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<front>
<journal-meta>
<journal-id journal-id-type="publisher-id">Front. Immunol.</journal-id>
<journal-title>Frontiers in Immunology</journal-title>
<abbrev-journal-title abbrev-type="pubmed">Front. Immunol.</abbrev-journal-title>
<issn pub-type="epub">1664-3224</issn>
<publisher>
<publisher-name>Frontiers Media S.A.</publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="doi">10.3389/fimmu.2024.1411393</article-id>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Immunology</subject>
<subj-group>
<subject>Review</subject>
</subj-group>
</subj-group>
</article-categories>
<title-group>
<article-title>Engineering strategies to safely drive CAR T-cells into the future</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name>
<surname>Rossi</surname>
<given-names>Matteo</given-names>
</name>
<uri xlink:href="https://loop.frontiersin.org/people/2758079"/>
<role content-type="https://credit.niso.org/contributor-roles/writing-original-draft/"/>
<role content-type="https://credit.niso.org/contributor-roles/writing-review-editing/"/>
</contrib>
<contrib contrib-type="author" corresp="yes">
<name>
<surname>Breman</surname>
<given-names>Eytan</given-names>
</name>
<xref ref-type="author-notes" rid="fn001">
<sup>*</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/103105"/>
<role content-type="https://credit.niso.org/contributor-roles/writing-original-draft/"/>
<role content-type="https://credit.niso.org/contributor-roles/writing-review-editing/"/>
</contrib>
</contrib-group>
<aff id="aff1">
<institution>Celyad Oncology SA</institution>, <addr-line>Mont-Saint-Guibert</addr-line>, <country>Belgium</country>
</aff>
<author-notes>
<fn fn-type="edited-by">
<p>Edited by: Weinan Guo, Air Force Medical University, China</p>
</fn>
<fn fn-type="edited-by">
<p>Reviewed by: Jiawen Huang, Sichuan Academy of Medical Sciences and Sichuan Provincial People&#x2019;s Hospital, China</p>
<p>Muhammad Sadeqi Nezhad, University of Rochester Medical Center, United States</p>
</fn>
<fn fn-type="corresp" id="fn001">
<p>*Correspondence: Eytan Breman, <email xlink:href="mailto:ebreman@celyad.com">ebreman@celyad.com</email>
</p>
</fn>
</author-notes>
<pub-date pub-type="epub">
<day>19</day>
<month>06</month>
<year>2024</year>
</pub-date>
<pub-date pub-type="collection">
<year>2024</year>
</pub-date>
<volume>15</volume>
<elocation-id>1411393</elocation-id>
<history>
<date date-type="received">
<day>02</day>
<month>04</month>
<year>2024</year>
</date>
<date date-type="accepted">
<day>27</day>
<month>05</month>
<year>2024</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#xa9; 2024 Rossi and Breman</copyright-statement>
<copyright-year>2024</copyright-year>
<copyright-holder>Rossi and Breman</copyright-holder>
<license xlink:href="http://creativecommons.org/licenses/by/4.0/">
<p>This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.</p>
</license>
</permissions>
<abstract>
<p>Chimeric antigen receptor (CAR) T-cell therapy has proven a breakthrough in cancer treatment in the last decade, giving unprecedented results against hematological malignancies. All approved CAR T-cell products, as well as many being assessed in clinical trials, are generated using viral vectors to deploy the exogenous genetic material into T-cells. Viral vectors have a long-standing clinical history in gene delivery, and thus underwent iterations of optimization to improve their efficiency and safety. Nonetheless, their capacity to integrate semi-randomly into the host genome makes them potentially oncogenic via insertional mutagenesis and dysregulation of key cellular genes. Secondary cancers following CAR T-cell administration appear to be a rare adverse event. However several cases documented in the last few years put the spotlight on this issue, which might have been underestimated so far, given the relatively recent deployment of CAR T-cell therapies. Furthermore, the initial successes obtained in hematological malignancies have not yet been replicated in solid tumors. It is now clear that further enhancements are needed to allow CAR T-cells to increase long-term persistence, overcome exhaustion and cope with the immunosuppressive tumor microenvironment. To this aim, a variety of genomic engineering strategies are under evaluation, most relying on CRISPR/Cas9 or other gene editing technologies. These approaches are liable to introduce unintended, irreversible genomic alterations in the product cells. In the first part of this review, we will discuss the viral and non-viral approaches used for the generation of CAR T-cells, whereas in the second part we will focus on gene editing and non-gene editing T-cell engineering, with particular regard to advantages, limitations, and safety. Finally, we will critically analyze the different gene deployment and genomic engineering combinations, delineating strategies with a superior safety profile for the production of next-generation CAR T-cell.</p>
</abstract>
<kwd-group>
<kwd>CAR T-cells</kwd>
<kwd>cell engineering</kwd>
<kwd>gene editing</kwd>
<kwd>gene modification</kwd>
<kwd>transgene delivery</kwd>
</kwd-group>
<counts>
<fig-count count="2"/>
<table-count count="2"/>
<equation-count count="0"/>
<ref-count count="219"/>
<page-count count="18"/>
<word-count count="10261"/>
</counts>
<custom-meta-wrap>
<custom-meta>
<meta-name>section-in-acceptance</meta-name>
<meta-value>Cancer Immunity and Immunotherapy</meta-value>
</custom-meta>
</custom-meta-wrap>
</article-meta>
</front>
<body>
<sec id="s1" sec-type="intro">
<label>1</label>
<title>Introduction</title>
<p>In the last decade, immune cell therapy, and in particular the introduction of chimeric antigen receptor (CAR) T-cells, reprogrammed immune cells expressing a CAR to specifically target tumor antigens, has left an outstanding mark in oncological research and clinical practice, revolutionizing the way we conceive cancer therapy. Unprecedented results, with complete responses as high as &gt;90%, were achieved in several hematological malignancies such as advanced or resistant large B-cell lymphoma, acute lymphoblastic leukemia, and multiple myeloma (<xref ref-type="bibr" rid="B1">1</xref>, <xref ref-type="bibr" rid="B2">2</xref>).</p>
<p>Despite the initial successes scored by immune cell therapy, the limitations of the approach are steadily becoming clearer. The autologous T-cell collection from patients in sufficient number and quality for manufacturing purposes can be difficult, due to the underlying disease and to prior therapies, and the current vein-to-vein time for CAR T-cell products can be incompatible with the status of patients with aggressive and fast-progressing disease. Moreover, further challenges need to be overcome in solid tumor indications. Homogeneously expressed tumor antigens that are not shared by critical healthy tissues are difficult to find, and the harsh conditions of the tumor microenvironment (TME), including chronic antigen stimulation, insufficient co-stimulation, low pH, limited oxygen and nutrients, toxic metabolites, and immunosuppressive factors, limit CAR T-cell homing and migration and induce exhaustion (<xref ref-type="bibr" rid="B3">3</xref>). It is therefore clear that further improvements are needed to expand the range of applicability of CAR T-cells and to achieve satisfactory results in other indications.</p>
<p>Many of the aforementioned limitations could be tackled by acting upon two key parameters: the delivery methodology of the transgene and the engineering strategy used for the improvement of the CAR T-cell therapy.</p>
<p>Indeed, optimizing criteria such as the efficiency and stability of transgene expression, the genetic cargo capacity, the scalability, and the production costs would improve the manufacturability of the CAR T-cells and allow for more extensive manipulation. For the purpose, a variety of approaches are currently being evaluated for transgene delivery (<xref ref-type="fig" rid="f1">
<bold>Figure&#xa0;1</bold>
</xref>, <xref ref-type="table" rid="T1">
<bold>Table&#xa0;1</bold>
</xref>), both vector-based (&#x3b3;-retroviruses, lentiviruses) and non-vector-based (transposons, nanovectors, mRNA). Likewise, engineering the CAR T-cells beyond the mere CAR introduction may help improve both their manufacturability and functionality. A typical example is the ablation of key T-cell surface markers, such as the T-cell receptor and the Human leukocyte antigens (HLAs) to generate allogeneic, off-the-shelf CAR T-cells, and thus make the therapy more easily and broadly available. Another sought-after engineering goal, aimed at providing better resistance and performance of the CAR T-cells in the TME, is the elimination of negative regulators of the T-cell function (e.g. receptors for immune checkpoint or for inhibitory cytokines). Many different engineering strategies are being developed to improve these as well as other CAR T-cell characteristics (<xref ref-type="fig" rid="f2">
<bold>Figure&#xa0;2</bold>
</xref>, <xref ref-type="table" rid="T2">
<bold>Table&#xa0;2</bold>
</xref>). In particular, gene editing, and especially clustered regulatory interspaced short palindromic repeat/associated nuclease protein 9 (CRISPR/Cas9)-based approaches, made genetic engineering faster, easier, and more versatile than ever (<xref ref-type="bibr" rid="B4">4</xref>).</p>
<fig id="f1" position="float">
<label>Figure&#xa0;1</label>
<caption>
<p>Schematic illustration of different gene delivery methods. Methodologies are divided into <italic>in vivo</italic>, <italic>ex vivo</italic> viral and <italic>ex vivo</italic> non-viral methodologies. Lentiviruses, retroviruses and transposons all are incorporated into the genome, and lead to stable CAR expression (<italic>upper half</italic>). In contrast, AAV LNP/Nanocarriers and mRNA all lead to transient CAR expression (<italic>lower half</italic>).</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fimmu-15-1411393-g001.tif"/>
</fig>
<table-wrap id="T1" position="float">
<label>Table&#xa0;1</label>
<caption>
<p>Advantages, limitations, and safety risks associated with the different transgene delivery systems.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="top" rowspan="2" align="center"/>
<th valign="top" colspan="2" align="center">Viral delivery systems</th>
<th valign="top" colspan="3" align="center">Non-viral delivery systems</th>
<th valign="top" colspan="3" align="center">
<italic>In vivo</italic> delivery systems</th>
</tr>
<tr>
<th valign="top" align="center">&#x3b3;-retroviruses</th>
<th valign="top" align="center">Lentiviruses</th>
<th valign="top" align="center">Transposons</th>
<th valign="top" align="center">Nanovectors</th>
<th valign="top" align="center">mRNA</th>
<th valign="top" align="center">Lentiviruses</th>
<th valign="top" align="center">AAVs</th>
<th valign="top" align="center">LNPs, NCs</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">Transfer method to the target cells</td>
<td valign="top" align="center">Transduction (<italic>ex vivo</italic>)</td>
<td valign="top" align="center">Transduction (<italic>ex vivo</italic>)</td>
<td valign="top" align="center">Electroporation</td>
<td valign="top" align="center">Electroporation</td>
<td valign="top" align="center">Electroporation, cationic lipids or polymers</td>
<td valign="top" align="center">Transduction (<italic>in vivo</italic>)</td>
<td valign="top" align="center">Transduction (<italic>in vivo</italic>)</td>
<td valign="top" align="center">Endocytosis</td>
</tr>
<tr>
<td valign="top" align="left">Efficiency</td>
<td valign="top" align="center">High</td>
<td valign="top" align="center">High</td>
<td valign="top" align="center">Moderate to low</td>
<td valign="top" align="center">Moderate</td>
<td valign="top" align="center">High</td>
<td valign="top" align="center">High</td>
<td valign="top" align="center">High</td>
<td valign="top" align="center">High</td>
</tr>
<tr>
<td valign="top" align="left">Cargo size</td>
<td valign="top" align="center">Limited (&lt;10 kb)</td>
<td valign="top" align="center">Limited (&lt;10 kb)</td>
<td valign="top" align="center">Large (~14 kb, &gt;100 kb with BACs)</td>
<td valign="top" align="center">N/A</td>
<td valign="top" align="center">N/A</td>
<td valign="top" align="center">Limited (&lt;10 kb)</td>
<td valign="top" align="center">Limited (&lt;4 kb)</td>
<td valign="top" align="center">N/A</td>
</tr>
<tr>
<td valign="top" align="left">Integration</td>
<td valign="top" align="center">Semi-random</td>
<td valign="top" align="center">Semi-random</td>
<td valign="top" align="center">Random (SB), semi-random (PB)</td>
<td valign="top" align="center">No</td>
<td valign="top" align="center">No</td>
<td valign="top" align="center">Semi-random</td>
<td valign="top" align="center">No</td>
<td valign="top" align="center">No</td>
</tr>
<tr>
<td valign="top" align="left">Stability of gene expression</td>
<td valign="top" align="center">High</td>
<td valign="top" align="center">High</td>
<td valign="top" align="center">High</td>
<td valign="top" align="center">Transient</td>
<td valign="top" align="center">Transient</td>
<td valign="top" align="center">High</td>
<td valign="top" align="center">Transient</td>
<td valign="top" align="center">Transient</td>
</tr>
<tr>
<td valign="top" align="left">Immunogenicity</td>
<td valign="top" align="center">N/A</td>
<td valign="top" align="center">N/A</td>
<td valign="top" align="center">N/A</td>
<td valign="top" align="center">N/A</td>
<td valign="top" align="center">N/A</td>
<td valign="top" align="center">Low</td>
<td valign="top" align="center">High</td>
<td valign="top" align="center">Very low</td>
</tr>
<tr>
<td valign="top" align="left">Manufacturing complexity</td>
<td valign="top" align="center">High</td>
<td valign="top" align="center">High</td>
<td valign="top" align="center">Moderate</td>
<td valign="top" align="center">Low</td>
<td valign="top" align="center">Low</td>
<td valign="top" align="center">High</td>
<td valign="top" align="center">High</td>
<td valign="top" align="center">Low</td>
</tr>
<tr>
<td valign="top" align="left">Manufacturing costs</td>
<td valign="top" align="center">High</td>
<td valign="top" align="center">High</td>
<td valign="top" align="center">Moderate</td>
<td valign="top" align="center">Low</td>
<td valign="top" align="center">Low</td>
<td valign="top" align="center">High</td>
<td valign="top" align="center">High</td>
<td valign="top" align="center">Low</td>
</tr>
<tr>
<td valign="top" align="left">Clinically evaluated for CAR T-cell generation</td>
<td valign="top" align="center">Yes</td>
<td valign="top" align="center">Yes</td>
<td valign="top" align="center">Yes</td>
<td valign="top" align="center">No</td>
<td valign="top" align="center">Yes</td>
<td valign="top" align="center">No<sup>1</sup>
</td>
<td valign="top" align="center">No<sup>1</sup>
</td>
<td valign="top" align="center">No</td>
</tr>
<tr>
<td valign="top" align="left">Theoretical risk of genotoxic effects</td>
<td valign="top" align="center">Yes</td>
<td valign="top" align="center">Yes</td>
<td valign="top" align="center">Yes</td>
<td valign="top" align="center">Extremely low</td>
<td valign="top" align="center">No</td>
<td valign="top" align="center">Yes</td>
<td valign="top" align="center">Extremely low</td>
<td valign="top" align="center">Extremely low</td>
</tr>
<tr>
<td valign="top" align="left">Reported genotoxic effects in the clinics</td>
<td valign="top" align="center">Yes</td>
<td valign="top" align="center">Yes</td>
<td valign="top" align="center">Yes</td>
<td valign="top" align="center">N/A</td>
<td valign="top" align="center">No</td>
<td valign="top" align="center">Yes</td>
<td valign="top" align="center">No</td>
<td valign="top" align="center">N/A</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>
<sup>1</sup> Clinically evaluated for gene therapy applications.</p>
</fn>
<fn>
<p>AAVs, adeno-associated viruses.</p>
</fn>
<fn>
<p>LNPs, lipid nanoparticles.</p>
</fn>
<fn>
<p>NCs, nanocarriers.</p>
</fn>
<fn>
<p>BACs, bacterial artificial chromosomes.</p>
</fn>
<fn>
<p>SB, Sleeping Beauty.</p>
</fn>
<fn>
<p>PB, Piggy Bac.</p>
</fn>
</table-wrap-foot>
</table-wrap>
<fig id="f2" position="float">
<label>Figure&#xa0;2</label>
<caption>
<p>Schematic illustration depicting methods for gene editing and non-gene editing technologies. Gene editing strategies used in CAR T-cells depicted are divided into nuclease-dependent gene-editing technologies (CRISPR/Cas9, Base editing, prime editing, and PASTE) and nuclease-independent gene editing technologies (CAST). Non-gene editing technologies (CRISPRa, CRISPRi, CRISPR/Cas13, and RNAi) are also shown.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fimmu-15-1411393-g002.tif"/>
</fig>
<table-wrap id="T2" position="float">
<label>Table&#xa0;2</label>
<caption>
<p>Advantages, limitations, and safety risks associated with the different CAR T-cell engineering technologies.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="top" rowspan="2" align="center"/>
<th valign="top" colspan="5" align="center">Gene editing technologies</th>
<th valign="top" colspan="3" align="center">Non-gene editing technologies</th>
</tr>
<tr>
<th valign="top" align="center">ZFN, TALEN</th>
<th valign="top" align="center">CRISPR/Cas9</th>
<th valign="top" align="center">Base editing</th>
<th valign="top" align="center">Prime editing</th>
<th valign="top" align="center">PASTE</th>
<th valign="top" align="center">CRISPRa, CRISPRi</th>
<th valign="top" align="center">CRISPR/Cas13</th>
<th valign="top" align="center">RNAi</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">Applicability to CAR T-cell engineering</td>
<td valign="top" align="center">Complex</td>
<td valign="top" align="center">Complex</td>
<td valign="top" align="center">Complex</td>
<td valign="top" align="center">Complex</td>
<td valign="top" align="center">Extremely complex</td>
<td valign="top" align="center">Moderate</td>
<td valign="top" align="center">Moderate</td>
<td valign="top" align="center">Easy</td>
</tr>
<tr>
<td valign="top" align="left">Clinically validated</td>
<td valign="top" align="center">No</td>
<td valign="top" align="center">Yes</td>
<td valign="top" align="center">No</td>
<td valign="top" align="center">No</td>
<td valign="top" align="center">No</td>
<td valign="top" align="center">No</td>
<td valign="top" align="center">No</td>
<td valign="top" align="center">Yes</td>
</tr>
<tr>
<td valign="top" align="left">Clinically evaluated for CAR T-cell generation</td>
<td valign="top" align="center">Yes</td>
<td valign="top" align="center">Yes</td>
<td valign="top" align="center">Yes</td>
<td valign="top" align="center">No</td>
<td valign="top" align="center">No</td>
<td valign="top" align="center">No</td>
<td valign="top" align="center">No</td>
<td valign="top" align="center">Yes</td>
</tr>
<tr>
<td valign="top" align="left">Multiplexing</td>
<td valign="top" align="center">Yes, difficult</td>
<td valign="top" align="center">Yes, difficult</td>
<td valign="top" align="center">Yes, difficult</td>
<td valign="top" align="center">Yes, difficult</td>
<td valign="top" align="center">N/A</td>
<td valign="top" align="center">Yes</td>
<td valign="top" align="center">Yes</td>
<td valign="top" align="center">Yes</td>
</tr>
<tr>
<td valign="top" align="left">Efficiency in CAR T-cells</td>
<td valign="top" align="center">Low</td>
<td valign="top" align="center">Good, but decreases with the number of targets</td>
<td valign="top" align="center">Low</td>
<td valign="top" align="center">Low</td>
<td valign="top" align="center">Low</td>
<td valign="top" align="center">High</td>
<td valign="top" align="center">High</td>
<td valign="top" align="center">High</td>
</tr>
<tr>
<td valign="top" align="left">Risk of genotoxic effects</td>
<td valign="top" align="center">High, increases with the number of targets</td>
<td valign="top" align="center">High, increases with the number of targets</td>
<td valign="top" align="center">Moderate</td>
<td valign="top" align="center">Moderate</td>
<td valign="top" align="center">Moderate</td>
<td valign="top" align="center">Extremely low</td>
<td valign="top" align="center">No</td>
<td valign="top" align="center">No</td>
</tr>
<tr>
<td valign="top" align="left">Risk of off-target effects</td>
<td valign="top" align="center">Moderate</td>
<td valign="top" align="center">Moderate</td>
<td valign="top" align="center">High</td>
<td valign="top" align="center">High</td>
<td valign="top" align="center">Low</td>
<td valign="top" align="center">Moderate</td>
<td valign="top" align="center">High</td>
<td valign="top" align="center">Low</td>
</tr>
</tbody>
</table>
</table-wrap>
<p>Novel CAR T-cell products are therefore emerging that rely on different combinations of transgene delivery systems and engineering approaches. This may lead the immune cell therapy field to advance toward new therapeutic successes, but at the same time it opens new outstanding questions about the clinical scalability, efficacy, and safety of these products. Safety in particular warrants special attention, as genotoxicity may occur, and has already been reported in some instances, both due to the delivery system and the engineering technology. Here, we will review the vectors and engineering tools used for CAR T-cell production at the clinical and preclinical level, as well as the up-and-coming approaches that are being explored for next-generation products, outline the advantages and limitations each of them has, and discuss which combinations may be exploited to design safer and more effective immune cell therapies.</p>
</sec>
<sec id="s2">
<label>2</label>
<title>Transgene delivery systems</title>
<sec id="s2_1">
<label>2.1</label>
<title>Retroviral-based vectors</title>
<p>Retroviral-based vectors are the preferred gene delivery system for the generation of CAR T-cells (<xref ref-type="bibr" rid="B5">5</xref>). Indeed, all U.S. Food and Drug Administration (FDA)-approved CAR T-cell therapies are engineered using vectors derived either from &#x3b3;-retroviruses (Yescarta, Tecartus) or lentiviruses (Kymriah, Breyanzi, Abecma, Carvykti), two of the seven members of the Retroviridae family (<xref ref-type="bibr" rid="B6">6</xref>, <xref ref-type="bibr" rid="B7">7</xref>).</p>
<p>Retroviruses are lipid-enveloped viruses with a single-stranded diploid RNA genome. Upon infection, the viral genomic RNA is retrotranscribed by an RNA-dependent DNA polymerase (reverse transcriptase) and integrates into the host genome thanks to specific sequences in the long terminal repeats (LTR) flanking the viral genome. The U3 region of the LTR also acts as a promoter/enhancer to drive the transcription of the viral genes. All retroviruses require the same basic elements to assemble the viral particle, although slightly different isoforms are used by &#x3b3;-retroviruses and lentiviruses: <italic>gag</italic>, encoding for the capsid proteins, <italic>pol</italic>, for the reverse transcriptase and other factors necessary for integration, and <italic>env</italic>, for the envelop glycoprotein, which determines the virus tropism. In the case of lentiviruses, the <italic>rev</italic> gene is also required to enhance the nuclear export and expression of the other transcripts (<xref ref-type="bibr" rid="B8">8</xref>).</p>
<p>The ability to efficiently deliver a cargo of up to 8&#x2013;10 kb (<xref ref-type="bibr" rid="B6">6</xref>, <xref ref-type="bibr" rid="B8">8</xref>), the weak immunogenicity (<xref ref-type="bibr" rid="B9">9</xref>, <xref ref-type="bibr" rid="B10">10</xref>), and the capacity to integrate their genetic information into the DNA of the host cells (<xref ref-type="bibr" rid="B6">6</xref>, <xref ref-type="bibr" rid="B8">8</xref>) make retroviral-based vectors especially suitable for gene delivery, ensuring a relatively high integration efficiency and long-term stable transgene expression.</p>
<sec id="s2_1_1">
<label>2.1.1</label>
<title>Safety considerations on retroviral-based vectors</title>
<p>The overall safety and efficacy of retroviral vectors for clinical applications has been proven in many clinical trials (reviewed in (<xref ref-type="bibr" rid="B11">11</xref>, <xref ref-type="bibr" rid="B12">12</xref>)), first in the gene therapy space and more recently in immune cell therapy. Still, several potential risks remain associated with the use of retroviral vectors in the clinics.</p>
<p>One obvious safety concern inherently linked to the use of viral vectors is that recombination of the vector with wild-type viruses may lead to the unintended generation of replication-competent viral particles, during vector or CAR T-cell manufacturing or in the recipient patients. Thanks to the long-standing preclinical and clinical experience with viral vector delivery in gene therapy, this risk has been greatly mitigated by optimizing the packaging system design. Indeed, in current third-generation retroviral packaging systems, the genes required for vector production are split across three different plasmids: one plasmid carries the engineered viral genome, containing the transgene(s) and only the viral sequences necessary for packaging and integration, whereas all the other components are supplied <italic>in trans</italic> by a second plasmid providing the structural <italic>gag</italic> gene and the regulatory proteins, and by a third plasmid providing the <italic>env</italic> protein. Such design ensures that, even in case of a recombination event between the engineered vectors and the genome of wild-type viruses, the resulting genetic material will never carry all the essential viral genes and therefore that no replication-competent viral particles can emerge. Safety can be further increased by introducing deletions in the U3 region of the LTR, which functions as promoter/enhancer for the viral genome, thus making the viral vector self-inactivating (SIN) upon integration (<xref ref-type="bibr" rid="B13">13</xref>). Most of the lentiviral vectors used in clinical applications are third-generation SIN vectors (<xref ref-type="bibr" rid="B14">14</xref>), ensuring a higher safety profile, although they pose alternative issues during manufacturing, as the LTR deletions tend to reduce the vector titers (<xref ref-type="bibr" rid="B15">15</xref>), and thus require further tweaking of the manufacturing conditions, such as optimization of the packaging cell lines, of the transduction efficiency and of the purification steps. At the regulatory level, the U.S. Food and Drug Administration (FDA) requires replication-competent retroviruses (RCRs) and lentiviruses (RCLs) detection assays for viral vectors and virally transduced cell products (<xref ref-type="bibr" rid="B16">16</xref>), and many CAR T-cell clinical trial protocols establish patient testing for preexisting viral infections as a requirement.</p>
<p>A second risk associated with CAR T-cell manufacturing with viral vectors is the unintentional introduction of the transgene in other cell types. Viral vectors are pseudotyped, i.e., the original <italic>env</italic> glycoprotein is replaced to improve the tropism for different primary cell types. Lentiviral vectors, in particular, commonly use the vesicular stomatitis virus glycoprotein (VSV-G), which recognizes the ubiquitously expressed low-density lipoprotein (LDL) receptor (<xref ref-type="bibr" rid="B14">14</xref>). Pseudotyping with VSV-G allows the transduction of a wide range of cells, but at the same time increases the chance of off-target transduction. Development of a resistant transgenic leukemia clone has already occurred in a patient treated with the CAR T-cell therapy Kymriah, manufactured with a VSV-G pseudotyped lentiviral vector, upon the accidental transduction of a leukemia B cell during production (<xref ref-type="bibr" rid="B17">17</xref>). Although rare, such events highlight the risk of using integrating vectors with broad tropism. As alternatives, the introduction of more stringent purification steps during manufacturing or the use of more specific <italic>env</italic> glycoproteins, such as a measles envelope-based chimeric protein capable of targeting the CD3 receptor only present on T-cells (<xref ref-type="bibr" rid="B18">18</xref>), have been proposed.</p>
<p>A third outstanding point is whether CAR integration in the T-cell genome can affect the safety and efficacy of CAR T-cell therapy. Despite the integration of retroviral vectors being not targeted, it is not a random process. Rather, it has been defined as semi-random, as different genomic features are diversely susceptible (<xref ref-type="bibr" rid="B19">19</xref>, <xref ref-type="bibr" rid="B20">20</xref>): vector integration preferentially occurs at fragile sites, transcriptionally active regions and those recurrently involved in translocation events (<xref ref-type="bibr" rid="B21">21</xref>&#x2013;<xref ref-type="bibr" rid="B26">26</xref>). &#x3b3;-retroviruses and lentiviruses exhibit a distinct pattern of integration within the host genome (<xref ref-type="bibr" rid="B27">27</xref>), which is maintained in the derivative gene delivery systems (<xref ref-type="bibr" rid="B28">28</xref>) and has been confirmed in CAR T-cells generated with these technologies (<xref ref-type="bibr" rid="B29">29</xref>). &#x3b3;-retroviral vectors preferential insert near transcription start sites, CpG islands, enhancers, and promoters. Given the promiscuous nature of the &#x3b3;-retroviral LTR enhancer/promoter, insertion close to regulatory elements can lead to induction of neighboring host genes. If proto-oncogenes are involved, this may result in oncogenic transformation: in two distinct clinical trials for the treatment of inherited immunodeficiencies, patients injected with &#x3b3;-retrovirus-engineered hematopoietic stem cells developed leukemia as a result of insertional activation of proto-oncogenes <italic>LMO2</italic>, <italic>MDS1</italic>-<italic>EVI1</italic>, <italic>PRDM16</italic> and <italic>SETBP1</italic> (<xref ref-type="bibr" rid="B30">30</xref>, <xref ref-type="bibr" rid="B31">31</xref>). Lentiviral vectors, on the other hand, integrate more frequently within transcription units, preferentially in introns of transcriptionally active genes. Such integration pattern, along with the frequent use of eukaryotic promoters in SIN vectors to replace the inactive LTR promoter/enhancer, reduces the risk of insertional oncogenesis for lentiviral vectors (<xref ref-type="bibr" rid="B32">32</xref>). Still, the site of CAR integration may affect gene expression at the transcriptional level, by leading to loss-of-function mutations, or at the post-transcriptional level, by impairing alternative splicing (<xref ref-type="bibr" rid="B29">29</xref>). These alterations can in turn impact CAR T-cell function and, as a consequence, the therapeutic outcome. In a genome-wide analysis of retroviral vector integration on pre-infusion CAR T-cell products, poor clinical response was associated with more integration events in genes involved in neutrophil activation (<xref ref-type="bibr" rid="B29">29</xref>), which may mediate immune suppression activity (<xref ref-type="bibr" rid="B33">33</xref>, <xref ref-type="bibr" rid="B34">34</xref>). Likewise, in patients experiencing high-grade cytokine release syndrome (CRS) insertions were most commonly found in pathways involved in acetyltransferase/transmembrane transporter activity (<xref ref-type="bibr" rid="B29">29</xref>). In a leukemia patient, complete response was driven by the profound expansion of a single CD19 CAR T-cell clone (<xref ref-type="bibr" rid="B35">35</xref>). The unusual clonal expansion was linked to loss of TET2 activity: the patient carried a missense mutation in one allele of the <italic>TET2</italic> locus, and the CAR transgene had integrated into the functional <italic>TET2</italic> allele, thus abolishing TET2 function (<xref ref-type="bibr" rid="B35">35</xref>). Similarly, clonal expansion of a CD22 CAR T-cell upon integration of the transgene in the <italic>CBL</italic> locus was observed prior to eradication of residual disease in a patient with B-cell acute lymphoblastic leukemia (<xref ref-type="bibr" rid="B36">36</xref>). Although in the last two examples the insertional mutagenesis events resulted in the expansion of therapeutically effective clones, insertion in undesirable loci may stochastically lead to less favorable outcomes. As of December 31, 2023, the FDA has reports 22 cases of secondary T-cell cancers in patients treated with five of the six FDA-approved CAR T-cell products (<xref ref-type="bibr" rid="B37">37</xref>). Among the 14 cases for which adequate data were available, half have manifested within 1 year from administration (range: 1 to 19 months), and in three cases the CAR transgene has been detected in the malignant clone, suggesting a direct involvement of the CAR T-cell product in the development of the secondary malignancy. With more than 27,000 doses of administered only in the United States to date, the overall rate of CAR T-cell-related secondary cancers is still quite low. However, the diffusion of CAR T-cell therapies, particularly for indications outside oncology (<xref ref-type="bibr" rid="B38">38</xref>&#x2013;<xref ref-type="bibr" rid="B42">42</xref>), calls for particular attention to the matter. Along this line, the FDA has recently issued a draft guidance recommending the long-term monitoring for adverse events, including cancer, of patients receiving CAR T-cell products engineered with integrating vectors (<xref ref-type="bibr" rid="B43">43</xref>).</p>
</sec>
</sec>
<sec id="s2_2">
<label>2.2</label>
<title>Non-viral gene delivery</title>
<p>Despite their widespread use, the application of viral vectors for CAR T-cell generation is subjected to several limitations. Safety concerns linked to the risk of insertional mutagenicity are emerging and, as a consequence, the regulatory constraints are becoming increasingly complex. Moreover, the payload size, although sufficient for classic CARs, may become limiting for more advanced designs requiring the expression of other elements (e.g., armored CAR T-cells, dual CARs, or tandem CARs) (<xref ref-type="bibr" rid="B44">44</xref>). From the manufacturing standpoint, large-scale GMP-grade viral vector production involves intricate production, purification, and quality assessment steps and is costly. Hence alternative, non-viral delivery methods for the generation of CAR T-cells are actively being explored, such as transposons, nanovectors and integration-deficient viral vectors.</p>
<sec id="s2_2_1">
<label>2.2.1</label>
<title>Transposon-based delivery systems</title>
<p>Among non-viral gene delivery methods, transposon-based systems are the most advanced and promising in preclinical and clinical settings. Transposons are mobile genetic elements with the ability to reposition themselves within the genome (<xref ref-type="bibr" rid="B45">45</xref>, <xref ref-type="bibr" rid="B46">46</xref>). Classically, transposons encode for a transposase gene flanked by inverted terminal repeats (ITRs). The transposase recognizes and binds sequences into the ITRs, catalyzes the excision of the transposon from its original position, and integrates it into another chromosomal locus, without the need for sequence homology. Transposon-based delivery systems have been designed by splitting the transposase function and the ITRs into two components, with the payload lying between the two ITRs in a transposon vector or minicircle, and the transposase supplied in <italic>trans</italic>. The most widely used transposon delivery systems are the Sleeping Beauty (SB), reconstructed from inactive transposon sequences isolated from fish genomes (<xref ref-type="bibr" rid="B47">47</xref>) and the first transposon shown capable of efficient transposition in vertebrate cells, and the PiggyBac (PB), originally identified in insect cell lines (<xref ref-type="bibr" rid="B48">48</xref>). The two systems have many common characteristics and advantages. They allow permanent genomic insertion of transgene cassettes, leading to sustained and efficient transgene expression. Opposed to retroviral vectors, that undergo a severe loss of vector titer for payloads above ~9 kb, they have less strict constrains on the cargo size: the PB system can accommodate up to ~14 kb, and the SB has been pushed to over 100 kb when in combination with bacterial artificial chromosome (BACs) (<xref ref-type="bibr" rid="B49">49</xref>). The transposon elements can be maintained and propagated as plasmid DNA, making them simple and inexpensive to manufacture, with estimated costs 5 to 10 times lower than the viral vector production (<xref ref-type="bibr" rid="B50">50</xref>). Moreover, transposon systems efficiently transfect resting and na&#xef;ve primary T-cells, not requiring T-cell activation as a prerequisite for gene delivery during CAR T-cell manufacturing, and thus potentially leading to products with superior phenotypical characteristics (<xref ref-type="bibr" rid="B51">51</xref>). As such, transposon-based gene delivery systems maintain the favorable characteristics of integrating viral vectors (i.e., stable chromosomal integration and long-lasting transgene expression) while bypassing many of their shortcomings (<xref ref-type="bibr" rid="B15">15</xref>).</p>
</sec>
<sec id="s2_2_2">
<label>2.2.2</label>
<title>Limitations and advancements of transposon-based delivery systems</title>
<p>Although the greater cargo capacity remains one of the main advantages of transposons over viral delivery systems, an inverse correlation between the size of the payload and the efficiency of the transposition has been observed, and overall transposons display lower transfection efficiencies than viruses (<xref ref-type="bibr" rid="B52">52</xref>, <xref ref-type="bibr" rid="B53">53</xref>). This is partially linked to the technology most widely used to deliver the transposon components into the target cells. Indeed, the primary method of non-viral gene delivery is through electroporation, i.e. the application of electrical fields to cells to generate pores in the cell membrane, allowing the entrance of the exogenous material. This technique, however, can cause high stress to the recipient cells, resulting in decreased viability and cell loss (<xref ref-type="bibr" rid="B54">54</xref>&#x2013;<xref ref-type="bibr" rid="B56">56</xref>). As one of the main factors determining the magnitude of the damage is the amount of DNA delivered, the electroporation toxicity can be mitigated by reducing the size of the transposon vector, e.g. by using minicircles (<xref ref-type="bibr" rid="B57">57</xref>), and by delivering the transposase in other forms than plasmid DNA, e.g. mRNA or protein (<xref ref-type="bibr" rid="B58">58</xref>). These alternatives also grant a higher level of safety over the delivery as DNA, due to the transient expression of the enzyme and the impossibility of integration of the transposase-coding sequence into the host genome, thus preventing the repeated and unintentional mobilization of the transposon. In parallel, transposases have also been extensively optimized, increasing their transposition efficiency (<xref ref-type="bibr" rid="B59">59</xref>&#x2013;<xref ref-type="bibr" rid="B62">62</xref>), to make CAR T-cell production through this method more scalable (<xref ref-type="bibr" rid="B60">60</xref>). In particular, the current benchmark SB transposase, SB100X (<xref ref-type="bibr" rid="B59">59</xref>), allows for viral-vector-like efficiency of gene integration, thanks to a 100-fold increase in transposition activity in comparison to the first-generation enzyme. Such improvement comes from the combination of molecular evolution and rational, crystal structure-driven optimization of the DNA binding domain through point mutation (<xref ref-type="bibr" rid="B61">61</xref>). Through a similar approach, the SB100X transposase has been further engineered to overcome the stability, solubility, and aggregation issues that limited its use as recombinant protein in CAR T-cell manufacturing (<xref ref-type="bibr" rid="B58">58</xref>). The improved biochemical properties of this high solubility SB (hsSB) enable purification of biologically active recombinant protein, electroporation of the protein into human cells, and freeze-thaw cycles without compromising transposase activity. As a result, anti-CD19 CAR T-cells could be efficiently generated via hsSB electroporation and displayed antitumor potency in xenograft mice comparable to approved viral vector-based commercial products (<xref ref-type="bibr" rid="B58">58</xref>).</p>
</sec>
<sec id="s2_2_3">
<label>2.2.3</label>
<title>Safety considerations on transposon-based delivery systems</title>
<p>In the last decade, an increasing number of clinical trials has been launched using CAR T-cells generated via transposon-based delivery systems (extensively reviewed in (<xref ref-type="bibr" rid="B15">15</xref>, <xref ref-type="bibr" rid="B63">63</xref>, <xref ref-type="bibr" rid="B64">64</xref>)), with efficacy results in line with trials based on retroviral-vector generated CAR T-cells. Unfortunately, however, the same kind of safety issues have also emerged. In the CARTELL trial (ACTRN12617001579381), a phase-I study investigating the efficacy and safety in relapsed and refractory B-cell malignancies of an anti-CD19 CAR T-cell product generated with the PB technology, 2 out of 10 patients developed CAR T-cell-originated lymphoma, resulting in one fatality (<xref ref-type="bibr" rid="B65">65</xref>). <italic>Post-hoc</italic> analysis revealed an unusually high vector copy number (VCN) of the transgene (24 in one patient, compared to the FDA-recommended threshold of 5) in the malignant CAR T-cells, associated with significant copy number gains and losses of multiple chromosomes and transcriptional readthrough from the transgene promoter, although the other patient only showed a VCN of 4 (<xref ref-type="bibr" rid="B66">66</xref>). Interestingly, intronic insertion into the <italic>BACH2</italic> gene, with consequent downregulation of the gene expression, was observed in both patients. BACH2 is a DNA-binding transcriptional regulator with a putative tumor suppressor role and has already been associated with cutaneous T-cells lymphomas (<xref ref-type="bibr" rid="B67">67</xref>, <xref ref-type="bibr" rid="B68">68</xref>). Although no causal correlation could be established between these events and the CAR T-cell-originated malignancies in exam, it is conceivable that a high VCN and the integration into or in the vicinity of proto-oncogenes increase the probability of insertional oncogenesis (<xref ref-type="bibr" rid="B64">64</xref>).</p>
<p>Conversely, no adverse events were observed in clinical trials where CAR T-cells were generated via SB technology. The reason may reside in the different integration profiles of the two transposon-derived vectors. Indeed, PB displays a &#x3b3;-retrovirus-like integration pattern, with a higher frequency of insertion into transcriptional start sites of genes, CpG islands and DNase I hypersensitive sites (<xref ref-type="bibr" rid="B69">69</xref>, <xref ref-type="bibr" rid="B70">70</xref>), and it is more prone than SB to associate with oncogenes (<xref ref-type="bibr" rid="B71">71</xref>). Conversely, SB integration occurs in a close-to-random manner (<xref ref-type="bibr" rid="B69">69</xref>, <xref ref-type="bibr" rid="B72">72</xref>), so that SB has a higher probability to land in safe harbor sites compared to PB and retroviral vectors (<xref ref-type="bibr" rid="B69">69</xref>).</p>
<p>Another safety liability of the PB system may be the recent discovery in the human genome of an active DNA transposase with high homology to the PB enzyme, namely piggyBac transposable element derived 5 (PGBD5) (<xref ref-type="bibr" rid="B73">73</xref>, <xref ref-type="bibr" rid="B74">74</xref>). PGBD5 catalytic activity has already been mechanistically linked to site-specific DNA rearrangements associated with several childhood solid tumor types (<xref ref-type="bibr" rid="B75">75</xref>). PGBD5 can possibly mediate the remobilization of PB transposons in PB-engineered human cells, although some observations suggest that PGBD5 may not be able to efficiently bind, excise or integrate the PB transposon, due to species-restricted recognition of the cognate ITRs (<xref ref-type="bibr" rid="B76">76</xref>).</p>
<p>Based on the available information, despite both transposon-based systems overall represent a valid alternative to viral vectors for CAR T-cell manufacturing, SB may have an edge over PB and viral vectors themselves thanks to its more favorable safety profile. Still, it is important to remark that any technology based on the integration of genetic material into the host genome presents an inherent risk of causing adverse events due to gene dysregulation or insertional mutagenesis.</p>
</sec>
<sec id="s2_2_4">
<label>2.2.4</label>
<title>Non-integrating delivery systems</title>
<p>Approaches that do not require the stable integration of the CAR-encoding transgene may overcome the risks associated with integration. Potential alternatives under preclinical investigation are non-viral episomal DNA nanovectors, such as the nano-S/MARt (nS/MARt) (<xref ref-type="bibr" rid="B77">77</xref>), and integration-deficient viral vectors (<xref ref-type="bibr" rid="B78">78</xref>, <xref ref-type="bibr" rid="B79">79</xref>). Despite proof of concept for the generation of clinical-grade CAR T-cells using these technologies has been obtained, the therapeutic efficacy of such products still awaits clinical validation. Another strategy to eliminate the risk of oncogenic insertion is to transiently express the CAR from an mRNA template (<xref ref-type="bibr" rid="B80">80</xref>). The CAR-encoding mRNA, typically delivered into T-cells by electroporation, ensures transgene expression for approximately one week, with expression levels declining over time (<xref ref-type="bibr" rid="B80">80</xref>, <xref ref-type="bibr" rid="B81">81</xref>). Such transient expression may also be a valuable means to reduce potential toxicity, particularly when the CAR target is also present in healthy tissues. The available clinical data suggest that mRNA-generated CAR T-cells have a good safety profile and exhibit short-term anti-tumor efficacy (<xref ref-type="bibr" rid="B82">82</xref>, <xref ref-type="bibr" rid="B83">83</xref>), although by means of multiple injections, but their ability to achieve durable responses has yet to be proven.</p>
</sec>
</sec>
<sec id="s2_3">
<label>2.3</label>
<title>
<italic>In vivo</italic> CAR T-cell therapy</title>
<p>The next frontier of immune cell therapy manufacturing may completely eliminate <italic>ex vivo</italic> cell manipulation, and rather aim at the generation of the therapeutic cells directly <italic>in vivo</italic> (<xref ref-type="bibr" rid="B84">84</xref>). Indeed, the possibility of selectively delivering the genes of interest &#x2013; the CAR components in this specific case &#x2013; to the target cells directly within the patient&#x2019;s body would overcome in a single leap most manufacturing and logistic hurdles that currently limit the availability and diffusion of immune cell therapies.</p>
<p>In the last decade the toolbox for gene delivery has been further developed to meet the needs of immune cell therapy, with particular regard to the specificity of the vector targeting, in order to minimize toxicity linked to high vector doses and off-target effects. Target specificity was mainly pursued by giving the vectors selectivity for immune cell markers, like CD3, CD4, CD5, or CD8, through the use of high-affinity binders, such as scFvs or designed ankyrin repeat proteins (DARPins) (<xref ref-type="bibr" rid="B85">85</xref>). These advancements supported the successful <italic>in vivo</italic> generation of CAR T-cells in preclinical models.</p>
<p>The most widely used <italic>in vivo</italic> delivery systems to date are lentiviral vectors, adenovirus-associated vectors (AAVs), and non-viral vectors such as lipid nanoparticles (LNPs) and nanocarriers (NCs).</p>
<sec id="s2_3_1">
<label>2.3.1</label>
<title>Application of lentiviral vectors to <italic>in vivo</italic> CAR T-cell generation</title>
<p>VSV-G pseudotyped lentiviral vectors have a broad tropism, achieving high transduction efficiencies on different human cell types. A major risk for <italic>in vivo</italic> delivery is the unintentional engineering of non-target cells, as no selection and purification process of the recipient cells is possible. Attempts to alter receptor usage of the VSV-G protein have been made, e.g. by fusing to the VSV-G antibody single-chain variable fragments (scFv) specific for surface markers expressed on the target cells.Lentiviral vectors have been successfully targeted towards CD30 and epidermal growth factor receptor (EGFR) (<xref ref-type="bibr" rid="B86">86</xref>), but the engineering of VSV-G remains challenging, as it mediates both receptor binding and membrane fusion (<xref ref-type="bibr" rid="B87">87</xref>). A more viable strategy relies on the substitution of VSV-G with glycoproteins from alpha- and paramyxoviruses, which have separate envelope proteins for binding and fusion and thus allow for alterations of the tropism without interfering with the fusion process (<xref ref-type="bibr" rid="B88">88</xref>, <xref ref-type="bibr" rid="B89">89</xref>). Such lentiviral vectors have been targeted against T-cell markers (CD3, CD4, CD8) using both scFvs and DARPins (reviewed in (<xref ref-type="bibr" rid="B85">85</xref>), reaching an on-target selectivity in human peripheral blood mononuclear cells (PBMCs) of up to 99% (<xref ref-type="bibr" rid="B90">90</xref>).</p>
</sec>
<sec id="s2_3_2">
<label>2.3.2</label>
<title>Application of adenovirus-associated vectors (AAVs) to <italic>in vivo</italic> CAR T-cell generation</title>
<p>Despite their long history in gene therapy, AAVs suffer several limitations for <italic>in vivo</italic> CAR T-cell generation. Their single-stranded DNA genome allows for limited cargo capacity (~4 kb) (<xref ref-type="bibr" rid="B91">91</xref>) and for mostly transient transgene delivery, especially in actively proliferating cells such as activated lymphocytes (<xref ref-type="bibr" rid="B92">92</xref>). Moreover, due to the lack of an envelope, AAVs need to rely on clathrin-mediated endocytosis for binding and internalization, with the involvement of several capsid and cellular proteins in the process. This adds a layer of complexity to the tweaking of AAV specificity, requiring either the engineering of the capsid proteins or the functionalization of the capsid itself with the binders. Nonetheless, highly selective modification of CD8+ within primary human splenocytes was achieved though DARPin-targeted AAVs (DART-AAVs) (<xref ref-type="bibr" rid="B92">92</xref>). Furthermore, AAVs were successfully used for <italic>in vivo</italic> CAR T-cell generation in humanized mouse models (<xref ref-type="bibr" rid="B93">93</xref>) The obtained CAR T-cells showed potent, dose-dependent antitumor activity <italic>ex vivo</italic>, and <italic>in vivo</italic> functionality and efficiency comparable to that of conventionally manufactured CAR T-cells (<xref ref-type="bibr" rid="B93">93</xref>).</p>
</sec>
<sec id="s2_3_3">
<label>2.3.3</label>
<title>Non-viral technologies for <italic>in vivo</italic> CAR T-cell generation</title>
<p>The effort imbued in the development of SARS-CoV-2 vaccines led to a substantial advancement in non-viral vector technologies. These delivery systems rely on the chemical and physical properties of the payload and carrier combination, rather than on the sophisticated viral machinery. In LNPs, the nucleic acid is encapsulated in a lipid particle through electrostatic interaction, whereas in NCs its negative charges are exploited to complex it with positively charged polymers. They can host DNA or mRNA payloads and better preserve T-cell viability compared to other non-viral delivery technologies, such as electroporation (<xref ref-type="bibr" rid="B94">94</xref>). Furthermore, the possibility to be easily functionalized with targeting molecules and their low immunogenicity makes them highly suitable for <italic>in vivo</italic> CAR T-cell generation. In a head-to-head comparison between electroporation and LNPs for the <italic>ex vivo</italic> generation of CAR T-cells via mRNA delivery, LNPs led to prolonged mRNA persistence and CAR surface expression. The obtained CAR T-cells also showed a less exhausted phenotype, likely due to the reduced stress compared to electroporation (<xref ref-type="bibr" rid="B94">94</xref>). Both LNPs and NCs proved capable of delivering plasmid DNA and <italic>in vitro</italic>-transcribed RNA cargos to T-cells <italic>in vivo</italic> (<xref ref-type="bibr" rid="B95">95</xref>&#x2013;<xref ref-type="bibr" rid="B97">97</xref>), and antibody-conjugated LNPs were specifically targeted toward PECAM-1 (<xref ref-type="bibr" rid="B98">98</xref>), CD4 (<xref ref-type="bibr" rid="B99">99</xref>) and CD5-positive (<xref ref-type="bibr" rid="B96">96</xref>) cell populations.</p>
</sec>
<sec id="s2_3_4">
<label>2.3.4</label>
<title>Current limitations and outstanding issues in <italic>in vivo</italic> CAR T-cell therapy</title>
<p>In general, several factors need to be considered for the clinical translation of <italic>in vivo</italic> strategies. The vast majority of preclinical studies are performed in humanized mouse models, which provide only on-target cells of human origin, making the prediction of the vector biodistribution and of the off-targets in the human body difficult. Likewise, the kinetics of <italic>in vivo</italic>-generated CAR T-cells are necessarily different from their <italic>ex-vivo</italic>-produced counterparts: for the latter, high numbers of effector cells are instantly available upon administration, whereas for the former the vector injection leads to a limited pool of engineered cells, that will have to expand <italic>in vivo</italic> over time. How this difference may affect the behavior and the efficacy of the CAR T-cells in the clinical setting has yet to be elucidated. In all non-integrating technologies, the transgene expression is eventually lost, possibly requiring re-dosing to maintain CAR T-cell levels that ensure long-lasting tumor management. However, the immunogenicity of most vectors for <italic>in vivo</italic> use may be an obstacle for their repeated administration. Neutralizing antibodies have been shown to rise already after the first systemic injection for both LVs and AAVs (<xref ref-type="bibr" rid="B9">9</xref>, <xref ref-type="bibr" rid="B100">100</xref>), and pre-existing neutralizing antibodies may be present in a relevant fraction of the patients due to vaccinations or previous infections (<xref ref-type="bibr" rid="B101">101</xref>). Lastly, despite the eased manufacturing of <italic>in vivo</italic>-generated CAR T-cells, the availability of sufficient quantities of GMP-grade vectors will be a key factor in the clinical deployment of <italic>in vivo</italic> strategies.</p>
</sec>
</sec>
</sec>
<sec id="s3">
<label>3</label>
<title>Engineering strategies</title>
<p>Despite the unprecedented responses obtained with CAR T-cell therapies in hematological malignancies (<xref ref-type="bibr" rid="B102">102</xref>&#x2013;<xref ref-type="bibr" rid="B107">107</xref>), these initial successes did not translate into other indications, and results in solid tumors have been especially underwhelming (<xref ref-type="bibr" rid="B108">108</xref>, <xref ref-type="bibr" rid="B109">109</xref>). Multiple factors contribute to the poor clinical responses observed in these contexts. The tumor microenvironment (TME) of solid tumors often has immunosuppressive properties and imposes metabolic pressure on the CAR T-cells, thus promoting the formation of dysfunctional effector cells and regulatory T-cells (Treg) (<xref ref-type="bibr" rid="B110">110</xref>, <xref ref-type="bibr" rid="B111">111</xref>). As a result, current CAR T-cell products still exhibit poor long-term persistence and exhaustion in solid indications, limiting the duration of responses (<xref ref-type="bibr" rid="B112">112</xref>). In addition, a considerable fraction of patients cannot benefit from CAR T-cell therapies due to the poor quality and quantity of T-cells they can provide for autologous CAR T-cell manufacturing. Further engineering is therefore needed to overcome the hurdles encountered so far in the CAR T-cell field (<xref ref-type="table" rid="T2">
<bold>Table&#xa0;2</bold>
</xref>).</p>
<sec id="s3_1">
<label>3.1</label>
<title>Gene editing technologies</title>
<p>The advent and rapid development of gene-editing technologies has given researchers an outstanding toolbox for the engineering of CAR T-cells, allowing for the relatively easy knock-out of undesired genes and knock-in of useful transgenes. Nuclease-based systems, such as zinc-finger nucleases (ZFNs), meganucleases (<xref ref-type="bibr" rid="B113">113</xref>), transcription activator-like effector nucleases (TALENs) (<xref ref-type="bibr" rid="B114">114</xref>, <xref ref-type="bibr" rid="B115">115</xref>), megaTALs, and clustered regulatory interspaced short palindromic repeat/associated nuclease protein 9 (CRISPR/Cas9) (<xref ref-type="bibr" rid="B55">55</xref>, <xref ref-type="bibr" rid="B116">116</xref>)-derived systems all showed potential in CAR T-cell engineering and have been used in multiple clinical applications (<xref ref-type="bibr" rid="B117">117</xref>).</p>
<p>All these nuclease-based technologies create genetic modifications by means of the same fundamental principle: they introduce targeted DNA double-strand breaks (DSBs) in the cell genome, which are in turn unfaithfully repaired by the cell&#x2019;s DSB repair system, thus resulting in the target gene alteration. The two main mechanisms of repair, non-homologous end joining (NHEJ) and homology-directed repair (HDR) (<xref ref-type="bibr" rid="B118">118</xref>), are both exploited, to different aims. NHEJ is the predominant repair mechanism in the cell and mediates the direct ligation of the loose DNA ends at DSBs. Its error-prone nature often results in insertions or deletions at the repair site, leading to loss of genetic information or frameshift mutations that eventually knock out the target gene. HDR is less frequent and is mainly active during the late S- and G2- phases of the cell cycle, when DNA replication is completed and the sister chromatids can serve as repair templates. By supplying a template DNA with homology arms to the sequences flanking the DSB, in combination with the targeted nuclease, HDR can be exploited to knock in an exogenous sequence while knocking out the gene of interest. ZFN and TALEN-based technologies rely on protein modules for the target sequence recognition, whereas CRISPR-based systems use an RNA guide for this purpose.</p>
<p>The application of these technologies in CAR T-cell production and the resulting clinical trials have been extensively reviewed elsewhere (<xref ref-type="bibr" rid="B15">15</xref>, <xref ref-type="bibr" rid="B119">119</xref>&#x2013;<xref ref-type="bibr" rid="B123">123</xref>). Here we will mainly focus on the current limitations and safety concerns associated with their use in CAR T-cell engineering.</p>
<sec id="s3_1_1">
<label>3.1.1</label>
<title>Safety considerations on gene editing technologies</title>
<p>A first risk factor while using nuclease-based genome editing approaches is the possibility of accidentally introducing off-target cleavages. Indeed, Cas9:gRNA complexes can recognize and bind genetic loci with as little as 5-nt of homology with their RNA guide (<xref ref-type="bibr" rid="B122">122</xref>), leading to unintended, irreversible off-target genetic alterations. A variety of strategies has been proposed to mitigate such risk, i.e., more sophisticated approaches to gRNA design (<xref ref-type="bibr" rid="B124">124</xref>, <xref ref-type="bibr" rid="B125">125</xref>) that rely on a deeper understanding of the parameters leading to off-target binding (<xref ref-type="bibr" rid="B126">126</xref>, <xref ref-type="bibr" rid="B127">127</xref>), the use of single-strand nickases along with paired sets of gRNAs (<xref ref-type="bibr" rid="B128">128</xref>&#x2013;<xref ref-type="bibr" rid="B130">130</xref>), or the delivery of a pre-formed Cas9:gRNA ribonucleoprotein (RNP) complexes into cells. The latter strategy allows for Cas9 to be active immediately, but the RNP is also quickly degraded once internalized, therefore decreasing the amount of time Cas9 is present for potential off-target cleavage (<xref ref-type="bibr" rid="B131">131</xref>, <xref ref-type="bibr" rid="B132">132</xref>).</p>
<p>Field evidences clearly point at the necessity of multiple genetic interventions to overcome the current CAR T-cell limitations, and gene editing technologies have already been explored for the simultaneous targeting of multiple genomic sites in T-cells (<xref ref-type="bibr" rid="B133">133</xref>&#x2013;<xref ref-type="bibr" rid="B137">137</xref>). Still, their use for multiplexed gene editing poses relevant biological and technical challenges. Some evidence show that the targeting of Cas9 to different genes simultaneously in human cells could in principle mediate genetic disruptions for each target at efficiencies similar to those achieved by targeting each locus individually (<xref ref-type="bibr" rid="B138">138</xref>). However, most often the co-occurrence of all the desired edits within the same cell wanes for high-grade multiplexing (<xref ref-type="bibr" rid="B122">122</xref>), posing a serious limit to the scalability and manufacturability of multi-edited products. The competition for a dwindling pool of endonucleases as the number of gRNAs scales up (<xref ref-type="bibr" rid="B139">139</xref>) may contribute to this phenomenon, giving raise to unpredictable patterns of genetic modification. To limit cross talk between components, different Cas nucleases have been used in combination, e.g. Cas9 and Cas12, each recognizing a slightly different gRNA structure, thus enabling orthogonal assembly of the ribonucleoprotein complexes (<xref ref-type="bibr" rid="B140">140</xref>). The downside of this approach, however, is that a much larger payload needs to be accommodated in the delivery vector, due to the combined presence of the different Cas nucleases.</p>
<p>If the off-target activity and the complexity of multiplexing might be mitigated in the future by advancements in gene-editing technologies, dealing with mutational events and chromosomal rearrangements represents a bigger challenge. Indeed, the biological mechanism behind gene editing itself, which relies on DSBs and on the error-prone DSB-repair machinery, is intrinsically at risk of introducing undesired mutations and chromosomal aberrations. CRISPR/Cas9 cleavage has been linked to gross chromosomal aberrations such as large deletions in early mouse (<xref ref-type="bibr" rid="B141">141</xref>, <xref ref-type="bibr" rid="B142">142</xref>) and human embryos (<xref ref-type="bibr" rid="B143">143</xref>), as well as in embryonic stem cells and induced pluripotent stem cells (<xref ref-type="bibr" rid="B144">144</xref>, <xref ref-type="bibr" rid="B145">145</xref>). More specifically in the CAR T-cell field, CRISPR-based editing of primary human T-cells at the TRAC locus (Ch14q11.2) was shown to lead to chromosome 14 truncation at the cleavage site in 5.3% of the cells (<xref ref-type="bibr" rid="B146">146</xref>). Given the acrocentric nature of chromosome 14, this is functionally equivalent to chromosomal loss. Even more strikingly, when the TRAC and TCRB (Ch7q34) loci were co-edited, the percentage of cells with chromosome 14 truncation raised to 9%, along with chromosome 7 truncation at the TCRB locus in 9.9% of the cells (<xref ref-type="bibr" rid="B146">146</xref>). This body of evidence is especially relevant for the immune cell therapy field, as TCR disruption is an obliged step for the generation of allogeneic CAR T-cell products. Lastly, the intrinsic <italic>modus operandi</italic> of the repair machinery, that acts stochastically on different alleles in the resolution of DSBs, may lead to intra-allelic mosaicism and, eventually, to batch-scale chimerism even in clonal genetically edited cell products (<xref ref-type="bibr" rid="B137">137</xref>, <xref ref-type="bibr" rid="B147">147</xref>, <xref ref-type="bibr" rid="B148">148</xref>).</p>
</sec>
</sec>
<sec id="s3_2">
<label>3.2</label>
<title>Evolutions of gene editing technologies</title>
<p>To overcome the risk of off-target cleavages and chromosomal aberrations inherent to classical nuclease-based gene-editing technologies, several innovative strategies are in active development, that do not rely on double-strand breaks and thus offer a potentially safer route to genetic editing. In particular, base editing and prime editing allow the introduction of genetic alterations without the requirement of inducing DSBs.</p>
<sec id="s3_2_1">
<label>3.2.1</label>
<title>Base and prime editing</title>
<p>Base editing consists in the sgRNA-directed exchange of single nucleotides mediated by modified forms of Cas9, Cas9 nickases (nCas9), which lack the capacity to cleave DNA, but instead are fused to bacterial deaminases to substitute single nucleotides on just one strand. These point mutations are subsequently resolved during DNA replication, ultimately altering the codon sequence, e.g., to insert premature STOP codons (<xref ref-type="bibr" rid="B149">149</xref>, <xref ref-type="bibr" rid="B150">150</xref>). CRISPR-free base editors have also been recently proposed (<xref ref-type="bibr" rid="B151">151</xref>). Base editors allow the correction of pathogenic allele variants, holding great promise for the therapy of monogenetic disorders, including sickle cell disease (<xref ref-type="bibr" rid="B152">152</xref>), &#x3b2;-hemoglobinopathies (<xref ref-type="bibr" rid="B153">153</xref>, <xref ref-type="bibr" rid="B154">154</xref>) and heterozygous familial hypercholesterolemia (<xref ref-type="bibr" rid="B155">155</xref>). The first applications in cellular immunotherapy are also emerging, e.g. to engineer fratricide-resistant CAR T-cells by targeting the pan-T lineage antigens CD3 and CD7 (<xref ref-type="bibr" rid="B156">156</xref>) and to generate allogeneic CAR T-cells through simultaneous KO of TRAC, CD52, CD7 and PD-1 (<xref ref-type="bibr" rid="B157">157</xref>). Compared to CRISPR-edited CAR T-cells, base-edited CAR T-cells showed improved proliferation, lower DNA damage response pathway activation, and no karyotypic abnormalities following multiplexed editing while proving efficacious against T-cell acute lymphoblastic leukemia (T-ALL) both <italic>in vitro</italic> and in preclinical models (<xref ref-type="bibr" rid="B157">157</xref>, <xref ref-type="bibr" rid="B158">158</xref>).</p>
<p>Base editing allows for transition mutations (purine-for-purine and pyrimidine-for-pyrimidine substitutions), but not for transversion mutations (swapping purines for pyrimidines and vice versa). Prime editing overcomes this limitation by linking nCas9 to a reverse transcriptase that allows for single base exchanges as well as insertions and deletions of synthetic DNA sequences (<xref ref-type="bibr" rid="B159">159</xref>). This technology, however, still suffers from limitations in editing efficiency and in the maximum size of the insert. Efforts are ongoing to improve these aspects, e.g. by designing more efficient guide RNAs for the nCas9 (<xref ref-type="bibr" rid="B160">160</xref>) and by building new iterations of the platform with increased payload capacity, such as paired-guide prime editing, which currently allows for insertions of up to ~5 kb (<xref ref-type="bibr" rid="B159">159</xref>).</p>
<p>Similarly to standard nuclease-based editors, base and prime editors are at risk of modifying off-target genomic sites. A general strategy to mitigate this risk has consisted in limiting cellular exposure to the editors beyond the duration necessary to achieve the desired on-target editing levels. The delivery of editors and guides as RNP complexes rather than as DNA sequences or the use of small-molecule-controlled editors greatly reduced off-target base editing (<xref ref-type="bibr" rid="B161">161</xref>&#x2013;<xref ref-type="bibr" rid="B163">163</xref>), exploiting the faster rate of on-target compared to off-target editing.</p>
</sec>
<sec id="s3_2_2">
<label>3.2.2</label>
<title>Recombinase- and transposase-based gene editing technologies</title>
<p>Targeting the transgene integration to selected loci has been a long-standing goal in gene editing, as it would overcome many of the safety risks associated with insertional mutagenesis. Unfortunately, none of the current clinical-stage engineering technologies fulfills this goal: viral and transposon-based delivery systems do not allow any targeting, whereas nuclease-based, HDR-dependent technologies are limited to actively dividing cells, strongly constraining their applicability. However, novel technologies with the potential of site-directed integration of large payloads are quickly emerging. Phage-derived site-specific recombinases can catalyze the exchange of two dsDNA sequences by recognizing a &#x201c;landing pad&#x201d; DNA sequence at the site of insertion. This characteristic has been exploited to mediate the recombination of large cargo sequences in the desired genomic locus pre-installed with the unique landing pads (<xref ref-type="bibr" rid="B164">164</xref>). Using this approach, incorporation of very large DNA payloads (&gt;100 kb) with very high efficiency (90%) after selection steps was shown in human iPSCs (<xref ref-type="bibr" rid="B4">4</xref>). Site-specific recombinases have remarkable advantages: they do not leave exposed DSBs, there is virtually no upper limit to the size of the cargo, and they are not prone to off-target effects, provided the pre-installed landing pad is inserted precisely on target. Still, their application is rather complex, consisting in multiple steps: the CRISPR-Cas-mediated pre-installment of the landing pads, the delivery of the recombinase-expressing vector and of the DNA payload, the removal of unnecessary auxiliary sequences (e.g. the vector backbones). Each of the steps requires selection and enrichment of the intermediate product cells to cope with the otherwise very low recombination rate (less than 1% in cells containing the landing pad), making this approach not yet scalable nor applicable to most primary cells (<xref ref-type="bibr" rid="B4">4</xref>). However, novel evolutions of this technology may overcome these constraints in the near future. Programmable addition via site-specific targeting elements (PASTE) technology, consisting of a Cas9 nickase fused to RT and a serine integrase, can integrate large sequences in human cell lines, primary T cells, and non-dividing primary human hepatocytes with efficiencies between 5% and 60% (<xref ref-type="bibr" rid="B165">165</xref>). Lastly, CRISPR-guided transposon systems (CAST), combining the site-specificity of a catalytically inactive Cas with the ability of the transposon machinery to integrate the cargo in the host genome, have been used to deliver payloads of up to 10 kb (<xref ref-type="bibr" rid="B166">166</xref>&#x2013;<xref ref-type="bibr" rid="B168">168</xref>), although their applications has been so far limited to gene editing in bacteria.</p>
<p>Although these novel approaches do not yet show efficiencies required for clinical scalability and manufacturing and have not been sufficiently tested in primary cells, the extremely rapid evolution of the field may soon bring them closer to be applied in clinical settings.</p>
</sec>
</sec>
<sec id="s3_3">
<label>3.3</label>
<title>Non-gene editing technologies</title>
<p>All gene editing technologies directly intervene on the DNA sequence, with two unavoidable consequences: the risk of undesirable genomic mutations and the irreversibility of the modifications. On the other hand, non-gene editing technologies do not directly alter the genetic information of the host cell, negating the risk of detrimental genetic alterations and opening the possibility of modulating the intensity of their effect, rather than being an on/off system.</p>
<sec id="s3_3_1">
<label>3.3.1</label>
<title>CRISPR activation (CRISPRa) and CRISPR inhibition/interference (CRISPRi)</title>
<p>Branching from the standard CRISPR/Cas9 gene editing approach, catalytically disabled Cas9 (dCas9) have been fused to transcriptional modulators. The dCas9 lacks its catalytic activity, but retains its sequence-specific binding ability, thus allowing the transcriptional modulators to alter the target gene expression at the epigenetic or transcriptional level, without the need of DSBs (<xref ref-type="bibr" rid="B169">169</xref>). This approach can be used to enhance or repress the transcription of the target gene. CRISPR activation (CRISPRa) exploits effectors such as VP64, VPR, Suntag, p300, and Synergistic activation mediator (SAM) to induce epigenetic changes, e.g. histone acetylation, that lead to enhanced gene expression (<xref ref-type="bibr" rid="B169">169</xref>, <xref ref-type="bibr" rid="B170">170</xref>). CRISPR inhibition/interference (CRISPRi) uses epigenetic regulators of DNA methylation, histone acetylation, or histone methylation, e.g. Kr&#xfc;ppel-associated box (KRAB), DNMT3A, and HDAC, to downregulate gene expression (<xref ref-type="bibr" rid="B169">169</xref>, <xref ref-type="bibr" rid="B170">170</xref>). Recently, a tool for programmable epigenetic memory based on DNA methylation, named CRISPRoff, has also been described, that can make such gene inhibition heritable (<xref ref-type="bibr" rid="B171">171</xref>). CRISPRa and CRISPRi have mainly been used in functional genomics screenings thus far. A genome-wide CRISPRi/CRISPRa screening in primary human T-cells was employed to identify therapeutically relevant T cell states which may prove useful in the design of novel T cell-based immunotherapies (<xref ref-type="bibr" rid="B172">172</xref>). Likewise, a CRISPRa gain-of-function screening in murine CAR T-cells highlighted proline metabolism as a driver of CAR T-cell fitness and function (<xref ref-type="bibr" rid="B173">173</xref>). Still, the first applications in cell engineering are already emerging, notably also in contexts such as iPSCs (<xref ref-type="bibr" rid="B170">170</xref>) and primary T-cells (<xref ref-type="bibr" rid="B172">172</xref>, <xref ref-type="bibr" rid="B174">174</xref>). Specifically, multiplex gene modulation of up to four genes (<italic>ITGA3</italic>, <italic>THY1</italic>, <italic>IL3RA</italic>, and <italic>NGFR</italic>) was achieved in human CD34+ hematopoietic stem and progenitor cells (HSPCs) and human CD3+ T-cells, without any discernible detrimental effects on the HSPCs capacity to engraft long-term in immunodeficient mice and on T-cell expansion (<xref ref-type="bibr" rid="B174">174</xref>). CRISPRa and CRISPRi have also been exploited to tweak primary T-cell responses, e.g. cytokine secretion, by impinging on their regulatory pathways (<xref ref-type="bibr" rid="B172">172</xref>). Interestingly, both the magnitude and the duration of the CRIPSRa/CRISPRi effect could be tuned by careful sgRNA selection, and further tuning may also be possible by adapting other sgRNA properties, such as the poly(A) tail length, codon usage, and incorporation of modified nucleotides (<xref ref-type="bibr" rid="B174">174</xref>). In terms of safety, several studies have found CRISPRa and CRISPRi to be highly specific (<xref ref-type="bibr" rid="B175">175</xref>&#x2013;<xref ref-type="bibr" rid="B177">177</xref>). In contrast to gene editing with nuclease-active Cas9, the combination with epigenetic effectors makes CRISPRa and CRISPRi only active within a short distance from the targeted transcription start sites. In addition, the extent of the potential adverse effects is mitigated by the reversible nature of the modifications and can be further reduced by temporally restraining the activity of the editors via their transient delivery as RNP complexes.</p>
</sec>
<sec id="s3_3_2">
<label>3.3.2</label>
<title>mRNA-targeting approaches: CRISPR/Cas13</title>
<p>A radically different approach for non-gene editing technologies consists in targeting the mRNA of the gene of interest, rather than its genomic sequence, thus inducing defined cellular phenotypes without introducing genomic alterations. In this light, the recent discovery of CRISPR/Cas13, a Cas-based system that uses CRISPR RNA guides to target RNA, spurred considerable interest (<xref ref-type="bibr" rid="B178">178</xref>, <xref ref-type="bibr" rid="B179">179</xref>). This Cas allows for direct transcriptome engineering via RNA editing and KD, without the requirement for permanent genetic manipulations (<xref ref-type="bibr" rid="B180">180</xref>&#x2013;<xref ref-type="bibr" rid="B182">182</xref>). In early reports CRISPR/Cas13 mediated potent and specific target RNA downregulation in eukaryotic cells, outperforming CRISPRi, apparently with minimal off-target transcriptome changes (<xref ref-type="bibr" rid="B178">178</xref>, <xref ref-type="bibr" rid="B180">180</xref>, <xref ref-type="bibr" rid="B183">183</xref>). The system has since been adapted for use in a variety of contexts, from yeast (<xref ref-type="bibr" rid="B184">184</xref>) to Drosophila (<xref ref-type="bibr" rid="B185">185</xref>) to mice (<xref ref-type="bibr" rid="B186">186</xref>&#x2013;<xref ref-type="bibr" rid="B189">189</xref>), and has been applied to neutralize viral infections in animal models (<xref ref-type="bibr" rid="B190">190</xref>, <xref ref-type="bibr" rid="B191">191</xref>). However, the high specificity of CRISPR/Cas13 in eukaryotic cells observed in early studies represents a paradox. Indeed, due to its molecular architecture, with the catalytic site located on the outside of the protein, facing away from the guide RNA-target RNA complex, Cas13 is prone to indiscriminately cleave any bystander RNA. This effect, termed collateral cleavage activity, has been observed both <italic>in vitro</italic> and in bacteria (<xref ref-type="bibr" rid="B192">192</xref>). Coherently, several recent publications report Cas13-mediated toxicity and collateral RNA cleavage in eukaryotes (reviewed in (<xref ref-type="bibr" rid="B192">192</xref>)), although the reason for the discrepancies with earlier studies is still matter of investigation.</p>
</sec>
<sec id="s3_3_3">
<label>3.3.3</label>
<title>mRNA-targeting approaches: RNA interference (RNAi)</title>
<p>A more established approach for transcriptional regulation, RNA interference (RNAi), has also been tweaked and adapted in the last few years for the engineering of CAR T-cells, with interesting results. RNAi is a bundle of technologies, namely small interfering RNAs (siRNAs), short hairpin RNAs (shRNAs), and microRNAs (miRNAs), all based on small non-coding RNAs that regulate gene expression post-transcriptionally. They do not require a direct intervention on the target&#x2019;s genomic sequence and thus they do not incur the risk of causing genomic alterations.</p>
<p>siRNAs are delivered in their mature, functionally active form, with no possibility to self-replenish the initial siRNA pool. Hence, siRNAs are not suitable for the development of engineered immune cells. Indeed, the rapid dilution of the siRNAs in the fast-dividing activated T cells makes this approach only applicable to obtain transient biological effect. On the other hand, shRNAs and miRNAs are continuously transcribed as precursors in the recipient cells, ensuring the long-term gene downregulation required for effective CAR T-cell engineering. shRNAs and miRNAs share the same molecular machinery for their maturation: following transcription, the immature hairpin structure is processed by RNase III enzymes (first Drosha, then DICER in the case of miRNAs, only DICER in the case of shRNAs), leading to the formation of a mature RNA duplex, which is in turn incorporated into the RNA-induced silencing complex (RISC). The accessory passenger RNA strand is then released and the RISC-guide strand riboprotein mediates target mRNA recognition and downregulation (<xref ref-type="bibr" rid="B193">193</xref>&#x2013;<xref ref-type="bibr" rid="B195">195</xref>). Two important differences exist in the biogenesis of shRNAs and miRNAs. First, shRNAs are transcribed by RNA polymerase III, whereas miRNAs are driven by RNA polymerase II. Hence, miRNAs are usually expressed at lower, more tolerable levels than shRNAs and can be easily embedded in polycistronic transcriptional units that facilitate CAR T-cell engineering (<xref ref-type="bibr" rid="B196">196</xref>). Second, in addition to the very high expression levels, shRNA bypass Drosha during their maturation process, possibly overloading the cytoplasm with double-stranded RNA which may obstruct the natural miRNA pathway and thus lead to toxicity (<xref ref-type="bibr" rid="B197">197</xref>, <xref ref-type="bibr" rid="B198">198</xref>). Synthetic miRNAs, in which the guide sequence has been swapped for an shRNA-based one directed against the gene of interest, can overcome this issue, as they still closely exploit the natural miRNA pathway (<xref ref-type="bibr" rid="B199">199</xref>), standing out as the most valid RNAi technology for immune cell engineering. Clinical validation of the miRNA-based RNAi approach in CAR T-cells has been obtained in two phase I clinical trials (NCT04613557, NCT03466320). These studies show both the functional efficiency and the high safety profile of the technology.</p>
<p>Beyond the aforementioned examples, RNAi has been used to engineer various features of CAR T-cells, with promising results in preclinical models, and some of these strategies are currently under evaluation in clinical trials (NCT06051695, NCT05617755, NCT06245915, NCT04649112, NCT04825496, NCT05028933). Notable applications are the downregulation of IFN&#x3b3; or GM-CSF to reduce the risk of cytokine release syndrome (<xref ref-type="bibr" rid="B200">200</xref>, <xref ref-type="bibr" rid="B201">201</xref>), the targeting of immune checkpoints to inhibit CAR T-cell exhaustion and enhance functionality (<xref ref-type="bibr" rid="B136">136</xref>, <xref ref-type="bibr" rid="B202">202</xref>), the silencing of factors, such as adenosine 2A receptor (A2aR), to improve resistance to the immunosuppressive tumor microenvironment in the context of solid tumors (<xref ref-type="bibr" rid="B203">203</xref>), and the simultaneous knock-down of TCR and HLA class I for the generation of allogeneic CAR T-cells (<xref ref-type="bibr" rid="B196">196</xref>). These applications elucidate one of the greatest advantages of RNAi over other engineering technologies, i.e. the possibility to modulate the expression of the target gene to levels compatible with its biology, reaching functionally relevant levels of inhibition without the detrimental effects that a full KO may cause.</p>
<p>Another valuable characteristic of miRNAs is their frequent co-occurrence within the same transcriptional unit within the genome. About 50% of conserved vertebrate miRNAs are organized in clusters (<xref ref-type="bibr" rid="B194">194</xref>, <xref ref-type="bibr" rid="B204">204</xref>), making them an ideal engineering strategy for multiplex applications. miRNA systems for multiple gene targeting have already been used successfully against HIV-1 and HCV (<xref ref-type="bibr" rid="B205">205</xref>&#x2013;<xref ref-type="bibr" rid="B207">207</xref>), although their clinical applicability in immune cell therapy has been hampered by the relatively weak knock-down efficiencies obtained thus far (<xref ref-type="bibr" rid="B208">208</xref>). More recently, however, miRNA-based multiplex platforms able to effectively target up to four genes have been proposed for the engineering of CAR T-cells (<xref ref-type="bibr" rid="B196">196</xref>, <xref ref-type="bibr" rid="B209">209</xref>) and optimized to reach efficiencies compatible with the use in clinical products (<xref ref-type="bibr" rid="B196">196</xref>). Overall, multiplex RNAi technologies allow for an&#xa0;easy, safe, efficient, and tunable modulation of several genes simultaneously.</p>
</sec>
</sec>
</sec>
<sec id="s4">
<label>4</label>
<title>Perspective: engineering a new generation of safer and more effective CAR T-cells</title>
<p>The CAR T-cell revolution gave hope to patients who did not have a valid therapeutic option. Still, for many indications, and especially for solid tumors, the current CAR T-cell design is not sufficient to succeed in these challenges, thus requiring further modifications. In the vast majority of novel CAR T-cell products, these are achieved via gene editing, mainly with CRISPR/Cas9. The mechanism of action of gene editing technologies is intrinsically at risk of creating undesired mutations and chromosomal aberrations in the modified cells, and preclinical data convincingly confirm that this is not a remote eventuality (<xref ref-type="bibr" rid="B141">141</xref>&#x2013;<xref ref-type="bibr" rid="B145">145</xref>). While clinical trials are not yet conclusive regarding genotoxicity due to gene editing, several factors need to be considered. Indeed, the CRISPR technology is still relatively young and only recently moved into clinics, with the consequence that the amount of clinical data and the follow-up time do not yet allow for an in-depth estimate of its safety profile in patients. Moreover, in many gene-edited products, CRISPR technology is used for the generation of allogeneic CAR T-cells, whose persistence is still limited compared to their autologous counterparts. The rise of harmful CAR T-cell clones may therefore be counteracted by their fast <italic>in vivo</italic> clearance.</p>
<p>While the genotoxicity risk is still hypothetical in the case of gene editing, secondary tumors correlated to the transgene delivery system have been observed, both for viral vectors and for transposons. As these two strategies cover the manufacturing of the vast majority of CAR T-cells at preclinical and clinical level, a systematic, albeit low, risk of genotoxicity is virtually present in all CAR T-cell products. Gene editing adds a further layer of complexity to the picture, as future products will be burdened by the combined hazard coming from both the gene delivery system and the engineering technology. Mitigation measures will therefore become crucial for the future of immune cell therapies: reinforced long-term surveillance for secondary tumors will likely be a requirement, while alternative, safer technologies, such as base and prime editing, will need to be promptly ameliorated for broader clinical applicability. Overall, the investments aimed at improving the safety of CAR T-cell products will be as important as the ones concerning efficacy and persistence. Currently, the best compromise between manufacturability, efficacy and safety may be represented by the combination of lentiviral-based vectors and more established non-gene editing technologies such as RNAi. Non-gene edited technologies also present the added value of allowing the modulation of gene expression, a characteristic of great relevance when targeting genes that impinge on delicate biological equilibriums, such as activation/exhaustion and cell metabolism, and whose complete ablation would be detrimental.</p>
<p>
<italic>In vivo</italic> technologies look especially promising, as their application can be envisioned beyond the mere deployment of the CAR components. Both viral and non-viral vectors are being actively tested for <italic>in vivo</italic> CRISPR delivery and editing (<xref ref-type="bibr" rid="B210">210</xref>&#x2013;<xref ref-type="bibr" rid="B212">212</xref>), for oncological as well as for gene therapy applications. Even more interestingly, <italic>in vivo</italic> targeting can be envisioned for the modification of other components of TME (<xref ref-type="bibr" rid="B213">213</xref>), such as macrophages, regulatory cells and the cancer cells themselves, thus manipulating the cytokine, immune checkpoints and metabolite milieu. Several areas of intervention could be envisioned (reviewed in (<xref ref-type="bibr" rid="B3">3</xref>)). CAR T-cell penetration into the tumor could be enhanced by acting on the tumor vasculature or on cancer associated fibroblasts (CAFs), or locally expressing matrix-degrading enzymes. CAR T-cell functionality could be better preserved by acting on immunosuppressive immune cells in the TME (T<sub>regs</sub>, tumor-associated fibroblasts, myeloid-derived suppressor cells), on immunosuppressive soluble factors (such as TGF-&#x3b2; and IL-4), or on inhibitory receptors and ligands expressed by tumor or stromal cells (such as immune checkpoint ligands). Such a combinatorial approach may create a more permissive environment for CAR T-cells to operate, granting unprecedented possibilities of success for unmet medical needs. An interesting novel way by which the safety of CAR T-cell therapy could be enhanced involves the use of CAR T-cell-derived Extracellular Vesicles (EVs). Expression of the CAR on the EV surface renders the EVs responsive to the CAR antigen, and incorporation of perforin and granzyme B in the EV cargo leads to lysis of the target cell. As EVs do not proliferate and have a limited life span, they hold several advantages in terms of safety. First, they do not pose the risk of secondary cancers development. Second, the potential CAR T-cell related toxicity is significantly reduced, as the lack of proliferation means a reduction in both CRS and ICANS (<xref ref-type="bibr" rid="B214">214</xref>). Third, CAR T-cell derived EVs have a relative low immunogenicity in heterologous infusions, and may easily cross the tumor barrier, as observed by tumor-derived EVs in both body fluids (<xref ref-type="bibr" rid="B215">215</xref>, <xref ref-type="bibr" rid="B216">216</xref>) and tumors that are characterized by strong fibrotic reaction (<xref ref-type="bibr" rid="B217">217</xref>). Preclinical studies using anti-EGFR and HER-2 CAR T-cell-derived EVs demonstrated no toxicity combined with a high efficacy in HER+ and EGFR+ xenograft mouse models. Moreover, CAR T-cell-derived EVs were insensitive to PD-L1 immunosuppression, suggesting an interesting approach to avoid immune suppression induced by immune checkpoints (<xref ref-type="bibr" rid="B214">214</xref>). A similar study conducted with mesothelin-targeted CAR-T derived EVs showed comparable results with no signs of CRS combined with high efficacy (<xref ref-type="bibr" rid="B218">218</xref>). However, despite their favorable safety profile, the potency of CAR T-cell-derived EVs has yet to be assessed properly in the clinical setting, as well as their clinical-grade manufacturability.</p>
<p>Following the brilliant results obtained by anti CD19 CAR T-cells in autoimmune diseases (<xref ref-type="bibr" rid="B39">39</xref>, <xref ref-type="bibr" rid="B42">42</xref>, <xref ref-type="bibr" rid="B219">219</xref>), the immune cell therapy field is rapidly expanding to non-oncological indications. This welcome advancement, however, brings forward outstanding safety considerations. Indeed, if the current rate of CAR T-cell-derived secondary malignancies may still be within a favorable risk-to-benefit ratio for oncological patients, it would be unacceptable for individuals that have alternative treatments and do not suffer from life-threatening diseases. In this light, manufacturing and engineering technologies that showed limitations in cancer therapy could represent a valid, equally effective but safer alternative in other indications. The low persistence of current allogeneic CAR T-cell therapies does not ensure proper long-term tumor management but may turn into a favorable characteristic to minimize the risk of secondary lymphomas in autoimmune patients. Likewise, manufacturing strategies based on transient CAR expression and <italic>in vivo</italic>-generated CAR T-cells may express all their potential in indications other than oncology. A longer follow-up on a wider cohort of patients will indicate whether an acute treatment with shortly persisting CAR T-cells will be sufficient to lead to durable responses against autoimmune diseases.</p>
<p>For the next future, it is therefore conceivable that different indications will benefit of different CAR T-cell designs, manufacturing, and engineering strategies. Autologous, allogeneic, and <italic>in vivo</italic>-generated CAR T-cells will likely coexist in the immune cell therapy toolbox and their employment against different diseases will be tailored on their characteristics and strengths.</p>
</sec>
<sec id="s5" sec-type="author-contributions">
<title>Author contributions</title>
<p>MR: Writing &#x2013; original draft, Writing &#x2013; review &amp; editing. EB: Writing &#x2013; original draft, Writing &#x2013; review &amp; editing.</p>
</sec>
</body>
<back>
<sec id="s6" sec-type="funding-information">
<title>Funding</title>
<p>The author(s) declare that no financial support was received for the research, authorship, and/or publication of this article.</p>
</sec>
<sec id="s7" sec-type="COI-statement">
<title>Conflict of interest</title>
<p>All authors involved in the manuscript were employees of Celyad Oncology SA at the time of writing the manuscript.</p>
</sec>
<sec id="s8" sec-type="disclaimer">
<title>Publisher&#x2019;s note</title>
<p>All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.</p>
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