A Commentary on
Immunogenomic characteristics and prognostic implications of terminally exhausted CD8+ T cells in colorectal cancers
Lee J-A, Park HE, Lee D-W, Han S-W, Kim T-Y, Jeong S-Y, Park KJ, Bae JM and Kang GH (2025) Front. Immunol. 16:1601188. doi: 10.3389/fimmu.2025.1601188
1 Introduction
The study by Lee et al. addresses a timely question: how T-cell exhaustion heterogeneity influences CRC outcomes, a heterogeneity now recognized to involve distinct functional subsets defined by co-inhibitory receptor combinations (1).”. Ttex (TCF1-PD1+CD8+) and progenitor exhausted T cells (Tpex) were quantified via mIF in tissue microarrays (TMAs), integrated with genomic data (MSI/TMB; 40-gene panel). The discovery that Ttex enrichment predicts survival in oxaliplatin-treated patients is compelling, yet three key issues merit deeper scrutiny: sample representativeness, technical validation gaps, and mechanistic ambiguity.
2 Methodological and translational challenges
2.1 Spatial biology and sample bias
The TMA design—two 1-mm cores each from tumor center (TC) and invasive margin (IM)—risks underrepresenting spatial heterogeneity. Tertiary lymphoid structures (TLS), critical niches for Tpex, were excluded, potentially skewing exhaustion subset distributions. This approach directly contradicts spatial analyses demonstrating TLS as critical reservoirs for Tpex (2, 3).”While IM CD8+ density showed weak correlation between TMA and whole-slide imaging (WSI; ρ=0.34), TC correlations were stronger (ρ=0.60). This inconsistency questions TMA’s reliability for spatial immune mapping. Future studies should prioritize WSI-based mIF to capture TLS dynamics.
2.2 Phenotypic oversimplification
Ttex was defined solely as TCF1-PD1+CD8+, overlooking co-inhibitory receptors (e.g., TIM-3, LAG-3) that define terminal exhaustion. Recent single-cell studies (1, 4) show Ttex can retain cytotoxic function if specific receptor combinations are present. Recent single-cell evidence confirms that Ttex with specific receptor profiles (e.g., PD-1+TCF1-TIM-3-) retain cytotoxic function (1), while those co-expressing ≥3 inhibitors exhibit true terminal exhaustion. Incorporating ≥3 exhaustion markers would clarify whether “prognostic” Ttex subsets exhibit functional resilience. Specifically, Lee et al.’s own data (Lee et al.’s Figure 4) shows worse survival in ‘Teff-high’ groups, implying that cytotoxic potential alone cannot explain prognosis—reinforcing the need for multi-receptor phenotyping.
2.3 Mechanistic disconnect
The link between Ttex and oxaliplatin response remains correlative. Oxaliplatin induces immunogenic cell death (ICD), potentially activating Ttex. However, no functional assays (e.g., IFN-γ secretion or tumor-killing capacity) support this. Oxaliplatin-induced immunogenic cell death (ICD) is known to activate T-cell responses via HMGB1 release (5), yet Ttex functionality under ICD remains unproven. Validating Ttex functionality in ICD models (e.g., CRC organoids co-cultured with Ttex) is essential. Three mechanistic gaps persist: (i) No correlation between Ttex density and ICD biomarkers (e.g., HMGB1/ATP). (ii) Absence of Ttex functional data post-oxaliplatin exposure (6). (iii) Paradoxical survival benefit in CD8-low/Ttex-high tumors despite presumed dysfunction.
3 Discussion
Lee et al. provide foundational evidence that Ttex may refine CRC prognostication, but translating this into clinical utility requires three synergistic advances: spatially resolved whole-slide mIF must replace TMAs to incorporate tertiary lymphoid structures and ensure reliable invasive margin analysis, multi-parametric exhaustion signatures integrating ≥3 markers (e.g., PD-1+TCF1−TIM-3+) should be deployed via hyperplexed platforms like CODEX to distinguish functional subsets, and Ttex responsiveness must be functionally interrogated in immunogenic cell death models with/without anti-PD-1 to identify therapeutic synergies—particularly as the prognostic value of Ttex in CD8-low tumors holds revolutionary potential for adjuvant stratification, making validation in biomarker-driven trials such as FOxTROT with serial pre/post-chemotherapy mapping a critical next step.
Author contributions
WW: Conceptualization, Data curation, Formal Analysis, Funding acquisition, Investigation, Methodology, Project administration, Resources, Software, Supervision, Validation, Visualization, Writing – original draft, Writing – review & editing. YL: Conceptualization, Data curation, Formal Analysis, Funding acquisition, Investigation, Methodology, Project administration, Resources, Software, Supervision, Validation, Visualization, Writing – original draft, Writing – review & editing. PY: Conceptualization, Data curation, Formal Analysis, Funding acquisition, Investigation, Methodology, Project administration, Resources, Software, Supervision, Validation, Visualization, Writing – review & editing. LY: Conceptualization, Data curation, Formal Analysis, Funding acquisition, Investigation, Methodology, Project administration, Resources, Software, Supervision, Validation, Visualization, Writing – review & editing.
Funding
The author(s) declare that no financial support was received for the research and/or publication of this article.
Conflict of interest
The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.
Generative AI statement
The author(s) declare that no Generative AI was used in the creation of this manuscript.
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References
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3. Im SJ, Obeng RC, Nasti TH, McManus D, Kamphorst AO, and Gunisetty S. Characteristics of PD-1+TCF1+ CD8 T cells in cancer. Proc Natl Acad Sci U.S.A. (2023) 120:e2221985120. doi: 10.1073/pnas.2221985120
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Keywords: CRC (colorectal cancer), CD8+T cell exhaustion, spatial biology, sample bias, ICD (immunogenic cell death)
Citation: Wu W, Liu Y, Yu P and Yu L (2025) Commentary: Immunogenomic characteristics and prognostic implications of terminally exhausted CD8+ T cells in colorectal cancers. Front. Immunol. 16:1654000. doi: 10.3389/fimmu.2025.1654000
Received: 25 June 2025; Accepted: 28 July 2025;
Published: 13 August 2025.
Edited by:
Tonya J Webb, University of Maryland, United StatesReviewed by:
Mesut Yigit, My Gene and Cell Therapies Biotechnology, TürkiyeCopyright © 2025 Wu, Liu, Yu and Yu. 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.
*Correspondence: Peishan Yu, bWVnYW5wZWlzaGFuQDE2My5jb20=; Linchong Yu, c3RlZmFuaWV5Y0AxNjMuY29t
†These authors have contributed equally to this work