Precision medicine stands at the forefront of contemporary oncology, striving to personalize treatment and diagnosis by leveraging molecular insights into disease susceptibility. Recent advancements in single-cell and spatial transcriptomics have revolutionized our understanding of intratumoral diversity, lineage dynamics, and interactions at a cellular microenvironment level—key insights that bulk profiling techniques may overlook. These technologies have unveiled how metabolic reprogramming within solid cancers interacts with immune suppression and stromal modifications, profoundly influencing tumor progression, immune evasion, and treatment resistance. By integrating multi-omic data with cellular and spatial precision, researchers are crafting actionable strategies for patient categorization and target identification, crucial elements in the commitment of precision medicine to enhance diagnostic and therapeutic outcomes.
This Research Topic aims to gather a multidisciplinary collection of pioneering studies that not only map cellular states and interactions influencing solid tumor dynamics through single-cell and spatial omics but also link metabolic alterations to immune characteristics and environmental niches. We aim to further translate these findings into precision diagnostics, strategies for patient stratification, and mechanism-driven therapies. Especially sought are contributions that effectively bridge the gap between fundamental discoveries and clinical applications, such as spatially anchored biomarkers which predict therapeutic response, single-cell monitoring of minimal residual disease, or novel strategies that reprogram the tumor–immune landscape. The collection is designed to illustrate how spatially definitive, cell-resolved data can substantially refine decision-making tailored to individuals, aligning with precision medicine goals.
To gather further insights within these boundaries, we welcome articles addressing, but not limited to, the following themes: o Single-cell and spatial transcriptomics with multi-omic integration for personalized profiling o Tumor–immune–stroma interactions guiding precisized therapy o Evolutionary and clonal dynamics relevant to personalized intervention o AI/ML approaches for patient-specific analysis of spatial omics data o Development and validation of clinically relevant biomarkers in solid tumors
This Research Topic accepts a diverse range of articles including Brief Research Reports, Case Reports, Clinical Trials, Editorials, General Commentaries, Hypotheses and Theories, Methods, Mini Reviews, Opinions, Original Research, Perspectives, and Systematic Reviews. Topics of focus include single-cell/spatial transcriptomics, tumor-immune interactions, and the use of AI/ML in precision medicine. Submissions must also adhere to guidelines that emphasize diagnostic, prognostic, or therapeutic impact and promote data transparency and reproducibility. We encourage the deposition of data and code for reuse, with clear statements on advancements in precision oncology included in cover letters.
Article types and fees
This Research Topic accepts the following article types, unless otherwise specified in the Research Topic description:
Brief Research Report
Case Report
Classification
Clinical Trial
Editorial
FAIR² Data
General Commentary
Hypothesis and Theory
Methods
Articles that are accepted for publication by our external editors following rigorous peer review incur a publishing fee charged to Authors, institutions, or funders.
Article types
This Research Topic accepts the following article types, unless otherwise specified in the Research Topic description:
Important note: All contributions to this Research Topic must be within the scope of the section and journal to which they are submitted, as defined in their mission statements. Frontiers reserves the right to guide an out-of-scope manuscript to a more suitable section or journal at any stage of peer review.
