GEO series
Single-cell clonal lineage tracing identifies the transcriptional program controlling the cell fate decisions by neoantigen-specific CD8+ T cells
GSE290142
Mus musculus
Expression profiling by high throughput sequencing; Other
12 samples
2025/10/06
GPL24247
Summary
Neoantigen-specific T cells specifically recognize tumor cells and are critical for cancer immunotherapies. However, the transcriptional program controlling the cell fate decisions by neoantigen-specific T cells is incompletely understood. Here, using joint single-cell transcriptome and TCR profiling, we mapped the clonal expansion and differentiation of neoantigen-specific CD8+ T cells in the tumor and draining lymph node in mouse prostate cancer. Compared to other antitumor CD8+ T cells and bystanders, neoantigen-specific CD8+ tumor-infiltrating T cells (TILs) upregulated gene signatures of T cell activation and exhaustion. In the tumor draining lymph node, we identified TCF1+TOX- TSCM, TCF1+TOX+ TPEX, and TCF1-TOX+ effector-like TEX subsets among neoantigen-specific CD8+ T cells. Clonal tracing analysis of neoantigen-specific CD8+ T cells revealed greater clonal expansion in divergent clones and less expansion in clones biased towards TEX, TPEX, or TSCM. The TPEX subset had greater clonal diversity and likely represented the root of neoantigen-specific CD8+ T cell differentiation, whereas highly clonally expanded effector-like TEX cells were positioned at the branch point where neoantigen-specific clones exited the lymph node and differentiated into TEX TILs. Notably, TSCM differentiation of neoantigen-specific CD8+ clones in the lymph node negatively correlated with exhaustion and clonal expansion of the same clones in the tumor. In addition, the gene signature of neoantigen-specific clones biased toward tumor infiltration relative to lymph node residence predicted a poorer response to immune checkpoint inhibitor. Together, we identified the transcriptional program that controls the cell fate choices by neoantigen-specific CD8+ T cells and correlates with clinical outcomes in cancer patients.
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