Tumor-reactive TCRs within exhausted TILs reveal cancer type-specific immune landscapes in renal cell carcinoma.

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作者:Komahashi Mitsuru, Horaguchi Shun, Tsuji Kayoko, Hoshino Daisuke, Kishida Takeshi, Usui Kimitsugu, Nakaigawa Noboru, Sato Shinya, Hamana Hiroshi, Kishi Hiroyuki, Wei Feifei, Mano Yasunobu, Kouro Taku, Uehara Shuichiro, Sasada Tetsuro
Clear cell renal cell carcinoma (ccRCC) presents a unique immunological paradox: abundant CD8(+) tumor-infiltrating lymphocytes (TILs) correlate with poor prognosis. To clarify their functional status and therapeutic potential, we performed single-cell transcriptomic profiling of TILs from 15 patients with ccRCC and functionally validated dominant T cell receptor (TCR) clonotypes using autologous tumor-derived organoids. Single-cell RNA sequencing revealed dynamic shifts in T cell composition, with effector and progenitor-exhausted CD8(+) T cells declining and terminally exhausted CD8(+) and regulatory CD4(+) T cells enriched in advanced tumors. Despite this exhausted phenotype, in an exploratory analysis with five patients, approximately half of the top 20 TCR clonotypes retained anti-tumor reactivity when re-expressed in non-exhausted T cells, as evidenced by TCR-T cell-mediated cytotoxicity and IFN-γ production against autologous organoids. Transcriptomic signatures enabled the development of a penalized logistic regression classifier that distinguished tumor-reactive from bystander T cells with high accuracy, with AUCs of 0.903 (training) and 0.913 (test). Cross-cancer comparison with pancreatic ductal adenocarcinoma (PDAC) datasets revealed limited generalizability, highlighting the need for cancer type-specific models. Notably, ccRCC-specific TILs exhibited mature, functionally differentiated profiles with limited proliferation, consistent with chronic antigen exposure, whereas PDAC-reactive TILs showed highly proliferative and activated phenotypes indicative of ongoing clonal expansion. Collectively, these findings suggest key features of the immune landscape in ccRCC and provide a preliminary, proof-of-concept transcriptomic framework for prioritizing candidate tumor-reactive TCRs. These insights suggest the feasibility of identifying candidate TCRs for future development of TCR-based adoptive T cell therapies in ccRCC and emphasize the importance of integrating single-cell profiling with functional analyses to refine immunotherapeutic strategies. Given the limited sample size, our results should be considered exploratory and hypothesis-generating, and future studies will be required to validate these findings in larger, independent ccRCC cohorts.

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