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. 2024 Sep 4;12(9):e009376.
doi: 10.1136/jitc-2024-009376.

scRNA+ TCR-seq revealed dual TCR T cells antitumor response in the TME of NSCLC

Affiliations

scRNA+ TCR-seq revealed dual TCR T cells antitumor response in the TME of NSCLC

Qi Peng et al. J Immunother Cancer. .

Abstract

The intricate origins, subsets, and characteristics of TCR (T Cell Receptor) s, along with the mechanisms underpinning the antitumor response of tumor-infiltrating T lymphocytes within the tumor microenvironment (TME) remain enigmatic. Recently, the advent of single-cell RNA+TCR-sequencing (scRNA+TCR seq) has revolutionized TME analysis, providing unprecedented insight into the origins, cell subsets, TCR CDR3 compositions, and the expression patterns of response/depletion factors within individual tumor-infiltrating T lymphocytes. Our analysis of the shared scRNA+TCR seq dataset revealed a substantial presence of dual TCR T cells, characterized by clonal hyperplasia and remarkable migratory prowess across various tissues, including blood, normal, peritumoral, and tumor tissues in non-small cell lung cancer patients. Notably, dual TCR CD8+T cells predominantly fell within the CXCL13+subset, displaying potent antitumor activity and a strong preference for tumor tissue residency. Conversely, dual TCR CD4+T cells were predominantly classified as CD5+ or LMNA+subsets, exhibiting a more even distribution across diverse tissue types. By harnessing scRNA+TCR seq and other cutting-edge technologies, we can delve deeper into the effects and mechanisms that regulate the antitumor response or tolerance of dual TCR T cells. This innovative approach holds immense promise in offering fresh perspectives and avenues for advancing research on TIL (Tumor infiltrating lymphocyte)s within the TME.

Keywords: Lung Cancer; T cell Receptor - TCR; Tumor infiltrating lymphocyte - TIL; Tumor microenvironment - TME.

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Conflict of interest statement

Competing interests: No, there are no competing interests.

Figures

Figure 1
Figure 1. Single-cell RNA+TCR-sequencing (scRNA+TCR seq) revealed dual TCR T cells antitumor response in the TME of NSCLC. (A) Dual TCR CD4+T and dual TCR CD8+T ratios in blood, normal, peri, and tumor tissue of each patient. (B) Dual TCR CD4+T CDR3 overlap and dual TCR CD8+T CDR3 overlap in blood, normal, peri, tumor tissue of each patient. (C) TRAV, TRAJ, TRBV, TRBJ usage of single TCR T cells and dual TCR T cells. (D) Dual TCR T cells accounted for the proportion of total dual TCR T cells in blood, normal, peri, and tumor tissue. (E) Ratios of dual TCR CD4+T and dual TCR CD8+T in each subset. (F) Single TCR T and dual TCR T diversity (1/DS). (G) Single TCR T cells and dual TCR T cells clonality (clone count:2–5, 6–9,≥10). (Original clones proliferating to cell numbe r≥2 in online supplemental table 2), including ‘single TCR T cell+dual TCR T cell’ ≥2 clones. For instance, P1_TCR_286 clone type (5 cells) in CD4+T cells in online supplemental table 2)=single TCR CD4+T (1 cell)+dual TCR CD4+T (4 cells), but in our analysis, single TCR and dual TCR were separated for comparative analysis. Therefore, single TCR or dual TCR T with cell number 1 was not analyzed in clonal amplification analysis.) (H) Number, sequence composition, source patient and tissue, and subsets of dual TCR CD4+T and dual TCR CD8+T from the top five high-frequency clones. TCR, T Cell Receptor; TRAV, T cell receptor alpha chain Variable gene; TRAJ, T cell receptor alpha chain Jointing gene; TRBV, T cell receptor beta chain Variable gene; TRBJ, T cell receptor beta chain Jointing gene; NSCLC, non-small cell lung cancer; TME, tumor microenvironment.

References

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