Tumor-infiltrated double-negative regulatory T cells predict outcome of T cell-based immunotherapy in nasopharyngeal carcinoma
Adoptive cell therapy (ACT) using tumor-infiltrating lymphocytes (TILs) has demonstrated clinical success in solid tumors. We analyze 47 TIL infusion products and 62 pretreatment tumor microenvironments (TMEs) from a randomized phase 2 clinical study of concurrent chemoradiotherapy plus TIL-ACT (NCT02421640). Using single-cell and bulk RNA sequencing along with flow cytometry, we identify 14 CD3<sup>+</sup> T cell clusters within 26 TIL infusion products: 11 CD3<sup>+</sup>CD8<sup>+</sup> TILs, 2 CD3<sup>+</sup>CD4<sup>+</sup> TILs, and 1 CD3<sup>+</sup>CD8<sup>-</sup>CD4<sup>-</sup> double-negative (DN) TIL. (DN) TILs, significantly associated with poor TIL-ACT outcomes, exhibit an activated regulatory T cell-like phenotype and include two CD56<sup>+</sup> and four CD56<sup>-</sup> subsets. Among them, CD56<sup>-</sup>KZF2<sup>+</sup> (DN) TILs are predominantly suppressive. (DN) TILs inhibit CD8<sup>+</sup> TIL expansion via Fas-FasL, transforming growth factor β (TGF-β), and interleukin (IL)-10 signaling. Distinct CD8<sup>+</sup> T subsets differentially impact on TIL-ACT outcomes, while 9 baseline TME gene signatures and 14 intracellular T cell genes hold prognostic value. Our findings identify predictive TIL subsets and biomarkers for TIL-ACT outcomes.
Authors
- Jianhui Yue (ORCID: https://orcid.org/0000-0003-2370-4601)
- Ya-Zhen Qin
- Jiang Li (ORCID: https://orcid.org/0000-0001-5596-9159)
- Qian Zhu (ORCID: https://orcid.org/0000-0002-1203-3278)
- Xiufeng Liu (ORCID: https://orcid.org/0000-0002-3315-8571)
- Jia He
- Changbin Sun (ORCID: https://orcid.org/0000-0002-7960-4944)
- Bin Song (ORCID: https://orcid.org/0000-0002-9528-3837)
- Yu-Jing Liang
- Qiuyan Chen (ORCID: https://orcid.org/0000-0001-9637-4995)
- Hai‐Qiang Mai
- Xiansheng Zeng
- Xi Zhang (ORCID: https://orcid.org/0009-0007-1790-5884)
Institutions
- BGI Group (China) (CN)
- Sun Yat-sen University (CN)
- Agricultural Genomics Institute at Shenzhen (CN)
- Sun Yat-sen University Cancer Center (CN)
- University of Chinese Academy of Sciences (CN)
Publication Details
- Journal
- Cell Reports Medicine
- Published
- 2025-05-01
- DOI
- https://doi.org/10.1016/j.xcrm.2025.102096
- Citations
- 5
- Primary Topic
- Cancer Immunotherapy and Biomarkers
- Type
- article
- Field-Weighted Citation Impact
- 5.23