LIMD2 is associated with an exhausted CD8⁺ T cell state linked to ICI response in clear cell renal cell carcinoma

Clear cell renal cell carcinoma (ccRCC) is characterized by abundant infiltration of CD8⁺ T cells; however, the clinical benefit from immune checkpoint inhibitors (ICI) remains limited. To clarify this paradox, we systematically investigated the functional states of CD8⁺ T cells in ccRCC, with a particular focus on exhaustion-associated subsets and their potential link to ICI responsiveness. By integrating six publicly available bulk and single-cell RNA sequencing datasets with independent institutional validation cohorts, we found that the majority of tumor-infiltrating CD8⁺ T cells exhibited an exhausted phenotype, characterized by elevated expression of canonical exhaustion markers. Importantly, we identified CD8⁺ T cells with high LIM domain-containing protein 2 (LIMD2) expression that co-express canonical exhaustion markers and are enriched in ICI responders. Single-cell transcriptomic analyses further supported markedly increased LIMD2 expression within CD8⁺ Tex cells from patients achieving clinical benefit. Multiplex immunofluorescence showed LIMD2 protein predominantly localized to CD8A⁺ T cells, co-expressed with exhaustion markers, and significantly enriched in tumor tissues of responders. Collectively, these findings indicate that CD8⁺ Tex cells with high LIMD2 expression are associated with ICI responses in ccRCC, positioning LIMD2 as a candidate predictive biomarker to refine patient stratification and inform immunotherapy optimization.

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Publication Details

Journal
Scientific Reports
Published
2025-12-04
DOI
https://doi.org/10.1038/s41598-025-27315-z
Primary Topic
Cancer Immunotherapy and Biomarkers
Type
article
Field-Weighted Citation Impact
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article

LIMD2 is associated with an exhausted CD8⁺ T cell state linked to ICI response in clear cell renal cell carcinoma

Xing Bi, Shuai Yuan, Xiaolong Xiang, Junfeng Zhang et al.
Scientific Reports
Cancer Immunotherapy and Biomarkers
article

LIMD2 is associated with an exhausted CD8⁺ T cell state linked to ICI response in clear cell renal cell carcinoma

Xing Bi, Shuai Yuan, Xiaolong Xiang, Junfeng Zhang, Kong M. Li, Qingyan Peng, Xiangdong Jiang, Fuzhong Liu, Ting Pan, Peng Chen, Chen Su, Hongwei Nie
article en

Abstract

Clear cell renal cell carcinoma (ccRCC) is characterized by abundant infiltration of CD8⁺ T cells; however, the clinical benefit from immune checkpoint inhibitors (ICI) remains limited. To clarify this paradox, we systematically investigated the functional states of CD8⁺ T cells in ccRCC, with a particular focus on exhaustion-associated subsets and their potential link to ICI responsiveness. By integrating six publicly available bulk and single-cell RNA sequencing datasets with independent institutional validation cohorts, we found that the majority of tumor-infiltrating CD8⁺ T cells exhibited an exhausted phenotype, characterized by elevated expression of canonical exhaustion markers. Importantly, we identified CD8⁺ T cells with high LIM domain-containing protein 2 (LIMD2) expression that co-express canonical exhaustion markers and are enriched in ICI responders. Single-cell transcriptomic analyses further supported markedly increased LIMD2 expression within CD8⁺ Tex cells from patients achieving clinical benefit. Multiplex immunofluorescence showed LIMD2 protein predominantly localized to CD8A⁺ T cells, co-expressed with exhaustion markers, and significantly enriched in tumor tissues of responders. Collectively, these findings indicate that CD8⁺ Tex cells with high LIMD2 expression are associated with ICI responses in ccRCC, positioning LIMD2 as a candidate predictive biomarker to refine patient stratification and inform immunotherapy optimization.

Scientific ReportsVol. 15(1)
Xinjiang Medical University (CN), Tumor Hospital of Xinjiang Medical University (CN), The Central Hospital of Enshi Tujia and Miao Autonomous Prefecture (CN)
National Natural Science Foundation of China, Natural Science Foundation of Xinjiang
Openalex Percentile: Top 47%
Cancer Immunotherapy and Biomarkers
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