Unravelling infiltrating T‐cell heterogeneity in kidney renal clear cell carcinoma: Integrative single‐cell and spatial transcriptomic profiling

Author:

Chen Haiqing12,Zuo Haoyuan13,Huang Jinbang2,Liu Jie14,Jiang Lai2,Jiang Chenglu2,Zhang Shengke2,Hu Qingwen2,Lai Haotian2,Yin Bangchao5,Yang Guanhu6,Mai Gang13,Li Bo1,Chi Hao2ORCID

Affiliation:

1. Department of General Surgery (Hepatopancreatobiliary Surgery), The Affiliated Hospital Southwest Medical University Luzhou China

2. School of Clinical Medicine, The Affiliated Hospital Southwest Medical University Luzhou China

3. Department of General Surgery (Hepatopancreatobiliary Surgery) Deyang People's Hospital Deyang China

4. Department of General Surgery Dazhou Central Hospital Dazhou China

5. Department of Pathology Sixth People's Hospital of Yibin Yibin China

6. Department of Specialty Medicine Ohio University Athens Ohio USA

Abstract

AbstractKidney renal clear cell carcinoma (KIRC) pathogenesis intricately involves immune system dynamics, particularly the role of T cells within the tumour microenvironment. Through a multifaceted approach encompassing single‐cell RNA sequencing, spatial transcriptome analysis and bulk transcriptome profiling, we systematically explored the contribution of infiltrating T cells to KIRC heterogeneity. Employing high‐density weighted gene co‐expression network analysis (hdWGCNA), module scoring and machine learning, we identified a distinct signature of infiltrating T cell‐associated genes (ITSGs). Spatial transcriptomic data were analysed using robust cell type decomposition (RCTD) to uncover spatial interactions. Further analyses included enrichment assessments, immune infiltration evaluations and drug susceptibility predictions. Experimental validation involved PCR experiments, CCK‐8 assays, plate cloning assays, wound‐healing assays and Transwell assays. Six subpopulations of infiltrating and proliferating T cells were identified in KIRC, with notable dynamics observed in mid‐ to late‐stage disease progression. Spatial analysis revealed significant correlations between T cells and epithelial cells across varying distances within the tumour microenvironment. The ITSG‐based prognostic model demonstrated robust predictive capabilities, implicating these genes in immune modulation and metabolic pathways and offering prognostic insights into drug sensitivity for 12 KIRC treatment agents. Experimental validation underscored the functional relevance of PPIB in KIRC cell proliferation, invasion and migration. Our study comprehensively characterizes infiltrating T‐cell heterogeneity in KIRC using single‐cell RNA sequencing and spatial transcriptome data. The stable prognostic model based on ITSGs unveils infiltrating T cells' prognostic potential, shedding light on the immune microenvironment and offering avenues for personalized treatment and immunotherapy.

Publisher

Wiley

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