ArticleJournal of cellular and molecular medicine2024
Unravelling infiltrating T-cell heterogeneity in kidney renal clear cell carcinoma: Integrative single-cell and spatial transcriptomic profiling.
Article in Journal of cellular and molecular medicine, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.
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Who cites it
24 citing papers in PubMed.
- TTK Overexpression as a Prognostic Indicator and Immune Modulator in Kidney Renal Clear Cell Carcinoma.Molecular carcinogenesis · 2026Article
- A comprehensive analysis of ferroptosis-related metastasis genes in osteosarcoma.Discover oncology · 2026Article
- Decoding the tumor immune landscape: emerging TIL subsets as prognostic biomarkers and therapeutic targets.Naunyn-Schmiedeberg's archives of pharmacology · 2026Review
- Metabolic Alterations in Macrophage Subtypes Propel Immune and Stromal Remodeling in Neurofibroma's Malignant Progression.MedComm · 2026Article
- DIAPH3 is a multifaceted prognostic biomarker that links immunotherapy response to tumor microenvironment in prostate cancer.Discover oncology · 2026Article
- Pan-cancer multi-omics analysis reveals IQCE as a malignant cell-restricted oncogenic biomarker driving immunosuppression and chemoresistance in cutaneous melanoma.Discover oncology · 2025Article
- LRP11 as a potential predictor of poor prognosis and immune suppression in lung adenocarcinoma.Discover oncology · 2025Article
- Unraveling the significance of cuproptosis in hepatocellular carcinoma heterogeneity and tumor microenvironment through integrated single-cell sequencing and machine learning approaches.Discover oncology · 2025Article
- ATP6AP1 drives pyroptosis-mediated immune evasion in hepatocellular carcinoma: a machine learning-guided therapeutic target.Discover oncology · 2025Article
- Elucidating stearoyl metabolism and NCOA4-mediated ferroptosis in gastric cancer liver metastasis through multi-omics single-cell integrative mendelian analysis: advancing personalized immunotherapy strategies.Discover oncology · 2025Article
- TSPAN4Frontiers in immunology · 2025Article
- Integrative single-cell and spatial transcriptomics uncover ELK4-mediated mechanisms inFrontiers in immunology · 2025Article
- Integrating multi-omics and experimental techniques to decode ubiquitinated protein modifications in hepatocellular carcinoma.Frontiers in pharmacology · 2025Article
- Single-cell technologies and spatial transcriptomics: decoding immune low - response states in endometrial cancer.Frontiers in immunology · 2025Review
- Revolutionizing cervical cancer treatment: single-cell sequencing ofFrontiers in immunology · 2025Article
- Single-cell analysis decodes cellular dynamics in clear cell renal cell carcinoma with tumor thrombus.Computational and structural biotechnology journal · 2025Article
- Exploring the role of Disulfidptosis in glioma progression: insights into tumor heterogeneity and therapeutic potential through single-cell RNA sequencing.Discover oncology · 2024Article
- Exploring copper metabolism-induced cell death in gastric cancer: a single-cell RNA sequencing study and prognostic model development.Discover oncology · 2024Article
- Unravelling infiltrating T-cell heterogeneity in kidney renal clear cell carcinoma: Integrative single-cell and spatial transcriptomic profiling.Journal of cellular and molecular medicine · 2024Article
- Innovative strategies to optimise colorectal cancer immunotherapy through molecular mechanism insights.Frontiers in immunology · 2024Article
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Authors and funding
14 authors.
Funding
Abstract
Kidney 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.
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