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Unravelling infiltrating T-cell heterogeneity in kidney renal clear cell carcinoma: Integrative single-cell and spatial transcriptomic profiling.
Chen, Haiqing; Zuo, Haoyuan; Huang, Jinbang; Liu, Jie; Jiang, Lai; Jiang, Chenglu; Zhang, Shengke; Hu, Qingwen; Lai, Haotian; Yin, Bangchao; Yang, Guanhu; Mai, Gang; Li, Bo; Chi, Hao.
Afiliación
  • Chen H; Department of General Surgery (Hepatopancreatobiliary Surgery), The Affiliated Hospital, Southwest Medical University, Luzhou, China.
  • Zuo H; School of Clinical Medicine, The Affiliated Hospital, Southwest Medical University, Luzhou, China.
  • Huang J; Department of General Surgery (Hepatopancreatobiliary Surgery), The Affiliated Hospital, Southwest Medical University, Luzhou, China.
  • Liu J; Department of General Surgery (Hepatopancreatobiliary Surgery), Deyang People's Hospital, Deyang, China.
  • Jiang L; School of Clinical Medicine, The Affiliated Hospital, Southwest Medical University, Luzhou, China.
  • Jiang C; Department of General Surgery (Hepatopancreatobiliary Surgery), The Affiliated Hospital, Southwest Medical University, Luzhou, China.
  • Zhang S; Department of General Surgery, Dazhou Central Hospital, Dazhou, China.
  • Hu Q; School of Clinical Medicine, The Affiliated Hospital, Southwest Medical University, Luzhou, China.
  • Lai H; School of Clinical Medicine, The Affiliated Hospital, Southwest Medical University, Luzhou, China.
  • Yin B; School of Clinical Medicine, The Affiliated Hospital, Southwest Medical University, Luzhou, China.
  • Yang G; School of Clinical Medicine, The Affiliated Hospital, Southwest Medical University, Luzhou, China.
  • Mai G; School of Clinical Medicine, The Affiliated Hospital, Southwest Medical University, Luzhou, China.
  • Li B; Department of Pathology, Sixth People's Hospital of Yibin, Yibin, China.
  • Chi H; Department of Specialty Medicine, Ohio University, Athens, Ohio, USA.
J Cell Mol Med ; 28(12): e18403, 2024 Jun.
Article en En | MEDLINE | ID: mdl-39031800
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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Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Carcinoma de Células Renales / Linfocitos T / Regulación Neoplásica de la Expresión Génica / Perfilación de la Expresión Génica / Análisis de la Célula Individual / Microambiente Tumoral / Transcriptoma / Neoplasias Renales Límite: Humans Idioma: En Revista: J Cell Mol Med Asunto de la revista: BIOLOGIA MOLECULAR Año: 2024 Tipo del documento: Article País de afiliación: China

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Carcinoma de Células Renales / Linfocitos T / Regulación Neoplásica de la Expresión Génica / Perfilación de la Expresión Génica / Análisis de la Célula Individual / Microambiente Tumoral / Transcriptoma / Neoplasias Renales Límite: Humans Idioma: En Revista: J Cell Mol Med Asunto de la revista: BIOLOGIA MOLECULAR Año: 2024 Tipo del documento: Article País de afiliación: China