The single‐cell evolution trajectory presented different hypoxia heterogeneity to reveal the carcinogenesis of genes in clear cell renal cell carcinoma: Based on multiple omics and real experimental verification

Author:

Ma Baoluo12,Qin Linghui1,Sun Zhou2ORCID,Wang Jingyu3,Tran Lisa Jia4,Zhang Jing5,Ye Fangdie6ORCID,Liu Yan1,Chen Min7

Affiliation:

1. Department of Urology, Xiangyang Central Hospital Affiliated Hospital of Hubei University of Arts and Science Xiangyang Hubei China

2. Department of Urology China‐Japan Union Hospital of Jilin University Changchun Jilin China

3. Renal Division Peking University First Hospital Beijing China

4. Department of General, Visceral, and Transplant Surgery Ludwig‐Maximilians‐University Munich Munich Germany

5. Division of Basic Biomedical Sciences The University of South Dakota Sanford School of Medicine Vermillion South Dakota USA

6. Department of Urology, Huashan Hospital Fudan University Shanghai China

7. Department of Geriatric The First People's Hospital of Jiangxia District Wuhan Hubei China

Abstract

AbstractIntroductionClear cell renal cell carcinoma (ccRCC) is the most prevalent and aggressive subtype of renal cell carcinoma, originating from renal tubular epithelial cells in the kidney. Hypoxia proves to be a feature commonly observed in solid tumors, leading to increased resistance to treatment and tumor progression.MethodsscRNA‐seq data were procured from GSE159115 data set. We utilized UMAP and NMF algorithm for clustering and dimensionality reduction. The FindAllMarkers function was used to compare various groups and identify potential hypoxia marker genes. A series of in vitro experiments, including CFA, flow cytometry targeting cell cycle, CCK‐8, and EDU, was applied to investigate how ANGPTL4 regulated the ccRCC progression. Two cell lines of ccRCC cells, 786‐O and Caki, were used for si‐ANGPTL4 transfection.ResultsWe annotated a total of a total of 6 cell clusters, namely ccRCC malignant cells, T cells, endothelial cells, myeloid cells, smooth muscle cells, and B cells. We observed higher levels of hypoxia‐score in the ccRCC malignant cells, while lowest hypoxia‐score in T and B cells. We detected multiple hypoxia‐related subclusters of TME cells in ccRCC, among which S100A4 CD8+ T cells and nonhypoxia CD8+ T cells were found with a marked elevation of T cell inhibitory gene score. We identified that ANGPTL4+ endothelial cells might function as an integrative role in tumor angiogenesis. Multiple TME subclusters showed high potency in stratification of the prognosis of ccRCC patients. Moreover, by a series of in vitro experiment, we found ANGPTL4 regulated the ccRCC cell proliferation, probably through ERK/P38 pathway.ConclusionWe discerned multiple hypoxia‐related subclusters of TME cells in ccRCC, which displayed distinct functional features and great potency in predicting prognosis of ccRCC patients. We identified the role of ANGPTL4 in regulating ccRCC proliferation via ERK/p38 pathway.

Publisher

Wiley

Subject

Health, Toxicology and Mutagenesis,Management, Monitoring, Policy and Law,Toxicology,General Medicine

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