ArticleDisease markers2019
Data Mining of Prognostic Microenvironment-Related Genes in Clear Cell Renal Cell Carcinoma: A Study with TCGA Database.
Article in Disease markers, 2019. 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.
- Identification and Validation of Tumor Microenvironment-Associated Signature in Clear-Cell Renal Cell Carcinoma through Integration of DNA Methylation and Gene Expression.International journal of molecular sciences · 2024Article
- Article
- The intrarenal landscape of T cell receptor repertoire in clear cell renal cell cancer.Journal of translational medicine · 2022Article
- LAG-3 as a Potent Target for Novel Anticancer Therapies of a Wide Range of Tumors.International journal of molecular sciences · 2022Review
- Integrated analysis of prognostic immune-related genes in the tumor microenvironment of ovarian cancer.Annals of translational medicine · 2022Article
- Comprehensive Genomic Characterization of Tumor Microenvironment and Relevant Signature in Clear Cell Renal Cell Carcinoma.Frontiers in oncology · 2022Article
- Precision Medicine: An Optimal Approach to Patient Care in Renal Cell Carcinoma.Frontiers in medicine · 2022Review
- Immunological perspective on the malignant progression of renal clear cell carcinoma.Annals of translational medicine · 2021Article
- Prediction and prognostic significance of ALOX12B and PACSIN1 expression in gastric cancer by genome-wide RNA expression and methylation analysis.Journal of gastrointestinal oncology · 2021Article
- Prognostic value of tumour microenvironment-related genes by TCGA database in rectal cancer.Journal of cellular and molecular medicine · 2021Article
- Gene expression-based immune infiltration analyses of renal cancer and their associations with survival outcome.BMC cancer · 2021Article
- Mining TCGA database for prognostic genes in head and neck squamous cell carcinoma microenvironment.Journal of dental sciences · 2021Article
- IGLL5 is correlated with tumor-infiltrating immune cells in clear cell renal cell carcinoma.FEBS open bio · 2021Article
- An Exploration of the Tumor Microenvironment Identified a Novel Five-Gene Model for Predicting Outcomes in Bladder Cancer.Frontiers in oncology · 2021Article
- Overexpression of chemokine receptor lymphotactin receptor 1 has prognostic value in clear cell renal cell carcinoma.Molecular genetics & genomic medicine · 2021Article
- Identification and Validation of a Tumor Microenvironment-Related Gene Signature for Prognostic Prediction in Advanced-Stage Non-Small-Cell Lung Cancer.BioMed research international · 2021Article
- Article
- Prognostic value and immune cell infiltration of hypoxic phenotype-related gene signatures in glioblastoma microenvironment.Journal of cellular and molecular medicine · 2020Article
- Comprehensive analysis of prognostic tumor microenvironment-related genes in osteosarcoma patients.BMC cancer · 2020Article
- An immune scores-based nomogram for predicting overall survival in patients with clear cell renal cell carcinoma.Medicine · 2020Observational
Corrections and comments
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Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Clear cell renal cell carcinoma (ccRCC) is one of the most prevalent kidney malignancies. The tumor microenvironment (TME) is highly related to the oncogenesis, progress, and prognosis of ccRCC. The aim of this study was to infer the level of infiltrating stromal and immune cells and assess the prognostic value of them. The gene expression profile was obtained from TCGA and used for calculating the stromal and immune scores. Based on a cut-off value, patients were divided into low- and high-stromal/immune score groups. Survival analysis was performed to evaluate the prognostic value of stromal and immune scores. Moreover, differentially expressed genes (DEGs) that are highly related to TME were determined and applied for functional enrichment analysis and protein-protein interaction (PPI) network. The Kaplan-Meier plot demonstrated that patients with high-immune scores and stromal scores had poorer clinical outcome. In addition, a total of 89 DEGs were identified and mainly involved in 5 pathways. The top 5 degree genes were extracted from the PPI network; among them, IL10 and XCR1 were highly associated with prognosis of ccRCC. The results of the present study demonstrated that ESTIMATE algorithm-based stromal and immune scores may be a credible indicator of cancer prognosis and IL10 along with XCR1 may be a potential key regulator for the TME of ccRCC.
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