ArticleFrontiers in immunology2022
Immune-Associated Gene Signatures Serve as a Promising Biomarker of Immunotherapeutic Prognosis for Renal Clear Cell Carcinoma.
Article in Frontiers in immunology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.
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Who cites it
23 citing papers in PubMed, 29 citations in OpenAlex.
- Explore the key genes and prognosis related to mitochondrial permeability transition driving necrosis gene in kidney renal clear cell carcinoma.Scientific reports · 2025Article
- In silico research of coagulation- and fibrinolysis-related genes for predicting prognosis of clear cell renal cell carcinoma.Translational andrology and urology · 2025Article
- Clinical significance and pro-oncogenic function of DBF4 in clear cell renal cell carcinoma.BMC urology · 2025Article
- A tumor immune microenvironment gene expression signature for predicting prognosis, immunotherapy efficacy, and drug candidates in triple-negative breast cancer.Frontiers in immunology · 2025Article
- A robust ammonia metabolism gene signature identified by machine learning predicts prognosis and immunotherapy response in clear cell renal cell carcinoma.Frontiers in oncology · 2025Article
- Identification and Validation of a Prognostic Signature Based on mRNAs Associated with Low-Density Lipoprotein Receptor-Related Proteins for Kidney Renal Clear Cell Carcinoma: Insights Into Tumor Immune Microenvironment, Mutation Patterns, and Personalized Treatment Strategies.International journal of general medicine · 2025Article
- NEDD4L Suppresses Proliferation and Promotes Apoptosis by Ubiquitinating RAC2 Expression and Acts as a Prognostic Biomarker in Clear Cell Renal Cell Carcinoma.International journal of molecular sciences · 2024Article
- LINC01094: A key long non-coding RNA in the regulation of cancer progression and therapeutic targets.Heliyon · 2024Review
- SHC1 serves as a prognostic and immunological biomarker in clear cell renal cell carcinoma: a comprehensive bioinformatics and experimental analysis.Scientific reports · 2024Article
- Article
- Diagnostic, predictive and prognostic molecular biomarkers in clear cell renal cell carcinoma: A retrospective study.Cancer reports (Hoboken, N.J.) · 2024Review
- Bioinformatics analysis and experimental verification of the cancer-promoting effect of DHODH in clear cell renal cell carcinoma.Scientific reports · 2024Article
- Article
- CPA4 as a biomarker promotes the proliferation, migration and metastasis of clear cell renal cell carcinoma cells.Journal of cellular and molecular medicine · 2024Article
- Population Structure and Selection Signal Analysis of Nanyang Cattle Based on Whole-Genome Sequencing Data.Genes · 2024Review
- Identification of ATP6V0A4 as a potential biomarker in renal cell carcinoma using integrated bioinformatics analysis.Oncology letters · 2023Article
- Predicting response of immunotherapy and targeted therapy and prognosis characteristics for renal clear cell carcinoma based on m1A methylation regulators.Scientific reports · 2023Article
- Article
- Article
- A New Signature That Predicts Progression-Free Survival of Clear Cell Renal Cell Carcinoma with Anti-PD-1 Therapy.International journal of molecular sciences · 2023Article
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Authors and funding
10 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
As the most common type of renal cell carcinoma (RCC), the renal clear cell carcinoma (ccRCC) is highly malignant and insensitive to chemotherapy or radiotherapy. Although systemic immunotherapies have been successfully applied to ccRCC in recent years, screening for patients who can benefit most from these therapies is still essential and challenging due to immunological heterogeneity of ccRCC patients. To this end, we implemented a series of deep investigation on the expression and clinic data of ccRCC from The Cancer Genome Atlas (TCGA) International Consortium for Cancer Genomics (ICGC). We identified a total of 946 immune-related genes that were differentially expressed. Among them, five independent genes, including SHC1, WNT5A, NRP1, TGFA, and IL4R, were significantly associated with survival and used to construct the immune-related prognostic differential gene signature (IRPDGs). Then the ccRCC patients were categorized into high-risk and low-risk subgroups based on the median risk score of the IRPDGs. IRPDGs subgroups displays distinct genomic and immunological characteristics. Known immunotherapy-related genes show different mutation burden, wherein the mutation rate of VHL was higher than 40% in the two IRPDGs subgroups, and SETD2 and BAP1 mutations differed most between two groups with higher frequency in the high-risk subgroup. Moreover, IRPDGs subgroups had different abundance in tumor-infiltrating immune cells (TIICs) with distinct immunotherapy efficacy. Plasma cells, regulatory cells (Tregs), follicular helper T cells (Tfh), and M0 macrophages were enriched in the high-risk group with a higher tumor immune dysfunction and rejection (TIDE) score. In contrast, the low-risk group had abundant M1 macrophages, mast cell resting and dendritic cell resting infiltrates with lower TIDE score and benefited more from immune checkpoint inhibitors (ICI) treatment. Compared with other biomarkers, such as TIDE and tumor inflammatory signatures (TIS), IRPDGs demonstrated to be a better biomarker for assessing the prognosis of ccRCC and the efficacy of ICI treatment with the promise in screening precise patients for specific immunotherapies.
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