ArticleScientific reports2021
Immune classification of clear cell renal cell carcinoma.
Article in Scientific reports, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers.
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Who cites it
31 citing papers in PubMed, 34 citations in OpenAlex.
- Nanoplatform-Mediated Remodeling of the Immune Microenvironment in Renal Cell Carcinoma.International journal of nanomedicine · 2026Review
- Obesity-driven metabolic reprogramming and immune dysfunction in renal cancer.Frontiers in immunology · 2026Review
- Article
- Mapping therapy-responsive immune ecotypes in clear cell renal cell carcinoma through integrative omics.Frontiers in immunology · 2026Review
- Immune Landscape and Application of Immune Checkpoint Inhibitors in Clear Cell Renal Cell Carcinoma.International journal of molecular sciences · 2025Review
- Tumor-specific but immunosuppressive CD39Cell reports. Medicine · 2025Article
- Computed tomography-based delta-radiomics analysis for preoperative prediction of ISUP pathological nuclear grading in clear cell renal cell carcinoma.Abdominal radiology (New York) · 2025Article
- Metabolic reprogramming and immune microenvironment profiling in clear cell renal cell carcinoma: implications for prognosis, targeted therapy, and drug resistance.Discover oncology · 2025Article
- Acquired resistance to immune checkpoint therapy is caused by glycoprotein non-metastatic melanoma protein B signal cascade.Communications medicine · 2025Article
- SHC1 serves as a prognostic and immunological biomarker in clear cell renal cell carcinoma: a comprehensive bioinformatics and experimental analysis.Scientific reports · 2024Article
- Article
- Rho GTPase-activating protein 4 is upregulated in Kidney Renal Clear Cell Carcinoma and associated with poor prognosis and immune infiltration.Cancer biomarkers : section A of Disease markers · 2024Article
- The dysfunctional immune response in renal cell carcinoma correlates with changes in the metabolic landscape of ccRCC during disease progression.Cancer immunology, immunotherapy : CII · 2023Article
- Mathematical and Machine Learning Models of Renal Cell Carcinoma: A Review.Bioengineering (Basel, Switzerland) · 2023Review
- TRB CDR3-cancer testis antigen chemical complementarity scoring for identifying productive immune responses in renal cell carcinoma.Cancer biomarkers : section A of Disease markers · 2023Article
- Article
- Patient-Specific Mathematical Model of the Clear Cell Renal Cell Carcinoma Microenvironment.Journal of personalized medicine · 2022Article
- Reduced number of IFN-γ producing cells in peripheral blood is a biomarker for patients with renal cell carcinoma.Immunity, inflammation and disease · 2022Article
- TumorDecon: A digital cytometry software.SoftwareX · 2022Article
- Immunological classification of glioblastoma and its prognostic implications.American journal of translational research · 2022Article
Corrections and comments
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Authors and funding
3 authors at 1 institution in 1 country.
Funding
Abstract
Since the outcome of treatments, particularly immunotherapeutic interventions, depends on the tumor immune micro-environment (TIM), several experimental and computational tools such as flow cytometry, immunohistochemistry, and digital cytometry have been developed and utilized to classify TIM variations. In this project, we identify immune pattern of clear cell renal cell carcinomas (ccRCC) by estimating the percentage of each immune cell type in 526 renal tumors using the new powerful technique of digital cytometry. The results, which are in agreement with the results of a large-scale mass cytometry analysis, show that the most frequent immune cell types in ccRCC tumors are CD8+ T-cells, macrophages, and CD4+ T-cells. Saliently, unsupervised clustering of ccRCC primary tumors based on their relative number of immune cells indicates the existence of four distinct groups of ccRCC tumors. Tumors in the first group consist of approximately the same numbers of macrophages and CD8+ T-cells and and a slightly smaller number of CD4+ T cells than CD8+ T cells, while tumors in the second group have a significantly high number of macrophages compared to any other immune cell type (P-value [Formula: see text]). The third group of ccRCC tumors have a significantly higher number of CD8+ T-cells than any other immune cell type (P-value [Formula: see text]), while tumors in the group 4 have approximately the same numbers of macrophages and CD4+ T-cells and a significantly smaller number of CD8+ T-cells than CD4+ T-cells (P-value [Formula: see text]). Moreover, there is a high positive correlation between the expression levels of IFNG and PDCD1 and the percentage of CD8+ T-cells, and higher stage and grade of tumors have a substantially higher percentage of CD8+ T-cells. Furthermore, the primary tumors of patients, who are tumor free at the last time of follow up, have a significantly higher percentage of mast cells (P-value [Formula: see text]) compared to the patients with tumors for all groups of tumors except group 3.
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