ArticleCancer cell international2020
CTLA4 has a profound impact on the landscape of tumor-infiltrating lymphocytes with a high prognosis value in clear cell renal cell carcinoma (ccRCC).
Article in Cancer cell international, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
22 citing papers in PubMed, 32 citations in OpenAlex.
- The expression and prognostic significance of immune checkpoint molecules across clear cell, papillary and chromophobe renal cell carcinoma subtypes.International urology and nephrology · 2026Article
- Article
- CT-Based Radiomics for Prediction of Molecular Markers in Clear Cell Renal Cell Carcinoma: A Comprehensive Review.Medicina (Kaunas, Lithuania) · 2026Review
- Article
- Nanoplatform-Mediated Remodeling of the Immune Microenvironment in Renal Cell Carcinoma.International journal of nanomedicine · 2026Review
- Association of KIM-1 (HAVCR1) Expression with the Tumor Immune Microenvironment in Clear Cell Renal Cell Carcinoma.Current gene therapy · 2026Article
- Sensitivity of renal cell carcinoma to cuproptosis: a bioinformatics analysis and experimental verification.Journal of Cancer · 2025Article
- Flow Cytometric Profiling of Peripheral Immune Checkpoints Predicts Prognosis and Reveals PD-1/Treg/IL-10 Crosstalk in B-Cell Lymphoma.ImmunoTargets and therapy · 2025Article
- Predicting response of immunotherapy and targeted therapy and prognosis characteristics for renal clear cell carcinoma based on m1A methylation regulators.Scientific reports · 2023Article
- The use of RNA-based treatments in the field of cancer immunotherapy.Molecular cancer · 2023Review
- ARHGAP11A Is a Novel Prognostic and Predictive Biomarker Correlated with Immunosuppressive Microenvironment in Clear Cell Renal Cell Carcinoma.International journal of molecular sciences · 2023Article
- N6-methyladenosine methylation related immune biomarkers correlates with clinicopathological characteristics and prognosis in clear cell renal cell carcinoma.Translational cancer research · 2022Article
- Integrated Bioinformatic Analysis of DNA Methylation and Immune Infiltration in Endometrial Cancer.BioMed research international · 2022Article
- Prognostic Characteristics and Immune Effects of NFrontiers in genetics · 2022Article
- Identification and Verification of an Alternative Polyadenylation-Related lncRNA Prognostic Signature for Glioma.Computational and mathematical methods in medicine · 2022Article
- Elevated SNRPA1, as a Promising Predictor Reflecting Severe Clinical OutcomeFrontiers in immunology · 2022Article
- Decoding the Immune Microenvironment of Clear Cell Renal Cell Carcinoma by Single-Cell Profiling to Aid Immunotherapy.Frontiers in immunology · 2022Article
- Review
- ISPRF: a machine learning model to predict the immune subtype of kidney cancer samples by four genes.Translational andrology and urology · 2021Article
- Aiduqing formula inhibits breast cancer metastasis by suppressing TAM/CXCL1-induced Treg differentiation and infiltration.Cell communication and signaling : CCS · 2021Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
13 authors at 3 institutions in 1 country.
Funding
Abstract
Background: Cytotoxic T-lymphocyte associated protein 4 (CTLA4) inhibitors have been shown to significantly prolong the overall survival (OS) in a wide range of cancers. However, its application in clear cell renal cell carcinoma (ccRCC) is limited due to the therapy response, and the prognostic value of CTLA4 in ccRCC has not been investigated in detail. Methods: By using immunohistochemistry, Kaplan-Meier (K-M) analysis, uni- and multi-variate Cox analysis, we comprehensively and systematically studied the prognostic value of CTLA4 in ccRCC. Then, we applied Gene Ontology (GO), the Kyoto Encyclopedia of Genes and Genomes (KEGG) and CIBERSORT, ESTIMATE algorithm, ssGSEA and somatic mutation analyses to reveal the impact of CTLA4 on the landscape of tumor-infiltrating lymphocytes (TILs) infiltration and genetic mutation. Besides, given current concerns caused by combined immunotherapy, we also investigated the relationship between CTLA4 and other immune checkpoints. Results: In vitro experiment and data mining showed that, CTLA4 was up-regulated in ccRCC tissues and closely related to the disease progression as well as a poor prognosis. Deeper researches demonstrated that CTLA4 regulates T cell activation and was significantly linked to TIL-abundant tumor microenvironment (TME), but was accompanied by an immunosuppressed phenotype. Mutation analysis showed that CTLA4 was associated with more frequent BRCA-associated protein 1 (BAP1) mutation. Moreover, we found that CTLA4 was markedly correlated with multiple immune checkpoints, which suggested that ccRCC patients with high expressed CTLA4 may benefit more from immune checkpoint blockades (ICBs) combined therapy. Conclusion: CTLA4 has a profound impact on the landscape of TILs and genetic mutation, and can be used as the biomarker with high prognosis value in ccRCC.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.