ArticleThe Lancet. Oncology2018
Genomically annotated risk model for advanced renal-cell carcinoma: a retrospective cohort study.
Article in The Lancet. Oncology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 76 papers, 1 of them a synthesis that pooled it.
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Who cites it
76 citing papers in PubMed, 1 synthesis or guideline pooled it, 145 citations in OpenAlex.
- Familial Kidney Cancer: Implications of New Syndromes and Molecular Insights.European urology · 2019Pooled it
- Molecular Genetic Determinants of Shorter Time on Active Surveillance in a Prospective Phase 2 Clinical Trial in Metastatic Renal Cell Carcinoma.European urology · 2022Trial
- Genomic signatures define three subtypes of EGFR-mutant stage II-III non-small-cell lung cancer with distinct adjuvant therapy outcomes.Nature communications · 2021Trial
- Expression of PBRM1 as a prognostic predictor in metastatic renal cell carcinoma patients treated with tyrosine kinase inhibitor.International journal of clinical oncology · 2020Trial
- Distinct endogenous retroviruses are expressed in mutational subtypes of clear cell renal cell carcinoma and are linked to improved clinical outcomes.Cell reports · 2026Article
- Determinants of pancreatic tropism in metastatic renal cell carcinoma.JCI insight · 2026Article
- First-Line Treatment Strategies in IMDC Favourable-Risk Metastatic Clear Cell Renal Cell Carcinoma.Oncology research · 2026Review
- Determinants of late metastases in renal cell carcinoma.Journal of the National Cancer Institute · 2025Article
- Review
- Genomic analysis of small renal masses reveals mutations linked with renal cell carcinoma and fast-growing tumors.Journal of cancer research and clinical oncology · 2025Article
- Pathological Outcomes of Patients With Advanced Renal Cell Carcinoma Who Receive Nephrectomy Following Immunotherapy.The oncologist · 2024Article
- Established and emerging biomarkers of immunotherapy in renal cell carcinoma.Immunotherapy · 2024Review
- Article
- Focal therapy for oligometastatic and oligoprogressive renal cell carcinoma: a narrative review.Future oncology (London, England) · 2024Review
- Predictive genomic biomarkers of therapeutic effects in renal cell carcinoma.Cellular oncology (Dordrecht, Netherlands) · 2023Review
- Genetic and Epigenetic Characteristics in Isolated Pancreatic Metastases of Clear-Cell Renal Cell Carcinoma.International journal of molecular sciences · 2023Review
- Genomic Profiling and Molecular Characterization of Clear Cell Renal Cell Carcinoma.Current oncology (Toronto, Ont.) · 2023Review
- BAP1-related signature predicts benefits from immunotherapy over VEGFR/mTOR inhibitors in ccRCC: a retrospective analysis of JAVELIN Renal 101 and checkmate-009/010/025 trials.Cancer immunology, immunotherapy : CII · 2023Article
- Dyskerin and telomerase RNA component are sex-differentially associated with outcomes and Sunitinib response in patients with clear cell renal cell carcinoma.Biology of sex differences · 2023Article
- Current Status of Predictive Biomarker Development in Metastatic Renal Cell Carcinoma.Current oncology reports · 2023Review
16 more citing papers are in PubMed but not listed here.
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Authors and funding
11 authors at 4 institutions in 1 country.
Funding
Abstract
backgroundThe Memorial Sloan Kettering Cancer Center (MSKCC) risk model is an established prognostic tool for metastatic renal-cell carcinoma that integrates clinical and laboratory data, but is agnostic to tumour genomics. Several mutations, including BAP1 and PBRM1, have prognostic value in renal-cell carcinoma. Using two independent clinical trial datasets of patients with metastatic renal-cell carcinoma, we aimed to study whether the addition of the mutation status for several candidate prognostic genes to the MSKCC model could improve the model's prognostic performance.
methodsIn this retrospective cohort study, we used available formalin-fixed paraffin-embedded tumour tissue and clinical outcome data from patients with metastatic renal-cell carcinoma assigned to treatment with tyrosine kinase inhibitors in the COMPARZ trial (training cohort; n=357) and RECORD-3 trial (validation cohort; n=258). Eligible patients in both trials were treatment-naive; had histologically confirmed, advanced, or metastatic renal-cell carcinoma; and a Karnofsky performance status score of at least 70. For each cohort, data from patients in all treatment groups (sunitinib and pazopanib in the training cohort, and everolimus and sunitinib in the validation cohort) were pooled for this analysis. In the training cohort, tumour tissue was used to evaluate somatic mutations by next-generation sequencing, and the association between cancer-specific outcomes (overall survival, progression-free survival, and overall response) and the mutation status of six genes of interest (BAP1, PBRM1, TP53, TERT, KDM5C, and SETD2) was tested. Only those genes with prognostic value in this setting were added to the MSKCC risk model to create a genomically annotated version. The validation cohort was used to independently test the prognostic value of the annotated model compared with the original MSKCC risk model.
findings357 (32%) of 1110 patients assigned to protocol treatment in the COMPARZ study between August, 2008, and September, 2011, were evaluable for mutation status and clinical outcomes in the training cohort. The independent validation cohort included 258 (55%) of 471 evaluable patients, enrolled between October, 2009, and June, 2011, on the RECORD-3 study. In the training cohort, the presence of any mutation in BAP1 or TP53, or both, and absence of any mutation in PBRM1 were prognostic in terms of overall survival (TP53
interpretationThe mutation status of BAP1, PBRM1, and TP53 has independent prognostic value in patients with advanced or metastatic renal-cell carcinoma treated with first-line tyrosine kinase inhibitors. Improved stratification of patients across risk groups by use of a genomically annotated model including the mutational status of these three genes warrants further investigation in prospective trials and could be of use as a model to stratify patients with metastatic renal-cell carcinoma in clinical trials.
fundingNovartis Pharmaceuticals Corporation, MSKCC Support Grant/Core Grant, and the J Randall & Kathleen L MacDonald Research Fund.
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