Evidence map›Paper›PMID 30416077›Full record

ArticleThe Lancet. Oncology2018

Genomically annotated risk model for advanced renal-cell carcinoma: a retrospective cohort study.

Martin H Voss, Albert Reising, Yuan Cheng, Parul Patel, Mahtab Marker, Fengshen Kuo, Timothy A Chan, Toni K Choueiri, James J Hsieh, A Ari Hakimi and 1 more

Abstract readValidation Study
In one paragraph

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.

0numbers the graph read from it
0cells of the map it votes in
76citing papers in PubMed, 1 pooled it
14.5field-weighted citation impact, top 1% of its field
1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

76 citing papers in PubMed, 1 synthesis or guideline pooled it, 145 citations in OpenAlex.

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  8. Determinants of late metastases in renal cell carcinoma.Journal of the National Cancer Institute · 2025
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16 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

11 authors at 4 institutions in 1 country.

Martin H VossMemorial Sloan Kettering Cancer Center, New York, NY, USA. Electronic address: vossm@mskcc.org.
Albert ReisingNovartis Pharmaceuticals Corporation, East Hanover, NJ, USA.
Yuan ChengNovartis Pharmaceuticals Corporation, East Hanover, NJ, USA.
Parul PatelNovartis Pharmaceuticals Corporation, East Hanover, NJ, USA.
Mahtab MarkerNovartis Pharmaceuticals Corporation, East Hanover, NJ, USA.
Fengshen KuoMemorial Sloan Kettering Cancer Center, New York, NY, USA.
Timothy A ChanMemorial Sloan Kettering Cancer Center, New York, NY, USA.
Toni K ChoueiriDana-Farber Cancer Institute and Brigham and Women's Hospital, Boston, MA, USA.
James J HsiehWashington University in St Louis, St Louis, MO, USA.
A Ari HakimiMemorial Sloan Kettering Cancer Center, New York, NY, USA.
Robert J MotzerMemorial Sloan Kettering Cancer Center, New York, NY, USA.
Memorial Sloan Kettering Cancer Center · USNovartis (United States) · USDana-Farber Brigham Cancer Center · USWashington University in St. Louis · US

Funding

X-RAY CRYSTALLOGRAPHYP30CA008748 · NCI · SLOAN-KETTERING INSTITUTE FOR CANCER RES · PI Hongbiao Carl Lekaye · 1985 to 2026
$347.4M
NCI NIH HHS P30 CA008748
6 · The paper itself

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.

Indexed as

GenomicsModels, GeneticMutationAdolescentAdultAgedAged, 80 and overAntineoplastic AgentsBiomarkers, TumorCarcinoma, Renal CellClinical Trials, Phase II as TopicClinical Trials, Phase III as TopicDNA-Binding ProteinsDNA Mutational AnalysisFemaleGenetic Predisposition to DiseaseAntineoplastic AgentsBAP1 protein, humanBiomarkers, TumorDNA-Binding ProteinsNuclear ProteinsPBRM1 protein, humanProtein Kinase InhibitorsTP53 protein, humanTranscription FactorsTumor Suppressor Protein p53Tumor Suppressor ProteinsUbiquitin Thiolesterase

Identifiers

PMID30416077
PMCPMC6701184
OpenAlexW2899539231

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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.