Evidence map›Paper›PMID 34261695›Full record

ArticleClinical cancer research : an official journal of the American Association for Cancer Research2021

Prevalence and Landscape of Actionable Genomic Alterations in Renal Cell Carcinoma.

Kyrollis Attalla, Renzo G DiNatale, Phillip M Rappold, Christopher J Fong, Francisco Sanchez-Vega, Andrew W Silagy, Stanley Weng, Jonathan Coleman, Chung-Han Lee, Maria I Carlo and 10 more

Open access · bronzeAbstract read
In one paragraph

Article in Clinical cancer research : an official journal of the American Association for Cancer Research, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed, 1 pooled it
1.9field-weighted citation impact, top 13% 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

15 citing papers in PubMed, 1 synthesis or guideline pooled it, 22 citations in OpenAlex.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

20 authors at 1 institution in 1 country.

Kyrollis Attalla *Department of Surgery, Urology Service, Memorial Sloan Kettering Cancer Center, New York, New York.
Renzo G DiNatale *Department of Surgery, Urology Service, Memorial Sloan Kettering Cancer Center, New York, New York.
Phillip M RappoldDepartment of Surgery, Urology Service, Memorial Sloan Kettering Cancer Center, New York, New York.
Christopher J FongMarie-Josée and Henry R. Kravis Center for Molecular Oncology, Memorial Sloan Kettering Cancer Center, New York, New York.
Francisco Sanchez-VegaDepartment of Epidemiology and Biostatistics, Computational Oncology Service, Memorial Sloan Kettering Cancer Center, New York, New York.
Andrew W SilagyDepartment of Surgery, Urology Service, Memorial Sloan Kettering Cancer Center, New York, New York.
Stanley WengDepartment of Surgery, Urology Service, Memorial Sloan Kettering Cancer Center, New York, New York.
Jonathan ColemanDepartment of Surgery, Urology Service, Memorial Sloan Kettering Cancer Center, New York, New York.
Chung-Han LeeDepartment of Medicine, Memorial Sloan Kettering Cancer Center, New York, New York.ORCID 0000-0001-5511-0635
Maria I CarloDepartment of Medicine, Memorial Sloan Kettering Cancer Center, New York, New York.ORCID 0000-0002-4786-7408
Jeremy C DurackDepartment of Interventional Radiology, Memorial Sloan Kettering Cancer Center, New York, New York.
Stephen B SolomonDepartment of Interventional Radiology, Memorial Sloan Kettering Cancer Center, New York, New York.
Victor E ReuterDepartment of Pathology, Memorial Sloan Kettering Cancer Center, New York, New York.
Paul RussoDepartment of Surgery, Urology Service, Memorial Sloan Kettering Cancer Center, New York, New York.ORCID 0000-0001-7487-6783
Timothy A ChanDepartment of Radiation Oncology, Memorial Sloan Kettering Cancer Center, New York, New York.
Robert J MotzerDepartment of Medicine, Memorial Sloan Kettering Cancer Center, New York, New York.ORCID 0000-0001-6925-2327
Nikolaus D SchultzMarie-Josée and Henry R. Kravis Center for Molecular Oncology, Memorial Sloan Kettering Cancer Center, New York, New York.
Ed ReznikDepartment of Epidemiology and Biostatistics, Computational Oncology Service, Memorial Sloan Kettering Cancer Center, New York, New York.ORCID 0000-0002-6511-5947
Martin H VossDepartment of Medicine, Memorial Sloan Kettering Cancer Center, New York, New York. hakimia@mskcc.org vossm@mskcc.org.ORCID 0000-0003-0551-5807
A Ari HakimiDepartment of Surgery, Urology Service, Memorial Sloan Kettering Cancer Center, New York, New York. hakimia@mskcc.org vossm@mskcc.org.
Memorial Sloan Kettering Cancer Center · US

Funding

X-RAY CRYSTALLOGRAPHYP30CA008748 · NCI · SLOAN-KETTERING INSTITUTE FOR CANCER RES · PI Nicholas D Socci · 1985 to 2026
$347.4M
UROLOGY ONCOLOGY RESEARCH TRAINING GRANTT32CA082088 · NCI · SLOAN-KETTERING INSTITUTE FOR CANCER RES · PI Brett Stewart Carver · 1999 to 2026
$7.1M
TOWARDS PRECISION IMMUNO-ONCOLOGY: UNRAVELING THE GENOMIC DETERMINANTS AND MECHANISMS UNDERLYING IMMUNOTHERAPY EFFICACY AND RESISTANCER35CA232097 · NCI · SLOAN-KETTERING INST CAN RESEARCH · PI CHAN, TIMOTHY AN-THY · 2018 to 2024
$7.0M
NCI NIH HHS P30 CA008748NCI NIH HHS R35 CA232097NCI NIH HHS T32 CA082088
6 · The paper itself

Abstract

purposeWe report our experience with next-generation sequencing to characterize the landscape of actionable genomic alterations in renal cell carcinoma (RCC). EXPERIMENTAL

designA query of our institutional clinical sequencing database (MSK-IMPACT) was performed that included tumor samples from 38,468 individuals across all cancer types. Somatic variations were annotated using a precision knowledge database (OncoKB) and the available clinical data stratified by level of evidence. Alterations associated with response to immune-checkpoint blockade (ICB) were analyzed separately; these included DNA mismatch repair (MMR) gene alterations, tumor mutational burden (TMB), and microsatellite instability (MSI). Data from The Cancer Genome Atlas (TCGA) consortium as well as public data from several clinical trials in metastatic RCC were used for validation purposes. Multiregional sequencing data from the TRAcking Cancer Evolution through Therapy (TRACERx) RENAL cohort were used to assess the clonality of somatic mutations.

resultsOf the 753 individuals with RCC identified in the MSK-IMPACT cohort, 115 showed evidence of targetable alterations, which represented a prevalence of 15.3% [95% confidence interval (CI), 12.7%-17.8%). When stratified by levels of evidence, the alterations identified corresponded to levels 2 (11.3%), 3A (5.2%), and 3B (83.5%). A low prevalence was recapitulated in the TCGA cohort at 9.1% (95% CI, 6.9%-11.2%). Copy-number variations predominated in papillary RCC tumors, largely due to amplifications in the

conclusionsRCC harbors a low prevalence of clinically actionable alterations compared with other tumors and the evidence supporting their clinical use is limited. These aberrations were found to be more common in advanced disease and seem to occur later during tumor evolution. Our study provides new insights on the role of targeted therapies for RCC and highlights the need for additional research to improve treatment selection using genomic profiling.

Indexed as

GenomeMutationCarcinoma, Renal CellHigh-Throughput Nucleotide SequencingHumansKidney Neoplasms

Identifiers

PMID34261695
PMCPMC8530915
OpenAlexW3179383096

What OpenQuestion holds

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Registered trials

None linked

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.