Evidence map›Paper›PMID 29978187›Full record

ArticleJAMA oncology2018

Prevalence of Germline Mutations in Cancer Susceptibility Genes in Patients With Advanced Renal Cell Carcinoma.

Maria I Carlo, Semanti Mukherjee, Diana Mandelker, Joseph Vijai, Yelena Kemel, Liying Zhang, Andrea Knezevic, Sujata Patil, Ozge Ceyhan-Birsoy, Kuo-Cheng Huang and 19 more

Open access · bronzeAbstract read
In one paragraph

Article in JAMA oncology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 101 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
101citing papers in PubMed, 4 pooled it
13.4field-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

101 citing papers in PubMed, 4 syntheses or guidelines pooled it, 194 citations in OpenAlex.

  1. Pooled it
  2. Roles of AFAP1-AS1 in Gynecology and Urogenital System.Current pharmaceutical design · 2024
    Pooled it
  3. Guideline
  4. Pooled it
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  18. Translational breast cancer research : a journal focusing on translational research in breast cancer · 2025
    Review
  19. Article
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41 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

29 authors at 2 institutions in 1 country.

Maria I CarloDepartment of Medicine, Memorial Sloan Kettering Cancer Center, New York, New York.
Semanti MukherjeeDepartment of Medicine, Memorial Sloan Kettering Cancer Center, New York, New York.
Diana MandelkerDepartment of Pathology, Memorial Sloan Kettering Cancer Center, New York, New York.
Joseph VijaiDepartment of Medicine, Memorial Sloan Kettering Cancer Center, New York, New York.
Yelena KemelSloan Kettering Institute, New York, New York.
Liying ZhangDepartment of Pathology, Memorial Sloan Kettering Cancer Center, New York, New York.
Andrea KnezevicDepartment of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, New York, New York.
Sujata PatilDepartment of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, New York, New York.
Ozge Ceyhan-BirsoyDepartment of Pathology, Memorial Sloan Kettering Cancer Center, New York, New York.
Kuo-Cheng HuangDepartment of Pathology, Memorial Sloan Kettering Cancer Center, New York, New York.
Almedina RedzematovicDepartment of Medicine, Memorial Sloan Kettering Cancer Center, New York, New York.
Devyn T CoskeyDepartment of Medicine, Memorial Sloan Kettering Cancer Center, New York, New York.
Carolyn StewartDepartment of Medicine, Memorial Sloan Kettering Cancer Center, New York, New York.
Nisha PradhanDepartment of Medicine, Memorial Sloan Kettering Cancer Center, New York, New York.
Angela G ArnoldDepartment of Medicine, Memorial Sloan Kettering Cancer Center, New York, New York.
A Ari HakimiDepartment of Surgery, Memorial Sloan Kettering Cancer Center, New York, New York.
Ying-Bei ChenDepartment of Pathology, Memorial Sloan Kettering Cancer Center, New York, New York.
Jonathan A ColemanDepartment of Surgery, Memorial Sloan Kettering Cancer Center, New York, New York.
David M HymanDepartment of Medicine, Memorial Sloan Kettering Cancer Center, New York, New York.
Marc LadanyiDepartment of Pathology, Memorial Sloan Kettering Cancer Center, New York, New York.
Karen A CadooDepartment of Medicine, Memorial Sloan Kettering Cancer Center, New York, New York.
Michael F WalshDepartment of Medicine, Memorial Sloan Kettering Cancer Center, New York, New York.
Zsofia K StadlerDepartment of Medicine, Memorial Sloan Kettering Cancer Center, New York, New York.
Chung-Han LeeDepartment of Medicine, Memorial Sloan Kettering Cancer Center, New York, New York.
Darren R FeldmanDepartment of Medicine, Memorial Sloan Kettering Cancer Center, New York, New York.
Martin H VossDepartment of Medicine, Memorial Sloan Kettering Cancer Center, New York, New York.
Mark RobsonDepartment of Medicine, Memorial Sloan Kettering Cancer Center, New York, New York.
Robert J MotzerDepartment of Medicine, Memorial Sloan Kettering Cancer Center, New York, New York.
Kenneth OffitDepartment of Medicine, Memorial Sloan Kettering Cancer Center, New York, New York.
Memorial Sloan Kettering Cancer Center · USKettering University · US

Funding

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

Abstract

Importance: Identification of patients with hereditary renal cell carcinoma (RCC) is important for cancer screening and, in patients with advanced disease, for guiding treatment. The prevalence of cancer-related germline mutations in patients with advanced RCC and the phenotypes associated with some rare mutations are unknown. Objectives: To examine the prevalence of germline mutations in both known RCC predisposition genes and other cancer-associated genes and to identify clinical and pathologic factors associated with germline mutations. Design, Setting, and Participants: In this cohort study conducted from October 1, 2015, to July 31, 2017, 254 of 267 patients with advanced (American Joint Committee on Cancer stage III or IV) RCC who were seen in medical oncology or urology clinics agreed to germline sequencing and disclosure of results under an institutional protocol of matched tumor-germline DNA sequencing. Main Outcomes and Measures: Mutation prevalence and spectrum in patients with advanced RCC were determined. Clinical characteristics were assessed by mutation status. Results: Of the 254 patients (median age [range], 56 [13-79] years; 179 [70.5%] male; 211 [83.1%] non-Hispanic white), germline mutations were identified in 41 (16.1%); 14 (5.5%) had mutations in syndromic RCC-associated genes (7 in FH, 3 in BAP1, and 1 each in VHL, MET, SDHA, and SDHB). The most frequent mutations were CHEK2 (n = 9) and FH (n = 7). Of genes not previously associated with RCC risk, CHEK2 was overrepresented in patients compared with the general population, with an odds ratio of RCC of 3.0 (95% CI, 1.3-5.8; P = .003). Patients with non-clear cell RCC were significantly more likely to have an RCC-associated gene mutation (9 [11.7%] of 74 vs 3 [1.7%] of 177; P = .001), and 8 (10.0%) had a mutation in a gene that could guide therapy. Of patients with mutations in RCC-associated genes, 5 (35.7%) failed to meet current clinical guidelines for genetic testing. Conclusions and Relevance: Of patients with non-clear cell RCC, more than 20% had a germline mutation, of which half had the potential to direct systemic therapy. Current referral criteria for genetic testing did not identify a substantial portion of patients with mutations, supporting the role of a more inclusive sequencing approach.

Indexed as

Germ-Line MutationAdolescentAdultAgedCarcinoma, Renal CellCohort StudiesFemaleGenetic Association StudiesGenetic Predisposition to DiseaseGenetic TestingHumansKidney NeoplasmsMaleMiddle AgedPrevalenceYoung Adult

Identifiers

PMID29978187
PMCPMC6584283
OpenAlexW2825050015

What OpenQuestion holds

Textmetadata
Read underepoch 390

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.