Evidence map›Paper›PMID 26505625›Full record

ArticleCancer2016

Validation and genomic interrogation of the MET variant rs11762213 as a predictor of adverse outcomes in clear cell renal cell carcinoma.

A Ari Hakimi, Irina Ostrovnaya, Anders Jacobsen, Katalin Susztak, Jonathan A Coleman, Paul Russo, Andrew G Winer, Roy Mano, Alexander I Sankin, Robert J Motzer and 8 more

Open access · bronzeAbstract read
In one paragraph

Article in Cancer, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed, 1 pooled it
1.9field-weighted citation impact, top 14% 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

12 citing papers in PubMed, 1 synthesis or guideline pooled it, 20 citations in OpenAlex.

  1. Pooled it
  2. Review
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. c-Met in chromophobe renal cell carcinoma.Medical oncology (Northwood, London, England) · 2017
    Article
  10. Review
  11. Article
  12. What's new in renal cell cancer research? Highlights of GU-ASCO 2014.Canadian Urological Association journal = Journal de l'Association des urologues du Canada · 2014
    Review
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

18 authors at 5 institutions in 1 country.

A Ari HakimiMemorial Sloan Kettering Cancer Center, New York, New York.
Irina OstrovnayaMemorial Sloan Kettering Cancer Center, New York, New York.
Anders JacobsenMemorial Sloan Kettering Cancer Center, New York, New York.
Katalin SusztakUniversity of Pennsylvania, Philadelphia, Pennsylvania.
Jonathan A ColemanMemorial Sloan Kettering Cancer Center, New York, New York.
Paul RussoMemorial Sloan Kettering Cancer Center, New York, New York.
Andrew G WinerMemorial Sloan Kettering Cancer Center, New York, New York.
Roy ManoMemorial Sloan Kettering Cancer Center, New York, New York.
Alexander I SankinMemorial Sloan Kettering Cancer Center, New York, New York.
Robert J MotzerMemorial Sloan Kettering Cancer Center, New York, New York.
Martin H VossMemorial Sloan Kettering Cancer Center, New York, New York.
Kenneth OffitMemorial Sloan Kettering Cancer Center, New York, New York.
Mark PurdueNational Cancer Institute, Bethesda, Maryland.
Mark PomerantzDana-Farber Cancer Institute, Harvard Medical School, Boston, Massachusetts.
Matthew FreedmanDana-Farber Cancer Institute, Harvard Medical School, Boston, Massachusetts.
Toni K ChoueiriDana-Farber Cancer Institute, Harvard Medical School, Boston, Massachusetts.
James J HsiehMemorial Sloan Kettering Cancer Center, New York, New York.
Robert J KleinMount Sinai School of Medicine, New York, New York.
Memorial Sloan Kettering Cancer Center · USDana-Farber Cancer Institute · USIcahn School of Medicine at Mount Sinai · USNational Cancer Institute · USUniversity of Pennsylvania · 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
Epigenetics of Chronic Kidney DiseaseR01DK087635 · NIDDK · UNIVERSITY OF PENNSYLVANIA · PI KATALIN SUSZTAK · 2009 to 2026
$7.0M
Epigenetic drivers and biomarkers of diabetic kidney diseaseDP3DK108220 · NIDDK · UNIVERSITY OF PENNSYLVANIA · PI SUSZTAK, KATALIN · 2015 to 2015
$2.4M
Linking disease-associated variants to transcriptional regulation using ENCODEU01HG007033 · NHGRI · SLOAN-KETTERING INST CAN RESEARCH · PI KLEIN, ROBERT J. · 2012 to 2015
$1.9M
Identification of regulatory cancer risk SNPs for chemoprevention discoveryR03CA165082 · NCI · SLOAN-KETTERING INST CAN RESEARCH · PI KLEIN, ROBERT J. · 2012 to 2013
$177k
NCI NIH HHS P30 CA008748NCI NIH HHS R03 CA165082NCI NIH HHS T32 CA082088NCI NIH HHS T32 CA082088-12NHGRI NIH HHS U01 HG007033NIDDK NIH HHS DP3 DK108220NIDDK NIH HHS R01 DK087635
6 · The paper itself

Abstract

backgroundThe exonic single-nucleotide variant rs11762213 located in the MET oncogene has recently been identified as a prognostic marker in clear cell renal cell carcinoma (ccRCC). This finding was validated with The Cancer Genome Atlas (TCGA) cohort, and the biologic implications were explored.

methodsThe genotype status for rs11762213 was available for 272 patients. Paired tumor-normal data, genomic data, and clinical information were acquired from ccRCC TCGA data sets. Cancer-specific survival (CSS) was analyzed with the competing risk method, and Cox proportional hazards regression was used for the analysis of the time to recurrence (TTR). Multivariate competing risk models were fitted to adjust for the validated Mayo Clinic Stage, Size, Grade, and Necrosis (SSIGN) score.

resultsThe variant allele of rs11762213 was detected in 10.3% of the cohort. After adjustments for the SSIGN score, the risk allele remained a significant predictor for adverse CSS (hazard ratio [HR], 3.88; 95% confidence interval [CI], 1.99-7.56; P < .0001) and for TTR (OR, 2.97; 95% CI, 1.43-6.2; P = .003). The mapping of rs11762213 to regulatory regions within the genome suggested that it might affect a DNA enhancer region. RNA and protein sequencing data for MET did not reveal differences in steady-state expression with stratification by risk allele.

conclusionsThe exonic MET variant rs11762213 is an independent predictor of adverse CSS and TTR in ccRCC and should be integrated into clinical practice for prognostic stratification. Genomic analysis suggests that the single-nucleotide polymorphism may affect an enhancer region located in the coding region of MET. Further biological mechanistic interrogation is currently underway.

Indexed as

Polymorphism, Single NucleotideAgedCarcinoma, Renal CellDisease-Free SurvivalFemaleHumansKaplan-Meier EstimateKidney NeoplasmsMaleMiddle AgedNeoplasm GradingNeoplasm Recurrence, LocalNeoplasm StagingOdds RatioPredictive Value of TestsPrognosisMET protein, humanProto-Oncogene Proteins c-metbiomarkerMET oncogenerenal cell carcinomaThe Cancer Genome Atlas (TCGA)variant

Identifiers

PMID26505625
PMCPMC4803437
OpenAlexW1837902721

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.