Evidence map›Paper›PMID 23219378›Full record

ArticleThe Lancet. Oncology2013

Single nucleotide polymorphisms and risk of recurrence of renal-cell carcinoma: a cohort study.

Fabio A B Schutz, Mark M Pomerantz, Kathryn P Gray, Michael B Atkins, Jonathan E Rosenberg, Michelle S Hirsch, David F McDermott, Megan E Lampron, Gwo-Shu Mary Lee, Sabina Signoretti and 3 more

Erratum issuedOpen access · greenAbstract read
In one paragraph

Article in The Lancet. Oncology, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 32 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
32citing papers in PubMed, 3 pooled it
5.9field-weighted citation impact, top 4% 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

32 citing papers in PubMed, 3 syntheses or guidelines pooled it, 53 citations in OpenAlex.

  1. Pooled it
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  4. Article
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  6. Novel Insight Into the Role ofFrontiers in genetics · 2022
    Article
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  9. Positive epistasis between disease-causing missense mutations and silent polymorphism with effect on mRNA translation velocity.Proceedings of the National Academy of Sciences of the United States of America · 2021
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  16. Precision medicine from the renal cancer genome.Nature reviews. Nephrology · 2016
    Review
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  20. Observational
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

13 authors at 4 institutions in 1 country.

Fabio A B SchutzDana-Farber Cancer Institute, Boston, MA 02115, USA.
Mark M Pomerantz
Kathryn P Gray
Michael B Atkins
Jonathan E Rosenberg
Michelle S Hirsch
David F McDermott
Megan E Lampron
Gwo-Shu Mary Lee
Sabina Signoretti
Philip W Kantoff
Matthew L Freedman
Toni K Choueiri
Harvard University · USBeth Israel Deaconess Medical Center · USBrigham and Women's Hospital · USDana-Farber Cancer Institute · US

Funding

Treating the P13-Kinase/AKTP50CA101942 · NCI · BETH ISRAEL DEACONESS MEDICAL CENTER · PI David McDermott · 2003 to 2026
$53.4M
NCI NIH HHS P50 CA101942
6 · The paper itself

Abstract

backgroundGermline genetic polymorphisms might affect the risk of recurrence in patients with localised renal-cell carcinoma. We investigated the association between genetic polymorphisms and recurrence of renal-cell carcinoma.

methodsWe analysed germline DNA samples extracted from patients with localised renal-cell carcinoma treated at the Dana-Farber/Harvard Cancer Center (Boston, MA, USA). We selected a discovery cohort from a prospective database at the Dana-Farber/Harvard Cancer Center and selected a validation cohort from department records at the Brigham and Women's Hospital (Boston, MA, USA). We validated the findings from the discovery cohort in the validation cohort. We genotyped 70 genes involved in the pathogenesis of renal-cell carcinoma (including the VHL/HIF/VEGF and PI3K/AKT/mTOR pathways, and genes involved in immune regulation and metabolism) for single nucleotide polymorphisms. We assessed the association between genotype and recurrence-free survival, adjusted for baseline characteristics, with the Cox proportional hazards model, the Kaplan-Meier method, and the log-rank test. We used a false discovery rate q value to adjust for multiple comparisons.

findingsWe included 554 patients (403 in the discovery cohort and 151 in the validation cohort). We successfully genotyped 290 single nucleotide polymorphisms in the discovery cohort, but excluded five because they did not have a variant group for comparison. The polymorphism rs11762213, which causes a synonymous aminoacid change in MET (144G→A, located in exon 2), was associated with recurrence-free survival. Patients with one or two copies of the minor (risk) allele had an increased risk of recurrence or death (hazard ratio [HR] 1·86, 95% CI 1·17-2·95; p=0·0084) in multivariate analysis. Median recurrence-free survival for carriers of the risk allele was 19 months (95% CI 9-not reached) versus 50 months (95% CI 37-75) for patients without the risk allele. In the validation cohort the HR was 2·45 (95% CI 1·01-5·95; p=0·048).

interpretationPatients with localised renal-cell carcinoma and the MET polymorphism rs11762213 might have an increased risk of recurrence after nephrectomy. If these results are further validated in a similar population, they could be incorporated into future prognostic instruments, potentially aiding the design of adjuvant clinical trials of MET inhibitors and management of renal-cell carcinoma.

fundingConquer Cancer Foundation and American Society of Clinical Oncology (Career Development Award); The Trust Family Research Fund for Kidney Cancer; US National Institutes of Health, National Cancer Institute Kidney Cancer Specialized Program of Research Excellence.

Indexed as

Genetic Association StudiesAgedAllelesCarcinoma, Renal CellCohort StudiesFemaleGenotypeHumansKaplan-Meier EstimateMaleMiddle AgedNeoplasm Recurrence, LocalNephrectomyPolymorphism, Single NucleotideProportional Hazards ModelsProto-Oncogene Proteins c-metMET protein, humanProto-Oncogene Proteins c-met

Identifiers

PMID23219378
PMCPMC3769687
OpenAlexW2041806580

What OpenQuestion holds

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LicenceTDM
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.