Evidence map›Paper›PMID 22039442›Full record

ArticlePloS one2011

Comprehensive evaluation of one-carbon metabolism pathway gene variants and renal cell cancer risk.

Todd M Gibson, Paul Brennan, Summer Han, Sara Karami, David Zaridze, Vladimir Janout, Helen Kollarova, Vladimir Bencko, Marie Navratilova, Neonila Szeszenia-Dabrowska and 12 more

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed, 1 pooled it
1.5field-weighted citation impact, top 18% 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

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

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Review
  8. Implications of DNA Methylation in Parkinson's Disease.Frontiers in molecular neuroscience · 2017
    Review
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  10. Article
  11. Article
  12. Article
  13. Opportunities and challenges for selected emerging technologies in cancer epidemiology: mitochondrial, epigenomic, metabolomic, and telomerase profiling.Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology · 2013
    Review
  14. Article
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

22 authors at 8 institutions in 4 countries.

Todd M GibsonDivision of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, Maryland, United States of America. gibsontm@mail.nih.gov
Paul Brennan
Summer Han
Sara Karami
David Zaridze
Vladimir Janout
Helen Kollarova
Vladimir Bencko
Marie Navratilova
Neonila Szeszenia-Dabrowska
Dana Mates
Alena Slamova
Ruth M Pfeiffer
Rachael Z Stolzenberg-Solomon
Susan T Mayne
Meredith Yeager
Stephen Chanock
Nat Rothman
Wong-Ho Chow
Philip S Rosenberg
Paolo Boffetta
Lee E Moore
Division of Cancer Epidemiology and GeneticsNational Cancer Institute · USCharles University · CZPalacký University Olomouc · CZCentre International de Recherche sur le Cancer · FRIcahn School of Medicine at Mount Sinai · USMasaryk Memorial Cancer Institute · CZNofer Institute of Occupational Medicine · PL

Funding

Cancer Risk in Human PopulationsZIACP010136 · NCI · DIVISION OF CANCER EPIDEMIOLOGY AND GENETICS · PI PURDUE, MARK · 2009 to 2025
$36.7M
Yale/NCI Cooperative Training Program in Cancer EpidemiologyTU2CA105666 · NCI · YALE UNIVERSITY · PI MAYNE, SUSAN T · 2003 to 2007
$882k
Intramural NIH HHSNCI NIH HHS TU2 CA105666NCI NIH HHS TU2-CA-105666
6 · The paper itself

Abstract

introductionFolate and one-carbon metabolism are linked to cancer risk through their integral role in DNA synthesis and methylation. Variation in one-carbon metabolism genes, particularly MTHFR, has been associated with risk of a number of cancers in epidemiologic studies, but little is known regarding renal cancer.

methodsTag single nucleotide polymorphisms (SNPs) selected to produce high genomic coverage of 13 gene regions of one-carbon metabolism (ALDH1L1, BHMT, CBS, FOLR1, MTHFR, MTR, MTRR, SHMT1, SLC19A1, TYMS) and the closely associated glutathione synthesis pathway (CTH, GGH, GSS) were genotyped for 777 renal cell carcinoma (RCC) cases and 1,035 controls in the Central and Eastern European Renal Cancer case-control study. Associations of individual SNPs (n = 163) with RCC risk were calculated using unconditional logistic regression adjusted for age, sex and study center. Minimum p-value permutation (Min-P) tests were used to identify gene regions associated with risk, and haplotypes were evaluated within these genes.

resultsThe strongest associations with RCC risk were observed for SLC19A1 (P(min-P) = 0.03) and MTHFR (P(min-P) = 0.13). A haplotype consisting of four SNPs in SLC19A1 (rs12483553, rs2838950, rs2838951, and rs17004785) was associated with a 37% increased risk (p = 0.02), and exploratory stratified analysis suggested the association was only significant among those in the lowest tertile of vegetable intake.

conclusionsTo our knowledge, this is the first study to comprehensively examine variation in one-carbon metabolism genes in relation to RCC risk. We identified a novel association with SLC19A1, which is important for transport of folate into cells. Replication in other populations is required to confirm these findings.

Indexed as

CarbonOligonucleotide Array Sequence AnalysisOryzaTranscriptomeCarbon

Identifiers

PMID22039442
PMCPMC3198392
OpenAlexW2072126757

What OpenQuestion holds

Textmetadata
LicenceCC0
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.