Evidence map›Paper›PMID 20056641›Full record

ArticleCancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology2010

Multiple genetic variants in telomere pathway genes and breast cancer risk.

Jing Shen, Marilie D Gammon, Hui-Chen Wu, Mary Beth Terry, Qiao Wang, Patrick T Bradshaw, Susan L Teitelbaum, Alfred I Neugut, Regina M Santella

Open access · bronzeAbstract read
In one paragraph

Article in Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 36 papers, 5 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
36citing papers in PubMed, 5 pooled it
3.4field-weighted citation impact, top 8% 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

36 citing papers in PubMed, 5 syntheses or guidelines pooled it, 53 citations in OpenAlex.

  1. Pooled it
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  3. Telomere reverse transcriptase (TERT) rs2735940 increases cancer risk.Medical science monitor : international medical journal of experimental and clinical research · 2015
    Pooled it
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  11. Telomere Length as a New Risk Marker of Early-Onset Colorectal Cancer.International journal of molecular sciences · 2023
    Article
  12. Article
  13. Telomeres and Cancer.Life (Basel, Switzerland) · 2021
    Review
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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

9 authors at 2 institutions in 1 country.

Jing ShenDepartment of Environmental Health Sciences, Mailman School of Public Health, Columbia University, 630 West 168th Street, P&S 19-418, New York, NY 10032, USA. js2182@columbia.edu
Marilie D Gammon
Hui-Chen Wu
Mary Beth Terry
Qiao Wang
Patrick T Bradshaw
Susan L Teitelbaum
Alfred I Neugut
Regina M Santella
University of North Carolina at Chapel Hill · USColumbia University · US

Funding

True Metal fac coreP30ES009089 · NIEHS · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI MATTHEW S PERZANOWSKI · 1998 to 2026
$44.7M
UNC-CH CENTER FOR ENVIRONMENTAL HEALTH &SUSCEPTIBILITYP30ES010126 · NIEHS · UNIV OF NORTH CAROLINA CHAPEL HILL · PI Melissa A. Troester · 2001 to 2026
$36.3M
BREAST CANCER AND THE ENVIRONMENT ON LONG ISLANDU01CA066572 · NCI · UNIVERSITY OF NORTH CAROLINA CHAPEL HILL · PI GAMMON, MARILIE D · 1995 to 2004
$1.7M
Telomere dysfunction, oxidative damage and breast cancer riskR03CA125768 · NCI · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI SHEN, JING · 2006 to 2007
$171k
NCI NIH HHS R03 CA125768NCI NIH HHS R03CA125768NCI NIH HHS U01 CA066572NCI NIH HHS U01CA/ES66572NIEHS NIH HHS P30 ES009089NIEHS NIH HHS P30ES009089NIEHS NIH HHS P30 ES010126NIEHS NIH HHS P30ES10126
6 · The paper itself

Abstract

purposeTo explore the etiologic role of genetic variants in telomere pathway genes and breast cancer risk.

methodsA population-based case-control study, the Long Island Breast Cancer Study Project, was conducted, and 1,067 cases and 1,110 controls were included in the present study. Fifty-two genetic variants of nine telomere-related genes were genotyped.

resultsSeven single nucleotide polymorphisms (SNP) showed significant case-control differences at the level of P < 0.05. The top three statistically significant SNPs under a dominant model were TERT-07 (rs2736109), TERT-54 (rs3816659), and POT1-03 (rs33964002). The odds ratios (OR) were 1.56 [95% confidence interval (95% CI), 1.22-1.99] for the TERT-07 G-allele, 1.27 (95% CI, 1.05-1.52) for the TERT-54 T-allele, and 0.79 (95% CI, 0.67-0.95) for the POT1-03 A-allele. TERT-67 (rs2853669) was statistically significant under a recessive model; the OR of the CC genotype was 0.69 (95% CI, 0.69-0.93) compared with the T-allele. However, none of the SNPs retained significance after Bonferroni adjustment for multiple testing at the level of P < 0.001 (0.05/52) except for TERT-07. When restricted to Caucasians (94% of the study subjects), a stronger association for the TERT-07 G-allele was observed with an OR of 1.60 (95% CI, 1.24-2.05; P = 0.0002). No effect modifications were found for variant alleles and menopausal status, telomere length, cigarette smoking, body mass index status, and family history of breast cancer risk.

conclusionsFour SNPs in the TERT and POT1 genes were significantly related with overall breast cancer risk. This initial analysis provides valuable clues for further exploration of the biological role of telomere pathway genes in breast cancer.

Indexed as

Genetic Predisposition to DiseaseBiomarkers, TumorBreast NeoplasmsCase-Control StudiesFemaleHumansPolymerase Chain ReactionPolymorphism, Single NucleotideRisk FactorsShelterin ComplexTelomereTelomere-Binding ProteinsBiomarkers, TumorPOT1 protein, humanShelterin ComplexTelomere-Binding Proteins

Identifiers

PMID20056641
PMCPMC2805470
OpenAlexW2114839347

What OpenQuestion holds

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Read underepoch 390

Registered trials

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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.