Evidence map›Paper›PMID 17683074›Full record

ArticleMolecular carcinogenesis2008

Polymorphisms in drug metabolism genes, smoking, and p53 mutations in breast cancer.

Beth O Van Emburgh, Jennifer J Hu, Edward A Levine, Libyadda J Mosley, L Douglas Case, Hui-Yi Lin, Sommer N Knight, Nancy D Perrier, Peter Rubin, Gary B Sherrill and 7 more

Abstract read
In one paragraph

Article in Molecular carcinogenesis, 2008. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
0.9field-weighted citation impact, top 26% 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

13 citing papers in PubMed, 22 citations in OpenAlex.

  1. TP53, SPOP and PIK3CA Genes Status in Prostate Cancer.Asian Pacific journal of cancer prevention : APJCP · 2020
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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

17 authors at 7 institutions in 1 country.

Beth O Van EmburghDepartment of Cancer Biology, Wake Forest University School of Medicine, Winston-Salem, North Carolina 27157, USA.
Jennifer J Hu
Edward A Levine
Libyadda J Mosley
L Douglas Case
Hui-Yi Lin
Sommer N Knight
Nancy D Perrier
Peter Rubin
Gary B Sherrill
Cindy S Shaw
Lisa A Carey
Lynda R Sawyer
Glenn O Allen
Clara Milikowski
Mark C Willingham
Mark Steven Miller
Wake Forest University · USUniversity of Miami · USCone Health · USUniversity of North Carolina at Chapel Hill · USRegional Cancer Center · USThe University of Texas MD Anderson Cancer Center · USUniversity of Alabama at Birmingham · US

Funding

Tissue Procurement & PathologyP50CA058223 · NCI · UNIV OF NORTH CAROLINA CHAPEL HILL · PI KATHERINE A. HOADLEY · 1992 to 2026
$59.3M
Tumor Tissue CoreP30CA012197 · NCI · WAKE FOREST UNIVERSITY HEALTH SCIENCES · PI Ruben A. Mesa · 1985 to 2026
$55.4M
Zonisamide in Patients with Neuropathic Pain Associated with Diabetic NeuropathyM01RR000046 · NCRR · UNIV OF NORTH CAROLINA CHAPEL HILL · PI JOY, MELANIE S · 1985 to 2008
$38.5M
Training Program in Cancer BiologyT32CA079448 · NCI · WAKE FOREST UNIVERSITY HEALTH SCIENCES · PI KRIDEL, STEVEN J. · 2000 to 2014
$6.5M
METABOLIC GENOTYPES &ONCOGENIC DAMAGE IN BREAST CANCERR01CA081330 · NCI · WAKE FOREST UNIVERSITY HEALTH SCIENCES · PI MILLER, MARK STEVEN · 2000 to 2004
$1.5M
Molecular Epidemiology and Prevention of Breast CancerR01CA073629 · NCI · WAKE FOREST UNIVERSITY HEALTH SCIENCES · PI HU, JENNIFER J. · 2003 to 2007
$1.3M
MOLECULAR EPIDEMIOLOGY AND PREVENTION OF BREAST CANCERR29CA073629 · NCI · WAKE FOREST UNIVERSITY HEALTH SCIENCES · PI HU, JENNIFER J · 1997 to 2001
$253k
NCI NIH HHS CA58223NCI NIH HHS P30 CA012197NCI NIH HHS P30 CA12197NCI NIH HHS P50 CA058223NCI NIH HHS R01 CA073629NCI NIH HHS R01 CA081330NCI NIH HHS R01 CA81330NCI NIH HHS R01 CA CA73629NCI NIH HHS R29 CA073629NCI NIH HHS T32 CA079448NCI NIH HHS T32 CA79448NCRR NIH HHS M01 RR000046NCRR NIH HHS M01RR00046
6 · The paper itself

Abstract

Polymorphisms in phase I and phase II enzymes may enhance the occurrence of mutations at critical tumor suppressor genes, such as p53, and increase breast cancer risk by either increasing the activation or detoxification of carcinogens and/or endogenous estrogens. We analyzed polymorphisms in CYP1B1, GSTM1, GSTT1, and GSTP1 and p53 mutations in 323 breast tumor samples. Approximately 11% of patients exhibited mutations in p53. Women with mutations had a significantly younger age of diagnosis (P = 0.01) and a greater incidence of tumors classified as stage II or higher (P = 0.002). More women with mutations had a history of smoking (55%) compared to women without mutations (39%). Although none of the genotypes alone were associated with p53 mutations, positive smoking history was associated with p53 mutations in women with the GSTM1 null allele [OR = 3.54; 95% CI = 0.97-12.90 P = 0.06] compared to women with the wild-type genotype and smoking history [OR = 0.62, 95% CI = 0.19-2.07], although this association did not reach statistical significance. To test for gene-gene interactions, our exploratory analysis in the Caucasian cases suggested that individuals with the combined GSTP1 105 VV, CYP1B1 432 LV/VV, and GSTM1 positive genotype were more likely to harbor mutations in p53 [OR = 4.94; 95% CI = 1.11-22.06]. Our results suggest that gene-smoking and gene-gene interactions may impact the prevalence of p53 mutations in breast tumors. Elucidating the etiology of breast cancer as a consequence of common genetic polymorphisms and the genotoxic effects of smoking will enable us to improve the design of prevention strategies, such as lifestyle modifications, in genetically susceptible subpopulations.

Indexed as

Genes, p53MutationPolymorphism, GeneticAdultAgedBase SequenceBreast NeoplasmsDNA PrimersFemaleGenotypeHumansMiddle AgedPolymerase Chain ReactionPolymorphism, Single-Stranded ConformationalSmokingDNA Primers

Identifiers

PMID17683074
PMCPMC3722359
OpenAlexW2161950078

What OpenQuestion holds

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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.