Evidence map›Paper›PMID 22232737›Full record

ArticleCancer research2012

Novel genetic markers of breast cancer survival identified by a genome-wide association study.

Xiao Ou Shu, Jirong Long, Wei Lu, Chun Li, Wendy Y Chen, Ryan Delahanty, Jiarong Cheng, Hui Cai, Ying Zheng, Jiajun Shi and 6 more

Abstract read
In one paragraph

Article in Cancer research, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 46 papers, 9 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
46citing papers in PubMed, 9 pooled it
–field-weighted citation impact
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

46 citing papers in PubMed, 9 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Polymorphism at 19q13.41 Predicts Breast Cancer Survival Specifically after Endocrine Therapy.Clinical cancer research : an official journal of the American Association for Cancer Research · 2015
    Pooled it
  4. Pooled it
  5. Identification of novel genetic markers of breast cancer survival.Journal of the National Cancer Institute · 2015
    Pooled it
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  10. Article
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  17. Genome-Wide Association Study Identifies a Genetic Prediction Model for Postoperative Survival in Patients with Hepatocellular Carcinoma.Medical science monitor : international medical journal of experimental and clinical research · 2019
    Article
  18. Polymorphisms in Survivin (Journal of oncology · 2019
    Article
  19. Disease markers · 2019
    Article
  20. 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

16 authors.

Xiao Ou ShuDivision of Epidemiology, Department of Medicine, Vanderbilt Epidemiology Center, Vanderbilt University School of Medicine, Nashville, Tennessee 37203, USA. xiao-ou.shu@vanderbilt.edu
Jirong Long
Wei Lu
Chun Li
Wendy Y Chen
Ryan Delahanty
Jiarong Cheng
Hui Cai
Ying Zheng
Jiajun Shi
Kai Gu
Wen-Jing Wang
Peter Kraft
Yu-Tang Gao
Qiuyin Cai
Wei Zheng

Funding

Tumor Immunology and Microenvironment Research ProgramP30CA068485 · NCI · VANDERBILT UNIVERSITY MEDICAL CENTER · PI MATTHEW J TYSKA · 1995 to 2026
$172.8M
Technologies and Resources CoreU54MD007593 · NIMHD · MEHARRY MEDICAL COLLEGE · PI ADUNYAH, SAMUEL EVANS · 2012 to 2018
$24.7M
Translational Pathology CoreU54CA163069 · NCI · MEHARRY MEDICAL COLLEGE · PI BALLARD, BILLY RAY · 2011 to 2025
$18.8M
Shanghai Breast Cancer StudyR01CA064277 · NCI · VANDERBILT UNIVERSITY · PI SHU, XIAO-OU · 1996 to 2012
$4.8M
MOLECULAR EPIDEMIOLOGIC STUDY OF BREAST CANCERR01CA090899 · NCI · VANDERBILT UNIVERSITY · PI ZHENG, WEI · 2000 to 2009
$3.5M
Consortium Study to Identify Breast Cancer Susceptibility LociR01CA148667 · NCI · VANDERBILT UNIVERSITY MEDICAL CENTER · PI LONG, JIRONG, ZHENG, WEI · 2011 to 2015
$3.3M
Genetic Factors for Breast Cancer- A genome Wide StudyR01CA124558 · NCI · VANDERBILT UNIVERSITY · PI ZHENG, WEI · 2008 to 2012
$3.1M
Breast Cancer Survival: Lifestyle and Genetic DeterminantsR01CA118229 · NCI · VANDERBILT UNIVERSITY · PI SHU, XIAO-OU · 2007 to 2010
$2.9M
Role of Shh in developmental patterning and proliferation of digit skeletonZ01BC011118 · NCI · DIVISION OF BASIC SCIENCES - NCI · PI MACKEM, SUSAN · 2008 to 2008
$297k
Intramural NIH HHS Z01 BC011118NCI NIH HHS P30 CA068485NCI NIH HHS P30 CA68485NCI NIH HHS R01 CA064277NCI NIH HHS R01CA064277NCI NIH HHS R01 CA090899NCI NIH HHS R01CA090899NCI NIH HHS R01 CA118229NCI NIH HHS R01CA118229NCI NIH HHS R01 CA124558NCI NIH HHS R01CA124558NCI NIH HHS R01 CA148667NCI NIH HHS U54 CA163069NIMHD NIH HHS U54 MD007593
6 · The paper itself

Abstract

Only two genome-wide association studies (GWAS) have been conducted to date to identify potential markers for total mortality after diagnosis of breast cancer. Here, we report the identification of two single-nucleotide polymorphisms (SNP) associated with total mortality from a two-stage GWAS conducted among 6,110 Shanghai-resident Chinese women with tumor-node-metastasis (TNM) stage I to IV breast cancer. The discovery stage included 1,950 patients and evaluated 613,031 common SNPs. The top 49 associations were evaluated in an independent replication stage of 4,160 Shanghai patients with breast cancer. A consistent and highly significant association with total mortality was documented for SNPs rs3784099 and rs9934948. SNP rs3784099, located in the RAD51L1 gene, was associated with total morality in both the discovery stage (P = 1.44 × 10(-8)) and replication stage (P = 0.06; P-combined = 1.17 × 10(-7)). Adjusted HRs for total mortality were 1.41 [95% confidence interval (CI), 1.18-1.68] for the AG genotype and 2.64 (95% CI, 1.74-4.03) for the AA genotype, when compared with the GG genotype. The variant C allele of rs9934948, located on chromosome 16, was associated with a similarly elevated risk of total mortality (P-combined = 5.75 × 10(-6)). We also observed this association among 1,145 patients with breast cancer of European ancestry from the Nurses' Health Study (NHS; P = 0.006); the association was highly significant in a combined analysis of NHS and Chinese data (P = 1.39 × 10(-7)). Similar associations were observed for these two SNPs with breast cancer-specific mortality. This study provides strong evidence suggesting that the RAD51L1 gene and a chromosome 16 locus influence breast cancer prognosis.

Indexed as

Genetic MarkersPolymorphism, Single NucleotideAdultAgedAsian PeopleBreast NeoplasmsChromosomes, Human, Pair 16DNA-Binding ProteinsFemaleGenome-Wide Association StudyHumansMiddle AgedWhite PeopleDNA-Binding ProteinsGenetic MarkersRAD51B protein, human

Identifiers

PMID22232737
PMCPMC3294129

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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.