Evidence map›Paper›PMID 29116104›Full record

ArticleScientific reports2017

Germline copy number variations are associated with breast cancer risk and prognosis.

Mahalakshmi Kumaran, Carol E Cass, Kathryn Graham, John R Mackey, Roland Hubaux, Wan Lam, Yutaka Yasui, Sambasivarao Damaraju

Abstract read
In one paragraph

Article in Scientific reports, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 41 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
41citing papers in PubMed, 1 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

41 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Observational
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  8. Article
  9. Cells · 2024
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  19. Integration of DNA Microarray with Clinical and Genomic Data.Methods in molecular biology (Clifton, N.J.) · 2022
    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

8 authors.

Mahalakshmi KumaranDepartment of Laboratory Medicine and Pathology, University of Alberta, Edmonton, AB, Canada.
Carol E CassDepartment of Oncology, University of Alberta, Edmonton, Alberta, Canada.
Kathryn GrahamDepartment of Oncology, University of Alberta, Edmonton, Alberta, Canada.
John R MackeyDepartment of Oncology, University of Alberta, Edmonton, Alberta, Canada.
Roland HubauxDepartment of Integrative Oncology, British Columbia Cancer Agency, Vancouver, BC, Canada.ORCID 0000-0002-3251-4028
Wan LamDepartment of Integrative Oncology, British Columbia Cancer Agency, Vancouver, BC, Canada.
Yutaka YasuiSchool of Public Health, University of Alberta, Edmonton, Alberta, Canada.
Sambasivarao DamarajuDepartment of Laboratory Medicine and Pathology, University of Alberta, Edmonton, AB, Canada. sdamaraj@ualberta.ca.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Breast cancer is one of the most common cancers among women, and susceptibility is explained by genetic, lifestyle and environmental components. Copy Number Variants (CNVs) are structural DNA variations that contribute to diverse phenotypes via gene-dosage effects or cis-regulation. In this study, we aimed to identify germline CNVs associated with breast cancer susceptibility and their relevance to prognosis. We performed whole genome CNV genotyping in 422 cases and 348 controls using Human Affymetrix SNP 6 array. Principal component analysis for population stratification revealed 84 outliers leaving 366 cases and 320 controls of Caucasian ancestry for association analysis; CNVs with frequency > 10% and overlapping with protein coding genes were considered for breast cancer risk and prognostic relevance. Coding genes within the CNVs identified were interrogated for gene- dosage effects by correlating copy number status with gene expression profiles in breast tumor tissue. We identified 200 CNVs associated with breast cancer (q-value < 0.05). Of these, 21 CNV regions (overlapping with 22 genes) also showed association with prognosis. We validated representative CNVs overlapping with APOBEC3B and GSTM1 genes using the TaqMan assay. Germline CNVs conferred dosage effects on gene expression in breast tissue. The candidate CNVs identified in this study warrant independent replication.

Indexed as

DNA Copy Number VariationsPolymorphism, Single NucleotideAdultBiomarkers, TumorBreastBreast NeoplasmsCase-Control StudiesFemaleFollow-Up StudiesGenetic Predisposition to DiseaseGenome-Wide Association StudyHumansMiddle AgedNeoplasm InvasivenessPrognosisSurvival RateBiomarkers, Tumor

Identifiers

PMID29116104
PMCPMC5677082

What OpenQuestion holds

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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.