Evidence map›Paper›PMID 26378809›Full record

ArticleOncotarget2015

Comparative genomic analysis reveals bilateral breast cancers are genetically independent.

Fangfang Song, Xiangchun Li, Fengju Song, Yanrui Zhao, Haixin Li, Hong Zheng, Zhibo Gao, Jun Wang, Wei Zhang, Kexin Chen

Open access · diamondAbstract readComparative Study
In one paragraph

Article in Oncotarget, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed
1.3field-weighted citation impact, top 22% 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

18 citing papers in PubMed, 27 citations in OpenAlex.

  1. Article
  2. Analysis of Shared Variants between Cancer Biospecimens.Clinical cancer research : an official journal of the American Association for Cancer Research · 2025
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  13. Article
  14. Genomic imbalances andMolecular and clinical oncology · 2017
    Article
  15. Article
  16. Metastatic triple-negative breast cancer patient withCold Spring Harbor molecular case studies · 2017
    Article
  17. Article
  18. 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

10 authors at 4 institutions in 2 countries.

Fangfang SongDepartment of Epidemiology and Biostatistics, Tianjin Medical University Cancer Institute and Hospital, National Clinical Research Center of Cancer, Key Laboratory of Cancer Prevention and Therapy, Tianjin, China.
Xiangchun LiBGI-Shenzhen, Shenzhen, China.
Fengju SongDepartment of Epidemiology and Biostatistics, Tianjin Medical University Cancer Institute and Hospital, National Clinical Research Center of Cancer, Key Laboratory of Cancer Prevention and Therapy, Tianjin, China.
Yanrui ZhaoDepartment of Epidemiology and Biostatistics, Tianjin Medical University Cancer Institute and Hospital, National Clinical Research Center of Cancer, Key Laboratory of Cancer Prevention and Therapy, Tianjin, China.
Haixin LiDepartment of Epidemiology and Biostatistics, Tianjin Medical University Cancer Institute and Hospital, National Clinical Research Center of Cancer, Key Laboratory of Cancer Prevention and Therapy, Tianjin, China.
Hong ZhengDepartment of Epidemiology and Biostatistics, Tianjin Medical University Cancer Institute and Hospital, National Clinical Research Center of Cancer, Key Laboratory of Cancer Prevention and Therapy, Tianjin, China.
Zhibo GaoBGI-Shenzhen, Shenzhen, China.
Jun WangBGI-Shenzhen, Shenzhen, China.
Wei ZhangDepartment of Pathology, University of Texas MD Anderson Cancer Center, Houston, Texas, USA.
Kexin ChenDepartment of Epidemiology and Biostatistics, Tianjin Medical University Cancer Institute and Hospital, National Clinical Research Center of Cancer, Key Laboratory of Cancer Prevention and Therapy, Tianjin, China.
Tianjin Medical University Cancer Institute and Hospital · CNBeijing Institute of Genomics · CNBGI Group (China) · CNThe University of Texas MD Anderson Cancer Center · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Bilateral breast cancer (BBC) poses a major challenge for oncologists because of the cryptic relationship between the two lesions. The purpose of this study was to determine the origin of the contralateral breast cancer (either dependent or independent of the index tumor). Here, we used ultra-deep whole-exome sequencing and array comparative genomic hybridization (aCGH) to study four paired samples of BBCs with different tumor subtypes and time intervals between the developments of each tumor. We used two paired primary breast tumors and corresponding metastatic liver lesions as the control. We tested the origin independent nature of BBC in three ways: mutational concordance, mutational signature clustering, and clonality analysis using copy number profiles. We found that the paired BBC samples had near-zero concordant mutation rates, which were much lower than those of the paired primary/metastasis samples. The results of a mutational signature analysis also suggested that BBCs are independent of one another. A clonality analysis using aCGH data further revealed that paired BBC samples was clonally independent, in contrast to clonal related origin found for paired primary/metastasis samples. Our preliminary findings show that BBCs in Han Chinese women are origin independent and thus should be treated separately.

Indexed as

Comparative Genomic HybridizationDNA Copy Number VariationsAdultBreast NeoplasmsDNA Mutational AnalysisFemaleFollow-Up StudiesGenomicsHigh-Throughput Nucleotide SequencingHumansMiddle AgedMutationNeoplasm GradingNeoplasm StagingPrognosisReal-Time Polymerase Chain ReactionRNA, Messengerarray comparative genomic hybridizationbilateral breast cancerclonalityexome sequencinggenetic concordance

Identifiers

PMID26378809
PMCPMC4741642
OpenAlexW1845542724

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.