Evidence map›Paper›PMID 28921573›Full record

ArticleInternational journal of cancer2018

Contralateral breast cancers: Independent cancers or metastases?

Colin B Begg, Irina Ostrovnaya, Felipe C Geyer, Anastasios D Papanastasiou, Charlotte K Y Ng, Rita A Sakr, Jonine L Bernstein, Kathleen A Burke, Tari A King, Salvatore Piscuoglio and 6 more

Abstract read
In one paragraph

Article in International journal of cancer, 2018. 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. Identifying Locally Recurrent Versus Second Primary Breast Cancer: Genomic Versus Clinical Criteria from Carolina Breast Cancer Study Phase III.Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology · 2026
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  14. 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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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.

Colin B BeggDepartment of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, New York, NY.ORCID 0000-0003-3772-1795
Irina OstrovnayaDepartment of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, New York, NY.
Felipe C GeyerDepartment of Pathology, Memorial Sloan Kettering Cancer Center, New York, NY.ORCID 0000-0002-9625-2346
Anastasios D PapanastasiouDepartment of Pathology, Memorial Sloan Kettering Cancer Center, New York, NY.
Charlotte K Y NgDepartment of Pathology, Memorial Sloan Kettering Cancer Center, New York, NY.
Rita A SakrBreast Service, Department of Surgery, Memorial Sloan Kettering Cancer Center, New York, NY.
Jonine L BernsteinDepartment of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, New York, NY.
Kathleen A BurkeDepartment of Pathology, Memorial Sloan Kettering Cancer Center, New York, NY.
Tari A KingBreast Service, Department of Surgery, Dana-Farber Cancer Institute/Brigham and Women's Hospital, Boston, MA USA.
Salvatore PiscuoglioDepartment of Pathology, Memorial Sloan Kettering Cancer Center, New York, NY.
Audrey MauguenDepartment of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, New York, NY.
Irene OrlowDepartment of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, New York, NY.
Britta WeigeltDepartment of Pathology, Memorial Sloan Kettering Cancer Center, New York, NY.
Venkatraman E SeshanDepartment of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, New York, NY.
Monica MorrowBreast Service, Department of Surgery, Memorial Sloan Kettering Cancer Center, New York, NY.
Jorge S Reis-FilhoDepartment of Pathology, Memorial Sloan Kettering Cancer Center, New York, NY.

Funding

X-RAY CRYSTALLOGRAPHYP30CA008748 · NCI · SLOAN-KETTERING INSTITUTE FOR CANCER RES · PI Nicholas D Socci · 1985 to 2026
$347.4M
Statistical Strategies for Establishing Etiologic Heterogeneity of TumorsR01CA163251 · NCI · SLOAN-KETTERING INST CAN RESEARCH · PI BEGG, COLIN B · 2012 to 2015
$1.5M
NCI NIH HHS P30 CA008748NCI NIH HHS R01 CA163251
6 · The paper itself

Abstract

A cancer in the contralateral breast in a woman with a previous or synchronous breast cancer is typically considered to be an independent primary tumor. Emerging evidence suggests that in a small subset of these cases the second tumor represents a metastasis. We sought to investigate the issue using massively parallel sequencing targeting 254 genes recurrently mutated in breast cancer. We examined the tumor archives at Memorial Sloan Kettering Cancer Center for the period 1995-2006 to identify cases of contralateral breast cancer where surgery for both tumors was performed at the Center. We report results from 49 patients successfully analyzed by a targeted massively parallel sequencing assay. Somatic mutations and copy number alterations were defined by state-of-the-art algorithms. Clonal relatedness was evaluated by statistical tests specifically designed for this purpose. We found evidence that the tumors in contralateral breasts were clonally related in three cases (6%) on the basis of matching mutations at codons where somatic mutations are rare. Clinical data and the presence of similar patterns of gene copy number alterations were consistent with metastasis for all three cases. In three additional cases, there was a solitary matching mutation at a common PIK3CA locus. The results suggest that a subset of contralateral breast cancers represent metastases rather than independent primary tumors. Massively parallel sequencing analysis can provide important evidence to clarify the diagnosis. However, given the inter-tumor mutational heterogeneity in breast cancer, sufficiently large gene panels need to be employed to define clonality convincingly in all cases.

Indexed as

Biomarkers, TumorBreast NeoplasmsDNA Copy Number VariationsFemaleHigh-Throughput Nucleotide SequencingHumansLymphatic MetastasisMutationNeoplasms, Second PrimaryBiomarkers, Tumorbilateral breast cancerclonalitynext generation sequencing

Identifiers

PMID28921573
PMCPMC5749409

What OpenQuestion holds

Textmetadata
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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.