Evidence map›Paper›PMID 25490678›Full record

ArticleBritish journal of cancer2014

Mutational profiling of familial male breast cancers reveals similarities with luminal A female breast cancer with rare TP53 mutations.

S Deb, S Q Wong, J Li, H Do, J Weiss, D Byrne, A Chakrabarti, T Bosma, kConFab Investigators, A Fellowes and 2 more

Open access · hybridAbstract read
In one paragraph

Article in British journal of cancer, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed, 2 pooled it
2.6field-weighted citation impact, top 10% 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

14 citing papers in PubMed, 2 syntheses or guidelines pooled it, 22 citations in OpenAlex.

  1. Pooled it
  2. Statistical genomics in rare cancer.Seminars in cancer biology · 2020
    Pooled it
  3. Article
  4. Article
  5. Review
  6. Article
  7. Review
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. The Genomic Landscape of Male Breast Cancers.Clinical cancer research : an official journal of the American Association for Cancer Research · 2016
    Article
  14. Mutation distributions and clinical correlations of PIK3CA gene mutations in breast cancer.Tumour biology : the journal of the International Society for Oncodevelopmental Biology and Medicine · 2016
    Review
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

12 authors at 3 institutions in 2 countries.

S Deb1] Department of Molecular Pathology, Peter MacCallum Cancer Centre, East Melbourne, VIC 3002, Australia [2] Sir Peter MacCallum Department of Oncology, The University of Melbourne, Parkville, VIC 3010, Australia [3] Department of Pathology, University of Melbourne, Parkville, VIC 3010, Australia.
S Q WongDepartment of Molecular Pathology, Peter MacCallum Cancer Centre, East Melbourne, VIC 3002, Australia.
J LiDepartment of Bioinformatics, Cancer Research Division, Peter MacCallum Cancer Centre, East Melbourne, VIC 3002, Australia.
H DoTranslational Genomics and Epigenomics Laboratory, Ludwig Institute for Cancer Research, Olivia Newton-John Cancer and Wellness Centre, Heidelberg, VIC 3084, Australia.
J WeissTranslational Genomics and Epigenomics Laboratory, Ludwig Institute for Cancer Research, Olivia Newton-John Cancer and Wellness Centre, Heidelberg, VIC 3084, Australia.
D ByrneDepartment of Molecular Pathology, Peter MacCallum Cancer Centre, East Melbourne, VIC 3002, Australia.
A ChakrabartiMetastasis Research Laboratory, Peter MacCallum Cancer Centre, East Melbourne, VIC 3002, Australia.
T BosmaMolecular Diagnostics, Department of Pathology, Peter MacCallum Cancer Centre, East Melbourne, VIC 3002, Australia.
kConFab Investigators
A FellowesMolecular Diagnostics, Department of Pathology, Peter MacCallum Cancer Centre, East Melbourne, VIC 3002, Australia.
A Dobrovic1] Department of Molecular Pathology, Peter MacCallum Cancer Centre, East Melbourne, VIC 3002, Australia [2] Translational Genomics and Epigenomics Laboratory, Ludwig Institute for Cancer Research, Olivia Newton-John Cancer and Wellness Centre, Heidelberg, VIC 3084, Australia.
S B Fox1] Department of Molecular Pathology, Peter MacCallum Cancer Centre, East Melbourne, VIC 3002, Australia [2] Sir Peter MacCallum Department of Oncology, The University of Melbourne, Parkville, VIC 3010, Australia [3] Department of Pathology, University of Melbourne, Parkville, VIC 3010, Australia.
Peter MacCallum Cancer Centre · AULudwig Cancer Research · AUThe University of Melbourne · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMale breast cancer (MBC) is still poorly understood with a large proportion arising in families with a history of breast cancer. Genomic studies have focused on germline determinants of MBC risk, with minimal knowledge of somatic changes in these cancers.

methodsUsing a TruSeq amplicon cancer panel, this study evaluated 48 familial MBCs (3 BRCA1 germline mutant, 17 BRCA2 germline mutant and 28 BRCAX) for hotspot somatic mutations and copy number changes in 48 common cancer genes.

resultsTwelve missense mutations included nine PIK3CA mutations (seven in BRCAX patients), two TP53 mutations (both in BRCA2 patients) and one PTEN mutation. Common gains were seen in GNAS (34.1%) and losses were seen in GNAQ (36.4%), ABL1 (47.7%) and ATM (34.1%). Gains of HRAS (37.5% vs 3%, P=0.006), STK11 (25.0% vs 0%, P=0.01) and SMARCB1 (18.8% vs 0%, P=0.04) and the loss of RB1 (43.8% vs 13%, P=0.03) were specific to BRCA2 tumours.

conclusionsThis study is the first to perform high-throughput somatic sequencing on familial MBCs. Overall, PIK3CA mutations are most commonly seen, with fewer TP53 and PTEN mutations, similar to the profile seen in luminal A female breast cancers. Differences in mutation profiles and patterns of gene gains/losses are seen between BRCA2 (associated with TP53/PTEN mutations, loss of RB1 and gain of HRAS, STK11 and SMARCB1) and BRCAX (associated with PIK3CA mutations) tumours, suggesting that BRCA2 and BRCAX MBCs may be distinct and arise from different tumour pathways. This has implications on potential therapies, depending on the BRCA status of MBC patients.

Indexed as

Genes, p53MutationBRCA1 ProteinBRCA2 ProteinBreast Neoplasms, MaleDNA Mutational AnalysisFemaleGenetic Predisposition to DiseaseHigh-Throughput Nucleotide SequencingHumansMalePTEN PhosphohydrolaseTumor Suppressor Protein p53BRCA1 ProteinBRCA2 ProteinPTEN PhosphohydrolasePTEN protein, humanTP53 protein, humanTumor Suppressor Protein p53

Identifiers

PMID25490678
PMCPMC4264438
OpenAlexW2059079705

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-SA
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.