Evidence map›Paper›PMID 31340200›Full record

ArticleEndocrine-related cancer2019

The molecular genetic make-up of male breast cancer.

Cathy B Moelans, Joep de Ligt, Petra van der Groep, Pjotr Prins, Nicolle J M Besselink, Marlous Hoogstraat, Natalie D Ter Hoeve, Miangela M Lacle, Robert Kornegoor, Carmen C van der Pol and 15 more

Open access · bronzeAbstract read
In one paragraph

Article in Endocrine-related cancer, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers.

0numbers the graph read from it
0cells of the map it votes in
29citing papers in PubMed
5.6field-weighted citation impact, top 4% 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

29 citing papers in PubMed, 49 citations in OpenAlex.

  1. Trial
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  11. Article
  12. Exploring the One Health Paradigm in Male Breast Cancer.Journal of mammary gland biology and neoplasia · 2024
    Review
  13. Review
  14. Risk factors for male breast cancer.American journal of translational research · 2023
    Review
  15. Review
  16. Article
  17. Article
  18. Male breast cancer: an update.Virchows Archiv : an international journal of pathology · 2022
    Review
  19. Article
  20. 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

25 authors at 11 institutions in 2 countries.

Cathy B MoelansDepartment of Pathology, University Medical Center Utrecht, Utrecht University, Utrecht, The Netherlands.
Joep de LigtDepartment of Biomedical Genetics, University Medical Center Utrecht, Utrecht University, Utrecht, The Netherlands.
Petra van der GroepDepartment of Pathology, University Medical Center Utrecht, Utrecht University, Utrecht, The Netherlands.
Pjotr PrinsDepartment of Biomedical Genetics, University Medical Center Utrecht, Utrecht University, Utrecht, The Netherlands.
Nicolle J M BesselinkDepartment of Biomedical Genetics, University Medical Center Utrecht, Utrecht University, Utrecht, The Netherlands.
Marlous HoogstraatDepartment of Biomedical Genetics, University Medical Center Utrecht, Utrecht University, Utrecht, The Netherlands.
Natalie D Ter HoeveDepartment of Pathology, University Medical Center Utrecht, Utrecht University, Utrecht, The Netherlands.
Miangela M LacleDepartment of Pathology, University Medical Center Utrecht, Utrecht University, Utrecht, The Netherlands.
Robert KornegoorDepartment of Pathology, Gelre Ziekenhuizen, Appeldoorn, The Netherlands.
Carmen C van der PolCancer Center, University Medical Center Utrecht, Utrecht University, Utrecht, The Netherlands.
Wendy W J de LengDepartment of Pathology, University Medical Center Utrecht, Utrecht University, Utrecht, The Netherlands.
Ellis BarbéDepartment of Pathology, VU University Medical Center, Amsterdam, The Netherlands.
Bert van der VegtDepartment of Pathology, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands.
John MartensDepartment of Medical Oncology, Daniel den Hoed Cancer Center, Erasmus University Medical Center, Rotterdam, The Netherlands.
Peter BultDepartment of Pathology, Radboud University Medical Center, Nijmegen, The Netherlands.
Vincent T H B M SmitDepartment of Pathology, LUMC, Leiden, The Netherlands.
Marco J KoudijsDepartment of Biomedical Genetics, University Medical Center Utrecht, Utrecht University, Utrecht, The Netherlands.
Isaac J NijmanDepartment of Biomedical Genetics, University Medical Center Utrecht, Utrecht University, Utrecht, The Netherlands.
Emile E VoestCenter for Personalized Cancer Treatment, Rotterdam, The Netherlands.
Pier SelenicaDepartment of Pathology, Memorial Sloan Kettering Cancer Center, New York, New York, USA.
Britta WeigeltDepartment of Pathology, Memorial Sloan Kettering Cancer Center, New York, New York, USA.
Jorge S Reis-FilhoDepartment of Pathology, Memorial Sloan Kettering Cancer Center, New York, New York, USA.
Elsken van der WallCancer Center, University Medical Center Utrecht, Utrecht University, Utrecht, The Netherlands.
Edwin CuppenDepartment of Biomedical Genetics, University Medical Center Utrecht, Utrecht University, Utrecht, The Netherlands.
Paul J van DiestDepartment of Pathology, University Medical Center Utrecht, Utrecht University, Utrecht, The Netherlands.
University Medical Center Utrecht · NLUtrecht University · NLMemorial Sloan Kettering Cancer Center · USCenter for Personalized Cancer Treatment · NLAmsterdam UMC Location VUmc · NLErasmus MC · NLGelre Hospitals · NLLeiden University Medical Center · NLRadboud University Medical Center · NLThe Netherlands Cancer Institute · NLUniversity Medical Center Groningen · NL

Funding

X-RAY CRYSTALLOGRAPHYP30CA008748 · NCI · SLOAN-KETTERING INSTITUTE FOR CANCER RES · PI Hongbiao Carl Lekaye · 1985 to 2026
$347.4M
NCI NIH HHS P30 CA008748
6 · The paper itself

Abstract

Male breast cancer (MBC) is extremely rare and accounts for less than 1% of all breast malignancies. Therefore, clinical management of MBC is currently guided by research on the disease in females. In this study, DNA obtained from 45 formalin-fixed paraffin-embedded (FFPE) MBCs with and 90 MBCs (52 FFPE and 38 fresh-frozen) without matched normal tissues was subjected to massively parallel sequencing targeting all exons of 1943 cancer-related genes. The landscape of mutations and copy number alterations was compared to that of publicly available estrogen receptor (ER)-positive female breast cancers (smFBCs) and correlated to prognosis. From the 135 MBCs, 90% showed ductal histology, 96% were ER-positive, 66% were progesterone receptor (PR)-positive, and 2% HER2-positive, resulting in 50, 46 and 4% luminal A-like, luminal B-like and basal-like cases, respectively. Five patients had Klinefelter syndrome (4%) and 11% of patients harbored pathogenic BRCA2 germline mutations. The genomic landscape of MBC to some extent recapitulated that of smFBC, with recurrent PIK3CA (36%) and GATA3 (15%) somatic mutations, and with 40% of the most frequently amplified genes overlapping between both sexes. TP53 (3%) somatic mutations were significantly less frequent in MBC compared to smFBC, whereas somatic mutations in genes regulating chromatin function and homologous recombination deficiency-related signatures were more prevalent. MDM2 amplifications were frequent (13%), correlated with protein overexpression (P = 0.001) and predicted poor outcome (P = 0.007). In conclusion, despite similarities in the genomic landscape between MBC and smFBC, MBC is a molecularly unique and heterogeneous disease requiring its own clinical trials and treatment guidelines.

Indexed as

AdultAgedAged, 80 and overBiomarkers, TumorBreast NeoplasmsBreast Neoplasms, MaleDNA Copy Number VariationsFemaleGene AmplificationGenome, HumanHumansMaleMiddle AgedMutationOncogenesPrognosisBiomarkers, Tumoramplificationbreast cancercopy numbergenomicmalemutation

Identifiers

PMID31340200
PMCPMC6938562
OpenAlexW2963966788

What OpenQuestion holds

Textmetadata
LicenceTDM
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.