Evidence map›Paper›PMID 26577449›Full record

ArticleBMC cancer2015

BRCA1, BRCA2 and PALB2 mutations and CHEK2 c.1100delC in different South African ethnic groups diagnosed with premenopausal and/or triple negative breast cancer.

F Z Francies, T Wainstein, K De Leeneer, A Cairns, M Murdoch, S Nietz, H Cubasch, B Poppe, T Van Maerken, B Crombez and 7 more

Open access · goldAbstract read
In one paragraph

Article in BMC cancer, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
27citing papers in PubMed, 2 pooled it
4.0field-weighted citation impact, top 6% 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

27 citing papers in PubMed, 2 syntheses or guidelines pooled it, 55 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. FGFR2 genetic variants in women with breast cancer.Molecular medicine reports · 2023
    Article
  4. Review
  5. Article
  6. Article
  7. Prevalence of Clinically Relevant GermlineFrontiers in genetics · 2022
    Article
  8. Article
  9. Article
  10. Article
  11. PioneeringFrontiers in oncology · 2021
    Article
  12. Article
  13. Article
  14. Review
  15. Review
  16. Artificial intelligence (AI) and big data in cancer and precision oncology.Computational and structural biotechnology journal · 2020
    Review
  17. Globally RareFrontiers in oncology · 2020
    Article
  18. Article
  19. 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

17 authors at 8 institutions in 2 countries.

F Z FranciesiThemba LABS-National Research Foundation, Somerset West, South Africa. flavia.zita4@gmail.com.
T WainsteinDivision of Human Genetics, School of Pathology, University of the Witwatersrand, Johannesburg, South Africa. Tasha.Wainstein@nhls.ac.za.
K De LeeneerCenter for Medical Genetics, Ghent University Hospital, Ghent, Belgium. Kim.Deleeneer@ugent.be.
A CairnsDepartment of Surgery, Charlotte Maxeke Johannesburg Academic Hospital and Donald Gordon Medical Centre, Johannesburg, South Africa. acairns@tiscali.co.za.
M MurdochDepartment of Surgery, Charlotte Maxeke Johannesburg Academic Hospital and Donald Gordon Medical Centre, Johannesburg, South Africa. marshall.murdoch@gmail.com.
S NietzDepartment of Surgery, Charlotte Maxeke Johannesburg Academic Hospital and Donald Gordon Medical Centre, Johannesburg, South Africa. sarah.nietz@gmx.de.
H CubaschBatho Pele Breast Unit, Chris Hani Baragwanath Academic Hospital, Johannesburg, South Africa. hcubasch@worldonline.co.za.
B PoppeCenter for Medical Genetics, Ghent University Hospital, Ghent, Belgium. Bruce.Poppe@ugent.be.
T Van MaerkenCenter for Medical Genetics, Ghent University Hospital, Ghent, Belgium. Tom.Vanmaerken@ugent.be.
B CrombezCenter for Medical Genetics, Ghent University Hospital, Ghent, Belgium. Brecht.Crombez@ugent.be.
I CoeneCenter for Medical Genetics, Ghent University Hospital, Ghent, Belgium. Ilse.Coene@ugent.be.
R KerrDivision of Human Genetics, School of Pathology, University of the Witwatersrand, Johannesburg, South Africa. Robyn.Kerr@nhls.ac.za.
J P SlabbertiThemba LABS-National Research Foundation, Somerset West, South Africa. jps@tlabs.ac.za.
A VralDepartment of Basic Medical Sciences, Ghent University, Ghent, Belgium. Anne.vral@ugent.be.
A KrauseDivision of Human Genetics, School of Pathology, University of the Witwatersrand, Johannesburg, South Africa. Amanda.Krause@nhls.ac.za.
A BaeyensiThemba LABS-National Research Foundation, Somerset West, South Africa. Ans.Baeyens@wits.ac.za.
K B M ClaesCenter for Medical Genetics, Ghent University Hospital, Ghent, Belgium. Kathleen.Claes@ugent.be.
Ghent University Hospital · BEGhent University · BENational Research Foundation · ZAUniversity of the Witwatersrand · ZAWits University Donald Gordon Medical Centre · ZAChris Hani Baragwanath Hospital · ZAJohannesburg Hospital · ZANational Health Laboratory Service · ZA

Funding

HIV's Effects on Breast Cancer Treatment and Outcomes in South AfricaR01CA192627 · NCI · WITS HEALTH CONSORTIUM (PTY), LTD · PI JACOBSON, JUDITH S, JOFFE, MAUREEN · 2015 to 2019
$1.7M
NCI NIH HHS R01 CA192627
6 · The paper itself

Abstract

backgroundCurrent knowledge of the aetiology of hereditary breast cancer in the four main South African population groups (black, coloured, Indian and white) is limited. Risk assessments in the black, coloured and Indian population groups are challenging because of restricted information regarding the underlying genetic contributions to inherited breast cancer in these populations. We focused this study on premenopausal patients (diagnosed with breast cancer before the age of 50; n = 78) and triple negative breast cancer (TNBC) patients (n = 30) from the four South African ethnic groups. The aim of this study was to determine the frequency and spectrum of germline mutations in BRCA1, BRCA2 and PALB2 and to evaluate the presence of the CHEK2 c.1100delC allele in these patients.

methodsIn total, 108 South African breast cancer patients underwent mutation screening using a Next-Generation Sequencing (NGS) approach in combination with Multiplex Ligation-dependent Probe Amplification (MLPA) to detect large rearrangements in BRCA1 and BRCA2.

resultsIn 13 (12 %) patients a deleterious mutation in BRCA1/2 was detected, three of which were novel mutations in black patients. None of the study participants was found to have an unequivocal pathogenic mutation in PALB2. Two (white) patients tested positive for the CHEK2 c.1100delC mutation, however, one of these also carried a deleterious BRCA2 mutation. Additionally, six variants of unknown clinical significance were identified (4 in BRCA2, 2 in PALB2), all in black patients. Within the group of TNBC patients, a higher mutation frequency was obtained (23.3 %; 7/30) than in the group of patients diagnosed before the age of 50 (7.7 %; 6/78).

conclusionThis study highlights the importance of evaluating germline mutations in major breast cancer genes in all of the South African population groups. This NGS study shows that mutation analysis is warranted in South African patients with triple negative and/or in premenopausal breast cancer.

Indexed as

AdultAgedAllelesBRCA1 ProteinBRCA2 ProteinCheckpoint Kinase 2EthnicityFanconi Anemia Complementation Group N ProteinFemaleGenetic Predisposition to DiseaseGerm-Line MutationHigh-Throughput Nucleotide SequencingHumansMiddle AgedNuclear ProteinsPremenopauseBRCA1 ProteinBRCA2 ProteinBRCA2 protein, humanCheckpoint Kinase 2CHEK2 protein, humanFanconi Anemia Complementation Group N ProteinNuclear ProteinsPALB2 protein, humanTumor Suppressor Proteins

Identifiers

PMID26577449
PMCPMC4647511
OpenAlexW2174952735

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.