Prevalence of Inherited Mutations in Breast Cancer Predisposition Genes among Women in Uganda and Cameroon.


Journal

Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology
ISSN: 1538-7755
Titre abrégé: Cancer Epidemiol Biomarkers Prev
Pays: United States
ID NLM: 9200608

Informations de publication

Date de publication:
02 2020
Historique:
received: 04 05 2019
revised: 23 07 2019
accepted: 09 12 2019
pubmed: 25 12 2019
medline: 20 1 2021
entrez: 25 12 2019
Statut: ppublish

Résumé

Sub-Saharan Africa (SSA) has a high proportion of premenopausal hormone receptor negative breast cancer. Previous studies reported a strikingly high prevalence of germline mutations in Breast cancer cases, unselected for age at diagnosis and family history, were recruited from tertiary hospitals in Kampala, Uganda and Yaoundé, Cameroon. Controls were women without breast cancer recruited from the same hospitals and age-matched to cases. A multigene sequencing panel was used to test for germline mutations. There were 196 cases and 185 controls with a mean age of 46.2 and 46.6 years for cases and controls, respectively. Among cases, 15.8% carried a pathogenic or likely pathogenic mutation in a breast cancer susceptibility gene: 5.6% in Our findings replicate the earlier report of a high proportion of mutations in Given the high burden of inherited breast cancer in SSA countries, genetic risk assessment could be integrated into national cancer control plans.

Sections du résumé

BACKGROUND
Sub-Saharan Africa (SSA) has a high proportion of premenopausal hormone receptor negative breast cancer. Previous studies reported a strikingly high prevalence of germline mutations in
METHODS
Breast cancer cases, unselected for age at diagnosis and family history, were recruited from tertiary hospitals in Kampala, Uganda and Yaoundé, Cameroon. Controls were women without breast cancer recruited from the same hospitals and age-matched to cases. A multigene sequencing panel was used to test for germline mutations.
RESULTS
There were 196 cases and 185 controls with a mean age of 46.2 and 46.6 years for cases and controls, respectively. Among cases, 15.8% carried a pathogenic or likely pathogenic mutation in a breast cancer susceptibility gene: 5.6% in
CONCLUSIONS
Our findings replicate the earlier report of a high proportion of mutations in
IMPACT
Given the high burden of inherited breast cancer in SSA countries, genetic risk assessment could be integrated into national cancer control plans.

Identifiants

pubmed: 31871109
pii: 1055-9965.EPI-19-0506
doi: 10.1158/1055-9965.EPI-19-0506
pmc: PMC7007381
mid: NIHMS1546820
doi:

Substances chimiques

BRCA1 Protein 0
BRCA1 protein, human 0
BRCA2 Protein 0
BRCA2 protein, human 0
Biomarkers, Tumor 0

Types de publication

Journal Article Research Support, N.I.H., Extramural Research Support, Non-U.S. Gov't Research Support, U.S. Gov't, Non-P.H.S.

Langues

eng

Sous-ensembles de citation

IM

Pagination

359-367

Subventions

Organisme : NCI NIH HHS
ID : U01 CA161032
Pays : United States
Organisme : NIH HHS
ID : OT3 OD025458
Pays : United States
Organisme : NCI NIH HHS
ID : R01 CA228198
Pays : United States
Organisme : NHGRI NIH HHS
ID : R01 HG009018
Pays : United States
Organisme : NCI NIH HHS
ID : K12 CA139160
Pays : United States
Organisme : NCI NIH HHS
ID : U24 CA209996
Pays : United States

Informations de copyright

©2019 American Association for Cancer Research.

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Auteurs

Babatunde Adedokun (B)

Center for Clinical Cancer Genetics and Global Health, Department of Medicine, The University of Chicago, Chicago, Illinois.

Yonglan Zheng (Y)

Center for Clinical Cancer Genetics and Global Health, Department of Medicine, The University of Chicago, Chicago, Illinois.

Paul Ndom (P)

Hôpital Général Yaoundé, Yaoundé, Cameroon.

Antony Gakwaya (A)

St. Augustine International University, Kampala, Uganda.

Timothy Makumbi (T)

Department of Surgery, Mulago Hospital, Kampala, Uganda.

Alicia Y Zhou (AY)

Color Genomics, Burlingame, California.

Toshio F Yoshimatsu (TF)

Center for Clinical Cancer Genetics and Global Health, Department of Medicine, The University of Chicago, Chicago, Illinois.

Alex Rodriguez (A)

Globus, The University of Chicago, Chicago, Illinois.

Ravi K Madduri (RK)

Globus, The University of Chicago, Chicago, Illinois.
Data Science and Learning Division, Argonne National Laboratory, Lemont, Illinois.

Ian T Foster (IT)

Globus, The University of Chicago, Chicago, Illinois.
Data Science and Learning Division, Argonne National Laboratory, Lemont, Illinois.

Aminah Sallam (A)

Center for Clinical Cancer Genetics and Global Health, Department of Medicine, The University of Chicago, Chicago, Illinois.
Yale School of Medicine, New Haven, Connecticut.

Olufunmilayo I Olopade (OI)

Center for Clinical Cancer Genetics and Global Health, Department of Medicine, The University of Chicago, Chicago, Illinois. dhuo@health.bsd.uchicago.edu folopade@medicine.bsd.uchicago.edu.

Dezheng Huo (D)

Center for Clinical Cancer Genetics and Global Health, Department of Medicine, The University of Chicago, Chicago, Illinois. dhuo@health.bsd.uchicago.edu folopade@medicine.bsd.uchicago.edu.
Department of Public Health Sciences, The University of Chicago, Chicago, Illinois.

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Classifications MeSH