Literature DB >> 30130155

Inherited Breast Cancer in Nigerian Women.

Yonglan Zheng1, Tom Walsh1, Suleyman Gulsuner1, Silvia Casadei1, Ming K Lee1, Temidayo O Ogundiran1, Adeyinka Ademola1, Adeyinka G Falusi1, Clement A Adebamowo1, Abideen O Oluwasola1, Adewumi Adeoye1, Abayomi Odetunde1, Chinedum P Babalola1, Oladosu A Ojengbede1, Stella Odedina1, Imaria Anetor1, Shengfeng Wang1, Dezheng Huo1, Toshio F Yoshimatsu1, Jing Zhang1, Gabriela E S Felix1, Mary-Claire King1, Olufunmilayo I Olopade1.   

Abstract

PURPOSE: Among Nigerian women, breast cancer is diagnosed at later stages, is more frequently triple-negative disease, and is far more frequently fatal than in Europe or the United States. We evaluated the contribution of an inherited predisposition to breast cancer in this population. PATIENTS AND METHODS: Cases were 1,136 women with invasive breast cancer (mean age at diagnosis, 47.5 ± 11.5 years) ascertained in Ibadan, Nigeria. Patients were selected regardless of age at diagnosis, family history, or prior genetic testing. Controls were 997 women without cancer (mean age at interview, 47.0 ± 12.4 years) from the same communities. BROCA panel sequencing was used to identify loss-of-function mutations in known and candidate breast cancer genes.
RESULTS: Of 577 patients with information on tumor stage, 86.1% (497) were diagnosed at stage III (241) or IV (256). Of 290 patients with information on tumor hormone receptor status and human epidermal growth factor receptor 2, 45.9% (133) had triple-negative breast cancer. Among all cases, 14.7% (167 of 1,136) carried a loss-of-function mutation in a breast cancer gene: 7.0% in BRCA1, 4.1% in BRCA2, 1.0% in PALB2, 0.4% in TP53, and 2.1% in any of 10 other genes. Odds ratios were 23.4 (95% CI, 7.4 to 73.9) for BRCA1 and 10.3 (95% CI, 3.7 to 28.5) for BRCA2. Risks were also significantly associated with PALB2 (11 cases, zero controls; P = .002) and TP53 (five cases, zero controls; P = .036). Compared with other patients, BRCA1 mutation carriers were younger ( P < .001) and more likely to have triple-negative breast cancer ( P = .028).
CONCLUSION: Among Nigerian women, one in eight cases of invasive breast cancer is a result of inherited mutations in BRCA1, BRCA2, PALB2, or TP53, and breast cancer risks associated with these genes are extremely high. Given limited resources, prevention and early detection services should be especially focused on these highest-risk women.

Entities:  

Mesh:

Year:  2018        PMID: 30130155      PMCID: PMC6161833          DOI: 10.1200/JCO.2018.78.3977

Source DB:  PubMed          Journal:  J Clin Oncol        ISSN: 0732-183X            Impact factor:   50.717


INTRODUCTION

Among Nigerian women, breast cancer generally is diagnosed at an advanced stage, and survival is very poor.[1,2] In addition, Nigerian women are diagnosed more frequently with triple-negative breast cancer (TNBC) than patients of European ancestry.[3] Breast cancer incidence in this population historically has been low but is now increasing.[4] Given limited resources for population screening by mammography, the identification of women at especially high risk of breast cancer is useful to focus screening efforts particularly for them. The goals of the project reported herein were to determine the proportion of breast cancer as a result of inherited disease among Nigerian women, the breast cancer genes that most frequently harbor pathogenic mutations in this population, and the increases in breast cancer risks associated with mutations in these genes. Some Nigerian patients with breast cancer were previously screened for a few specific alleles of BRCA1 and BRCA2,[5-8] but no African population has been evaluated for all known and candidate breast cancer genes. Recent advances in genomic technology now enable simultaneous sequencing of all such genes.[9,10] In addition, community engagement has led to study enrollment of unaffected women of the same ages and ethnic and socioeconomic backgrounds as the cases, which enables risk estimates on the basis of appropriate controls.

PATIENTS AND METHODS

Study Participants

The Nigerian Breast Cancer Study is a case-control study with enrollment between March 1998 and 2014. The study setting and design have been described in detail elsewhere.[11-14] Briefly, all cases were diagnosed and histologically confirmed as invasive breast cancer by pathologists at the University College Hospital in Ibadan, Nigeria, a tertiary hospital that serves southwestern Nigeria. All cases were at least 18 years old and were included regardless of age at diagnosis, family history, or previous genetic testing. Histologic diagnosis was based on evaluation of hematoxylin and eosin–stained slides. Tumors of a subset of the patients also were evaluated by immunohistochemistry for estrogen receptor (ER), progesterone receptor (PR), and human epidermal growth factor receptor 2 (HER2). Controls were recruited from hospital general outpatient clinics and communities that represent the diversity of ethnicities and socioeconomic status of University College Hospital patients with cancer. Institutional review boards of The University of Chicago, the University of Ibadan, and the University of Washington approved the study. All participants in this study provided written informed consent. On the basis of institutional review board review, genetic testing results from this study were considered research and were not returned to the study participants. The study enrolled 1,136 cases and 997 controls (386 hospital based and 611 community based).

Genomics

Genomic DNA was sequenced using the BROCA gene panel,[9,15] which enabled the identification of all classes of mutations (point mutations, small insertions and deletions, and genomic deletions and duplications) in coding sequence, introns, untranslated regulatory regions, and 10 kb preceding and after the transcription start and stop sites of each gene. Genes on the BROCA panel included established breast cancer genes of both high and moderate penetrance and genes that have been suggested as candidate for breast cancer predisposition. Strength of evidence for these candidate genes varies. Genes included were BRCA1, BRCA2, ATM, ATR, BAP1, BARD1, BRIP1, CDH1, CHEK1, CHEK2, FAM175A, FANCM, GEN1, MRE11A, NBN, PALB2, PTEN, RAD51B, RAD51C, RAD51D, RECQL, RINT1, SLX4, TP53, and XRCC2. Paired-end reads with median 250× coverage were aligned to the human genome reference hg19. Alignment, base quality calibration, and variant identification were carried out as previously described.[9,15] Genomic deletions and duplications were called by our in-house approach.[16] Interpretations of possible enhancer and splice mutations were based on in silico programs, as previously described; on published experimental results; or on experimental results in our laboratory. Although RNA was not available from the Nigerian participants, transcriptional effects of splice variants that had appeared in other studies in our laboratory could be tested. Potential splice or enhancer mutations were included only if shown experimentally (by us or others) to alter splicing. In-frame deletions, either in DNA or RNA, were included only if a critical domain was deleted. Only mutations that led to loss of gene function or were experimentally demonstrated to damage gene function were included in subsequent analyses. Statistical analysis of categorical variables was based on two-tailed χ2 tests, with Pearson continuity correction, or by Fisher’s exact tests, as appropriate. Continuous variables were compared by t tests or by Wilcoxon rank sum (Mann-Whitney U) tests if not normally distributed. Odds ratios (ORs) and 95% CIs were calculated by established methods.

RESULTS

Demographic and clinical characteristics of the patients and controls are listed in Table 1. Mean age at diagnosis of breast cancer cases was 47.54 ± 11.47 years, and mean age at interview of controls was 46.99 ± 12.44 years. Six percent of patients and 2% of controls reported a family history of breast cancer; for many participants, no information on family medical history was available. Of patients with information on tumor stage, 86.1% (497 of 577) were diagnosed at stage III (241 of 577) or stage IV (246 of 577). Of patients with information on tumor ER, PR, and HER2 status, 45.9% (133 of 290) had TNBC.
Table 1.

Characteristics of Nigerian Breast Cancer Cases and Controls

Characteristics of Nigerian Breast Cancer Cases and Controls Among all patients with breast cancer, 14.7% (167 of 1,136) carried an unambiguously damaging mutation in a breast cancer gene, whereas among controls, 1.8% (18 of 997) carried such a mutation (Table 2; Fig 1). Six mutations in cases and two mutations in controls were large deletions (Data Supplement). The gene that contributed most to risk was BRCA1, both because 7.0% of patients (80 of 1,136) harbored a damaging mutation in BRCA1 and because the increase in breast cancer risk associated with BRCA1 mutation was extremely high (OR, 23.40; 95% CI, 7.41 to 73.88; P < .001). The gene that contributed the next most severely to risk was BRCA2, with 4.1% of patients harboring a damaging mutation and a significantly increased risk (OR, 10.76; 95% CI, 3.86 to 29.99; P < .001).
Table 2.

Frequencies of Damaging Mutations in Known and Candidate Breast Cancer Genes in Nigerian Cases and Controls

Fig 1.

Damaging mutations in known and candidate breast cancer genes in Nigerian women. The graph indicates the percentages of 1,136 cases and 997 controls identified as carriers of a damaging mutation in a known or candidate breast cancer gene on the basis of sequencing with the BROCA gene panel. Differences between cases and controls were significant for BRCA1, BRCA2, PALB2, and TP53 (see Results). Graphs at the bottom of the figure represent percentages of mutation carriers for BRCA1 and BRCA2 for cases and controls stratified by age at diagnosis (for cases) or age at interview (for controls).

Frequencies of Damaging Mutations in Known and Candidate Breast Cancer Genes in Nigerian Cases and Controls Damaging mutations in known and candidate breast cancer genes in Nigerian women. The graph indicates the percentages of 1,136 cases and 997 controls identified as carriers of a damaging mutation in a known or candidate breast cancer gene on the basis of sequencing with the BROCA gene panel. Differences between cases and controls were significant for BRCA1, BRCA2, PALB2, and TP53 (see Results). Graphs at the bottom of the figure represent percentages of mutation carriers for BRCA1 and BRCA2 for cases and controls stratified by age at diagnosis (for cases) or age at interview (for controls). PALB2 and TP53 also were associated with significant increases in breast cancer risk, with 11 patients and zero controls carrying a damaging mutation in PALB2 (P < .001), and four patients and zero controls carrying a damaging mutation in TP53 (P = .036). Of the TP53 mutations, one was a frameshift and four were missenses with evidence for partial loss of function (Data Supplement). Insofar as could be determined, none of the patients with TP53 mutations had relatives with other Li-Fraumeni syndrome cancers. Ten other genes—ATM, BARD1, BRIP1, CHEK1, CHEK2, GEN1, NBN, RAD51C, RAD51D, and XRCC2—each harbored a damaging mutation in one or more patients (Table 2). One patient carried damaging mutations in two genes, BRCA1 and BRIP1. CHEK2 played a far more minor role in this population than in European populations; no common Nigerian mutations were found in CHEK2 (Data Supplement). Two genes, FAM175A and SLX4, harbored damaging mutations in controls but not in cases (Table 2), consistent with other observations that mutations in these two genes do not predispose to breast cancer.[17] Mutations in the known moderate-risk genes were too rare to yield meaningful gene-specific risk estimates, and the evidence for causality among these genes varies too widely to pool risk estimates. Results from the Nigerian population do not provide strong evidence for or against association with breast cancer for these genes. No cases or controls carried damaging mutations in any of the other genes on the BROCA panel. Age at diagnosis was significantly younger for BRCA1 mutation carriers (42.63 ± 10.14 years) than for other patients (47.90 ± 11.49 years; P < .001) and for TP53 mutation carriers (32.80 ± 9.26 years) than for other patients (47.60 ± 11.44 years; P = .023). Age at diagnosis was not associated with mutations in any other gene. Both allelic heterogeneity and founder mutations played a role in inherited breast cancer (Data Supplement). Allelic heterogeneity among the patients was reflected in the appearance of 105 different mutations in 14 genes. On the other hand, approximately one half of patients (52.7% [88 of 167]) carried a mutation present in at least one other case. Of the most common mutations among the patients, BRCA1 p.M1775R is of particular historical interest because it was the first BRCA1 mutation identified in an African American family.[18] TNBC was significantly associated with mutations in BRCA1 (Data Supplement). Among patients with tumors known to be TNBC, 8.3% (11 of 133) carried a BRCA1 mutation, whereas among patients with tumors known to be positive for ER, PR, or HER2, 2.5% (four of 157) carried a BRCA1 mutation (OR, 3.45; 95% CI, 1.07 to 11.10; P = .028). Patients with TNBC were slightly, but not significantly, older at diagnosis than patients with non-TNBC tumors (49.39 ± 12.15 v 47.40 ± 11.67 years; P = .16); the exclusion of BRCA1 mutation carriers from these calculations did not change the result. TNBC was not associated with tumor stage (P = .96).

DISCUSSION

Results of genomic analysis of Nigerian women with breast cancer and age- and community-matched controls suggest several themes important to clinical translation of cancer genetics both in Africa and in general. First, for Nigerian women, BRCA1 and BRCA2 have a major effect on breast cancer incidence both because the ORs for BRCA1 and BRCA2 are extremely high (> 20 for BRCA1; > 10 for BRCA2) and because 11% of patients carry a damaging mutation in one of these genes (7.0% in BRCA1; 4.1% in BRCA2). These carrier frequencies are much higher than those reported from population-based screening of African American patients with breast cancer on the basis of earlier mutation detection methods[19] and are more comparable to carrier frequencies among African American women referred for clinical genetic testing.[20,21] Mutations in PALB2 and TP53 also confer a significantly elevated risk, although mutations in these genes were less frequent, and risks were not estimable because no mutations appeared in controls. The role of inherited predisposition to breast cancer risk in Nigeria is important to understand in the context of the currently increasing risks of breast cancer among Nigerian women.[4] As elsewhere, it is likely that breast cancer incidence is increasing among Nigerian women primarily as a result of better nutrition in young girls, which leads to earlier menarche, and better education of young women, which leads to later age at first pregnancy. We note that gene-environment interaction thus plays an important role in this increase. Studies in western countries indicate that among BRCA1 and BRCA2 mutation carriers, breast cancer risks, age for age, are significantly higher among women born more recently than among women born earlier, even with the same mutations in the same families.[22,23] The causes of the increase in risk by birth cohort are not genetic but are changes in the same aforementioned features of reproductive history. In other words, risks of breast cancer to BRCA1 or BRCA2 mutation carriers is context dependent and varies by geography and the social environment in which the mutation carrier lives.[24] Second, most of the well-documented high prevalence of TNBC in this population remains unexplained.[3] TNBC is significantly associated with BRCA1 carrier status among Nigerian patients, as elsewhere.[25-27] However, > 90% of the Nigerian patients with TNBC studied had no mutation in BRCA1. The biologic basis of TNBC in African and African American women remains a critical unanswered question. Third, genetic screening for patients with breast cancer is useful only if it is comprehensive, with full sequencing of all breast cancer genes. The importance of both allelic heterogeneity and founder mutations among Nigerian patients echoes the pattern seen in Europe[28] and explains the previous observation in this population that recurrent mutations identified in a small discovery series of patients were not good predictors of mutations in a second series from the same population.[8] To screen only for recurrent mutations, even in several genes, would lead to missing the mutations of > 50% of women. Comprehensive sequencing for breast cancer genes is now feasible on a large scale and could be deployed to improve access to personalized screening by mammography and other detection methods for women who need it most. Finally, this project offered the opportunity to evaluate patients with breast cancer and controls ascertained regardless of age at diagnosis or family history or previous genetic testing. To carry out such a survey in high-income countries is challenging because many patients, particularly those with young-onset diagnoses or severe family histories, have been tested commercially. These problems have been addressed by sequencing large series of patients from clinical trials,[29] but such series do not include controls. The Nigerian series was designed to minimize ascertainment biases and to include controls from the same geographic locales as the patients. Results revealed very high risks for carriers of mutations in BRCA1 and BRCA2 and a high prevalence of mutation carriers among these patients. The principal limitation of this study was that histopathologic features of tumors, including stage and hormonal status, were available for only a minority of patients. Lack of this information constrained efforts to characterize the high prevalence of TNBC in this population. These issues reflect resource-limited settings generally and support the importance of developing independent, inexpensive approaches to the identification of high-risk women. In conclusion, we suggest that genomic sequencing to identify women at extremely high risk of breast cancer could be a highly innovative approach to tailored risk management and life-saving interventions. An urgent need exists to address widening global disparities in breast cancer mortality that disproportionately affect women of African ancestry both in Africa and throughout the diaspora. In the United States, African American women have the highest breast cancer mortality rate.[30] Given that breast cancer is more frequently TNBC among both African American and Nigerian women than among other populations[3] and given the very young ages at diagnosis in the Nigerian population, a focus on risk management in genetically high-risk women could substantially reduce premature mortality as a result of breast cancer in Nigeria. Application of genomic technology to breast cancer risk stratification is consistent with the WHO Human Genomics in Global Health Initiative[31] and with the United Nations Sustainable Development Goals for 2015 to 2030.[32] It may seem paradoxical to apply the most recent technology in severely resource-limited settings, but the solution fits the problem well. More than 20 years after the first extended family of African ancestry with a BRCA1 mutation was published,[18] the critical genes and classes of mutations responsible for the high risk of inherited breast cancer among Nigerian women are now clear. On the basis of our results, the critical genes for inherited breast cancer in this population are BRCA1, BRCA2, PALB2, and TP53, and the critical mutations in these genes are those that lead to loss of function. Nigeria now has data to prioritize the integration of genetic testing into its cancer control plan. Women with an extremely high risk of breast cancer as a result of mutations in these genes can be identified inexpensively and unambiguously and offered interventions to reduce cancer risk. In Nigeria, women with cancer-predisposing mutations in these genes comprise 12% to 13% of all patients with breast cancer. One half of sisters and daughters will carry the mutation of the index patient. The current results indicate that approximately one in 150 unaffected young women from the general population also will carry such a mutation. If these women at very high risk can be identified either through their relatives with breast cancer or in the general population, resources can be focused particularly on their behalf. For as-yet unaffected women at high genetic risk, these resources would be intensive surveillance for early detection of breast cancer and, after childbearing is completed, the possibility of preventive salpingo-oophorectomy.[33] Integrated population screening for cancer for all women is the goal, but focused outreach to women at extremely high risk represents an especially efficient use of resources and an attainable evidence-based global health approach.
  32 in total

1.  High prevalence of BRCA1 and BRCA2 mutations in unselected Nigerian breast cancer patients.

Authors:  James D Fackenthal; Jing Zhang; Bifeng Zhang; Yonglan Zheng; Fitsum Hagos; Devin R Burrill; Qun Niu; Dezheng Huo; Walmy E Sveen; Temidayo Ogundiran; Clemet Adebamowo; Abayomi Odetunde; Adeyinka G Falusi; Olufunmilayo I Olopade
Journal:  Int J Cancer       Date:  2012-01-27       Impact factor: 7.396

2.  Recurrent BRCA1 and BRCA2 mutations in breast cancer patients of African ancestry.

Authors:  Jing Zhang; James D Fackenthal; Yonglan Zheng; Dezheng Huo; Ningqi Hou; Qun Niu; Cecilia Zvosec; Temidayo O Ogundiran; Anselm J Hennis; Maria Cristina Leske; Barbara Nemesure; Suh-Yuh Wu; Olufunmilayo I Olopade
Journal:  Breast Cancer Res Treat       Date:  2012-06-28       Impact factor: 4.872

3.  Searching for large genomic rearrangements of the BRCA1 gene in a Nigerian population.

Authors:  Jing Zhang; James D Fackenthal; Dezheng Huo; Yonglan Zheng; Olufunmilayo I Olopade
Journal:  Breast Cancer Res Treat       Date:  2010-07-02       Impact factor: 4.872

4.  Mutations in 12 genes for inherited ovarian, fallopian tube, and peritoneal carcinoma identified by massively parallel sequencing.

Authors:  Tom Walsh; Silvia Casadei; Ming K Lee; Christopher C Pennil; Alex S Nord; Anne M Thornton; Wendy Roeb; Kathy J Agnew; Sunday M Stray; Anneka Wickramanayake; Barbara Norquist; Kathryn P Pennington; Rochelle L Garcia; Mary-Claire King; Elizabeth M Swisher
Journal:  Proc Natl Acad Sci U S A       Date:  2011-10-17       Impact factor: 11.205

5.  New therapies for metastatic disease addressed in updated NCCN Guidelines for breast cancer.

Authors: 
Journal:  J Natl Compr Canc Netw       Date:  2011-04       Impact factor: 11.908

6.  Focusing attention on ancestral diversity within genomics research: a potential means for promoting equity in the provision of genomics based healthcare services in developing countries.

Authors:  Nirmala D Sirisena; Vajira H W Dissanayake
Journal:  J Community Genet       Date:  2017-07-11

Review 7.  Mutations in context: implications of BRCA testing in diverse populations.

Authors:  Gabriela E S Felix; Yonglan Zheng; Olufunmilayo I Olopade
Journal:  Fam Cancer       Date:  2018-10       Impact factor: 2.375

Review 8.  A perfect storm: How tumor biology, genomics, and health care delivery patterns collide to create a racial survival disparity in breast cancer and proposed interventions for change.

Authors:  Bobby Daly; Olufunmilayo I Olopade
Journal:  CA Cancer J Clin       Date:  2015-04-09       Impact factor: 508.702

9.  An epidemiologic investigation of physical activity and breast cancer risk in Africa.

Authors:  Ningqi Hou; Paul Ndom; Johashaphat Jombwe; Temidayo Ogundiran; Adeyinka Ademola; Imran Morhason-Bello; Oladosu Ojengbede; Antony Gakwaya; Dezheng Huo
Journal:  Cancer Epidemiol Biomarkers Prev       Date:  2014-09-21       Impact factor: 4.254

10.  Refined histopathological predictors of BRCA1 and BRCA2 mutation status: a large-scale analysis of breast cancer characteristics from the BCAC, CIMBA, and ENIGMA consortia.

Authors:  Amanda B Spurdle; Fergus J Couch; Michael T Parsons; Lesley McGuffog; Daniel Barrowdale; Manjeet K Bolla; Qin Wang; Sue Healey; Rita Schmutzler; Barbara Wappenschmidt; Kerstin Rhiem; Eric Hahnen; Christoph Engel; Alfons Meindl; Nina Ditsch; Norbert Arnold; Hansjoerg Plendl; Dieter Niederacher; Christian Sutter; Shan Wang-Gohrke; Doris Steinemann; Sabine Preisler-Adams; Karin Kast; Raymonda Varon-Mateeva; Steve Ellis; Debra Frost; Radka Platte; Jo Perkins; D Gareth Evans; Louise Izatt; Ros Eeles; Julian Adlard; Rosemarie Davidson; Trevor Cole; Giulietta Scuvera; Siranoush Manoukian; Bernardo Bonanni; Frederique Mariette; Stefano Fortuzzi; Alessandra Viel; Barbara Pasini; Laura Papi; Liliana Varesco; Rosemary Balleine; Katherine L Nathanson; Susan M Domchek; Kenneth Offitt; Anna Jakubowska; Noralane Lindor; Mads Thomassen; Uffe Birk Jensen; Johanna Rantala; Åke Borg; Irene L Andrulis; Alexander Miron; Thomas V O Hansen; Trinidad Caldes; Susan L Neuhausen; Amanda E Toland; Heli Nevanlinna; Marco Montagna; Judy Garber; Andrew K Godwin; Ana Osorio; Rachel E Factor; Mary B Terry; Timothy R Rebbeck; Beth Y Karlan; Melissa Southey; Muhammad Usman Rashid; Nadine Tung; Paul D P Pharoah; Fiona M Blows; Alison M Dunning; Elena Provenzano; Per Hall; Kamila Czene; Marjanka K Schmidt; Annegien Broeks; Sten Cornelissen; Senno Verhoef; Peter A Fasching; Matthias W Beckmann; Arif B Ekici; Dennis J Slamon; Stig E Bojesen; Børge G Nordestgaard; Sune F Nielsen; Henrik Flyger; Jenny Chang-Claude; Dieter Flesch-Janys; Anja Rudolph; Petra Seibold; Kristiina Aittomäki; Taru A Muranen; Päivi Heikkilä; Carl Blomqvist; Jonine Figueroa; Stephen J Chanock; Louise Brinton; Jolanta Lissowska; Janet E Olson; Vernon S Pankratz; Esther M John; Alice S Whittemore; Dee W West; Ute Hamann; Diana Torres; Hans Ulrich Ulmer; Thomas Rüdiger; Peter Devilee; Robert A E M Tollenaar; Caroline Seynaeve; Christi J Van Asperen; Diana M Eccles; William J Tapper; Lorraine Durcan; Louise Jones; Julian Peto; Isabel dos-Santos-Silva; Olivia Fletcher; Nichola Johnson; Miriam Dwek; Ruth Swann; Anita L Bane; Gord Glendon; Anna M Mulligan; Graham G Giles; Roger L Milne; Laura Baglietto; Catriona McLean; Jane Carpenter; Christine Clarke; Rodney Scott; Hiltrud Brauch; Thomas Brüning; Yon-Dschun Ko; Angela Cox; Simon S Cross; Malcolm W R Reed; Jan Lubinski; Katarzyna Jaworska-Bieniek; Katarzyna Durda; Jacek Gronwald; Thilo Dörk; Natalia Bogdanova; Tjoung-Won Park-Simon; Peter Hillemanns; Christopher A Haiman; Brian E Henderson; Fredrick Schumacher; Loic Le Marchand; Barbara Burwinkel; Frederik Marme; Harald Surovy; Rongxi Yang; Hoda Anton-Culver; Argyrios Ziogas; Maartje J Hooning; J Margriet Collée; John W M Martens; Madeleine M A Tilanus-Linthorst; Hermann Brenner; Aida Karina Dieffenbach; Volke Arndt; Christa Stegmaier; Robert Winqvist; Katri Pylkäs; Arja Jukkola-Vuorinen; Mervi Grip; Annika Lindblom; Sara Margolin; Vijai Joseph; Mark Robson; Rohini Rau-Murthy; Anna González-Neira; José Ignacio Arias; Pilar Zamora; Javier Benítez; Arto Mannermaa; Vesa Kataja; Veli-Matti Kosma; Jaana M Hartikainen; Paolo Peterlongo; Daniela Zaffaroni; Monica Barile; Fabio Capra; Paolo Radice; Soo H Teo; Douglas F Easton; Antonis C Antoniou; Georgia Chenevix-Trench; David E Goldgar
Journal:  Breast Cancer Res       Date:  2014-12-23       Impact factor: 6.466

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

Authors:  Babatunde Adedokun; Yonglan Zheng; Paul Ndom; Antony Gakwaya; Timothy Makumbi; Alicia Y Zhou; Toshio F Yoshimatsu; Alex Rodriguez; Ravi K Madduri; Ian T Foster; Aminah Sallam; Olufunmilayo I Olopade; Dezheng Huo
Journal:  Cancer Epidemiol Biomarkers Prev       Date:  2019-12-23       Impact factor: 4.254

2.  The Time for Mainstreaming Germline Testing for Patients With Breast Cancer Is Now.

Authors:  Padma Sheila Rajagopal; Daniel V T Catenacci; Olufunmilayo I Olopade
Journal:  J Clin Oncol       Date:  2019-06-27       Impact factor: 44.544

Review 3.  African genetic diversity and adaptation inform a precision medicine agenda.

Authors:  Luisa Pereira; Leon Mutesa; Paulina Tindana; Michèle Ramsay
Journal:  Nat Rev Genet       Date:  2021-01-11       Impact factor: 53.242

Review 4.  Synonymous Variants: Necessary Nuance in Our Understanding of Cancer Drivers and Treatment Outcomes.

Authors:  Nayiri M Kaissarian; Douglas Meyer; Chava Kimchi-Sarfaty
Journal:  J Natl Cancer Inst       Date:  2022-08-08       Impact factor: 11.816

Review 5.  The role of genomics in global cancer prevention.

Authors:  Ophira Ginsburg; Paul Brennan; Patricia Ashton-Prolla; Anna Cantor; Daniela Mariosa
Journal:  Nat Rev Clin Oncol       Date:  2020-09-24       Impact factor: 66.675

6.  Contribution of Germline Predisposition Gene Mutations to Breast Cancer Risk in African American Women.

Authors:  Julie R Palmer; Eric C Polley; Chunling Hu; Esther M John; Christopher Haiman; Steven N Hart; Mia Gaudet; Tuya Pal; Hoda Anton-Culver; Amy Trentham-Dietz; Leslie Bernstein; Christine B Ambrosone; Elisa V Bandera; Kimberly A Bertrand; Traci N Bethea; Chi Gao; Rohan D Gnanaolivu; Hongyan Huang; Kun Y Lee; Loic LeMarchand; Jie Na; Dale P Sandler; Payal D Shah; Siddhartha Yadav; William Yang; Jeffrey N Weitzel; Susan M Domchek; David E Goldgar; Katherine L Nathanson; Peter Kraft; Song Yao; Fergus J Couch
Journal:  J Natl Cancer Inst       Date:  2020-12-14       Impact factor: 13.506

7.  Disparities in Genetic Testing and Care among Black women with Hereditary Breast Cancer.

Authors:  Sonya Reid; Sydney Cadiz; Tuya Pal
Journal:  Curr Breast Cancer Rep       Date:  2020-05-19

8.  BRCA1 and BRCA2 pathogenic sequence variants in women of African origin or ancestry.

Authors:  Tara M Friebel; Irene L Andrulis; Judith Balmaña; Amie M Blanco; Fergus J Couch; Mary B Daly; Susan M Domchek; Douglas F Easton; William D Foulkes; Patricia A Ganz; Judy Garber; Gord Glendon; Mark H Greene; Peter J Hulick; Claudine Isaacs; Rachel C Jankowitz; Beth Y Karlan; Judy Kirk; Ava Kwong; Annette Lee; Fabienne Lesueur; Karen H Lu; Katherine L Nathanson; Susan L Neuhausen; Kenneth Offit; Edenir I Palmero; Priyanka Sharma; Marc Tischkowitz; Amanda E Toland; Nadine Tung; Elizabeth J van Rensburg; Ana Vega; Jeffrey N Weitzel; Gemo Study Collaborators; Kent F Hoskins; Tara Maga; Michael T Parsons; Lesley McGuffog; Antonis C Antoniou; Georgia Chenevix-Trench; Dezheng Huo; Olufunmilayo I Olopade; Timothy R Rebbeck
Journal:  Hum Mutat       Date:  2019-07-03       Impact factor: 4.700

9.  Common founder BRCA2 pathogenic variants and breast cancer characteristics in Ethiopian Jews.

Authors:  S Lieberman; R Chen-Shtoyerman; Z Levi; S Shkedi-Rafid; S Zuckerman; R Bernstein-Molho; G Reznick Levi; S S Shachar; A Flugelman; V Libman; I Kedar; S Naftaly-Nathan; I Lagovsky; T Peretz; N Karminsky; S Carmi; E Levy-Lahad; Y Goldberg
Journal:  Breast Cancer Res Treat       Date:  2022-03-12       Impact factor: 4.624

10.  Heritable Susceptibility to Breast Cancer among African-American Women in the Detroit Research on Cancer Survivors Study.

Authors:  Kristen S Purrington; Sreejata Raychaudhuri; Michael S Simon; Julie Clark; Valerie Ratliff; Gregory Dyson; Douglas B Craig; Julie L Boerner; Jennifer L Beebe-Dimmer; Ann G Schwartz
Journal:  Cancer Epidemiol Biomarkers Prev       Date:  2020-08-31       Impact factor: 4.254

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