INTRODUCTION
Breast cancer is the most commonly diagnosed cancer among women worldwide, and the fifth leading cause of cancer deaths estimated at 685,000 in 2020.1 In developing countries including the vast majority of Sub-Saharan Africa (SSA), BC is the second most common female malignancy after cervical cancer.2 In Tanzania, the incidence rates of BC are on the rise over the past two decades and were predicted to increase by over 80% by 2030.3,4 About half of women diagnosed with BC in Tanzania die of the disease as majority of them present with advanced stage (stage III or IV) where treatment is less effective, expensive, and the outcomes are poor.3
Majority of the BC cases are sporadic with no cancer history in the first or second-degree relatives. However, about 5%–10% of BC cases have a hereditary background and can be passed on from generation to generation.5 Breast cancer genes, BRCA1/2, are tumor suppressor genes located on chromosomes 17q21 and 13q12-13, respectively, are mainly responsible for the maintenance of genome integrity through homologous DNA repair and control of cell cycle. The two genes are the major hereditary BC and/or ovarian cancer (OC) predisposition genes, reported for the first time over two decades ago.6,7 Individuals harboring pathogenic variants in BRCA1/2 have an elevated lifetime risk of developing BC, OC, prostate cancer and pancreatic cancer.8–10 Scholars describe women with pathogenic variants in BRCA1 to have about 72% and 44% cumulative risk of BC and OC, respectively. Meanwhile, those with pathogenic variants in BRCA2 have about 69% and 17% cumulative risk of BC and OC, respectively, before the age of 80.11 It is worth noting that not all pathogenic BRCA1/2 variant carriers develop cancer in a lifetime. Therefore, healthy individual carriers may be recommended to undergo intensified cancer surveillance, use chemoprevention prophylaxis, or consider prophylactic surgery as a means of reducing risks of BC, OC, and other cancers. By undergoing said measures, the disease can be prevented or detected at a very early stage.2
Thousands of the germline BRCA1/2 variants are known to date, and the numbers continue to increase with the majority of them being SNV/indel occurring over the entire length of the genes. Detection of these SNV/indel variants together with large deletion and duplications also known as copy number variations (CNVs) is currently more feasible and cost-effective following the invention of next-generation sequencing (NGS). This enables simultaneous detection of both variants using a single platform and workflow, which provides high accuracy and shorter turnaround time.12,13 Although the CNVs are seldom reported, they contribute a substantial fraction of germline pathogenic BRCA1/2 variants of about 4%–28%. The CNVs are more common in BRCA1 than in BRCA2 due to the presence of high densities of Alu sequences and homologous recombination events between BRCA1 and its pseudogenes.14,15
Genetic testing for pathogenic BRCA1/2 SNV/indel and CNVs has emerged as a new weapon to fight against BC and is gaining more implications in clinical management as well as in general public health.16 BC patients confirmed of carrying pathogenic BRCA1/2 variants have a chance of benefiting from advanced personalized BC treatments such as the PARP inhibitors.17 However, BRCA1/2 genetic testing and counseling services are not available in majority of oncology centers in SSA. Barriers to implementation of genetic testing and counseling services in SSA include but not limited to high costs of establishing and continuous running of testing services, and limited capacity among health services providers. In Tanzania, BRCA1/2 genetic testing and counseling are not available in either public or private oncology centers. Patients who are recommended to undergo these services may be referred to the Republic of South Africa or overseas.
Studies across different populations report the prevalence and spectrum of germline SNV/indel and CNVs in BRCA1/2. Despite the commonalities in study designs, varying results have been reported due to differences in study population and geographic locations where they are undertaken.18 The identification of germline BRCA1/2 population-specific variants is a crucial milestone toward establishing and incorporating BRCA1/2 genetic testing and counseling into clinical practice. The BRCA1/2 information regarding the prevalence and spectrum is limited in the fast-growing African populations, with a few findings from Northern Africa,19–21 Southern Africa,22,23 and Western Africa.24,25 In an attempt to understanding the prevalence and spectrum of germline BRCA1/2 variants in indigenous populations of Eastern Africa, we initiated a study that analyzed the prevalence of germline SNV/indel pathogenic variants and CNVs in BRCA1/2 in Tanzanian BC patients unselected for age at diagnosis and family history of cancer. To achieve this goal, we employed NGS technology to analyze DNA samples of 100 BC patients. In addition, we employed Sanger sequencing, and multiplex ligation-dependent probe amplification (MLPA) as confirmatory assays for SNV/indel pathogenic variants, and CNVs, respectively. Furthermore, we determined the association of identified variants with the patients' clinico-histopathological and socio-demographic characteristics. To the best of our knowledge, this is the first genetic study employing NGS to analyze the germline BRCA1/2 variants among BC patients at the only tertiary cancer-specialized public facility in Tanzania.
MATERIALS AND METHODS
Study population
A total of 100 BC patients participated in the present study. The BC patients reported here were recruited between September 2019 and May 2021 at the Ocean Road Cancer Institute (ORCI): the only tertiary cancer-specialized public hospital located at the shores of the Indian Ocean in Dar es Salaam, Tanzania. The ORCI receives BC referral cases from all regions of the country for chemotherapy, immunotherapy, endocrine therapy, radiotherapy, and palliative care. Further details about the ORCI facility are described elsewhere.26,27 To be eligible for this study, patients had to fulfill the following inclusion criteria: being indigenous Tanzanian, and having a complete histopathological report that shows the estrogen receptor (ER), progesterone receptor (PR), and human epidermal growth factor receptor-2 (HER-2) statuses. The exclusion criteria were: being non-indigenous Tanzanian, failure/denial to sign a consent form, and having incomplete histopathological report in the hospital medical file. Face-to-face interviews were conducted to capture patient's socio-demographic characteristics, family history of cancer, and reproductive behavior information. Clinical data on BC presentation, diagnosis, and staging were extracted from patients' hospital records. The study protocol was approved by the Ethics Committee of the Tanzania National Institute for Medical Research (NIMR) permit no. NIMR/HQ/R.8a/Vol. IX/3255, and the ORCI Institution Review Board permit no. 10/Vol/XX/16. A written informed consent form from each participant was obtained.
Blood sample collection and
Peripheral blood sample (5 ml) was collected from the antecubital vein of each study participant and stored in EDTA tubes until used for DNA extraction. Genomic DNA was manually extracted from blood leucocytes using High Pure PCR Template Preparation Kit no. 11796828001 (Roche Life Science) following manufacturer's recommendations. The DNA integrity was assessed by running a 0.8% agarose gel electrophoresis and viewed under UV light (Gel Doc™ XR+, BIORAD, USA). The quantity and quality were determined using NanoDrop™ 2000 spectrophotometer (Thermo Scientific). The DNA yield minimum of 5 ng/μl and the ranges of OD between 1.8 and 2 at A260 nm/280 nm were considered ideal for downstream processes.
BRCA1/2 variants on DNA were examined with NGS technique using the Multiplicom BRCA MASTR Plus kit (Agilent Technologies) following the manufacturer's instructions. In brief, for each patient, 280 ng of genomic DNA was used to perform multiplex polymerase chain reactions (PCR) to amplify targeted regions. Thereafter, the multiplexed tagged regions were purified using the Agencourt AMPure XP Beads (Beckman Coulter) and quantified using the Qubit Fluorimeter. An equal volume of multiplexed tagged reactions from the same sample was taken and combined in LoBind Eppendorf and a sample pool was formed. The sample pool concentration was measured in the Qubit Fluorimeter. After determining the appropriate concentration, sequence analysis was performed using Illumina NextSeq (Illumina® NextSeq™ Illumina).
Bioinformatics analysis
Generated raw data from NGS analysis were uploaded to the SOPHIA DDM™ (Sophia Genetics SA) platform and analyzed referring to the Hg19 reference genome (Genome Reference Consortium human build 37, GRCh37). Variants and CNVs analyses of the samples are listed on SOPHIA DDM™. Genetic variants classification was done according to the guidelines of the American College of Medical Genetics and Genomics (ACMG) by a five-tier system (a pathogenic, likely pathogenic, variant of unknown significance (VUS), likely benign, or benign).28 The NM_007294.4 and NM_000059.3 cDNA sequences served as reference transcripts for BRCA1 and BRCA2, respectively. The presence of variants was evaluated using databases such as Human Genome Mutation Database (HGMD) professional, single nucleotide polymorphism database (dbSNP), and public archive of interpretations of clinically relevant variants (ClinVar) for clinical importance after classification. All SNV/indel pathogenic variants in BRCA1/2 and CNVs identified by NGS were confirmed via Sanger sequencing and MLPA assay, respectively.
Sanger sequencing was performed to confirm the NGS-detected germline BRCA1/2 pathogenic variants. Sequencing primers (Supplementary Table S1) flanking the identified pathogenic variants were designed using Primer 3.0. The PCR products were purified using an ExoSAP-IT™ PCR Product Cleanup Reagent (Applied Biosystems), as per the manufacturer's instructions. Sequencing reactions were performed using BigDye® Terminator v3.1 Cycle Sequencing Kit (Applied Biosystems) on an ABI 96-capillary 3130xl DNA Analyzer (Applied Biosystems), followed by sequences analysis using MEGA-X v6 software.
The sample suspected of having CNV in BRCA1 by NGS analysis was confirmed by MLPA assay using the SALSA P002-D10720 (MRC-Holland) following manufacturer's recommendations. Fragment analysis of amplified DNA was run on an ABI-3130XL genetic analyzer (Applied Biosystems). Ten normal controls were included as references in the MLPA run. Evaluation of MLPA results was performed in a Coffalyser software v.140721.1958. All peak heights were normalized, where a ratio between 0.7 and 1.3 was regarded as normal.
Statistical analyses
The data were analyzed in Statistical Package for the Social Sciences 25.0 (IBM SPSS, Inc.). Differences between groups about clinico-pathological, anthropometric, socio-demographic, and reproductive characteristics were examined using chi-square (χ2) tests. The results were expressed as the mean ± standard deviation, or percentage, wherever appropriate. The p-value ˂0.05 was considered statistically significant.
RESULTS
Characteristics of the study cohort
The 100 BC patients analyzed in the present series were unselected for family history of cancer and age at diagnosis. The mean age at BC diagnosis was 44.04 ± 11.54 years. Fifty-two percent of patients had carcinoma of the left breast, 46% of the right breast, and 2% had carcinoma of both breasts. Majority (91%) of the participants were diagnosed with invasive ductal carcinoma of no specific type (IDC-NST). Luminal-A and triple-negative subtypes of BC were of comparable proportion, each accounting for 36% and 35%, respectively. A few (18%) of the participants had a history of BC and other cancers in their families. The socio-demographic and clinico-histopathological features of the cohort are given in Table 1.
TABLE 1 Socio-demographic and clinico-histopathological characteristics of the study population
Characteristic | Number of patients, n (%) |
Age at breast cancer diagnosis (Mean ± SD) | 44.04 ± 11.54 |
˂40 | 40 (40%) |
40–49 | 39 (39%) |
≥50 | 21 (21%) |
Patient's origin | |
Central zone | 12 (12%) |
Eastern zone | 16 (16%) |
Lake zone | 9 (9%) |
Northern zone | 24 (24%) |
Southern highlands zone | 18 (18%) |
Southern zone | 14 (14%) |
Western zone | 7 (7%) |
BMI | |
Underweight (below 18.5) | 3 (3%) |
Normal (18.5–24.9) | 40 (40%) |
Overweight (25.0–29.9) | 23 (23%) |
Obese (30.0+) | 34 (34%) |
Family history of cancer | |
Yes | 18 (18%) |
No | 82 (82%) |
TNM pathological stage | |
Stage I | 0 (0%) |
Stage II | 14 (14%) |
Stage III | 56 (56%) |
Stage IV | 30 (30%) |
Histological type | |
IDC-NST | 91 (91%) |
ILC | 6 (6%) |
Others | 3 (3%) |
Laterality | |
Left | 52 (52%) |
Right | 46 (46%) |
Bilateral | 2 (2%) |
ER status | |
Positive | 49 (49%) |
Negative | 51 (51%) |
PR status | |
Positive | 31 (31%) |
Negative | 69 (69%) |
HER-2 status | |
Positive | 29 (29%) |
Negative | 71 (71%) |
Molecular subtype | |
Luminal-A | 36 (36%) |
Luminal-B | 17 (17%) |
Triple-negative | 35 (35%) |
HER-2 enriched | 12 (12%) |
Menopausal status | |
Post-menopause | 38 (38%) |
Pre-menopause | 62 (62%) |
Breastfeeding | |
Yes | 83 (83%) |
No | 17 (17%) |
Contraceptives use | |
Yes | 45 (45%) |
No | 55 (55%) |
Ever been pregnant | |
Yes | 90 (90%) |
No | 10 (10%) |
Alcohol consumption | |
Yes | 18 (18%) |
No | 82 (82%) |
Smoke exposure | |
Yes | 0 (0%) |
No | 100 (100%) |
In our analysis, we detected 6% SNV/indel pathogenic variants from unrelated BC patients. Five percent of these variants were identified in BRCA1, and 1% in BRCA2. Of these six SNV/indel pathogenic variants, four were frameshift, one was a missense, and the last one was a splice donor (Figure 1). With the exception of the splice donor variant, the rest of SNV/indel BRCA1/2 pathogenic variants are illustrated on the protein structures in Figure 2. All the pathogenic variants identified in our study were verified in a ClinVar database and are detailed in Table 2 and Supplementary Figure S1. Five of six BRCA1/2 SNV/indel pathogenic mutation carriers were diagnosed with triple-negative subtype, only one patient was diagnosed with luminal-B subtype, and five of six patients were diagnosed with BC at ≤45 years.
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TABLE 2 Germline
Gene | Variant at DNA level | Variant at protein level | Exon | Variant type | Molecular consequences | Clinical significance (ClinVar) | dbSNP ID | Age at breast cancer diagnosis | TNM stage | Molecular subtype | Family history of cancer |
BRCA1 | c.212 + 1G>A | — | 4 | SNV | Splice donor | Pathogenic | rs80358042 | 32 | III | Triple-negative | No |
BRCA1 | c.4065_4068del | p.Asn1355fs | 10 | Deletion of TCAA | Frameshift | Pathogenic | rs80357508 | 34 | Unknown | Triple-negative | Yes: BC, Paternal Aunt, dx?, dcd 55 |
BRCA1 | c.2090del | p.Phe697fs | 10 | Deletion of A | Frameshift | Pathogenic | rs886039996 | 40 | II | Luminal-B | Yes: BC, Maternal Aunt, dx 50, dcd 52 |
BRCA1 | c.5030_5033del | p.Thr1677fs | 16 | Deletion of CTTA | Frameshift | Pathogenic | rs80357580 | 53 | III | Triple-negative | No |
BRCA1 | c.5123C>A | p.Ala1708Glu | 17 | SNV | Missense | Pathogenic | rs28897696 | 29 | II | Triple-negative | No |
BRCA2 | c.6591_6592del | p.Glu2198fs | 11 | Deletion of TG | Frameshift | Pathogenic | rs80359605 | 45 | III | Triple-negative | No |
Spectrum of
Five different germline pathogenic variants detected in BRCA1 in the current series were named with reference to sequences of accession number NM_007294.4 (DNA) and NP_009225.1 (protein). The first SNV pathogenic variant identified in this study was the c.212 + 1G>A. The name of this variant at protein level is still unknown. This is a spice donor variant designated as IVS5 + 1G>A in some literature and BIC database. The variant results from the substitution of glycine by alanine after exon 4 of the BRCA1. A patient identified to harbor this pathogenic variant in our cohort was a single lady diagnosed with BC at age of 32. This patient had no family history of cancer and presented with IDC-NST of the left breast. Immunohistochemistry analysis of her tumor showed a triple-negative status.
The c.4065_4068del (p.Asn1355fs) was the first indel pathogenic BRCA1 variant identified in this study. This is a frameshift variant arising as a consequence of deletion of TCAA residues in exon 10 (c.4065_4068delTCAA). The variant was detected in a patient who presented with IDC-NST of the right breast at age of 34. This patient was diagnosed with triple-negative BC and had her paternal aunt died of BC at 55 years (Figure 3).
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The second indel BRCA1 pathogenic variant was c.2090del (p.Phe697fs). This is a frameshift variant due to deletion of adenine residue at position 2090 in exon 10 of a coding DNA (cDNA), causing an alteration of amino acid sequence from position 697 in a corresponding protein, that consequently leads to premature termination of translation. We identified this variant in a patient diagnosed with IDC-NST of the left breast at the age of 40. Her tumor was characterized as ER-positive, PR-positive, and HER-2-positive (Luminal-B subtype). The patient harboring this variant reported a family history of BC in her maternal aunt who died at 52 years (Figure 3).
The third indel pathogenic variant detected in BRCA1 was c.5030_5033del (p.Thr1677fs). This is a frameshift variant located in exon 16 of BRCA1 resulting from a deletion of CTTA nucleotide residues at position 5030 to 5033 of the cDNA, thus, creating a premature translational stop signal: p.Thr1677Ilefs*2. This variant locates within the BRCT domain of the BRCA1 protein (Figure 2) and was detected in a patient diagnosed with triple-negative BC at 53 years of age. The patient had no family history of cancer and presented with IDC-NST of the right breast.
The c.5123C>A (p.Ala1708Glu) variant was the second SNV BRCA1 pathogenic variant identified in the patients group. This is a missense variant arising as a result of substitution of cytosine residue by a thiamine at position 5123 of exon 17 of the cDNA. The substitution results in a change of alanine to glutamine residue at position 1708 of a BRCA1 protein. This variant is located in the BRCT domain of the BRCA1 protein (Figure 2), a region that interacts with several other proteins. The BC patient harboring this variant in our series was diagnosed with ILC of the left breast at the age of 29. The tumor immunohistochemistry results revealed a triple-negative status. The patient was an overweight, non-smoker, non-drinker, nulliparous married female.
The c.6591_6592del (p.Glu2198fs) was the only indel pathogenic variant detected in BRCA2 in this study. This variant is a deletion of two nucleotides (TG) in exon 11 of the cDNA at position 6591 to 6592. The deletion causes a frameshift which changes a glutamate at position 2198 by creating a premature stop codon at position 4 of the new reading frame. This variant results in a premature termination codon, predicted to cause an absence or a truncated protein. In our cohort, this variant was detected in a patient diagnosed with IDC-NST of the right breast at age of 45. The patient was a peasant and had no family history of cancer. The immunohistochemistry analysis revealed a triple-negative status of her tumor.
Among the 100 successfully sequenced patients in the current series, only one patient was identified to have a VUS. The identified VUS: c.4042T>A (p.Cys1348Ser) (Figure 2) is a SNV involving substitution of thiamine nucleotide by an adenine in exon 11 of BRCA2, resulting in substitution of cytosine to serine at position 1348 of the BRCA2 protein. The patient identified to harbor this VUS was diagnosed with triple-negative BC at a young 29 years of age. Additionally, we identified 19 and 17 homozygous variants in BRCA1 and BRCA2, respectively, in our cohort. All of the 36 variants detected had been reported elsewhere and exist in the ClinVar database where they are accorded a benign clinical significance status (Table 3).
TABLE 3 Germline
Gene | Variant at DNA level | Variant at protein level | Exon | Variant type | Molecular consequences | Clinical significance (ClinVar) | dbSNP ID | Number of carriers |
BRCA1 | c.19-115T>C | — | 1 | SNV | — | Benign | rs3765640 | 1 |
BRCA1 | c.442-34C>T | — | 6 | SNV | — | Benign | rs799923 | 1 |
BRCA1 | c.548-58del | — | 7 | Deletion T | — | Benign | rs8176144 | 1 |
BRCA1 | c.1067A>G | p.Gln356Arg | 10 | SNV | Missense | Benign | rs1799950 | 1 |
BRCA1 | c.1843TCT | p.Ser616del | 10 | 3 bp Microsatellite | In frame mutation | Benign | rs80358329 | 1 |
BRCA1 | c.2077G>A | p.Asp693Asn | 10 | SNV | Missense | Benign | rs4986850 | 1 |
BRCA1 | c.2082C>T | p.Ser694= | 10 | SNV | Synonymous | Benign | rs1799949 | 3 |
BRCA1 | c.2311 T>C | p.Leu771= | 10 | SNV | Synonymous | Benign | rs16940 | 1 |
BRCA1 | c.2612C>T | p.Pro871Leu | 10 | SNV | Missense | Benign | rs799917 | 73 |
BRCA1 | c.3113A>G | p.Glu1038Gly | 10 | SNV | Missense | Benign | rs16941 | 1 |
BRCA1 | c.3548A>G | p.Lys1183Arg | 10 | SNV | Missense | Benign | rs16942 | 3 |
BRCA1 | c.4097-141A>C | — | 10 | SNV | — | Benign | rs799916 | 1 |
BRCA1 | c.4308 T>C | p.Ser1436= | 12 | SNV | Synonymous | Benign | rs1060915 | 1 |
BRCA1 | c.4485-63C>G | — | 13 | SNV | — | Benign | rs273900734 | 1 |
BRCA1 | c.4837A>G | p.Ser1613Gly | 15 | SNV | Missense | Benign | rs1799966 | 3 |
BRCA1 | c.4987-68A>G | — | 15 | SNV | — | Benign | rs8176234 | 1 |
BRCA1 | c.4987-92A>G | — | 15 | SNV | — | Benign | rs8176233 | 1 |
BRCA1 | c.5152 + 66G>A | — | 16 | SNV | — | Benign | rs3092994 | 1 |
BRCA1 | c.5152 + 85del | — | 16 | Deletion T | — | Benign | rs8176259 | 3 |
BRCA2 | c.425 + 67A>C | — | 3 | SNV | — | Benign | rs11571610 | 1 |
BRCA2 | c.426-89T>C | — | 3 | SNV | — | Benign | rs3783265 | 1 |
BRCA2 | c.631 + 183T>A | — | 5 | SNV | — | Benign | rs3752451 | 1 |
BRCA2 | c.865A>C | p.Asn289His | 9 | SNV | Missense | Benign | rs766173 | 1 |
BRCA2 | c.1114A>C | p.Asn372His | 10 | SNV | Missense | Benign | rs144848 | 1 |
BRCA2 | c.1365A>G | p.Ser455= | 10 | SNV | Synonymous | Benign | rs1801439 | 1 |
BRCA2 | c.2229 T>C | p.His743= | 11 | SNV | Synonymous | Benign | rs1801499 | 1 |
BRCA2 | c.2971A>G | p.Asn991Asp | 11 | SNV | Missense | Benign | rs1799944 | 2 |
BRCA2 | c.3807 T>C | p.Val1269= | 11 | SNV | Synonymous | Benign | rs543304 | 2 |
BRCA2 | c.4042 T>A | p.Cys1348Ser | 11 | SNV | Missense | VUS | rs199863034 | 1 |
BRCA2 | c.4563A>G | p.Leu1521= | 11 | SNV | Synonymous | Benign | rs206075 | 88 |
BRCA2 | c.6513G>C | p.Val2171= | 11 | SNV | Synonymous | Benign | rs206076 | 87 |
BRCA2 | c.7397 T>C | p.Val2466Ala | 14 | SNV | Missense | Benign | rs169547 | 87 |
BRCA2 | c.7435 + 53C>T | — | 14 | SNV | — | Benign | rs11147489 | 1 |
BRCA2 | c.7806-14 T>C | — | 15 | SNV | — | Benign | rs9534262 | 1 |
BRCA2 | c.8755-66 T>C | — | 20 | SNV | — | Benign | rs4942486 | 1 |
BRCA2 | c.10234A>G | p.Ile3412Val | 27 | SNV | Missense | Benign | rs1801426 | 2 |
BRCA2 | c.*105A>C | — | 27 | SNV | 3' UTR | Benign | rs15869 | 1 |
Copy number variation
MLPA assay was applied to confirm the CNV results obtained after NGS analysis. It was confirmed that none of the patients harbored CNVs in either BRCA1 or BRCA2 in this cohort.
Associations between germline
The associations of germline BRCA1/2 pathogenic variants of 100 BC patients with their clinicohistopathological characteristics are summarized in Table 4. BRCA1/2 variant carriers were significantly more likely to be triple-negative subtype of BC than non-BRCA1/2 carriers (p = 0.019). No significant association was found in the status of the age at BC diagnosis, family history of cancer, histological type, ER, PR, HER-2, menopausal, and BMI.
TABLE 4 Associations of detected germline
Characteristic | BRCA1/2 pathogenic variant carriers | BRCA1/2 variant non-carriers | p-value |
Age at breast cancer diagnosis | |||
˂40 | 3 (50%) | 37 (39.4%) | 0.684 |
40–49 | 2 (33.3%) | 37 (39.4%) | |
≥50 | 1 (16.7%) | 20 (21.3%) | |
Histological type | |||
IDC-NST | 5 (83.3%) | 86 (91.5%) | 0.695 |
ILC | 1 (16.7%) | 5 (5.3%) | |
Others | 0 (0%) | 3 (3.2%) | |
Family history of cancer | |||
Yes | 2 (33.3%) | 16 (17%) | 0.294 |
No | 4 (66.7%) | 78 (83%) | |
ER status | |||
Positive | 1 (16.7%) | 48 (51.1%) | 0.112 |
Negative | 5 (83.3%) | 46 (48.9%) | |
PR status | |||
Positive | 1 (16.7%) | 30 (31.9%) | 0.393 |
Negative | 5 (83.3%) | 64 (68.1%) | |
HER-2 status | |||
Positive | 1 (16.7%) | 28 (29.8%) | 0.437 |
Negative | 5 (83.3%) | 66 (70.2%) | |
Molecular subtype | |||
Luminal-A | 0 (0%) | 36 (38.3%) | 0.019 |
Luminal-B | 1 (16.7%) | 16 (17%) | |
Triple-negative | 5 (83.3%) | 30 (31.9%) | |
HER-2 enriched | 0 (0%) | 12 (12.8%) | |
Menopausal status | |||
Pre-menopause | 3 (50%) | 59 (62.8%) | 0.413 |
Post-menopause | 3 (50%) | 35 (37.2%) | |
BMI | |||
Underweight (˂18.5) | 0 (0%) | 4 (4.3%) | 0.871 |
Normal (18.5–24.9) | 3 (50%) | 37 (39.4%) | |
Overweight (25.0–29.9) | 1 (16.7%) | 20 (21.3%) | |
Obese (≥30.0) | 2 (33.3%) | 33 (35.1%) |
DISCUSSION
In SSA countries, only a few studies have explored hereditary BC through genetic analysis of breast cancer susceptibility genes such as BRCA1, BRCA2, and others. Access to genetic testing remains a challenge in many SSA countries and is not a component of routine BC management practices. The germline BRCA1/2 pathogenic variants are widely reported to play a substantial role in BC predisposition in transitioned countries, while very little is known from developing countries of SSA, despite the increasing cases from year to year.1 To the best of our knowledge, the contribution of germline BRCA1/2 pathogenic variants to BC incidences among the indigenous Tanzanian women has never been studied. Therefore, this is the first study reporting the frequency and spectrum of germline SNV/indel and CNVs in BRCA1/2 among the Tanzanian BC patients unselected for family history of cancer and age at diagnosis. Also, the study presents the associations of identified BRCA1/2 pathogenic variants with the patients' clinico-histopathological features.
In the present study, we applied NGS, Sanger sequencing, and MLPA to screen germline SNV/indel and CNVs in BRCA1/2 among 100 BC patients enrolled at the only tertiary cancer-specialized public hospital located in business capital, Dar es Salaam, Tanzania. The design of this study enabled us to recruit a cohort of patients reflecting the ideal representation of the indigenous Tanzanian population from all regions of the country. The coding exons and intron/exon junctions of BRCA1/2 were carefully sequenced. The mean age at diagnosis of our cohort was 44.04 ± 11.54 years. Our cohort was younger compared to previous BC cohorts studied in Tanzania, in which two independent studies reported that an average age of BC patients at diagnosis was around 51 years.4,29
We observed an overall 6% frequency for germline SNV/indel pathogenic variants and CNVs in BRCA1/2. Among them, 5% of variants were detected in BRCA1 and were either a SNV or a deletion. The remaining 1% variant was a deletion detected in BRCA2. All SNV/indel pathogenic variants (c.212 + 1G>A, c.4065_4068del, c.2090del, c.5030_5033del, c.5123C>A, and c.6591_6592del) were detected in six unrelated patients. All the pathogenic variants identified in our cohort were mentioned in ClinVar database and are given in Table 2. Despite the fact that our cohort was not selected for age at diagnosis, the prevalence of germline BRCA1/2 pathogenic variants observed does not differ significantly from that observed in the Rwandan BC patients diagnosed with the disease before 35 years.12 Our findings also agree with other scholars' findings from unselected Chinese BC patients,30 Sweden,31 and Bahrain that analyzed 25 patients selected for early onset of the disease and family history of cancer.32 However, the prevalence observed in our cohort (6%) is lower compared to that reported in Uganda and Cameroon combined,33 Morocco,34 and Mexico.35 The prevalence of germline BRCA1/2 pathogenic variants between studies may possibly vary by race/ethnicity of population, study sample size, and different enrollment criteria.
In our series, we found that BRCA1 has a higher frequency of germline pathogenic variants than BRCA2 (5 variants vs 1 variant). Our findings are in concordance with some studies34–36 and differ from studies that reported a higher frequency of BRCA2 over BRCA1.12,37 A few studies have reported co-dominance in their overall analysis.31,33 These discrepancies call for more consistent large-scale BRCA1/2 studies across different populations to build a stronger conclusion regarding the prevalence and spectrum of pathogenic variants in the BRCA1/2.
BRCA1 variants occur mainly in four domains of the corresponding protein: N-terminus ring domain (exon 1–6), BRCT associate domain (exon 10–12), and two BRCT domains at the C-terminus (exon 15–23) (Figure 2). Variants in these domains may disrupt the DNA repair, control of cell cycle, and other functions of the BRCA1 protein.30 In the present study, identified pathogenic variants were located in exons 4, 10, 16, and 17 of the BRCA1. Exon 10 had two pathogenic variants, whereas the other exons had one pathogenic variant each. BRCA2 codes for a protein made up of helical domain (for DNA-binding), three oligonucleotide/oligosaccharide binding domains that encompass a tower domain, and seven to eight BRC repeats. In the present study, the only detected pathogenic variant occurred in a region of exon 11 of BRCA2 outside the domains of a BRCA2 protein (Figure 2). Variant in this exon may disrupt the interaction of BRCA2 with other proteins such RAD51 and TP53 that work together to mediate DNA damage repair.38
We did not detect any new/novel BRCA1/2 variant specific for the Tanzanian population. Thus, the spectrum of the germline BRCA1/2 variants observed in our cohort does not differ from other populations. The germline BRCA1/2 pathogenic variants are widely reported among families with a strong history of breast/ovarian cancer,10,39,40 cohort of early-onset BC patients,41 triple-negative BC patients,42 pancreatic cancer patients,9 and among patients with prostate cancer.8,43 Among the pathogenic variant carriers identified in our series, five of six patients were diagnosed with triple-negative BC, and five of six patients were diagnosed with the disease before the age of 50. The combined characteristics of these patients strongly suggest a possible genetic predisposition to BC. Furthermore, two of six BRCA1/2 pathogenic variant carriers reported a family member who died of BC (Figure 3). These two patients were from rural areas of Tanzania and had at least one family member that died of possible undiagnosed cancer, as rural area dwellers are described with limited cancer awareness and limited reach to cancer diagnostic facilities.
A very low number of VUS was observed in our analysis. We noted one VUS: the c.4042T>A (p.Cys1348Ser) in exon 11 of BRCA2 in one patient. Our fewer VUS finding is consistent with that of the Moroccan population,34 and contrary to that observed in the young Rwandan population.12 While there is insufficient evidence to determine the role of this variant in BC, its clinical significance remains elusive. Of a special interest, the patient harboring the only VUS in our cohort was diagnosed with triple-negative BC at 29 years of age. She was also determined to harboring the pathogenic variant: c.5123C>A (p.Ala1708Glu). We suggest a close follow-up of this patient and her family to get more insight of the BRCA1/2 variants in her blood relatives.
In our series, we also aimed to identify CNVs in BRCA1/2 genes contributing to BC susceptibility. We used MLPA assay to validate the CNV results obtained after NGS analysis. We did not confirm the presence of any CNVs in either BRCA1/2 among the 100 BC patients. The prevalence of CNVs has been investigated in the North African populations and elsewhere yielding contradicting results, most notably the absence of CNVs in BRCA2.19,20 Similar to our findings, a study in Morocco reported the absence of CNVs in both BRCA1/2 genes in patients with high risk for HBOC.34 In China, the CNVs prevalence of 16.1% and 0% was observed in BRCA1 and BRCA2, respectively.15 Findings from a Turkish cohort of patients at high risk for HBOC reported a low CNVs prevalence of 2%, detected only in BRCA1.44 A study from the Republic of South Africa involving mixed races of Black Africans (277), Indians (140), White non-Afrikaners (85), White Afrikaners (110), and colored (132) revealed the overall low prevalence of 1.1% (8/744). Two of 277 (0.7%) black Africans in their series were positive for CNVs.22 Taken together, our results and that from the Republic of South Africa, the prevalence of CNVs in BRCA1/2 genes among black Africans seems to be lower. The role of BRCA1/2 CNVs among black Africans needs further investigation in larger cohorts in order to understand their contribution to BC incidence.
Furthermore, in our cohort, we analyzed the association of some clinico-histopathological characteristics with identified germline BRCA1/2 pathogenic variants. We found an association between the molecular subtype and the BRCA1/2 pathogenic variants' carrier status. Our data showed that the BRCA1/2 pathogenic variant carriers were more likely to be diagnosed with the triple-negative subtype of BC, which is known as an aggressive subtype with limited therapeutic options. The triple-negative tumors lack the expressions of ER, PR, and HER-2 markers, thus, do respond to neither hormonal therapy such as tamoxifen nor HER-2 therapy such as trastuzumab45: the most attainable therapeutic options in SSA. Our results relate to those reported in Morocco,34 and China.15 Thus, this study recommends the establishment of BRCA1/2 genetic testing as a component of BC treatment package in Tanzanian population, particularly in patients diagnosed with triple-negative subtype.
Although our findings report an overall of 6% prevalence of germline SNV/indel pathogenic variants and CNVs in BRCA1/2 among Tanzanian BC patients, this figure cannot adequately account for hereditary BC cases in Tanzania. It is well established that some BC patients who test negative for BRCA1/2 pathogenic variants could be carriers of various pathogenic variants in other BC predisposition genes such as TP53, PALB2, PTEN, ATM, STK11, CHEK2, and others.12,33,46 A multi-gene panel analysis is highly recommended to give a comprehensive picture of hereditary BC cases in Tanzania.
Our study ranks among the very few based in SSA that explore prevalence and spectrum of germline SNV/indel BRCA1/2 pathogenic variants and CNVs among indigenous (Black) Africans. However, it comes with a few limitations. Firstly, our sample size is relatively small, involving only 100 BC patients, and this mainly was due to budget constraints. Secondly, our cohort was recruited at the only tertiary cancer-specialized public facility (ORCI). There are a number of BC patients from regional hospitals across the country referred to this cancer-specialized facility for chemotherapy, radiotherapy, hormonal therapy, or palliative care, but do not make it due to social and financial reasons. Therefore, our study might have missed the representation of these patients.
CONCLUSIONS
This is the first study in which both germline SNV/indel pathogenic variants and CNVs in BRCA1/2 genes have been analyzed through NGS, Sanger sequencing, and MLPA technologies in Tanzanian women with BC. Our findings showed a relatively high overall prevalence (6%) of germline BRCA1/2 pathogenic variants detected in six unrelated patients. We did not detect any novel germline BRCA1/2 pathogenic variant in our cohort, therefore, the spectrum of pathogenic variants identified in this study does not differ from others in the literature. Our findings support the importance of genetic risk factors in the etiology of BC in Tanzanian population and furthermore, suggest the absolute necessity of improving genetic cancer risk assessment such as BRCA1/2 genetic testing and counseling services for BC patients in Tanzania. The prevalence assessment of novel and/or recurrent BRCA1/2 pathogenic variants in the population of Tanzania will enable the development of population-specific, inexpensive genetic tests and will enhance the use of personalized treatment in Tanzania. Thus, the move to individualized BC treatment can be realized in the near future.
AUTHORS' CONTRIBUTIONS
LPR and FA conceived the study and design; LPR, LAN, and ND enrolled patients and collected their clinical data; LPR, BKG, HY, and FA carried out laboratory analyses; BKG, SLL, and HY performed bioinformatics analysis; LPR, GA, and FA performed statistical analysis; LPR, FA, GA, and HY wrote the first draft of the manuscript. All authors read and approved the final manuscript.
ACKNOWLEDGMENTS
The study was supported by the University of Dar es Salaam (UDSM), grant no: MCHAS-20131, and the Ministry of Education, Science, and Technology (MOEST) through 2018 MOEST sponsorship to Linus Paul Rweyemamu. The authors are grateful to the staff and patients at ORCI for their participation in this work. Also, the authors thank MUHAS Genetic Laboratory for hosting molecular activities, and the Laboratory of Cancer Genetics in Oncology Institute at Istanbul University, Turkiye, for managing the NGS and bioinformatics analysis. Extended appreciation to Maliha Saggaf for proofreading the manuscript.
CONFLICT OF INTEREST
The authors declare no conflicts of interest.
DATA AVAILABILITY STATEMENT
The data generated and/or analyzed during the present study are available from the corresponding authors on reasonable request.
ETHICAL APPROVAL STATEMENT
The study protocol was approved by the Institutional Review Board of Ocean Road Cancer Institute (10/Vol/XX/16), and National Institute for Medical Research (NIMR/HQ/R.8a/Vol.IX/3255). Written informed consent was obtained from each participant.
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Abstract
Background
Growing prevalence and aggressiveness of breast cancer (BC) among East African women strongly indicate that the genetic risk factor implicated in the etiology of the disease may have a key role. Germline pathogenic variants in
Methods
One hundred BC patients were examined for
Results
Six germline SNV/indel pathogenic variants were detected from six unrelated patients. Five of these variants were identified in
Conclusions
Our study provides first insight into BC genetic landscape by the use of NGS in the under‐represented East African Tanzanian populations. Our findings support the importance of genetic risk factors in BC etiology in Tanzania and showed a relatively high overall prevalence (6%) of germline
You have requested "on-the-fly" machine translation of selected content from our databases. This functionality is provided solely for your convenience and is in no way intended to replace human translation. Show full disclaimer
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1 Department of Molecular Biology and Biotechnology, University of Dar es Salaam, Dar es Salaam, Tanzania, Mbeya College of Health and Allied Sciences, University of Dar es Salaam, Mbeya, Tanzania
2 Division of Cancer Genetics, Department of Basic Oncology, Institute of Oncology, Istanbul University, Istanbul, Turkiye
3 DESAM Research Institute, Near East University, Nicosia, Cyprus, MUHAS Genetic Laboratory, Department of Biochemistry, Muhimbili University of Health and Allied Sciences, Dar es Salaam, Tanzania
4 Academic, Research and Consultancy Unit, Ocean Road Cancer Institute, Dar es Salaam, Tanzania
5 Department of Molecular Biology and Biotechnology, University of Dar es Salaam, Dar es Salaam, Tanzania
6 Division of Cancer Genetics, Department of Basic Oncology, Institute of Oncology, Istanbul University, Istanbul, Turkiye, Department of Medical Biology and Genetics, Faculty of Medicine, Istanbul Arel University, Istanbul, Turkiye
7 MUHAS Genetic Laboratory, Department of Biochemistry, Muhimbili University of Health and Allied Sciences, Dar es Salaam, Tanzania, Department of Rare Diseases, Child Health Institute, Istanbul University, Istanbul, Turkiye