Background
Breast cancer is the most common cancer amongst South African women with a lifetime risk of 1 in 32 [
1]. South Africa is a country consisting of citizens from diverse ethnic groups. These include: black/African (79.8 %), white/Caucasian (8.7 %), mixed ancestry/coloured (9.0 %) and Indian/Asian (2.5 %) (Statistics South Africa, 2013) [
2]. According to the most recent report from the National Cancer Registry of South Africa, the lifetime risk of developing breast cancer differs according to ethnicity. The lifetime risk is 1/53 in black women, 1/15 in white women, 1/21 in coloured women and 1/20 in Indian women (National Cancer registry, NHLS, 2006) [
1].
Breast cancer has a strong heritable component, with approximately 15–20 % of cases exhibiting a family history of the disease [
3,
4]. Mutations in genes such as
BRCA1 and
BRCA2 lead to autosomal dominant inherited cancer susceptibility and confer a high lifetime risk of breast cancer, as well as ovarian and other cancers. Recently it was suggested that the risk to develop breast cancer for
PALB2 mutation carriers is as high as the risk borne by
BRCA2 mutation carriers [
5]. Identification of mutations in these genes through clinical genetic testing enables patients to undergo screening and prevention strategies, some of which provide reduced morbidity. In addition, the c.1100delC mutation in
CHEK2 has been identified as a susceptibility allele with incomplete penetrance and is associated with moderate lifetime risks of breast cancer. Data on the prevalence and spectrum of mutations in these genes are widely available for individuals of European descent. However, data for cohorts with African ancestry are scarce [
6].
A few South African studies on mutations in
BRCA1,
BRCA2 and
PALB2 are available [
7‐
10].Three South African population groups exist in which the presence of
BRCA1/2 founder mutations occur; these are the Ashkenazi Jewish population [
11], the Afrikaans population [
7] and the black Xhosa population [
10]. Other family-specific mutations have also been identified, as is typical of populations elsewhere. Table
1 shows data from studies done in South Africa to date. These studies have been performed mostly in white breast cancer patient cohorts. Furthermore, African populations are known to exhibit greater genomic diversity when compared to white populations, and genetic findings in one population cannot necessarily be extrapolated to another [
12]. Consequently, there is a need to establish the aetiology of inherited breast cancer in this population. The epidemiology of breast cancer in South African black populations exhibits a number of unique trends when compared to other population groups worldwide. The difference in underlying genetic architecture, family structure, limited financial and human resources, limited community knowledge of breast cancer, limited information on family history and historical difficulty accessing health care, makes it more complex to perform risk assessments in these populations [
13]. Overall, the cancer incidence in sub-Saharan Africa is lower as compared to developed countries but there is evidence to suggest changes in the disease burden as the impact of communicable diseases is mitigated [
14]. South African women tend to be diagnosed with breast cancer at younger ages [
15‐
17]. However, the diagnosis only occurs at advanced stage due to the lack of awareness, access to diagnostic centres available and limited screening. Hence, the inclusion criterion for a “young” breast cancer or premenopausal (PM) breast cancer patient was set at 50 years (See Additional file
1: Table S1). While this could be due to a younger population structure, it is possible that these younger women carry unique mutations in certain genes. Breast cancer in young women is correlated with aggressive tumour progression, lack of expression of receptors and poor prognosis [
18]. Furthermore, it is often attributed to a genetic predisposition with germline mutations in the
BRCA1/2 genes [
19‐
22]. Younger women of African descent are known to be in the high-risk group with decreased survival rates [
23].
Table 1
Literature overview on BRCA1 and BRCA2 mutations detected in a South African population
Yawitch & Van Rensburg 2000 [ 51] | Black |
BRCA1
| N/A | 0/206 | 0 | PTT and SSCP/HA; limited to regions with Afrikaner founder mutations |
| White/Ashkenazi Jewish |
BRCA1
| c.68_69delAG | 4/18 | 4.4 | PTT and SSCP/HA |
| White |
BRCA1
| c.329dupA | 1/18 | 1.1 | |
| White |
BRCA1
| c.1008dupA | 1/18 | 1.1 | |
| White |
BRCA1
| c.1352C > A; p.S451* | 1/18 | 1.1 | |
| White/Afrikaner |
BRCA1
| c.1374delC | 2/18 | 2.2 | |
| White/Afrikaner |
BRCA1
| c.2641G > T; p.E881* | 5/18 | 5.6 | |
| Indian |
BRCA1
| c.4957insC | 1/18 | 1.1 | |
| White/Ashkenazi Jewish |
BRCA1
| c.5266dupC | 3/18 | 3.3 | |
Schlebusch et al., 2010 [ 52] | White/Afrikaner, Ashkenazi Jewish, Black, Indian |
BRCA1
| N/A | 26/129 | 20.2 | PTT and SSCP/HA and MLPA |
| |
BRCA2
| N/A | 43/129 | 33.3 | |
| White/Afrikaner |
BRCA1 + BRCA2
| N/A | 0/36 | | MLPA |
| White/Ashkenazi Jewish |
BRCA1
| Ex23-24del | 1/30 | 3.3 | |
| |
BRCA2
| N/A | 0/30 | | |
Van der Merwe et al., 2012 [ 10] | Coloured |
BRCA1
| c. 1504_1508delTTAAA | 1/105 | 1.0 | PTT and SSCP/HA |
| |
BRCA1
| c. 2641G > T;p. E881* | 1/105 | 1.0 | |
| |
BRCA2
| c. 2826_2829delAATT | 1/105 | 1.0 | |
| |
BRCA2
| c. 5771_5774delTTCA | 4/105 | 3.8 | |
| |
BRCA2
| c. 6448dupTA | 1/105 | 1.0 | |
| |
BRCA2
| c. 7934delG | 1/105 | 1.0 | |
| Black |
BRCA2
| c. 5771_5774delTTCA | 4/16 | 25.0 | |
Schoeman et al., 2013 [ 13] | White, Mixed Ancestry, Black |
BRCA1
| c. 2641G > T; p. E881* | 7/302 | 2.3 | SSCP/HA |
| |
BRCA1
| c. 68_69delAG | 2/302 | 0.7 | |
| |
BRCA1
| c. 1374delC | 2/302 | 0.7 | |
| |
BRCA1
| c. 5266dupC | 1/302 | 0.3 | |
| |
BRCA2
| c. 7934delG | 17/302 | 5.6 | |
| |
BRCA2
| c. 5771_5774delTTCA | 7/302 | 2.3 | |
| |
BRCA1
| N/A | 4/302 | 1.3 | PTT |
| |
BRCA2
| N/A | 5/302 | 1.7 | |
| |
BRCA1
| N/A | 2/302 | 0.7 | Sequencing |
| |
BRCA2
| N/A | 2/302 | 0.7 | Sequencing |
| |
BRCA1
| N/A | 18/302 | 6.0 | |
Another factor that is generally considered as an indicator of genetic susceptibility to breast cancer is the so-called “triple negative” histological phenotype. Approximately 15 % of breast cancers lack the expression of estrogen receptors, progesterone receptors and HER2/NEU receptors and are known as triple negative breast cancer (TNBC) [
24]. This type of breast cancer is associated with an aggressive disease progression, higher histological grade, poor prognosis, high rate of recurrence and decreased survival rates. The frequent occurrence of TNBC is strongly correlated with younger patients of African descent and increased incidence has been noted among black South African breast cancer patients [
16,
17,
25]. The strong association between TNBC and mutations in the
BRCA1 gene, seen in European and American populations [
26,
27], has not been investigated in a South African cohort.
This study aimed to evaluate the contribution of germline
BRCA1,
BRCA2 and
PALB2 mutations and the
CHEK2 c.1100delC allele to breast cancer in a high-risk South African cohort. Individuals included in the study were of different ethnicities (with a majority from the understudied black population) and had been diagnosed with premenopausal breast cancer (less than 50 years) or exhibited the “triple negative” histological phenotype. We chose to analyse
BRCA1,
BRCA2 and
PALB2 as associated risks are well established and clinically relevant. In addition, the prevalence of
CHEK2 c.1100delC was evaluated in this cohort and compared with the prevalence in individuals of European ancestry. We applied a cost efficient next generation sequencing (NGS) approach for analysis of the complete coding regions of
BRCA1,
BRCA2 and
PALB2 [
28]. Furthermore, large rearrangements have been reported in both
BRCA1 and
BRCA2 in several populations which may be missed by sequencing. We therefore complemented the sequencing approach with multiplex ligation-dependent probe amplification (MLPA), for these two genes.
Results
In the total study population (
n = 108), 15 heterozygous pathogenic mutations in 14 patients were identified (12.9 %; 95 % CI = 7.3–20.8 %): six in
BRCA1, seven in
BRCA2; two patients were found to carry
CHEK2 c.1100delC of which one patient also harboured a deleterious
BRCA2 mutation. All mutations were identified by sequencing on Miseq, except a large deletion in
BRCA1 and the
CHEK2 c.1100delC mutation which were detected by MLPA. No unequivocal deleterious mutations were identified in the
PALB2 gene (Table
3).
The distribution of
BRCA1/2 mutations among the different subgroups (TNBC and/or PM) and based on ethnicity is presented in Table
4. A significantly higher mutation detection ratio was obtained within the group of TNBC patients (7/30; 23.3 %; 95 % CI = 9.9–42.3 %) compared to the premenopausal breast cancer group without TNBC (6/78; 7.7 %; 95 % CI = 2.9–16.0 %) (
p = 0.0432). Not surprisingly, the highest mutation detection ratio was obtained within the subgroup of TNBC patients diagnosed before the age of 50 (5/14; 35.7 %; 95 % CI = 12.7–64.9 %).
Table 4
BRCA1 and BRCA2 germline pathogenic mutations identified using NGS and MLPA in a South African cohort divided according to premenopausal diagnosis, triple negative status and ethnicity
Black n = 85 (78.7 %) | n = 7 | n = 70 | n = 8 | 6 (7.1 %) |
Mutations | BRCA1 | BRCA2 | BRCA1 | BRCA2 | BRCA1 | BRCA2 | |
| c.212G > A | - | c.1155G > A | c.582G > A | - | c.5771_5774delTTCA |
| - | - | c.1953_1954insA | c.9097_9098insA | - | - |
White n = 16 (14.8 %) | n = 4 | n = 5 | n = 7 | 5 (31.3 %) |
Mutations | BRCA1 | BRCA2 | BRCA1 | BRCA2 | BRCA1 | BRCA2 | |
| c.181 T > G | c.7934delG | - | c.7934delG | Exon 1a-2 del | - |
| - | - | - | c.5213_5216delCTTA | - | - |
Indian n = 5 (4.6 %) | n = 2 | n = 2 | n = 1 | 2 (40.0 %) |
Mutations | BRCA1 | BRCA2 | BRCA1 | BRCA2 | BRCA1 | BRCA2 | |
| c.3593 T > A | c.8754 + 1G > A | - | - | - | - |
Coloured n = 2 (1.9 %) | n = 1 | n = 1 | 0 | 0 |
Mutations | - | - | - |
Total mutations per subgroup | 5 (35.7 %) | 6 (7.7 %) | 2 (12.5 %) | |
The
BRCA2 c.7934delG Afrikaner founder mutation was identified in 2 (white) patients, one with TNBC and one diagnosed with premenopausal breast cancer. In the black patient population, two previously unreported mutations were identified in
BRCA1 (c.1155G > A and c.1953_1954insA) and one in
BRCA2 (c.582G > A) (see Table
3). Six (6/85; 7.1 %; 95 % CI = 2.6–14.7 %) pathogenic
BRCA1/2 mutations were observed in the black population group and five (5/16; 31.3 %; 95 % CI = 11.0–58.7 %) in the white population group. Two mutations were identified in the Indian group (2/5; 40 %; 95 % CI = 5.3–85.3 %) and no mutations were identified either in
BRCA1 or
BRCA2 in the two coloured individuals studied.
To detect large genomic rearrangements in
BRCA1 and
BRCA2, 108 samples were analysed using MLPA. A white TNBC patient was found to be heterozygous for a
BRCA1 exon 1a-2 deletion. Several deletions including these exons but with different breakpoints have previously been described (for an overview of deletions affecting these exons: [
30]). As the number of large rearrangements reported in
PALB2 is extremely small [
31], MLPA for
PALB2 was not conducted in this cohort.
The CHEK2 mutation (c.1100delC) was observed in 2/108 (1.9 %) patients. Both of these patients were white, premenopausal patients. One of these patients was also positive for a deleterious BRCA2 mutation.
In addition to pathogenic mutations, several VUS were identified: 1 in
BRCA1, 3 in
BRCA2 and 2 in
PALB2. In Table
5 we provide an overview of the variants which were classified as class 3 based on
in silico prediction programs. Three of the four
in silico prediction programs used classified the
BRCA2 variant c.9875C > T and c.7712A > G as “probably damaging”. The
BRCA2 variant c.9875C > T was identified in two black patients. Two of the four prediction programs consulted classified the
PALB2 variants c.118A > G and c.2845 T > C as “probably damaging”.
Table 5
In silico predictions obtained for variants of unknown significance in the South African cohort
Black | c.1843_1845delTCT |
BRCA1
| p.Ser615del | 1 | 3 | - | - | - | - | |
Black | c.4798_4800delAAT |
BRCA2
| p.Asn1600del | 1 | 3 | - | - | - | - | |
Black | c.7712A > G |
BRCA2
| p.Glu2571Gly | 1 | 3 | C0 | Deleterious | Disease causing | Probably damaging | |
Black | c.9875C > T |
BRCA2
| p.Pro3292Leu | 2 | 3 | C0 | Affect protein function | Disease causing | Probably damaging | |
Black | c.118A > G |
PALB2
| p.Arg40Gly | 1 | 3 | C0 | Affect protein function | Polymorphism | Probably damaging | Novel |
Black | c.2845 T > C |
PALB2
| p.Cys949Arg | 1 | 3 | C0 | Affect protein function | Disease causing | Probably damaging | Novel |
Discussion
The current study is the first study performing mutation analyses in
BRCA1, BRCA2 and
PALB2 and determining the frequency of
CHEK2 c.1100delC in triple negative and/or premenopausal breast cancer patients in South Africa through both next generation sequencing and large rearrangement testing. In total we detected 13
BRCA1/2 mutations in our study cohort of 108 patients (12 %; 95 % CI = 6.6–19.7 %), thus reinforcing the important contribution of germline
BRCA1 and
BRCA2 mutations to inherited breast cancer in this mixed South Africa cohort. Two patients harboured a
CHEK2 c.1100delC mutation, one of them in combination with a deleterious
BRCA2 mutation. Previous studies done on South African breast cancer populations reported
BRCA1/2 mutation frequenciess of 1 to 25 % [
7‐
10] (for an overview: see Table
1). The prevalence of mutations in
BRCA1/2 genes in these South African studies varies by inclusion criteria, ethnicity and mutation screening techniques used. None of these studies looked specifically at TNBC or premenopausal patients.
The mutation frequency was higher in the subgroup of TNBC than in the premenopausal breast cancer patients: 23.3 % (7/30) of TNBC patients harbour a pathogenic mutation in either BRCA1 or BRCA2, compared to 12.0 % (11/92) of all premenopausal breast cancer patients.
Various studies have shown the frequency of
BRCA1 mutations to be higher than
BRCA2 in patients exhibiting the triple negative phenotype [
27,
32,
33]. In our study 13.3 % (4/30) of TNBC patients had a pathogenic mutation in
BRCA1 compared to 10 % (3/30) in
BRCA2.
In our premenopausal cohort, the prevalence of
BRCA1 mutations were similar (5/92; 5.4 %) to
BRCA2 mutations (6/92; 6.5 %).
BRCA2 mutations are in general less frequent than
BRCA1 in younger white women with breast cancer [
19]. A relatively high number of
BRCA2 mutations compared to
BRCA1 has been reported in other studies of young black populations [
34‐
36] and is contradictory to the scenario in Western populations. This could be due to the unique genetic background of African patients.
In the black population, the overall frequency of mutations identified was 7.1 % as compared to 31.3 % in the white population. Due to the presence of the BRCA2 c.7934delG Afrikaner founder mutation, BRCA2 is the most important contributor in the white population in our study cohort, while BRCA1 and BRCA2 mutations were observed in equal numbers in the black patients studied. We identified neither the Ashkenazi Jewish nor the Xhosa mutations in our study groups. Our patient cohort was recruited in the region of Johannesburg and is characterized by diverse population structure/ethnic backgrounds. Therefore we did not anticipate finding a large number of founder mutations.
The
CHEK2 c.1100delC allele contributes to a moderate increased breast cancer risk. The frequency is estimated to be only 1 % in familial breast cancer and 0.5 % in early onset breast cancer [
37,
38]. In the Dutch population the prevalence in the general population is 1.1 %, 2.5 % in unselected breast cancer cases, and up to 4.9 % in familial breast cancer cases [
39]. Within our South African cohort we identified this allele in two white patients (2/16 = 12.5 %), but in none of the patients from other ethnicities (0/92). White Afrikaner South Africans mainly descend from Dutch immigrants which could explain the higher percentage of
CHEK2 c.1100delC in this cohort.
Previous studies that aimed to clarify the prevalence of
BRCA1/2 mutations in black populations from other parts of Africa and African Americans have indicated similar rates [
6,
22,
27,
36,
40]; although it is difficult to compare them since eligibility criteria for study participation varies extensively. Churpek et al. [
40] reported a pick-up rate of 26 % (47/180) for pathogenic mutations in a group of black patients with early onset disease (age of diagnosis <45) and 25 % pick-up rate (26/103) for pathogenic mutations in triple negative black patients. Here we report
BRCA1/2 mutation frequency of 14 % (1/7) in the premenopausal triple negative black subgroup. Our overall mutation detection rate of
BRCA1/2 mutations in the black premenopausal breast cancer patients was 6.5 % (5/77). This is similar to the mutation rate reported in a study by Pal et al. [
22] in young black African American breast cancer patients (9 %; 13/144). Although the prevalences are similar among the studies on West African, African American breast cancers and our study, we identified 3 novel mutations in the South African black patients. Furthermore, historical evidence has shown that African Americans descend from West African ancestry and so it is not surprising that there are some differences between these two and the South African black population, who have some distinct genetic differences at the population level [
12,
41].
Large genomic rearrangements in
BRCA, detected with MLPA, were only observed in 0.9 % (1/108) of our cohort. No large rearrangements were identified in the black South African breast cancer patients. Generally, low frequencies for large rearrangements have been reported in black patients, e.g. Pal et al., [
22], detected 2 rearrangements in 144 young African-American women with breast cancer (1.4 %), both of which were in
BRCA1. Zhang et al., [
42] reported one
BRCA1 exon deletion (0.3 %) in a cohort of 352 Nigerian breast cancer patients. In another South African study on 52 unrelated families of European ancestry, only 1 large deletion was detected in
BRCA1 [
9]. The lack of detection in
BRCA2 led the authors to suggest that large rearrangements in
BRCA2 might not play a role in inherited breast cancer in South African patients [
9]. However, to draw final conclusions on the presence of large rearrangements in both white and black South African breast cancer patients, a larger patient population should be extensively studied.
Gene sequencing techniques also resulted in the identification of several VUS. Based on
in silico predictions, we assigned a class (class 1– 3) to each VUS for clinical interpretation [
43]. VUS with a probability of increased pathogenicity are assigned a higher class. A number of studies have presented models and performed functional assays for the classification of VUS in
BRCA1/
2 [
43‐
46]. We detected six VUS in the 85 black patients of our cohort and none in the 16 white patients. Also other studies suggested that the frequency of VUS is higher in patients of African descent, for instance Nanda et al. [
47].
A previous study conducted in a South African cohort revealed a pathogenic
PALB2 mutation in 2 % of early onset white breast cancer patients [
8]. Our cohort consisted of a small number of white patients and no unequivocal deleterious mutations in
PALB2 were identified. However two missense variants with suggestive
in silico predictions were identified (Table
5) that warrant further functional analyses. Until recently, the pathogenic effect of
PALB2 missense variants has not been firmly proven. For some missense variants in the WD40 domain (from amino acids 853–1186) [
48] altered patterns of direct binding to the RAD51C, RAD51 and BRCA2 h proteins in biochemical assays have been shown [
49]. We identified a missense variant in the WD40 domain (c.2845 T > C; p.Cys949Arg). In order to elucidate the pathogenicity of missense variants in
PALB2, additional (functional, segregation) analyses are required.
We focused on identifying mutations in
BRCA1,
BRCA2 and
PALB2 and the
CHEK2 c.1100delC mutation, as the risks for the development of breast and associated cancers with these genes have been determined by analysing large study populations. The search for the remaining genetic contribution towards breast and ovarian cancer has been carried out extensively, with numerous other genes being identified. However, at this time, the contribution and associated risks of mutations in most of these genes is not yet well established. As the prevalence of mutations in each of these genes is much lower than germline
BRCA1/2 mutations in the large cohorts (white American) of patients investigated up until now [
50], international collaborations in populations of different ethnicities will be required to gain insight into the exact risks associated with mutations in these genes.
Competing interests
The authors report no conflicts of interest. The authors alone are responsible for the content and writing of the paper.
Authors’ contributions
FZF, TW carried out the molecular work, analysed data and helped draft the manuscript. KDL, BC, IC carried out the molecular work and analysis of data. AC, MM, SN, HC, BP, TVM provided samples for this study. RK, JPS, AV, AK revising the manuscript. AB, KBMC design of the study and drafting the manuscript. All authors have read and approved the manuscript.