Literature DB >> 19656415

Molecular genetics analysis of hereditary breast and ovarian cancer patients in India.

Nagasamy Soumittra1,2, Balaiah Meenakumari1, Tithi Parija1, Veluswami Sridevi3, Karunakaran N Nancy1, Rajaraman Swaminathan4, Kamalalayam R Rajalekshmy5, Urmila Majhi6, Thangarajan Rajkumar1.   

Abstract

BACKGROUND: Hereditary cancers account for 5-10% of cancers. In this study BRCA1, BRCA2 and CHEK2*(1100delC) were analyzed for mutations in 91 HBOC/HBC/HOC families and early onset breast and early onset ovarian cancer cases.
METHODS: PCR-DHPLC was used for mutation screening followed by DNA sequencing for identification and confirmation of mutations. Kaplan-Meier survival probabilities were computed for five-year survival data on Breast and Ovarian cancer cases separately, and differences were tested using the Log-rank test.
RESULTS: Fifteen (16%) pathogenic mutations (12 in BRCA1 and 3 in BRCA2), of which six were novel BRCA1 mutations were identified. None of the cases showed CHEK2*1100delC mutation. Many reported polymorphisms in the exonic and intronic regions of BRCA1 and BRCA2 were also seen. The mutation status and the polymorphisms were analyzed for association with the clinico-pathological features like age, stage, grade, histology, disease status, survival (overall and disease free) and with prognostic molecular markers (ER, PR, c-erbB2 and p53).
CONCLUSION: The stage of the disease at diagnosis was the only statistically significant (p < 0.0035) prognostic parameter. The mutation frequency and the polymorphisms were similar to reports on other ethnic populations. The lack of association between the clinico-pathological variables, mutation status and the disease status is likely to be due to the small numbers.

Entities:  

Year:  2009        PMID: 19656415      PMCID: PMC2731042          DOI: 10.1186/1897-4287-7-13

Source DB:  PubMed          Journal:  Hered Cancer Clin Pract        ISSN: 1731-2302            Impact factor:   2.857


Introduction

Breast cancer is the most common cancer among women in Chennai with the crude incidence rate (CIR) being 30.1/100,000 in the Madras Metropolitan Tumor Registry (MMTR). A significant increasing trend in the incidence of breast cancer was seen during 1982–2005 with an average annual increase of 0.72 per 100,000 [1]. The trend of rising incidence rate is likely to continue due to further changes in life style factors such as age of first child birth and dietary habits [2]. BRCA1 and BRCA2 genes had been identified by linkage analysis and positional cloning on large breast cancer families in the early 1990's [3,4]. This has improved the understanding of the molecular genetics of the hereditary breast and ovarian cancer thus providing scope for better management in these patients and in offering predictive testing, aggressive screening and preventive strategies to the unaffected carriers in the same family. The CHEK2*1100delC mutation confers a low risk of breast cancer in non-BRCA1/BRCA2 mutation carriers [5]. The average cumulative risk of breast cancer in a BRCA1 and BRCA2 mutation carrier is 65% and 45% by the age of 70 years, respectively. For ovarian cancer the risk is 39% and 11%, in BRCA1 and BRCA2 mutation carriers by 70 years, respectively [6]. Slightly elevated risk of colon and prostate cancer in BRCA1 mutation carriers and increased risk of other malignancies including pancreatic, stomach and head and neck cancers and a large increase in the relative risk for male breast cancer is seen in BRCA2 mutation carriers [7,8]. Other genes like TP53, ATM, SKT11, PTEN, PTCH MLH1, MSH2, PMS1, PMS2, MSH6 have been associated with increased risk of breast and ovarian cancer as part of other cancer syndromes [9]. Recently genome wide association study identified four plausible causative genes namely FGFR2, TNRC9, MAP3K1 and LSP1 that confer moderate susceptibility to breast cancer [10]. Generally, hereditary breast cancers are earlier in onset and have a higher prevalence of bilateral breast cancers. Breast tumors from BRCA1- carriers are more likely to be highly proliferative; poorly differentiated (grade III); more likely to have a medullary or atypical medullary-like appearance with high degree of lymphocyte infiltration; and show excess of continuous pushing margins [11]. Moreover these tumors are more often ER, PR and c-erbB2 negative and frequently show p53 alterations [12]. Lakhani and Bell et al report BRCA2 tumors to be of higher grade than the sporadic group, but this was not confirmed by Eelora et al, 2005 [13-15]. The BRCA2 tumors are likely to be ER positive [16]. BRCA1 mutation carriers have an earlier onset of ovarian cancer that is histologically high-grade serous adenocarcinoma [17]. We had earlier published the data of BRCA1, BRCA2 and CHEK2*1100delC mutation status in 22 cases [18]. Here, we report the clinico-pathological features, BRCA1, BRCA2 and CHEK2*1100delC mutation status and their correlation with prognostic markers in 91 cases.

Materials and methods

Materials

Ninety-one eligible cases including the 22 published that fulfilled the criteria for gene testing were screened for BRCA1, BRCA2 and CHEK2*1100delC mutations [18]. The criteria were as follows: Early onset of breast cancer (≤35 years of age) or ovarian cancer (≤40 years of age); Two cases of breast cancer diagnosed under the age of 50 years in a family (first and second degree relatives); Three or more cases of breast cancer diagnosed at any age; Presence of breast and ovarian cancer in the family or in the same individual; Male breast cancer with a relative (of either sex) with breast cancer; Family history of Prostate or pancreatic or colorectal cancer or sarcomas, with breast cancer in the family. The study includes 65 unilateral, 6 bilateral breast cancer cases, 14 ovarian cancer cases, 3 cases with both breast and ovarian cancer in the same individual without any family history of cancer, 2 cases each with family history of breast cancer and soft tissue sarcoma and 1 case of prostate cancer with family history of prostate and breast cancer. Of the 91 cases, 54 were with Family history (including 35 Hereditary Breast Cancer families, 15 Hereditary Breast & Ovarian Cancer families, 3 Hereditary Ovarian Cancer families and 1 with family history of Prostate and breast cancer). There were 31 early onset breast cancer (≤ 35 yrs) and 3 early onset ovarian cancer (≤ 40 yrs) cases without family history of cancer. Three patients had breast and ovarian cancers, without a family history. All the patients provided their informed consent for the study, which was cleared by the Institutional Ethical committee.

Methods

Mutation screening of BRCA1, BRCA2 and CHEK2*1100delC

The sample collection, DNA isolation, PCR-DHPLC and sequencing were carried out as previously described [18].

Bioinformatics Analysis

The secondary structure and the tertiary structure of the normal CHEK2 gene sequence and the two missense variants were predicted by submitting the sequences to Chou Fasman secondary structure prediction site and at ExPaSy server for tertiary structure prediction using Swiss model [19-22].

Immunohistochemistry

IHC was done for ER, PR, p53 and c-erbB2 expression studies on available breast cancer cases. IHC was performed as per the standard methodology using primary antibodies; clone ID5 (ER), clone PgR636 (PR), clone HER2/neu (c-erbB2), and clone DO7 (p53) and secondary antibodies; rabbit anti mouse for ER, PR and p53 and swine anti rabbit for c-erbB2 from Dako [23-26]. The antibodies were used at a dilution of 1:35 for ER and PR (Dako pharma), 1:350 for HER2/neu (Dako pharma) and 1:200 (Biogenex) or 1:50 (Dako pharma) for p53. Positive (known positives for each of the markers) and negative controls (omission of primary antibody) were included in each run. The scoring was done as described previously [23-26].

Statistical Analysis

Chi-square test of independence was used for testing the statistical significance of association between the variables like age, stage, grade and histological type with disease status (i.e. disease free or disease present) and between clinico-pathological features and with each of the prognostic markers like ER, PR, c-erbB2 and p53 status for the breast cancer cases. The BRCA1 and BRCA2 mutation status i.e. mutation positivity or negativity were tested for statistical association with disease status and prognostic molecular markers. Yates correction was made wherever indicated. Fisher's exact probability test was employed to deal with small frequencies. Kaplan-Meier survival probabilities were computed for five-year survival data on Breast and Ovarian cancer cases separately, and differences were tested using the Log-rank test. All the statistical analyses were performed using Stata version 10.0 software.

Results

BRCA1 and BRCA2 analysis

Fifteen out of the 91 (16%) samples analyzed had a deleterious mutation. Twelve mutations were in BRCA1 and three in BRCA2 gene. The mutations and genetic variants were designated according to HUGO recommendations. The gene, mutation, exon, and the details of age of onset and family history are given in Table 1. Six of the 15 pathogenic mutations were novel and have been submitted to the GenBank .
Table 1

Gene, exon, mutation description, site of cancer in proband with age of onset and family history

S. NoGeneExonMutationSite of CancerAge of onsetFamily History
1BRCA112c.4158_4162delCTCTC; p.Ser1369SerfsX2[Acc No. AY144588]*Breast28Mother – B (44 y)MA – B (50 y)MGM – B (50 y)

2BRCA113c.4327C>T; p.R1443X *Breast403 Sisters – B (35 y, 38 y, 48 y)PA – B (64 y)

3BRCA111Cc.1148_1149delAT;p.Asn383Arg fsX6[Acc No. AY458144]Breast382 Sisters (50 and 49 y)

4BRCA114c.4399C>T; p.Gln1467X[Acc No. AY06912]Breast (Metachronous Bil.) and uterine38 (L)40 (R)43 (En)2 sisters – B (39 y)Mother – O (74 y)

5BRCA116c.4705_4706insTGGAATC; p.Ile1567fsx5[Acc No. DQ075361]Breast45Mother – O (58 y)

6BRCA117c.5024_5025insT;p. Thr1675Thr fsX4[Acc No. AY706913]Ovarian61Daughter – O (39 y)

7BRCA12c.68_69delAG; p.Glu23Val fsX16Breast33No family history

8BRCA12c.68_69delAG; p.Glu23Val fsX16Breast33No family history

9BRCA12c.68_69delAG; p.Glu23Val fsX16Breast39Mother – O (60 y)

10BRCA12c.68_69delAG; p.Glu23Val fsX16Ovarian59Sister – O (44 y)Daughter – B (39 y)

11BRCA211Oc.6214_6218delCTTAA; p.Ser2072Ser fsX4 *Breast38Mother – B (40 y)

12BRCA21Dc.5130_5133delTGTA; p.Tyr1693XBreast27No family history

13BRCA12c.66_67delAG; p. Leu22Leu fsX18Breast55Mother – B (41 y)O (55 y)MA – B (47 y)

14BRCA118c.5118_5120delAAT; p.del1707Ile[Acc No. FJ940752]Breast45Mother – B (39 y)MA – B (64 y)Sister – B (33 y)

15BRCA211Gc.2621_2627delAACTGTC;p. Ile873Ile fsX19Breast35Mother – Cervix (40 y)MGM – B (60 y)PA – U (52 y)

B-Breast cancer, O-ovarian cancer, MA-Maternal aunt, PA-Paternal aunt, MGM-Maternal grandmother, Acc No-GenBank accession number, * – Mutations already reported in our previous publication [18]

Gene, exon, mutation description, site of cancer in proband with age of onset and family history B-Breast cancer, O-ovarian cancer, MA-Maternal aunt, PA-Paternal aunt, MGM-Maternal grandmother, Acc No-GenBank accession number, * – Mutations already reported in our previous publication [18] Apart from the pathogenic mutations, many known missense variations both in the exonic and the intronic regions of BRCA1 and BRCA2 genes were seen in our study. The common missense variations in the exons and introns of BRCA1 and BRCA2 gene are given in Table 2. 85/91 (93%) cases showed at least one variation either in the exon or intron of BRCA1 or BRCA2 gene. Six cases did not show any variations either in exon or intron of both BRCA1 and BRCA2 gene. 28/91 (31%) did not show any variations in BRCA1 and 20/91 (22%) cases did not show any variations in BRCA2 gene.
Table 2

The missense variations in the exons and the introns (defined polymorphisms in BIC database) of BRCA1 and BRCA2 gene and their percentage

BRCA1BRCA2

PolymorphismsCases (n = 91)(%)PolymorphismsCases (n = 91)(%)
Exons3 – c.294A>G; p. L98L *1 (1%)
11K – c.2311T>C; p. L771L42 (45.4%)10B – c.1114C>A; p. H372N36 (40%)
11N – c.2612C>T; p. P871L38(41.2%)10C – c.1365A>G; p. S455S1 (1%)
11S – c.3113A>G; p. E1038G20 (22%)11B – c.4258G>T; p. D1420Y2 (2%)
11TU – c.3548A>G; p.K1183R12 (13%)11C – c.4779A>C; p. E1593D3 (3.1%)
16 – c.4956G>A; p. M1652I4 (4.1%)11F – c.2538A>C; p. S846S *2 (2%)
16 – c.4838A>G; p. S1613G4 (4.1%)11H – c.2892A>T; p. K964N *1 (1%)
11P – c.2597G>T; p. R866L *1 (1%)11I – c.2971A>G; p. N991D5 (5.3%)
11K – c.3807T>C; p. V1269V4 (4.2%)

Intronsc.301-41T>C5 (5.3%)
c.441-34T>C1 (1%0c.1-26G>A
c.548-58del T22 (24%)c.6841+79delTTAA4 (4.2%)
c.4184-10G>A1 (1%)c.7807-14T>C33 (36%)
c.4987-68A>G22 (24%)c.8755-66T>C39 (43.2%)
c.4987-92A>G22 (24%)c.68-21T>G38 (42%)
c.5075+66G>A5 (5.3%)c.7804-12T>C1 (1%)
c.5152+66A>G2 (2%)1 (1%)
c.547-64 del T1 (1%)
The missense variations in the exons and the introns (defined polymorphisms in BIC database) of BRCA1 and BRCA2 gene and their percentage

CHEK2*1100delC mutation analysis

In our study none of the 91 samples analyzed showed the CHEK2*1100delC mutation. However, two missense mutations were seen in three cases. c.1217G>A; p.R406H which is a known missense mutation was seen in two patients, both with breast cancer and a family history of breast cancer. The second missense variation was c.1175C>T;p.A392V seen in an early onset breast cancer case without any family history of cancer. The Chou Fasman secondary structure prediction showed extension of β sheet and loss of a turn in the A392V and R406H missense mutation, respectively when compared with the normal sequence (Figure 1). The Swiss model for tertiary structure prediction show marked variation in the structure of A392V missense change. The R406H missense mutation, however did not show any change in its tertiary structure in the Swiss model (Figure 2).
Figure 1

Secondary structure as predicted by Chou – Fasman algorithm. a) Normal sequence. b) CHEK2 A392V. c) CHEK2 R406H. The missense variations valine and histidine are typed in bold and underlined.

Figure 2

Swiss model predicted protein structures of normal, A392V and R406H CHEK2 sequences.

Secondary structure as predicted by Chou – Fasman algorithm. a) Normal sequence. b) CHEK2 A392V. c) CHEK2 R406H. The missense variations valine and histidine are typed in bold and underlined. Swiss model predicted protein structures of normal, A392V and R406H CHEK2 sequences.

IHC analysis, Clinico-Pathological Features and Statistical Analysis

In our study 10/15 BRCA1 mutation positive cases were breast cancer and 2/16 were ovarian cancer cases. 8/10 BRCA1 mutation positive breast cancer cases were ER and PR negative and 5/8 were p53 positive. c-erbB2 data was available for 6 cases, of which 5 were negative and 1 was positive. Of the three BRCA2 mutation positive cases data was available for only one case, which was negative for ER, PR and p53. Clinico-pathological variables like age, stage, grade, histology, ER, PR, c-erbB2 and p53 status for 65 unilateral, 6 bilateral breast cancers and 14 ovarian cancers are given in Table 3. Of the 91 cases, ER, PR, c-erbB2 and p53 data was available only for 59, 57, 50 and 48 cases respectively. Data was not available for 32 cases; 10/32 patients were being managed outside the Institute and either declined or were unable to provide paraffin blocks. In the remaining cases only FNAC was done for the diagnosis of the disease, and not enough slides were available for all the marker study.
Table 3

Clinico-pathological characteristics of breast and Ovarian cancer cases

Clinico-pathological features65 Unilateral breast cases in number (%)6 Bilateral breast cases in number (%)14 Ovarian cases in number (%)
Age (years)
3537 (56.8%)5 (83.3%)6 (42.8%)
36–4517 (26.1%)1 (16.6%)3 (21.4%)
46–559 (13.8%)-3 (21.4%)
56–651 (1.5%)--
>651 (1.5%)-2 (14.2%)

Stage
I8 (12.5%)Lt: 2(33.2%) Rt:1(16.6%)2 (14.2%)
II15 (23.0%)Lt: 2(33.2%) Rt: --
III37 (56.8%)Lt: – Rt:4(66.6%)7 (50%)
IV2 (3.1%)Lt: 2(33.2%) Rt:1(16.6%)3 (21.4%)
NK3 (4.6%)-2 (14.4%)

Grade
I30 (46.2%)Lt:4(66.6%) Rt:1(16.6%)3 (21.4%)
II18 (27.3%)Lt:1(16.6%) Rt:3(50%)2 (14.2%)
III10 (15.4%)Lt: – Rt: -3 (21.4%)
NK7 (10.1%)Lt:1 (16.6%)Rt:2(33.2%)6 (42.8%)

Disease Status
Disease free43 (66.3%)3 (50%)5 (35.7%)
Recurrence & disease present9 (14.0%)1 (16.6%)6 (42.8%)
Recurrence & disease free1 (1.5%)--
Default6 (9.1%)1 (16.6%)1 (7.1%)
Not treated at CI6 (9.1%)1 (16.6%)2 (14.2%)

Type
IDC53 (82.1%)Lt:5(83.3%)Rt:5(83.3%)-
Medullary4 (6.2%)-
Mucinous1 (1.6%)-
Others3 (4.6%)Lt:1(16.6%)Rt:1(16.6%)
NK4 (5.5%)-

ER
Positive15/55 (27.3%)0-
Negative40/55 (72.7%)4/4 (100%)

PR
Positive17/53 (32.0%)0-
Negative36/53 (68.0%)4/4 (100%)

c-erbB2
Positive15/46 (32.6%)1/4(25%)-
Negative31/46 (67.4%)3/4 (75%)

P53
Positive21/44 (47.7%)1/4(25%)-
Negative23/44 (52.3%)3/4 (75%)
Clinico-pathological characteristics of breast and Ovarian cancer cases Statistical analysis between clinico-pathological variables, disease status and prognostic markers revealed association between the stage of the disease at diagnosis and the disease status, which was statistically significant (p < 0.0035). There is a positive association between earlier stage at diagnosis and disease free status. No other variables like grade, age and histological types had significant association with the disease status and the prognostic molecular markers. In addition, no significant association between the mutation status and the clinico-pathological variables were seen. The 5 year overall survival (OS) and disease-free survival (DFS) in breast cancer cases was 75% and 65% and for ovarian cancer cases was 30% and 22% respectively. The Plogrank = 0.30 for overall survival and Plogrank = 0.72 for disease-free survival in breast cancer cases and for ovarian cancer cases it is Plogrank = 0.42 and Plogrank = 0.89 respectively. The Kaplan-Meier curve for the breast and ovarian cancer cases are given in Figure 3 and Figure 4.
Figure 3

Kaplan-Meier plot showing Overall survival and Disease free status for Breast cancer cases.

Figure 4

Kaplan-Meier plot showing Overall survival and Disease free status for Ovarian cancer cases.

Kaplan-Meier plot showing Overall survival and Disease free status for Breast cancer cases. Kaplan-Meier plot showing Overall survival and Disease free status for Ovarian cancer cases.

Discussion

In our study on 91 patients, 15 pathogenic mutations (16%) in BRCA1 and BRCA2 genes were detected. This is similar to the data from several studies including the study by Wagner et al who had reported 17% mutation in either of the BRCA genes [27-31]. There is a four fold greater incidence of BRCA1 mutation (12) compared to BRCA2 (3) mutations in our series of South Indian patients. This is different from the North Indian data wherein almost equal distribution of BRCA1 and BRCA2 mutations was seen in two studies and in the study by Hedau et al [32,33], 4/24 mutations reported, were all in BRCA1 gene [34]. The two South Indian studies have looked at BRCA1 mutations only [35,36]. 7/35 HBC families (20%) had mutations in either BRCA1 (5 mutations) or BRCA2 gene (2 mutations). Four of 15, HBOC cases were found to harbor mutations in BRCA1 gene (30%). Zelada-Hedman et al showed that 35% of the HBOC families have mutation in BRCA1 gene, but others report a higher percentage (58% and 43% respectively) of mutation in BRCA1 gene in HBOC families [28,37,38]. The German consortium (2002) study showed 10% mutation in BRCA2 gene in HBOC families [38]. In our series we did not find mutation in BRCA2 gene in HBOC families, which is similar to the results from a study in the Japanese population [39]. Three of 31 early onset (≤ 35 years) breast cancer cases had deleterious mutation, 2 in BRCA1 (7%) and 1 in BRCA2 (3%) gene. Peto et al also report 3.5% and 2.4% mutation in BRCA1 and BRCA2 gene, respectively in early onset (≤ 35 years) breast cancer cases [40]. Of the three hereditary ovarian cancer families studied, one had a deleterious mutation in the BRCA1 gene. Results published from other Indian groups on BRCA1 &BRCA2 give varying results. Initial studies on smaller sample size gave higher percentage of mutation detected. Saxsena et al reported 2.9% (6/204) mutation with largest sample size so far analyzed [32]. However, this study includes 34 cases with family history and the rest being sporadic cases. The table 4 details the published results from the different groups from India [33-36,41]. The mutation c.68_69delAG; p.Glu23Val fsX16 was seen in four cases (two in HBOC families and two in early onset breast cancer case is the only recurrent mutation seen in this study. The above mentioned mutation has been identified as founder mutation in various populations like the Ashkenazi Jews; however haplotype analysis was not performed in these four families to check for common ancestor [28]. These four families are unrelated and are from different parts of South India, and ethnically different.
Table 4

Published results from various Indian groups on BRCA1 and BRCA2 mutation status on hereditary breast and ovarian cancer families or early onset breast cancer cases

Total No. casesGene(s)Mutation detectedAuthors and Year
14 cases with F/H of BC & OCBRCA13/14 (21%)Kumar et al (2002)

20 cases with F/H of B & OC or early onset(< 35 y)BRCA1 &BRCA22/20 (10%) (BRCA1)Saxsena et al 2002

24 cases with F/H of breast cancer and 100 sporadic casesBRCA1 &BRCA26/24 (25%) (BRCA1)Hedau el at 2004

16 cases F/H of BC & OC and 20 sporadic casesBRCA1 &BRCA25/16 (31%) (BRCA1 &BRCA2)Valarmathi et al 2004

23 cases with F/H of BC & OCBRCA11/23Gajalakshmi et al 2006

204 cases, 34 with F/H, 105 early onset (<40 y) and 65 late onsetBRCA1 &BRCA26/204 (2.9) (BRCA1 &BRCA2)except for one mutation were seen either in early onset cases or with F/HSaxena et al 2006

91 cases, 54 with F/H of BC & OC, 34 early onset (≤ 35 y for BC and ≤ 40 y for OC); 3 HBOC in same individualBRCA1 &BRCA215/91 (16%) (BRCA1 &BRCA2)Current study
Published results from various Indian groups on BRCA1 and BRCA2 mutation status on hereditary breast and ovarian cancer families or early onset breast cancer cases Many common missense variants were seen in our series both in the exon and intron of BRCA1 and BRCA2. Most have them been previously reported in other populations. The exonic variants seen in BRCA1 have been reported as unclassified variants in many studies [39,42,43]. In the BIC data base, most of the variants have been classified as having no clinical significance or of unknown clinical significance. Case control studies have shown no difference in the frequencies of these alleles in cases and controls [44]. However, we have not analyzed the frequency of the missense heterozygotes in our control population i.e. unaffected controls with out any family history of breast and/or ovarian cancer. The most common exonic missense variant of BRCA2 gene seen in our cases was N372H. Studies have shown that N372H appears to confer a small increased risk for breast cancer [44]. The missense variants seen in the intronic region of the BRCA1 gene and other less common exonic and intronic variants in BRCA2 have also been previously reported in other populations [28,37,38,40]. The CHEK2*1100delC mutation reported in the western populations were also screened for in our cases. Though no CHEK2*1100delC mutation was detected, two missense mutations in the CHEK2 gene (p.R406H and p.A392V) were seen in three cases. The residues, arginine and alanine at positions 406 and 392 are conserved across species. Additionally, the secondary structure prediction using the Chou-Fasman algorithm predicts changes in the secondary structure for both the missense variations [19]. The Swiss Model software too shows a marked change in the structure for the A392V missense variation, though the R406H did not show a visible change. The variation (R406H) was not seen to be associated with breast cancer cases in French Canadian women [45]. The pathogenicity of the variations can however be confirmed by segregation analysis in other affected family members or other functional studies or screening the normal controls. Two out of the three cases had a family history of breast cancer but we could not get the sample from the other affected family member for testing. The patient with the A392V mutation was an early onset breast cancer patient without any family history. Rest of the coding region of the CHEK2 gene was not screened for mutations. In our series, nearly 80% of the breast cancer patients were ≤ 45 years of age at diagnosis, with 52.7% being ≤ 35 years at diagnosis, as in other studies [46]. Majority of the breast cancer cases were high-grade tumors (56%). Ho et al reported that 25%–37% of hereditary breast cancers not associated with BRCA1 mutations were ER negative but we found 68% to be negative for ER expression in our study [42]. This correlates well with our hospital statistics in sporadic cancers, wherein 62% of the pre-menopausal patients harbor tumours, which are ER negative. Our study looked at the association between clinico-pathological features, disease status, and prognostic markers. We also looked at the association between the mutation status with disease status and prognostic markers. The stage of the disease at diagnosis and the disease status alone emerged to be statistically significant, wherein a positive association between earlier stage at diagnosis and disease free status was observed. None of the other parameters showed any association. Disease free and overall survival of BRCA mutation positive breast or ovarian cancers did not significantly differ from the BRCA mutation negative cases. Other groups have also not found any survival difference between BRCA mutation positive versus negative cases [46-49]. Of the 91 cases analyzed, 13 (14%) of the affected probands were issues of consanguineous marriage and had either ovarian cancers (3) or breast cancers (10). Though susceptibility to breast cancer is inhereited as an autosomal dominant trait, modifier genes when present in homozygous state might further increase the risk of cancer.

Conclusion

We have looked at the prevalence of BRCA1, BRCA2 and CHEK1100delC mutation in breast and ovarain caner patients in India. The prevalence of BRCA1 and BRCA2 gene mutaion is similar to other population. CHEK1100delC mutation was not seen our study series. Asoociation between the clinico-pathological variables and mutation status with disease status and prognostic markers revealed significant assocaition between the stage at diagnosis and disease free status alone.

Competing interests

The authors declare that they have no competing interests.

Authors' contributions

SN, BM and TP carried out the sample collection, PCR-DHPLC, Sequencing, analysis of the data and drafting the article; VS was involved in sample collection, collection and analysis of all the clinical details and drafting of the manuscript; KNN was involved in data analysis and drafting of the article; RS was involved with all the statistical analysis of the data; KRR carried out the immunohistochemistry (IHC) and analysis of the IHC results; UM was involved in the pathological assessment of all the tumour samples; TR designed the study, was involved in the data analysis (clinical and lab), interpretation of the data, drafting the article. All the authors have read and approved the final version of the article.
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Journal:  Nature       Date:  1995 Dec 21-28       Impact factor: 49.962

6.  Novel germline mutations in breast cancer susceptibility genes BRCA1, BRCA2 and p53 gene in breast cancer patients from India.

Authors:  Suresh Hedau; Neeraj Jain; Syed A Husain; Ashish K Mandal; Gibanananda Ray; M Shahid; Ravi Kant; Vishal Gupta; Nootan K Shukla; Suryanarayan S V Deo; Bhudev C Das
Journal:  Breast Cancer Res Treat       Date:  2004-11       Impact factor: 4.872

7.  Expression of the c-erbB-2 proto-oncogene protein in human breast cancer.

Authors:  W J Gullick
Journal:  Recent Results Cancer Res       Date:  1989

8.  Germline BRCA1 mutation analysis in Indian breast/ovarian cancer families.

Authors:  B Vinod Kumar; Smita Lakhotia; Ravindran Ankathil; Jayaprakash Madhavan; P G Jayaprakash; M Krishnan Nair; Kumaravel Somasundaram
Journal:  Cancer Biol Ther       Date:  2002 Jan-Feb       Impact factor: 4.742

9.  BRCA1, BRCA2 and CHEK2 (1100 del C) germline mutations in hereditary breast and ovarian cancer families in South India.

Authors:  Thangarajan Rajkumar; Nagasamy Soumittra; Nirmala Karunakaran Nancy; Rajaraman Swaminathan; Veluswami Sridevi; Vishwanathan Shanta
Journal:  Asian Pac J Cancer Prev       Date:  2003 Jul-Sep

Review 10.  The role of estrogens in BRCA1/2 mutation carriers: reflections on the past, issues for the future.

Authors:  Maria de Carvalho; Jean Jenkins; Michele Nehrebecky; Lynda Lahl
Journal:  Cancer Nurs       Date:  2003-12       Impact factor: 2.592

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  8 in total

1.  Next-Generation Sequencing Reveals a Nonsense Mutation (p.Arg364Ter) in MRE11A Gene in an Indian Patient with Familial Breast Cancer.

Authors:  Pratibha Sharma Bhai; Deepak Sharma; Renu Saxena; Ishwar C Verma
Journal:  Breast Care (Basel)       Date:  2017-03-21       Impact factor: 2.860

2.  Constitutional CHEK2 mutations are infrequent in early-onset and familial breast/ovarian cancer patients from Pakistan.

Authors:  Muhammad U Rashid; Noor Muhammad; Saima Faisal; Asim Amin; Ute Hamann
Journal:  BMC Cancer       Date:  2013-06-27       Impact factor: 4.430

3.  Multiple pathway-based genetic variations associated with tobacco related multiple primary neoplasms.

Authors:  Ashwin Kotnis; Junghyun Namkung; Sadhana Kannan; Nallala Jayakrupakar; Taesung Park; Rajiv Sarin; Rita Mulherkar
Journal:  PLoS One       Date:  2012-01-11       Impact factor: 3.240

Review 4.  Worse breast cancer prognosis of BRCA1/BRCA2 mutation carriers: what's the evidence? A systematic review with meta-analysis.

Authors:  Alexandra J van den Broek; Marjanka K Schmidt; Laura J van 't Veer; Rob A E M Tollenaar; Flora E van Leeuwen
Journal:  PLoS One       Date:  2015-03-27       Impact factor: 3.240

5.  Mutation analysis of BRCA1/2 mutations with special reference to polymorphic SNPs in Indian breast cancer patients.

Authors:  Nidhi D Shah; Parth S Shah; Yash Y Panchal; Kalpesh H Katudia; Nikunj B Khatri; Hari Shankar P Ray; Upti R Bhatiya; Sandip C Shah; Bhavini S Shah; Mandava V Rao
Journal:  Appl Clin Genet       Date:  2018-05-09

6.  Genetic Counseling, Testing, and Management of HBOC in India: An Expert Consensus Document from Indian Society of Medical and Pediatric Oncology.

Authors:  Hemant Malhotra; Pradnya Kowtal; Nikita Mehra; Raja Pramank; Rajiv Sarin; Thangarajan Rajkumar; Sudeep Gupta; Ajay Bapna; Gouri Shankar Bhattacharyya; Sabhyata Gupta; Amita Maheshwari; Ashraf U Mannan; Ravindra Reddy Kundur; Rupinder Sekhon; Manish Singhal; B K Smruti; Somashekhar Sp; Moushumi Suryavanshi; Amit Verma
Journal:  JCO Glob Oncol       Date:  2020-07

7.  BRCA1/BRCA2 mutation spectrum analysis in South Asia: a systematic review.

Authors:  Sanjeev Kharel; Suraj Shrestha; Siddhartha Yadav; Prafulla Shakya; Sujita Baidya; Suzita Hirachan
Journal:  J Int Med Res       Date:  2022-01       Impact factor: 1.671

8.  Profile of Pathogenic Mutations and Evaluation of Germline Genetic Testing Criteria in Consecutive Breast Cancer Patients Treated at a North Indian Tertiary Care Center.

Authors:  Abhenil Mittal; S V S Deo; Ajay Gogia; Atul Batra; Akash Kumar; Sandeep Bhoriwal; Koushik Sinha Deb; Ekta Dhamija; Sanjay Thulkar; V L Ramprasad; Olufunmilayo Olopade; Raja Pramanik
Journal:  Ann Surg Oncol       Date:  2021-10-02       Impact factor: 5.344

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