| Literature DB >> 25629968 |
Suriati Mohamad1, Nurismah Md Isa1, Rohaizak Muhammad2, Nor Aina Emran3, Nor Mayah Kitan4, Peter Kang5, In Nee Kang5, Nur Aishah Mohd Taib6, Soo Hwang Teo7, Sharifah Noor Akmal1.
Abstract
CHEK2 is a protein kinase that is involved in cell-cycle checkpoint control after DNA damage. Germline mutations in CHEK2 gene have been associated with increase in breast cancer risk. The aim of this study is to identify the CHEK2 gene germline mutations among high-risk breast cancer patients and its contribution to the multiethnic population in Malaysia. We screened the entire coding region of CHEK2 gene on 59 high-risk breast cancer patients who tested negative for BRCA1/2 germline mutations from UKM Medical Centre (UKMMC), Hospital Kuala Lumpur (HKL) and Hospital Putrajaya (HPJ). Sequence variants identified were screened further in case-control cohorts consisting of 878 unselected invasive breast cancer patients (180 Malays, 526 Chinese and 172 Indian) and 270 healthy individuals (90 Malays, 90 Chinese and 90 Indian). By screening the entire coding region of the CHEK2 gene, two missense mutations, c.480A>G (p.I160M) and c.538C>T (p.R180C) were identified in two unrelated patients (3.4%). Further screening of these missense mutations on the case-control cohorts unveiled the variant p.I160M in 2/172 (1.1%) Indian cases and 1/90 (1.1%) Indian control, variant p.R180C in 2/526 (0.38%) Chinese cases and 0/90 Chinese control, and in 2/180 (1.1%) of Malay cases and 1/90 (1.1%) of Malay control. The results of this study suggest that CHEK2 mutations are rare among high-risk breast cancer patients and may play a minor contributing role in breast carcinogenesis among Malaysian population.Entities:
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Year: 2015 PMID: 25629968 PMCID: PMC4309602 DOI: 10.1371/journal.pone.0117104
Source DB: PubMed Journal: PLoS One ISSN: 1932-6203 Impact factor: 3.240
Characteristics of high risk breast cancer patients selected for CHEK2 mutation screening according to ethnicity, n = 59.
| Ethnicity | Malay | Chinese | Indian | Total |
|---|---|---|---|---|
| No (%) | No (%) | No (%) | No (%) | |
| Total | 37 (62.7) | 14 (23.7) | 8 (13.6) | 59 |
| Female breast cancer | 37 | 13 | 8 | 58 (98.3) |
| Male breast cancer | 0 | 1 | 0 | 1 (1.7) |
| Age at diagnosis | ||||
| <30 | 9 | 0 | 0 | 9 (15.3) |
| 31–40 | 19 | 7 | 5 | 31 (52.5) |
| 41–50 | 2 | 2 | 2 | 6 (10.2) |
| 51–60 | 6 | 2 | 1 | 9 (15.3) |
| >60 | 1 | 3 | 0 | 4 (6.8) |
| Personal cancer history | ||||
| Bilateral breast cancer | 3 | 2 | 1 | 6 (10.2) |
| Ovarian cancer | 1 | 0 | 0 | 1 (1.7) |
| Family history of breast and/or ovarian cancer (up to 3rd degree relatives) | ||||
| 0 case | 13 | 5 | 5 | 23 (39.0) |
| 1 case | 20 | 6 | 2 | 28 (47.5) |
| 2 cases | 2 | 1 | 3 | 6 (10.2) |
| 3 cases | 1 | 0 | 0 | 1 (1.7) |
| >3 cases | 1 | 0 | 0 | 1 (1.7) |
Characteristics of the CHEK2 gene mutation carriers identified from sequencing and genotyping cohorts.
| Exon | Nucleotide change (HGVS) | AA change | Cohort | Ethnicity | Diagnosis, Age | Histology | Grade | ER | PR | HER2 |
|---|---|---|---|---|---|---|---|---|---|---|
| 3 | c.480A>G | p.I160M | Sequencing | Malay | Breast cancer, 43 | IDC | 1 | + | + | - |
| Genotyping | Indian | Breast cancer, 52 | IDC | 1 | + | + | 1+ | |||
| Indian | Breast cancer, 46 | IDC | 2 | - | - | 3+ | ||||
| 3 | c.538C>T | p.R180C | Sequencing | Malay | Breast cancer, 15 | IDC | 3 | - | - | 1+ |
| Bilateral ovarian cancer, 14 | Granulosa Cell Tumour | NA | NA | NA | NA | |||||
| Genotyping | Malay | Breast cancer, 41 | IDC | 2 | - | NA | - | |||
| Malay | Breast cancer, 43 | IDC | 2 | - | - | + | ||||
| Chinese | Breast cancer, 45 | IDC | 1 | - | - | - | ||||
| Chinese | Breast cancer, 33 | NA | NA | NA | NA | NA |
AA: Amino acid, IDC: infiltrating ductal carcinoma, ER: estrogen receptor, PR: progesteron receptor, HER2: Human epidermal growth factor 2 receptor, −: negative, +: positive, NA: not available.
Fig 1Family pedigree of CHEK2 p.R180C missense mutation’s carrier (BC254) from sequencing analysis.
Index patients are indicated with an arrow while individuals affected with breast cancer are indicated with filled symbol. Date of birth and age of diagnosis (in bracket) for affected individual are indicated. Deceased individuals are indicated with a slash.
Fig 2Family pedigree of CHEK2 p.I160M missense mutation’s carriers in case-control analysis; (A) family pedigree of BRC1058 and (B) BRC1147.
Index patients are indicated with an arrow while individuals affected with breast cancer are indicated with filled symbol. Age of diagnosis (in bracket) for affected individuals is indicated. Deceased individuals are indicated with a slash.
Fig 3Family pedigree of CHEK2 p.R180C missense mutation’s carriers from case-control analysis; (A) BRC256, (B) BRC276, (C) BRC270 and (D) BRC354.
Index patients are indicated with an arrow while individuals affected with breast cancer are indicated with filled symbol. Date of birth and age of diagnosis (in bracket) for affected individual are indicated. Deceased individuals are indicated with a slash.