| Literature DB >> 27257965 |
Xiaorong Zhong1, Zhengwei Dong2, Hua Dong2, Jiayuan Li3, Zuxiang Peng1,4, Ling Deng1, Xuehua Zhu2, Yun Sun2, Xuesong Lu2, Fuxiao Shen2, Xinying Su2, Liying Zhang5, Yi Gu2, Hong Zheng1,6.
Abstract
BACKGROUND: The prevalence of BRCA1/2 variants in Chinese breast cancer patients varies among studies. Germline or somatic BRCA1/2 mutations are associated with sensitivity to poly(ADP-ribose) polymerase-1 inhibitors and DNA-damaging agents. We aimed to investigate the distribution of both somatic and germline BRCA1/2 variants in unselected Chinese breast cancer patients, and explore their roles in tumor phenotype and disease prognosis.Entities:
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Year: 2016 PMID: 27257965 PMCID: PMC4892623 DOI: 10.1371/journal.pone.0156789
Source DB: PubMed Journal: PLoS One ISSN: 1932-6203 Impact factor: 3.240
Distribution of germline or somatic BRCA1/2 variants in 507 breast cancer patients.
| Gene | Pathogenic/Likely pathogenic (P/LP) variant | Variant of uncertain significance (VUS) | ||
|---|---|---|---|---|
| Patient No. | Percentage | Patient No. | Percentage | |
| | 18 | 3.6% | 16 | 3.2% |
| | 22 | 4.3% | 43 | 8.5% |
| | 0 | 0.0% | 3 | 0.6% |
| | 40 | 7.9% | 62 | 12.2% |
| | 3 | 0.6% | 3 | 0.6% |
| | 6 | 1.2% | 5 | 1.0% |
| | 9 | 1.8% | 8 | 1.6% |
| | 0 | 0.0% | 0 | 0.0% |
| | 1 | 0.2% | 0 | 0.0% |
| | 0 | 0.0% | 1 | 0.2% |
| | 1 | 0.2% | 1 | 0.2% |
| 50 | 9.9% | 71 | 14.0% | |
a The percentage of carriers out of 507 breast cancer patients.
b One BRCA2 VUS was not listed in this table due to its unknown germline/somatic status.
A comparison between clinical characteristics of germline BRCA1/2 variant carriers and non-carriers.
| Characteristics | Non-carriers No. (n = 385) | Germline | Germline | |||||
|---|---|---|---|---|---|---|---|---|
| 50.7±10.3 | 46.6±8.5 | 46.9±9.4 | 0.13 | 46.2±8.0 | 48.5±9.2 | |||
| 12 | 3 | 0.16 | 0 | 1.00 | 3 | 1 | ||
| 373 | 37 | 18 | 19 | 61 | ||||
| 176 | 13 | 0.10 | 6 | 0.29 | 7 | 0.19 | 23 | |
| 206 | 27 | 12 | 15 | 39 | ||||
| 49 | 1 | 0 | 1 | 0.41 | 10 | |||
| 218 | 21 | 4 | 17 | 35 | ||||
| 57 | 1 | 0 | 1 | 8 | ||||
| 48 | 14 | 11 | 3 | 6 | ||||
| 13 | 3 | 3 | 0 | 3 | ||||
| 274 | 22 | 4 | 18 | 0.28 | 47 | |||
| 111 | 18 | 14 | 4 | 15 | ||||
| 266 | 22 | 0.07 | 6 | 16 | 0.72 | 43 | ||
| 119 | 18 | 12 | 6 | 19 | ||||
| 68 | 1 | 0 | 1 | 0.15 | 12 | |||
| 315 | 39 | 18 | 21 | 50 | ||||
| 130 | 2 | 0 | 2 | 18 | ||||
| 255 | 38 | 18 | 20 | 44 | ||||
| 3 | 0 | 0 | 0.34 | 0 | 0.28 | 2 | ||
| 341 | 40 | 18 | 22 | 53 | ||||
| 41 | 0 | 0 | 0 | 7 | ||||
| 126 | 8 | 0.06 | 1 | 7 | 0.73 | 25 | ||
| 230 | 31 | 16 | 15 | 33 | ||||
| 128 | 11 | 0.76 | 4 | 0.70 | 7 | 1.00 | 20 | |
| 227 | 26 | 13 | 13 | 36 | ||||
| 17 | 1 | 1 | 0 | 3 | ||||
| 11 | 0 | 0 | 0 | 3 | ||||
| 166 | 22 | 0.28 | 11 | 0.32 | 11 | 0.71 | 33 | |
| 133 | 10 | 4 | 6 | 22 | ||||
| 85 | 7 | 3 | 4 | 7 | ||||
| 381 | 38 | 0.07 | 16 | 22 | 1.00 | 62 | ||
| 3 | 2 | 2 | 0 | 0 | ||||
| 60 | 7 | 0.13 | 2 | 5 | 0.62 | 12 | ||
| 227 | 22 | 11 | 11 | 40 | ||||
| 93 | 7 | 3 | 4 | 10 | ||||
| 3 | 2 | 2 | 0 | 0 | ||||
| 15 | 2 | 0.67 | 0 | 1.00 | 2 | 0.23 | 4 | |
| 370 | 38 | 18 | 20 | 58 | ||||
a P-value calculated comparing with non-carriers by two-tailed t-tests, Pearson Chi-Square tests, or Fisher's Exact tests as appropriate. Unknown data were not included in the analysis.
A comparison between clinical characteristics of patients with somatic BRCA1/2 variants and non-carriers.
| Characteristics | Non-carriers No. (n = 385) | No. of patients with somatic | No. of patients with Somatic | |||||
|---|---|---|---|---|---|---|---|---|
| 50.7±10.3 | 49.7±10.4 | 0.77 | 42.0±12.1 | 0.15 | 53.5±7.9 | 0.51 | 51.5±6.0 | |
| 12 | 0 | 1.00 | 0 | 1.00 | 0 | 1.00 | 0 | |
| 373 | 9 | 3 | 6 | 8 | ||||
| 176 | 5 | 0.74 | 1 | 1.00 | 4 | 0.42 | 4 | |
| 206 | 4 | 2 | 2 | 4 | ||||
| 49 | 0 | 0.29 | 0 | 0.11 | 0 | 0.63 | 0 | |
| 218 | 7 | 1 | 6 | 7 | ||||
| 57 | 0 | 0 | 0 | 0 | ||||
| 48 | 1 | 1 | 0 | 1 | ||||
| 13 | 1 | 1 | 0 | 0 | ||||
| 274 | 7 | 1.00 | 1 | 0.20 | 6 | 0.19 | 7 | |
| 111 | 2 | 2 | 0 | 1 | ||||
| 266 | 7 | 0.73 | 2 | 1.00 | 5 | 0.67 | 5 | |
| 119 | 2 | 1 | 1 | 3 | ||||
| 68 | 2 | 0.67 | 1 | 0.45 | 1 | 1.00 | 0 | |
| 315 | 7 | 2 | 5 | 8 | ||||
| 130 | 0 | 0 | 0.55 | 0 | 0.18 | 2 | ||
| 255 | 9 | 3 | 6 | 6 | ||||
| 3 | 0 | 1.00 | 0 | 1.00 | 0 | 0.52 | 0 | |
| 341 | 8 | 3 | 5 | 8 | ||||
| 41 | 1 | 0 | 1 | 0 | ||||
| 126 | 2 | 0.50 | 1 | 1.00 | 1 | 0.67 | 2 | |
| 230 | 7 | 2 | 5 | 6 | ||||
| 128 | 0 | 0.10 | 0 | 0.65 | 0 | 0.30 | 1 | |
| 227 | 9 | 3 | 6 | 7 | ||||
| 17 | 0 | 0 | 0 | 0 | ||||
| 11 | 0 | 0 | 0 | 0 | ||||
| 166 | 4 | 0.56 | 2 | 0.45 | 2 | 0.77 | 2 | |
| 133 | 2 | 0 | 2 | 2 | ||||
| 85 | 3 | 1 | 2 | 4 | ||||
| 381 | 9 | 1.00 | 3 | 1.00 | 6 | 1.00 | 8 | |
| 3 | 0 | 0 | 0 | 0 | ||||
| 60 | 0 | 0.48 | 0 | 1.00 | 0 | 0.74 | 1 | |
| 227 | 6 | 2 | 4 | 3 | ||||
| 93 | 3 | 1 | 2 | 4 | ||||
| 3 | 0 | 0 | 0 | 0 | ||||
| 370 | 38 | 0.67 | 18 | 1.00 | 20 | 0.23 | 58 | |
| 15 | 2 | 0 | 2 | 4 | ||||
a P-value calculated comparing with non-carriers by two-tailed t-tests and Fisher's Exact tests as appropriate. Unknown data were not included in the analysis.
Fig 1Impact of BRCA1/2 P/LP variants on the DFS of BC patients with stage 0~III.
Kaplan-Meier survival analysis; P values calculated using a log-rank analysis. Estimated DFS of breast cancer patients with stage 0~III by BRCA status: (A) BRCA1/2 P/LP variants (germline or somatic); (B) BRCA1 and BRCA2 P/LP variants (germline or somatic); (C) Germline and somatic BRCA1/2 P/LP variants; (D) Germline BRCA1 and germline BRCA2 P/LP variants.
Impact of BRCA1/2 P/LP variants and other variables on the DFS and OS of breast cancer patients (Stage 0~III).
| Variables | DFS | OS | ||||
|---|---|---|---|---|---|---|
| #Cases (events) | HR (95% CI) | #Cases (deaths) | HR (95% CI) | |||
| 380 (35) | 1 | 380 (20) | 1 | |||
| 46 (3) | 0.69 (0.21–2.25) | 0.54 | 46 (0) | 0 | 0.30 | |
| 19 (3) | 1.78 (0.55–5.81) | 0.34 | 19 (0) | 0 | 0.51 | |
| 27 (0) | 0 | 0.98 | 27 (0) | 0 | 0.42 | |
| 380 (35) | 1 | 380 (20) | 1 | |||
| 36 (3) | 0.94 (0.29–3.06) | 0.92 | 36 (0) | 0 | 0.37 | |
| 16 (3) | 2.22 (0.68–7.26) | 0.19 | 16 (0) | 0 | 0.55 | |
| 20 (0) | 0 | 0.97 | 20 (0) | 0 | 0.50 | |
| 380 (35) | 1 | 380 (20) | 1 | |||
| 9 (0) | 0 | 0.49 | 9 (0) | 0 | 0.60 | |
| 426 (38) | 1.01 (0.98–1.05) | 0.38 | 426 (20) | 1.03 (0.99–1.08) | 0.11 | |
| 188 (24) | 188 (15) | |||||
| 235 (14) | 1 | 235 (5) | 1 | |||
| 49 (2) | 0.28 (0.06–1.3) | 0.10 | 49 (1) | 0.26 (0.03–2.34) | 0.23 | |
| 241 (16) | 0.48 (0.21–1.12) | 0.09 | 241 (8) | 0.46 (0.14–1.53) | 0.20 | |
| 59 (8) | 1.00 (0.37–2.66) | 1.00 | 59 (4) | 0.95 (0.24–3.83) | 0.95 | |
| 60 (8) | 1 | 60 (4) | 1 | |||
| 17 (4) | 1.9 (0.57–6.31) | 0.30 | 17 (3) | 2.62 (0.58–11.75) | 0.21 | |
| 133 (5) | 1 | 133 (3) | 1 | |||
| 264 (33) | 264 (17) | 2.92 (0.86–9.99) | 0.09 | |||
| 67 (2) | 67 (0) | 0 | 0.96 | |||
| 256 (18) | 256 (8) | |||||
| 103 (18) | 1 | 103 (12) | 1 | |||
| 16 (3) | 1 | 16 (2) | 1 | |||
| 410 (35) | 0.32 (0.1–1.03) | 0.06 | 410 (18) | |||
a Univariate Cox proportional hazards regression models
Fig 2Impact of BRCA1/2 P/LP variants on the DFS of subgroups with early stage.
Kaplan-Meier survival analysis; P values calculated using a log-rank analysis. Estimated DFS of breast cancer patients with stage 0~II by BRCA status: (A) BRCA1 and BRCA2 P/LP variants (germline or somatic); (B) Germline BRCA1 and BRCA2 P/LP variants. Estimated DFS of breast cancer patients with node negative disease by BRCA status: (C) BRCA1 and BRCA2 P/LP variants (germline or somatic); (D) Germline BRCA1 and BRCA2 P/LP variants.
Impact of BRCA1/2 P/LP variants on the DFS of breast cancer patients from subgroups of stage 0~II and III.
| P/LP variants | #Cases (events) | HR (95% CI) | Adjusted HR (95% CI) | ||
|---|---|---|---|---|---|
| 287 (17) | 1 | 1 | |||
| 15 (3) | 2.06 (0.48–8.8) | 0.33 | |||
| 21 (0) | 0 | 0.98 | 0 | 0.99 | |
| 287 (17) | 1 | 1 | |||
| 13 (3) | 2.72 (0.65–11.44) | 0.17 | |||
| 16 (0) | 0 | 0.98 | 0 | 0.99 | |
| 287 (17) | 1 | 1 | |||
| 6 (0) | 0 | 0.66 | 0 | 1.00 | |
| 93 (18) | 1 | 1 | |||
| 4 (0) | 0 | 0.55 | 0 | 0.99 | |
| 6 (0) | 0 | 0.51 | 0 | 0.99 | |
a Univariate Cox proportional hazards regression models
b Multivariate Cox proportional hazards regression models. HR was adjusted by age at diagnosis, molecular subtype (Luminal A, Luminal B, TNBC, HER2+ and ER-PR+), tumor grade (grade I/II and III) and administration of standard therapy.
Impact of BRCA1/2 P/LP variants on the DFS of breast cancer patients from subgroups of N0 and N1~3.
| P/LP variants | #Cases (events) | HR (95% CI) | Adjusted HR (95% CI) | ||
|---|---|---|---|---|---|
| 165 (9) | 1 | 1 | |||
| 11 (2) | 4.08 (0.86–19.4) | 0.08 | 1.7 (0.28–10.32) | 0.56 | |
| 12 (0) | 0 | 0.98 | 0 | 0.99 | |
| 165 (9) | 1 | 1 | |||
| 9 (2) | 3.62 (0.47–27.63) | 0.21 | |||
| 10 (0) | 0 | 0.99 | 0 | 0.99 | |
| 165 (9) | 1 | 1 | |||
| 4 (0) | 0 | 0.70 | 0 | 0.99 | |
| 215 (26) | 1 | 1 | |||
| 8 (1) | 1.01 (0.14–7.47) | 0.99 | 0.7 (0.08–6.02) | 0.74 | |
| 15 (0) | 0 | 0.98 | 0 | 0.98 | |
a Univariate Cox proportional hazards regression models
b Multivariate Cox proportional hazards regression models. HR was adjusted by age at diagnosis, molecular subtype (Luminal A, Luminal B, TNBC, HER2+ and ER-PR+), tumor grade (grade I/II and III) and administration of standard therapy.