| Literature DB >> 35847868 |
Kemin Li1,2, Jing Zeng1,2, Mengpei Zhang1,2, Rutie Yin1,2, Zhengyu Li1,2.
Abstract
Objective: To study the correlation between BRCA mutation status and the risk of adverse reactions in patients with ovarian cancer. Method: A real-world study was conducted at the largest gynecological oncology center in western China, the West China Second University Hospital of Sichuan University. The research subjects were patients diagnosed with ovarian cancer who were initially treated in our hospital from January 2016 to January 2020 and had their BRCA gene status evaluated. Multivariate Cox analysis was conducted to investigate the correlation between the BRCA mutation status and adverse reactions in ovarian cancer patients during initial treatment.Entities:
Keywords: BRCA; allergies to chemotherapy drugs; myelosuppression; ovarian cancer; real-world study
Year: 2022 PMID: 35847868 PMCID: PMC9279692 DOI: 10.3389/fonc.2022.807748
Source DB: PubMed Journal: Front Oncol ISSN: 2234-943X Impact factor: 5.738
Basic characteristics of research subjects.
| BRCA+ | |||||||
|---|---|---|---|---|---|---|---|
| BRCA1+ | BRCA2+ | total | BRCA- | total | P | ||
| n | 57 | 22 | 79 | 270 | 349 | ||
| Years | 49.6±13.5 | 50.6±13.2 | 50.1±13.3 | 49.8±12.9 | 50.0±13.1 | 0.75 | |
| Neoadjuvant chemotherapy | 17 | 10 | 27 | 58 | 85 | 0.02 | |
| Family history | 43 | 14 | 57 | 118 | 175 | <0.0001 | |
| Pathological type | Epithelial | 52 | 21 | 73 | 260 | 333 | 0.15 |
| carcinosarcoma | 3 | 1 | 4 | 3 | 7 | 0.04 | |
| others | 2 | 0 | 2 | 7 | 9 | 0.98 | |
| FIGO stage | IA-IIA | 5 | 0 | 5 | 63 | 68 | 0.002 |
| ≥IIB | 52 | 22 | 74 | 207 | 281 | 0.002 | |
| Chemotherapy cycles (mean) | NC | 0.8 | 1.7 | 1.0 | 1.0 | 1.0 | 0.89 |
| AC | 7.4 | 7.0 | 7.4 | 7.4 | 7.4 | 0.79 | |
| total | 8.2 | 8.7 | 8.8 | 8.4 | 8.4 | 0.86 | |
| Regimens | T+P | 12 | 4 | 16 | 49 | 65 | 0.67 |
| T+C | 10 | 4 | 14 | 45 | 59 | 0.83 | |
| T+P/C | 35 | 14 | 49 | 176 | 225 | 0.61 | |
| White blood cell | ≥1 grade | 57 | 22 | 79 | 263 | 342 | 0.3 |
| ≥3 grade | 15 | 6 | 21 | 92 | 113 | 0.21 | |
| neutrophils | ≥1 grade | 57 | 22 | 79 | 265 | 344 | 0.42 |
| ≥3 grade | 14 | 9 | 23 | 118 | 141 | 0.02 | |
| Anemia | ≥1 grade | 53 | 21 | 74 | 247 | 321 | 0.53 |
| ≥3 grade | 0 | 0 | 0 | 2 | 2 | 0.8 | |
| platelets | ≥1 grade | 31 | 6 | 37 | 106 | 143 | 0.23 |
| ≥3 grade | 6 | 1 | 7 | 28 | 35 | 0.69 | |
| thromboembolism | 11 | 2 | 12 | 39 | 52 | 0.87 | |
| allergy | platinum | 10 | 1 | 11 | 15 | 26 | 0.02 |
| Taxol | 2 | 1 | 3 | 8 | 11 | 0.71 | |
| G-CSF | 37 | 11 | 48 | 161 | 209 | 0.86 | |
G-CSF, granulocyte colony stimulating factor; BRCA, Breast Cancer susceptibility gene; NC, neoadjuvant chemotherapy; AC, adjuvant chemotherapy; T, paclitaxel; P, cisplatin; C, carboplatin.
Correlation between pathogenic BRCA variants and adverse reactions.
| Adverse reactions | genes | Standard error | Wald | P VALUE | 95%CI |
|---|---|---|---|---|---|
| Allergic reaction | BRCA1 | 177.6 | 0.006 | 0.9382 | (0.887-1.228) |
| BRCA2 | 110.9 | 0.0664 | 0.7967 | (0.793-1.156 | |
| Abnormal liver function | BRCA1 | 0.4873 | 0.3328 | 0.564 | (0.540-1.226) |
| BRCA2 | 0.7201 | 0.5238 | 0.4692 | (0.472-2.367) | |
| leukopenia | BRCA1 | 0.4717 | 0.3209 | 0.5711 | (0.558-2.154) |
| BRCA2 | 0.8832 | 2.462 | 0.1166 | (0.332-3.441) | |
| neutropenia | BRCA1 | 0.4602 | 0.1066 | 0.744 | (0.792-1.164) |
| BRCA2 | 1.0135 | 1.8695 | 0.1715 | (0.223-3.471) | |
| anemia | BRCA1 | 0.4993 | 0.1056 | 0.7452 | (0.669-1.132) |
| BRCA2 | 0.8745 | 0.089 | 0.7654 | (0.693-1.201) | |
| thrombocytopenia | BRCA1 | 0.5124 | 1.695 | 0.1929 | (0.341-2.998) |
| BRCA2 | 0.9958 | 0.0635 | 0.8011 | (0.889-1.219) | |
| thromboembolism | BRCA1 | 0.7396 | 0.0029 | 0.9571 | (0.993-1.077) |
| BRCA2 | 77.5065 | 0.0012 | 0.9725 | (0.989-1.041) |
BRCA, Breast Cancer susceptibility gene.