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To analyze the characteristics of BRCA gene mutations in patients with ovarian epithelial carcinoma and fallopian tube carcinoma, and to investigate the impact of mutations in the functional domains of the BRCA genes on the prognosis of patients. This research collected a total of 273 patients diagnosed with primary ovarian epithelial carcinoma or fallopian tube carcinoma by pathological examination at the First Affiliated Hospital of Nanjing Medical University between January 2009 and December 2023.Data on their BRCA gene mutation status, clinicopathological data, and follow-up information were collected. A retrospective analysis was conducted to evaluate the association between BRCA gene mutations and patients' prognosis, including progression free survival (PFS) and overall survival (OS) time. Among the 273 patients with ovarian or fallopian tube carcinoma, 101 cases (37.0%, 101/273) were positive for BRCA gene mutations (BRCA-positive group), while 172 cases (63.0%, 172/273) were negative for BRCA gene mutations (BRCA-negative group). (1) Clinicopathological characteristics: compared with the BRCA-negative group, the BRCA-positive group had a younger age at diagnosis, lower proportion of postmenopausal status, and lower recurrence rate (all <0.05). Additionally, the BRCA-positive group showed a higher prevalence of family history of gynecological malignancies and a higher rate of no visible residual disease (R0) resection, all with statistical significance (all <0.05). (2) Characteristics of BRCA gene mutations: among the 101 BRCA-positive patients, 74 cases (27.1%, 74/273) had BRCA1 gene mutations, 26 cases (9.5%, 26/273) had BRCA2 gene mutations, and 1 case (0.4%, 1/273) had indeterminate mutation records. According to the American College of Medical Genetics and Genomics (ACMG) 2015 guideline, mutations of uncertain significance accounted for 22.8% (23/101), likely pathogenic mutations accounted for 10.9% (11/101), and pathogenic mutations accounted for 59.4% (60/101), with 5.9% (6/101) unclassifiable. BRCA1 and BRCA2 genes have three (RING, DBD, BRCT) and two (RAD51-BD, DBD) major functional domains, respectively. Among the 89 BRCA-positive patients with detailed domain mutation data, the overall domain mutation rate was 40.4% (36/89), distributed as follows: DBD 14.6% (13/89), BRCT 12.4% (11/89), RING 4.5% (4/89), and RAD51-BD 9.0% (8/89). (3) Association between BRCA gene functional domain mutations and prognosis: among 77 patients with advanced stage (Ⅲ-Ⅳ) ovarian epithelial carcinoma in the BRCA-positive group with functional domain mutation data, the median PFS time was significantly longer in the 31 patients with domain mutations compared to the 46 patients with non-domain mutations (not reached during the follow-up period, vs 26.0 months; =0.035). However, there was no significant difference in median OS time between the two groups (not reached during the follow-up period, vs 67.0 months; =0.513). Median PFS time was longer in 13 patients with mutations in the DBD functional domain than that in 64 patients with mutations outside the DBD functional domain (not reached during the follow-up period, vs 28.0 months; =0.042), whereas there was no significant difference in the comparison of median OS time between the two groups (not reached during the follow-up period, vs 67.0 months; =0.321). (4) Association between BRCA gene functional domain mutations and efficacy of poly adenosine diphosphate ribose polymerase inhibitor (PARPi) maintenance therapy: among 51 advanced stage ovarian epithelial carcinoma patients who received PARPi maintenance therapy in the BRCA-positive group, 20 patients with domain mutations demonstrated significantly longer median PFS time compared to 31 patients with non-domain mutations (not reached during the follow-up period, vs 31.0 months; =0.039). However, no significant difference was observed in median OS time between the two groups (not reached during the follow-up period, vs 53.0 months; =0.178). PARPi maintenance therapy was more effective in the 9 patients with mutations in the DBD functional domain than that in the 42 patients with mutations located outside the DBD structural domain, with significant differences observed in both median PFS time (both not reached during the follow-up period; =0.007) and median OS time (both not reached during the follow-up period; =0.037). In contrast, patients with mutations in the BRCT or RAD51-BD domains showed no significant differences in either median PFS or OS time compared to patients with mutations outside these domains (all >0.05). Patients with ovarian epithelial carcinoma and fallopian tube carcinoma who harbor BRCA functional domain mutations exhibit significantly longer median PFS time compared to those with non-domain mutations. Moreover, among patients received PARPi maintenance therapy, those with mutations in the DBD domain have a better median PFS and OS time benefit.
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http://dx.doi.org/10.3760/cma.j.cn112141-20250120-00030 | DOI Listing |
Biochem Biophys Rep
December 2025
Division of Breast Surgery, Department of Surgery, Taipei Veterans General Hospital, Taipei, 112, Taiwan.
Purpose: This study aimed to conduct functional proteomics across breast cancer subtypes with bioinformatics analyses.
Methods: Candidate proteins were identified using nanoscale liquid chromatography with tandem mass spectrometry (NanoLC-MS/MS) from core needle biopsy samples of early stage (0-III) breast cancers, followed by external validation with public domain gene-expression datasets (TCGA TARGET GTEx and TCGA BRCA).
Results: Seventeen proteins demonstrated significantly differential expression and protein-protein interaction (PPI) found the strong networks including COL2A1, COL11A1, COL6A1, COL6A2, THBS1 and LUM.
Transl Oncol
September 2025
The University of New Mexico, Albuquerque, NM, USA. Electronic address:
Ovarian and endometrial cancers frequently harbor a mutation in the tumor suppressor gene TP53, which occurs in over 90 % of ovarian cancers and in the most aggressive endometrial cancers. The normal tumor suppressive functions of p53 are disrupted, resulting in unregulated cell growth and therapeutic resistance to standard treatments including chemotherapy and PARP inhibitors. Hence, a novel therapeutic strategy is urgently needed for p53 mutant gynecologic cancers, and we propose that converting mutant p53 to a wild type conformation and restoring its tumor suppressive functions has the potential to greatly improve treatment.
View Article and Find Full Text PDFBreast Cancer (Dove Med Press)
August 2025
State Key Laboratory of Pathogenesis, Prevention and Treatment of High Incidence Diseases in Central Asia, The First Affiliated Hospital of Xinjiang Medical University, Urumqi, People's Republic of China.
Introduction: The Bystin gene (BYSL) contributes to cancer development and is a probable therapeutic target in cancer therapy. However, no systematic studies have been conducted on BYSL value in pan-cancer diagnosis, prognosis, and immunology.
Methods: We performed a pan-cancer analysis of BYSL using TCGA, GEO, and other databases to assess its expression, clinical significance, genetic variants, methylation, and immune correlation.
J Pathol
September 2025
Department of Acupuncture and Moxibustion, Shenzhen Bao'an Traditional Chinese Medicine Hospital, Shenzhen, PR China.
Breast cancer progression is profoundly influenced by interactions within the tumor microenvironment, particularly between cancer-associated fibroblasts and immune cells. This study investigated how cancer-associated fibroblasts impact immune cells in the context of high-fat diets, focusing on key genes involved in these interactions. By analyzing breast cancer-related single-cell and bulk RNA sequencing data, we identified candidate genes in cancer-associated fibroblasts that influence immune cell behavior.
View Article and Find Full Text PDFMedicine (Baltimore)
August 2025
Department of Biochemistry and Molecular Biology, Laboratory of Population Genetics, University of Dhaka, Dhaka, Bangladesh.
Breast cancer, a major health concern worldwide, involves diverse molecular subtypes and complex gene expression patterns. This study conducted a comprehensive bioinformatics analysis of breast cancer, analyzing 10 gene expression datasets from the Gene Expression Omnibus archive to find common genes that exhibit differential expression (DEGs). Then, we conducted pan-cancer and functional enrichment analyses, including single-cell level investigations of DEGs.
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