A germline 29.5-kb deletion variant removes the 3' end of the APOBEC3A gene and a large part of APOBEC3B, creating a hybrid gene that has been linked to increased APOBEC3 activity and DNA damage in human cancers. We genotyped the APOBEC3A/B deletion in hospital-based samples of 1398 Norwegian epithelial ovarian cancer patients without detected BRCA1/2 germline mutations and compared to 1,918 healthy female controls, to assess the potential cancer risk associated with the deletion. We observed an association between APOBEC3A/B status and reduced risk for ovarian cancer (OR = 0.75; CI = 0.61-0.91; p = 0.003) applying the dominant model. Similar results were found in other models. The association was observed both in non-serous and serous cases (dominant model: OR = 0.69; CI = 0.50-0.95; p = 0.018 and OR = 0.77; CI = 0.62-0.96; p = 0.019, respectively) as well as within high-grade serous cases (dominant model: OR = 0.79; CI = 0.59-1.05). For validation purposes, we mined an available large multinational GWAS-based data set of > 18,000 cases and > 26,000 controls for SNP rs12628403, known to be in linkage disequilibrium with the APOBEC3A/B deletion. We found a non-significant trend for SNP rs12628403 being linked to reduced risk of ovarian cancer in general and similar trends for all subtypes. For clear cell cancers, the risk reduction reached significance (OR = 0.85; CI = 0.69-1.00).
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http://dx.doi.org/10.1038/s41598-021-02820-z | DOI Listing |
J Ovarian Res
January 2025
Department of Medical Genetics, National Taiwan University Hospital, 19F, No. 8, Chung-Shan South Road, Taipei City, Taiwan.
Background: The homologous recombination deficiency (HRD) test is an important tool for identifying patients with epithelial ovarian cancer (EOC) benefit from the treatment with poly(adenosine diphosphate-ribose) polymerase inhibitor (PARPi). Using whole exome sequencing (WES)-based platform can provide information of gene mutations and HRD score; however, the clinical value of WES-based HRD test was less validated in EOC.
Methods: We enrolled 40 patients with EOC in the training cohort and 23 in the validation cohort.
J Ovarian Res
January 2025
Department of Health Education, Nanjing Municipal Center for Disease Control and Prevention, No.3, Zizhulin Road, Nanjing, Jiangsu Province, 210003, China.
Background: PARP inhibitors (PARPis) have shown promising effectiveness for ovarian cancer. This network meta-analysis (PROSPERO registration number CRD42024503390) comprehensively evaluated the effectiveness and safety of PARPis in platinum-sensitive recurrent ovarian cancer (PSROC).
Methods: Articles published before January 6, 2024 were obtained from electronic databases.
J Transl Med
January 2025
Department of Clinical Epidemiology, Shengjing Hospital of China Medical University, Shenyang, China.
Background: The evidence on the relationship of dietary antioxidant nutrients with the survival of ovarian cancer (OC) remains scarce.
Objective: This study aimed to investigate these associations in a prospective cohort of Chinese patients with OC.
Methods: In this prospective cohort study, patients with epithelial OC completed a food frequency questionnaire at diagnosis and 12 months post-diagnosis, and were followed from 2015 to 2023.
JMIRx Med
January 2025
Department of Biochemistry and Medical Genetics, Cancer Center, University of Illinois Chicago, 900 s Ashland, Chicago, IL, 60617, United States, 1 8479124216.
Background: The causes of breast cancer are poorly understood. A potential risk factor is Epstein-Barr virus (EBV), a lifelong infection nearly everyone acquires. EBV-transformed human mammary cells accelerate breast cancer when transplanted into immunosuppressed mice, but the virus can disappear as malignant cells reproduce.
View Article and Find Full Text PDFNPJ Precis Oncol
January 2025
Centre for Computational Imaging and Simulation Technologies in Biomedicine (CISTIB), School of Computing, University of Leeds, Leeds, UK.
Histopathology foundation models show great promise across many tasks, but analyses have been limited by arbitrary hyperparameters. We report the most rigorous single-task validation study to date, specifically in the context of ovarian carcinoma morphological subtyping. Attention-based multiple instance learning classifiers were compared using three ImageNet-pretrained encoders and fourteen foundation models, each trained with 1864 whole slide images and validated through hold-out testing and two external validations (the Transcanadian Study and OCEAN Challenge).
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