BRCA1/2 mutations, including large genomic rearrangements, among unselected ovarian cancer patients in Korea

Factors predicting BRCA1/2 pathogenic variants in patients with ovarian cancer: a systematic review with meta-analysis

AIM

To provide accurate figures of the frequency of specific clinical features in ovarian cancer (OC) associated with germline BRCA1/2 pathogenic variants and to define their relevance in predicting the presence of a germline pathogenic variant in these genes.

METHODS

A systematic review of papers published from 1995 to February 2022 was performed according to the Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines. Data from eligible papers were synthesised through meta-analysis.

RESULTS

Thirty-seven papers were reviewed, including a total of 12 886 patients with OC. Among BRCA carriers, 86.4% displayed serous type, 83.3% high grade (G3), 83.7% FIGO (The International Federation of Gynecology and Obstetrics) stage III/IV, 39.7% age at diagnosis ≤50 years and 18.1% personal breast cancer history, while the frequency of these features in non-carriers resulted significantly lower (p<0.001). The meta-analysis showed that the strongest predictor of BRCA1/2 pathogenic variants was a personal breast cancer history (OR 5.21, 95% CI 4.02 to 6.55, compared with no previous breast cancer), followed by high grade (OR 2.47, 95% CI 1.97 to 3.10, compared with low/intermediate grade), serous histotype (OR 2.33, 95% CI 2.07 to 2.64, compared with other histotypes), advanced (III/IV) FIGO stage (OR 1.89, 95% CI 1.67 to 2.15, compared with stage I/II) and age at diagnosis ≤50 years (OR 1.20, 95% CI 1.01 to 1.42, compared with >50 years).

CONCLUSION

The results of this meta-analysis provide data on features increasing the prior probability of finding BRCA1/2 pathogenic variants that may prove helpful in counselling patients and prioritising testing.

PROSPERO REGISTRATION NUMBER

CRD42021271815.

Somatic genomic landscape of East Asian epithelial ovarian carcinoma and its clinical implications from prospective clinical sequencing; A Korean Gynecologic Oncology Group study (KGOG 3047)

Through the wide adaptation of next-generation sequencing (NGS) technology within clinical practice, molecular profiling of the tumor has been the principal component of personalized treatment. In this study, we have generated a large collection of cancer genomes on East Asian epithelial ovarian carcinoma (EOC) patients and demonstrate the feasibility and utility of NGS platforms to explore the dynamic interrelations of major cancer driver alterations and their impacts on clinical prognosis and management. A total of 652 EOC patients have undergone clinical NGS panels to determine the prevalence of germline and somatic mutations. Notably, TP53 was the most frequently altered event (73%), followed by both BRCA1 and BRCA2 (22% each) and MYC (19%) through pan-EOC analysis. When analyzed based on individual histopathological levels, TP53 mutation was highly dominant in high-grade serous and mucinous histology, whereas mutations in PIK3CA and ARID1A were mostly observed in clear cell carcinoma, and KRAS, BRAF, and CDKN2A mutations were enriched in endometrioid, low-grade serous, and mucinous tumors, respectively. The network-based probabilistic model showed significant co-occurrences of TP53 with BRCA1 and ALK with BRCA2, NOTCH1, and ROS1, whereas mutual exclusivity of TP53 with KRAS and PIK3CA was evident. Furthermore, we utilized machine-learning algorithms to identify molecular correlates that conferred increased sensitivity to platinum and olaparib treatments including somatic mutations in BRCA1, ATM, and MYC. Conversely, patients with ALK mutation were considerably resistant to both treatment modalities. Collectively, our results demonstrate the clinical feasibility of prospective genetic sequencing to facilitate personalized treatment opportunities for patients with EOC.

Reviewing the occurrence of large genomic rearrangements in patients with inherited cancer predisposing syndromes: importance of a comprehensive molecular diagnosis

INTRODUCTION

Hereditary cancer predisposition syndromes are caused by germline pathogenic or likely pathogenic variants in cancer predisposition genes (CPG). The majority of pathogenic variants in CPGs are point mutations, but large gene rearrangements (LGRs) are present in several CPGs. LGRs can be much more difficult to characterize and perhaps they may have been neglected in molecular diagnoses.

AREAS COVERED

We aimed to evaluate the frequencies of germline LGRs in studies conducted in different populations worldwide through a qualitative systematic review based on an online literature research in PubMed. Two reviewers independently extracted data from published studies between 2009 and 2020. In total, 126 studies from 37 countries and 5 continents were included in the analysis. The number of studies in different continents ranged from 3 to 48 and for several countries there was an absolute lack of information. Asia and Europe represented most of the studies, and LGR frequencies varied from 3.04 to 15.06% in different continents. MLPA was one of the methods of choice in most studies (93%).

EXPERT OPINION

The LGR frequencies found in this review reinforce the need for comprehensive molecular testing regardless of the population of origin and should be considered by genetic counseling providers.

The Progress of the Specific and Rapid Genetic Detection Methods for Ovarian Cancer Diagnosis and Treatment

Cancer is a public health problem that threatens human health. Due to the lack of specific and rapid diagnosis and treatment methods, the 5-year survival rate of patients has not been effectively improved in the past 10 years. Abnormal gene expression is closely related to the occurrence and development of cancer. Cancer diagnosis and treatment methods based on genetic testing have received extensive attention in recent years. It is essential to explore specific and rapid cancer genetic testing methods. Taking ovarian cancer as an example, we reviewed the progress of specific and rapid nucleic acid detection methods related to cancer risk assessment, low-abundance mutation detection, and methylation detection, to provide new strategies and ideas for related research.

Clinical Impact of Somatic Variants in Homologous Recombination Repair-Related Genes in Ovarian High-Grade Serous Carcinoma

Purpose

In this study, we investigated the frequencies of mutations in DNA damage repair genes including BRCA1, BRCA2, homologous recombination genes and TP53 gene in ovarian high-grade serous carcinoma, alongside those of germline and somatic BRCA mutations, with the aim of improving the identification of patients suitable for treatment with poly(ADP-ribose) polymerase inhibitors.

Materials and Methods

Tissue samples from 77 Korean patients with ovarian high-grade serous carcinoma were subjected to next-generation sequencing. Pathogenic alterations of 38 DNA damage repair genes and TP53 gene and their relationships with patient survival were examined. Additionally, we analyzed BRCA germline variants in blood samples from 47 of the patients for comparison.

Results

BRCA1, BRCA2, and TP53 mutations were detected in 28.6%, 5.2%, and 80.5% of the 77 patients, respectively. Alterations in RAD50, ATR, MSH6, MSH2, and FANCA were also identified. At least one mutation in a DNA damage repair gene was detected in 40.3% of patients (31/77). Germline and somatic BRCA mutations were found in 20 of 47 patients (42.6%), and four patients had only somatic mutations without germline mutations (8.5%, 4/47). Patients with DNA damage repair gene alterations with or without TP53 mutation, exhibited better disease-free survival than those with TP53 mutation alone.

Conclusion

DNA damage repair genes were mutated in 40.3% of patients with high-grade serous carcinoma, with somatic BRCA mutations in the absence of germline mutation in 8.5%. Somatic variant examination, along with germline testing of DNA damage repair genes, has potential to detect additional candidates for PARP inhibitor treatment.