A Cohort Study of Hereditary Ovarian Cancer Risk Prediction Models and Pathogenesis Exploration

NCT06564428RecruitingOBSERVATIONAL

Summary

Key Facts

Lead Sponsor

Peking University Third Hospital

Enrollment

1000

Start Date

2024-01-01

Completion Date

2026-12-31

Study Type

OBSERVATIONAL

Official Title

A Cohort Study of Hereditary Ovarian Cancer Risk Prediction Models and Pathogenesis Exploration

Interventions

Suspective gene mutations and family history

Conditions

Ovarian Neoplasms

Eligibility

Age Range

18 Years+

Sex

FEMALE

Inclusion Criteria:

* Epithelial ovarian cancer
* ≥18 years
* The pathological diagnosis was clear
* The genetic test showed germ line pathogenic/suspected pathogenic mutations (for mutation interpretation, refer to the American ACMG Classification Standards and Guidelines for Genetic Variation)

Exclusion Criteria:

* Non-epithelial ovarian cancer was confirmed by pathology
* No genetic test has been performed

Outcome Measures

Primary Outcomes

The clinicopathological features and gene mutation characteristics of hereditary ovarian cancer

* personal history (age, BMI, oral contraceptive use, hormone replacement therapy use, tubal ligation) * menstrual marriage and childbearing history (whether or not menopause, menopausal age, menarche age, the number of births) * personal history of tumor (history of malignant tumor, tumor type, pathological type, tumor stage, age of onset) ④family history of cancer (family history of cancer or not, number/person of cancer in first/second/third degree relatives, relationship with patients, tumor type, pathological type, tumor stage, age of onset, gene detection) ⑤results of gene detection (detection items, specimen type, mutation, mutated gene, cDNA change, amino acid change, mutation type, mutation significance)

Time frame: 2024-2026

Secondary Outcomes

Newly diagnosed ovarian cancer in a first-degree relative

The pathological diagnosis was epithelial ovarian cancer

Time frame: 2024-2026

Locations

Peking University Third Hospital, Beijing, China

Linked Papers

2022-09-26

Enhancing the BOADICEA cancer risk prediction model to incorporate new data on RAD51C , RAD51D , BARD1 updates to tumour pathology and cancer incidence

Background BOADICEA (Breast and Ovarian Analysis of Disease Incidence and Carrier Estimation Algorithm) for breast cancer and the epithelial tubo-ovarian cancer (EOC) models included in the CanRisk tool ( www.canrisk.org ) provide future cancer risks based on pathogenic variants in cancer-susceptibility genes, polygenic risk scores, breast density, questionnaire-based risk factors and family history. Here, we extend the models to include the effects of pathogenic variants in recently established breast cancer and EOC susceptibility genes, up-to-date age-specific pathology distributions and continuous risk factors. Methods BOADICEA was extended to further incorporate the associations of pathogenic variants in BARD1 , RAD51C and RAD51D with breast cancer risk. The EOC model was extended to include the association of PALB2 pathogenic variants with EOC risk. Age-specific distributions of oestrogen-receptor-negative and triple-negative breast cancer status for pathogenic variant carriers in these genes and CHEK2 and ATM were also incorporated. A novel method to include continuous risk factors was developed, exemplified by including adult height as continuous. Results BARD1 , RAD51C and RAD51D explain 0.31% of the breast cancer polygenic variance. When incorporated into the multifactorial model, 34%–44% of these carriers would be reclassified to the near-population and 15%–22% to the high-risk categories based on the UK National Institute for Health and Care Excellence guidelines. Under the EOC multifactorial model, 62%, 35% and 3% of PALB2 carriers have lifetime EOC risks of <5%, 5%–10% and >10%, respectively. Including height as continuous, increased the breast cancer relative risk variance from 0.002 to 0.010. Conclusions These extensions will allow for better personalised risks for BARD1 , RAD51C , RAD51D and PALB2 pathogenic variant carriers and more informed choices on screening, prevention, risk factor modification or other risk-reducing options.

2021-01-07

Risk assessment and genetic counseling for hereditary breast and ovarian cancer syndromes—Practice resource of the National Society of Genetic Counselors

AbstractCancer risk assessment and genetic counseling for hereditary breast and ovarian cancer (HBOC) are a communication process to inform and prepare patients for genetic test results and the related medical management. An increasing number of healthcare providers are active in the delivery of cancer risk assessment and testing, which can have enormous benefits for enhanced patient care. However, genetics professionals remain key in the multidisciplinary care of at‐risk patients and their families, given their training in facilitating patients’ understanding of the role of genetics in cancer development, the potential psychological, social, and medical implications associated with cancer risk assessment and genetic testing. A collaborative partnership of non‐genetics and genetics experts is the ideal approach to address the growing number of patients at risk for hereditary breast and ovarian cancer. The goal of this practice resource is to provide allied health professionals an understanding of the key components of risk assessment for HBOC as well as the use of risk models and published guidelines for medical management. We also highlight what patient types are appropriate for genetic testing, what are the most appropriate test(s) to consider, and when to refer individuals to a genetics professional. This practice resource is intended to serve as a resource for allied health professionals in determining their approach to delivering comprehensive care for families and individuals facing HBOC. The cancer risk and prevalence figures in this document are based on cisgender women and men; the risks for transgender or non‐binary individuals have not been studied and therefore remain poorly understood.