Actively Recruiting

Age: 18Years +
FEMALE
ID06564428

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

Led by Peking University Third Hospital · Updated on 2025-06-18

1000

Participants Needed

1

Research Sites

N/A

Total Duration

On this page

AI-Summary

What this Trial Is About

Researchers are conducting a multicenter observational study to understand hereditary ovarian cancer among Chinese patients. The study aims to describe the clinical and genetic features of hereditary ovarian cancer and establish a risk prediction model to estimate cancer risk in first-degree relatives of mutation carriers. It also seeks to identify new tumor-causing mutations in families with hereditary ovarian cancer where known genetic causes are not found. Participants include patients diagnosed with epithelial ovarian cancer, divided into two groups: those with suspected gene mutations or a family history of cancer, and those without these factors. The study will follow these groups from 2024 to 2026 to analyze clinical, pathological, and genetic information. Through genetic sequencing and family history, the research team will explore new genetic mechanisms and verify the risk prediction model. Participants will undergo genetic testing and clinical evaluations over the study period from 2024 to 2026. Researchers will collect data on tumor features, gene mutations, and family histories. The primary outcome is to describe clinicopathological and genetic characteristics of hereditary ovarian cancer. Secondary outcomes include monitoring new ovarian cancer cases in first-degree relatives. The study aims to guide personalized diagnosis, treatment, and preventive interventions for high-risk families.

CONDITIONS

Brief Title

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

Who Can Participate

Age: 18Years +
FEMALE

Eligibility Criteria

Eligible

You may qualify if you...

  • Diagnosed with epithelial ovarian cancer
  • At least 18 years old
  • Clear pathological diagnosis of ovarian cancer
  • Genetic test shows germ line pathogenic or suspected pathogenic mutations as per American ACMG standards
Not Eligible

You will not qualify if you...

  • Diagnosed with non-epithelial ovarian cancer confirmed by pathology
  • Has not undergone genetic testing for ovarian cancer mutations

AI-Screening

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Your Study Journey

Screening

Duration - 2 to 4 weeks

Participants are screened for eligibility to participate in the trial.

1 visit (in-person)

Monitoring

Duration - Up to 3 years

Participants are observed to describe the clinicopathological and genetic mutation characteristics of hereditary ovarian cancer and to follow up on family history and gene mutations.

Periodic visits for follow-up assessments over the study period

Trial Site Locations

Total: 1 location

1

Peking University Third Hospital

Beijing, Beijing Municipality, China, 100000

Actively Recruiting

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Research Team

Y

Yuan Li, Doctor

How is the study designed?

Study Type

OBSERVATIONAL

Masking

N/A

Allocation

N/A

Model

N/A

Primary Purpose

N/A

Number of Arms

2

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Published Research Related To This Trial

Risk Assessment, Genetic Counseling, and Genetic Testing for BRCA-Related Cancer: US Preventive Services Task Force Recommendation Statement.

US Preventive Services Task Force, Douglas K Owens, Karina W Davidson...

https://pubmed.ncbi.nlm.nih.gov/31429903

A preliminary validation of a family history assessment form to select women at risk for breast or ovarian cancer for referral to a genetics center.

C A Gilpin, N Carson, A G Hunter

https://pubmed.ncbi.nlm.nih.gov/11076055

Validation of a tool for identifying women at high risk for hereditary breast cancer in population-based screening.

Kent F Hoskins, Alice Zwaagstra, Michael Ranz

https://pubmed.ncbi.nlm.nih.gov/16967460

Development and validation of a simple questionnaire for the identification of hereditary breast cancer in primary care.

Patricia Ashton-Prolla, Juliana Giacomazzi, Aishameriane V Schmidt...

https://pubmed.ncbi.nlm.nih.gov/19682358