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Protocol of the SOCFC project: a longitudinal cohort study of ovarian cancer patients, high-risk populations, and healthy controls to identify factors and biomarkers associated with disease diagnosis and prognosis

  • 0Clinical Research Unit, Shanghai Key Laboratory of Maternal Fetal Medicine, Shanghai Institute of Maternal-Fetal Medicine and Gynecologic Oncology, Shanghai First Maternity and Infant Hospital, School of Medicine, Tongji University, Shanghai, 200092, China.
Bmc Cancer +

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February 26, 2025

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February 26, 2025

View abstract on PubMed

Summary

This summary is machine-generated.

The Shanghai Ovarian Cancer and Family Care Project (SOCFCP) is a large cohort study investigating ovarian cancer (OC) risk factors and biomarkers. This research aims to improve early diagnosis and treatment strategies for ovarian cancer.

Area Of Science

  • Oncology
  • Epidemiology
  • Genetics

Background

  • Ovarian cancer (OC) presents significant challenges due to late diagnosis, metastasis, and high recurrence rates.
  • Effective screening and prognostic tools for OC are currently lacking, necessitating innovative research.
  • The Shanghai Ovarian Cancer and Family Care Project (SOCFCP) was established to address these critical unmet needs.

Purpose Of The Study

  • To identify key factors and biomarkers associated with the onset, treatment, and prognosis of ovarian cancer.
  • To develop predictive models for improved diagnosis, treatment, and prognosis of OC.
  • To foster multidisciplinary research in both fundamental and clinical aspects of OC.

Main Methods

  • Recruiting over 2000 ovarian lesion patients, 900 high-risk individuals, and 3000 healthy controls in Shanghai from 2023-2028.
  • Establishing three cohorts: bidirectional patients, prospective high-risk, and healthy controls, with long-term follow-up.
  • Collecting diverse data including lifestyle, sociodemographic, clinical parameters, and biological samples (blood, fecal, tissue) for comprehensive analysis using advanced statistical models.

Main Results

  • Data collection and participant recruitment are ongoing.
  • The study is designed to yield comprehensive data on ovarian cancer etiology, progression, and outcomes.
  • Analysis will employ multivariate logistic models, Cox regression, and linear mixed-effects models.

Conclusions

  • The SOCFCP integrates extensive data on lifestyle, environment, genetics, and clinical features, alongside biological samples.
  • This project provides a robust foundation for understanding OC etiology, treatment, and prognosis.
  • The study is expected to drive advancements in ovarian cancer research and clinical practice.

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