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

Authors

Hui Ding (ORCID: https://orcid.org/0000-0002-7568-182X)
Wenpei Shi
Yingying Yang (ORCID: https://orcid.org/0000-0001-9431-9925)
Yaqian Zhao (ORCID: https://orcid.org/0000-0002-2449-4370)
Shanshan Cheng (ORCID: https://orcid.org/0000-0003-2676-7341)
Zhen Li (ORCID: https://orcid.org/0000-0002-6443-8963)
Yue Zhang (ORCID: https://orcid.org/0000-0001-7856-7451)
Na Li (ORCID: https://orcid.org/0000-0002-8463-7441)
Liang Li (ORCID: https://orcid.org/0000-0003-1893-1965)
Yu Wang (ORCID: https://orcid.org/0000-0003-1070-2818)

Institutions

Shanghai First Maternity and Infant Hospital (CN)

Publication Details

Journal: BMC Cancer
Published: 2025-02-26
DOI: https://doi.org/10.1186/s12885-025-13652-9
Citations: 1
Primary Topic: Ovarian cancer diagnosis and treatment
Type: article
Field-Weighted Citation Impact: 1.70

Funders

National Natural Science Foundation of China

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article

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

Hui Ding, Wenpei Shi, Yingying Yang, Yaqian Zhao et al.

Feb 26, 2025

1 citations

BMC Cancer

Ovarian cancer diagnosis and treatment

1.70

article

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

Hui Ding, Wenpei Shi, Yingying Yang, Yaqian Zhao, Shanshan Cheng, Zhen Li, Yue Zhang, Na Li, Liang Li, Yu Wang

February 26, 2025article en

1 citations

Abstract

No abstract available for this paper.

BMC CancerVol. 25(1)

Shanghai First Maternity and Infant Hospital (CN)

National Natural Science Foundation of China

Good health and well-being

Openalex Percentile: Top 19%

Ovarian cancer diagnosis and treatment

1.70

DOI Open Access PDF OpenAlex

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