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Dataset Information

Development and Validation of a Serum Metabolomic Signature for Endometrial Cancer Screening in Postmenopausal Women.


ABSTRACT:

Importance

Endometrial carcinoma (EC) is the most commonly diagnosed gynecologic cancer. Its early detection is advisable because 20% of women have advanced disease at the time of diagnosis.

Objective

To clinically validate a metabolomics-based classification algorithm as a screening test for EC.

Design, setting, and participants

This diagnostic study enrolled 2 cohorts. A multicenter prospective cohort, with 50 cases (postmenopausal women with EC; International Federation of Gynecology and Obstetrics stage I-III and grade G1-G3) and 70 controls (no EC but matched on age, years from menopause, tobacco use, and comorbidities), was used to train multiple classification models. The accuracy of each trained model was then used as a statistical weight to produce an ensembl

SUBMITTER: Troisi J 

PROVIDER: S-EPMC7522698 | biostudies-literature | 2020 Sep

REPOSITORIES: biostudies-literature