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

Jacopo Troisi | Zendy; Antonio Raffone | Zendy; Antonio Travaglino | Zendy; Gaetano Belli | Zendy; Carmen Belli | Zendy; Santosh Anand | Zendy; Luigi Giugliano | Zendy; Pierpaolo Cavallo | Zendy; Giovanni Scala | Zendy; S. J. K. Symes | Zendy; Sean Richards | Zendy; David Adair | Zendy; Alessio Fasano | Zendy; Vincenzo Bottigliero | Zendy; Maurizio Guida | Zendy

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

Author(s) -

Jacopo Troisi,

Antonio Raffone,

Antonio Travaglino,

Gaetano Belli,

Carmen Belli,

Santosh Anand,

Luigi Giugliano,

Pierpaolo Cavallo,

Giovanni Scala,

S. J. K. Symes,

Sean Richards,

David Adair,

Alessio Fasano,

Vincenzo Bottigliero,

Maurizio Guida

Publication year - 2020

Publication title -

jama network open

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 3.278

H-Index - 39

ISSN - 2574-3805

DOI - 10.1001/jamanetworkopen.2020.18327

Subject(s) - medicine , prospective cohort study , endometrial cancer , obstetrics and gynaecology , cohort , cancer , gold standard (test) , gynecology , breast cancer , menopause , cohort study , oncology , obstetrics , pregnancy , biology , genetics

Key Points Question Is combining the blood metabolomic signature of endometrial carcinoma with an ensemble machine learning algorithm a useful system for building a screening test for endometrial cancer? Findings In this diagnostic study that included 1550 postmenopausal women, the proposed screening test correctly identified all 16 women with endometrial cancer, with 2 false-positive results and 0 false-negative results. Meaning The results of this study suggest that the metabolomic profile of a blood sample could provide a noninvasive and accurate screening test with high sensitivity and specificity for endometrial cancer.

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