Development of a radiomic model to predict CEACAM1 expression and prognosis in ovarian cancer

Development of a radiomic model to predict CEACAM1 expression and prognosis in ovarian cancer

Abstract We aimed to investigate the prognostic role of CEACAM1 and to construct a radiomic model to predict CEACAM1 expression and prognosis in ovary cancer (OC). Sequencing data and CT scans in OC were sourced from TCGA and TCIA databases. CEACAM1 expression was assessed by Cox regression analyses...

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Bibliographic Details
Main Authors: Xiaoxue Zhang, Liping Han, Fangfang Nie, Huimin Zhang, Liming Li, Ruopeng Liang
Format: Article
Language:English
Published: Nature Portfolio 2025-04-01
Series:Scientific Reports
Subjects:
Ovarian cancer
CEACAM1
Prognosis
Radiomics
Online Access:https://doi.org/10.1038/s41598-025-99625-1
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https://doi.org/10.1038/s41598-025-99625-1

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