A risk model based on 10 ferroptosis regulators and markers established by LASSO-regularized linear Cox regression has a good prognostic value for ovarian cancer patients

A risk model based on 10 ferroptosis regulators and markers established by LASSO-regularized linear Cox regression has a good prognostic value for ovarian cancer patients

Abstract Ovarian cancer is the deadliest gynecologic cancer due to its high rate of recurrence and limited early diagnosis. For certain patients, particularly those with recurring disorders, standard treatment alone is insufficient in the majority of cases. Ferroptosis, an iron- and ROS (reactive ox...

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Bibliografiske detaljer
Main Authors: Tingchuan Xiong, Yinghong Wang, Changjun Zhu
Format: Article
Sprog:English
Udgivet: BMC 2024-01-01
Serier:Diagnostic Pathology
Fag:
Ovarian cancer
ESTIMATE algorithm
Immune score
10-ferroptosis regulator and marker signature
LASSO-regularized linear Cox regression
Online adgang:https://doi.org/10.1186/s13000-023-01414-9

Internet

https://doi.org/10.1186/s13000-023-01414-9

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