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Ferroptosis-Related Long Noncoding RNAs as Prognostic Marker for Colon Adenocarcinoma

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单位: [1]Department of Gastroenterology, Beijing Friendship Hospital, Capital Medical University, National Clinical Research Center for Digestive Diseases, Beijing 100050, China [2]Graduate School of Peking Union Medical College, Chinese Academy of Medical Sciences, Beijing 100029, China
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Background. The incidence of colon adenocarcinoma (COAD) has been increasing over time. Although ferroptosis and long noncoding RNAs (lncRNAs) have been extensively reported to participate in the tumorigenesis and development of COAD, few studies have investigated the role of ferroptosis-related lncRNAs in the prognosis of COAD. Methods. Gene-sequencing and clinical data for COAD were obtained from The Cancer Genome Atlas database. The coexpression network was constructed using known ferroptosis-related genes. Cox and least absolute shrinkage and selection operator regression were used to screen ferroptosis-related lncRNAs with prognostic value and to identify a predictive model of COAD. Patients with COAD were divided into low- and high-risk groups according to their risk score. Cases of COAD in the International Cancer Genome Consortium database were included as the testing cohort. Results. In total, nine lncRNAs (LINC02381, AC105219.1, AC009283.1, LINC01011, ELFN1-AS1, EIF3J-DT, NKILA, LINC01063, and SNHG16) were considered prognostic factors for COAD. Then, a risk score model was established. The overall survival rate of COAD patients was negatively associated with the risk score. Kaplan-Meier analyses in the original and testing cohorts showed similar results. The expression of the lncRNAs in tissue was consistent with the risk score, and the relationship with tumor mutation burden, immunity, and drug sensitivity presented a marked link between the signature and COAD. A nomogram was established for clinical applications. Conclusions. Nine ferroptosis-related lncRNAs and the established signature have a certain predictive value for prognosis of COAD patients and can be used as potential research targets for exploring treatment of COAD.

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出版当年[2021]版:
大类 | 4 区 计算机科学
小类 | 4 区 工程:生物医学 4 区 机器人学
最新[2025]版:
大类 | 4 区 计算机科学
小类 | 4 区 工程:生物医学 4 区 机器人学
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出版当年[2020]版:
Q4 ENGINEERING, BIOMEDICAL Q4 ROBOTICS
最新[2023]版:
Q3 ENGINEERING, BIOMEDICAL Q3 ROBOTICS

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第一作者单位: [1]Department of Gastroenterology, Beijing Friendship Hospital, Capital Medical University, National Clinical Research Center for Digestive Diseases, Beijing 100050, China
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