An Autophagy-related LncRNA Prognostic Risk Model for Thyroid Cancer

Overview

Journal Eur Arch Otorhinolaryngol

Specialty Otorhinolaryngology

Date 2021 Nov 1

PMID 34724113

Citations 8

Authors

Yanan Shan

Ran He

Xiaowei Yang

Siwen Zang

Shan Yao

Min Gao

Sixuan Li

Zhihua Yin

Affiliations

Soon will be listed here.

Abstract

Purpose: Thyroid cancer (TC) is the most common malignancy of the endocrine system and its incidence is gradually rising. Research has demonstrated a close link between autophagy and thyroid cancer. We constructed a prognostic model of autophagy-related long non-coding RNA (lncRNA) in thyroid cancer and explored its prognostic value.

Methods: The data used in this study were all obtained from The Cancer Genome Atlas (TCGA) database and the Human Autophagy Database (HADb). We construct a co-expression network by autophagy-related genes and lncRNA to obtain autophagy-related lncRNAs. After univariate Cox regression analysis and multivariate Cox regression analysis, autophagy-related lncRNAs significantly associated with prognosis were identified. Based on the risk score of lncRNA, thyroid cancer patients are divided into high-risk group and low-risk group.

Results: A total of 14,142 lncRNAs and 212 autophagy-related genes (ATGs) were obtained from the TCGA database and the HADb, respectively. We performed lncRNA-ATGs correlation analysis and finally obtained 1,166 autophagy-associated lncRNAs. Subsequently, we conducted univariate Cox regression analysis and multivariate Cox regression analysis, nine autophagy-related lncRNAs (AC092279.1, AC096677.1, DOCK9-DT, LINC02454, AL136366.1, AC008063.1, AC004918.3, LINC02471 and AL162231.2) significantly associated with prognosis were identified. Based on these autophagy-related lncRNAs, a risk model was constructed. The area under the curve (AUC) of the risk score was 0.905, proving that the accuracy of risk signature was superior. In addition, multiple regression analysis showed that risk score was a significant independent prognostic risk factor for thyroid cancer.

Conclusion: In this study, nine autophagy-related lncRNAs in thyroid cancer were established to predict the prognosis of thyroid cancer patients.

Citing Articles

A New Ferroptosis-Related Long Non-Coding RNA Risk Model Predicts the Prognosis of Patients With Papillary Thyroid Cancer.

Zhao J, Yao J, Zhang X, Wang K, Jiang S, Guo S World J Oncol. 2024; 15(4):648-661.

PMID: 38993258 PMC: 11236373. DOI: 10.14740/wjon1838.

Development of a thyroid cancer prognostic model based on the mitophagy-associated differentially expressed genes.

Sun W, Wang X, Li G, Ding C, Wang Y, Su Z Discov Oncol. 2023; 14(1):173.

PMID: 37707688 PMC: 10501032. DOI: 10.1007/s12672-023-00772-6.

Construction and validation of a PANoptosis-related lncRNA signature for predicting prognosis and targeted drug response in thyroid cancer.

Li R, Zhao M, Sun M, Miao C, Lu J PeerJ. 2023; 11:e15884.

PMID: 37671354 PMC: 10476615. DOI: 10.7717/peerj.15884.

A novel oxidative-stress related lncRNA signature predicts the prognosis of clear cell renal cell carcinoma.

Zhang Y, Zhou G, Shi W, Shi W, Hu M, Kong D Sci Rep. 2023; 13(1):5740.

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