Yanan Shan1,2, Ran He1,2, Xiaowei Yang1,2, Siwen Zang1,2, Shan Yao1,2, Min Gao1,2, Sixuan Li1,2, Zhihua Yin3,4,5. 1. China Medical University, Shenyang, 110122, China. 2. Department of Epidemiology, School of Public Health, China Medical University, Shenyang, 110122, China. 3. China Medical University, Shenyang, 110122, China. zhyin@cmu.edu.cn. 4. Department of Epidemiology, School of Public Health, China Medical University, Shenyang, 110122, China. zhyin@cmu.edu.cn. 5. Key Laboratory of Cancer Etiology and Intervention, University of Liaoning Province, No.77 Puhe Road, Shenyang North New Area, Shenyang, 110122, China. zhyin@cmu.edu.cn.
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.
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.
Authors: Sabine Siesling; Jan Maarten van der Zwan; Isabel Izarzugaza; Jana Jaal; Tom Treasure; Roberto Foschi; Umberto Ricardi; Harry Groen; Andrea Tavilla; Eva Ardanaz Journal: Eur J Cancer Date: 2012-03-09 Impact factor: 9.162
Authors: Christopher Hine; Hyo-Jeong Kim; Yan Zhu; Eylul Harputlugil; Alban Longchamp; Marina Souza Matos; Preeti Ramadoss; Kevin Bauerle; Lear Brace; John M Asara; C Keith Ozaki; Sheue-Yann Cheng; Subhankar Singha; Kyo Han Ahn; Alec Kimmelman; Ffolliott M Fisher; Pavlos Pissios; Dominic J Withers; Colin Selman; Rui Wang; Kelvin Yen; Valter D Longo; Pinchas Cohen; Andrzej Bartke; John J Kopchick; Richard Miller; Anthony N Hollenberg; James R Mitchell Journal: Cell Metab Date: 2017-06-06 Impact factor: 27.287