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Identification of autophagy-related long non-coding RNA prognostic and immune signature for clear cell renal cell carcinoma

BACKGROUND: Studies over the past decade have shown that long non-coding RNAs (lncRNAs) play an essential role in the tumorigenesis and progression of kidney renal clear cell carcinoma (KIRC). Meanwhile, autophagy has been demonstrated to regulate KIRC pathogenesis and targeting therapy resistance....

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Autores principales: Cui, Yankang, Zhang, Shaobo, Miao, Chenkui, Liang, Chao, Chen, Xiaochao, Yan, Tao, Bu, Hengtao, Dong, Huiyu, Li, Junchen, Li, Jie, Wang, Zengjun, Liu, Bianjiang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: AME Publishing Company 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8421821/
https://www.ncbi.nlm.nih.gov/pubmed/34532256
http://dx.doi.org/10.21037/tau-21-278
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author Cui, Yankang
Zhang, Shaobo
Miao, Chenkui
Liang, Chao
Chen, Xiaochao
Yan, Tao
Bu, Hengtao
Dong, Huiyu
Li, Junchen
Li, Jie
Wang, Zengjun
Liu, Bianjiang
author_facet Cui, Yankang
Zhang, Shaobo
Miao, Chenkui
Liang, Chao
Chen, Xiaochao
Yan, Tao
Bu, Hengtao
Dong, Huiyu
Li, Junchen
Li, Jie
Wang, Zengjun
Liu, Bianjiang
author_sort Cui, Yankang
collection PubMed
description BACKGROUND: Studies over the past decade have shown that long non-coding RNAs (lncRNAs) play an essential role in the tumorigenesis and progression of kidney renal clear cell carcinoma (KIRC). Meanwhile, autophagy has been demonstrated to regulate KIRC pathogenesis and targeting therapy resistance. However, the prognostic value of autophagy-related lncRNAs in KIRC patients has not been reported before. METHODS: In this study, we obtained transcriptome data of 611 KIRC cases from the TCGA database and 258 autophagy-related mRNAs from the HADb database to identify autophagy-related lncRNAs by co-expression network. A prognostic model was then established basing on these autophagy-related lncRNAs, dividing patients into high-risk and low-risk groups. Survival analysis, clinical variables dependent receiver operating characteristic (ROC) analyses, univariate/multivariate Cox analyses, and clinical correlation analysis were performed based on risk signature with R language. Gene set enrichment analysis (GSEA) was then performed to investigate the potential mechanism of the risk signature promoting KIRC progression with GSEA software. CIBERSORT algorithm was performed to assess the impact of these lncRNAs on the infiltration of immune cells. RESULTS: A total of 17 lncRNAs were screened out and all these lncRNAs were found significantly related to KIRC patients’ overall survival in subsequent survival analyses. Besides, the overall survival time in the high-risk group was much poorer than in the low-risk group. The ROC analysis revealed that the prognostic value of risk signature was better than age, gender, grade, and N stage. Univariate/multivariate analyses suggested that the risk signature was an independent predictive factor for KIRC patients. Immune and autophagy related pathways were dramatically enriched in high-risk and low-risk groups, respectively, and lncRNAs related immune cells were identified by CIBERSORT. CONCLUSIONS: In summary, our identified 17 autophagy-related lncRNAs had prognostic value for KIRC patients which may function in immunomodulation.
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spelling pubmed-84218212021-09-15 Identification of autophagy-related long non-coding RNA prognostic and immune signature for clear cell renal cell carcinoma Cui, Yankang Zhang, Shaobo Miao, Chenkui Liang, Chao Chen, Xiaochao Yan, Tao Bu, Hengtao Dong, Huiyu Li, Junchen Li, Jie Wang, Zengjun Liu, Bianjiang Transl Androl Urol Original Article BACKGROUND: Studies over the past decade have shown that long non-coding RNAs (lncRNAs) play an essential role in the tumorigenesis and progression of kidney renal clear cell carcinoma (KIRC). Meanwhile, autophagy has been demonstrated to regulate KIRC pathogenesis and targeting therapy resistance. However, the prognostic value of autophagy-related lncRNAs in KIRC patients has not been reported before. METHODS: In this study, we obtained transcriptome data of 611 KIRC cases from the TCGA database and 258 autophagy-related mRNAs from the HADb database to identify autophagy-related lncRNAs by co-expression network. A prognostic model was then established basing on these autophagy-related lncRNAs, dividing patients into high-risk and low-risk groups. Survival analysis, clinical variables dependent receiver operating characteristic (ROC) analyses, univariate/multivariate Cox analyses, and clinical correlation analysis were performed based on risk signature with R language. Gene set enrichment analysis (GSEA) was then performed to investigate the potential mechanism of the risk signature promoting KIRC progression with GSEA software. CIBERSORT algorithm was performed to assess the impact of these lncRNAs on the infiltration of immune cells. RESULTS: A total of 17 lncRNAs were screened out and all these lncRNAs were found significantly related to KIRC patients’ overall survival in subsequent survival analyses. Besides, the overall survival time in the high-risk group was much poorer than in the low-risk group. The ROC analysis revealed that the prognostic value of risk signature was better than age, gender, grade, and N stage. Univariate/multivariate analyses suggested that the risk signature was an independent predictive factor for KIRC patients. Immune and autophagy related pathways were dramatically enriched in high-risk and low-risk groups, respectively, and lncRNAs related immune cells were identified by CIBERSORT. CONCLUSIONS: In summary, our identified 17 autophagy-related lncRNAs had prognostic value for KIRC patients which may function in immunomodulation. AME Publishing Company 2021-08 /pmc/articles/PMC8421821/ /pubmed/34532256 http://dx.doi.org/10.21037/tau-21-278 Text en 2021 Translational Andrology and Urology. All rights reserved. https://creativecommons.org/licenses/by-nc-nd/4.0/Open Access Statement: This is an Open Access article distributed in accordance with the Creative Commons Attribution-NonCommercial-NoDerivs 4.0 International License (CC BY-NC-ND 4.0), which permits the non-commercial replication and distribution of the article with the strict proviso that no changes or edits are made and the original work is properly cited (including links to both the formal publication through the relevant DOI and the license). See: https://creativecommons.org/licenses/by-nc-nd/4.0 (https://creativecommons.org/licenses/by-nc-nd/4.0/) .
spellingShingle Original Article
Cui, Yankang
Zhang, Shaobo
Miao, Chenkui
Liang, Chao
Chen, Xiaochao
Yan, Tao
Bu, Hengtao
Dong, Huiyu
Li, Junchen
Li, Jie
Wang, Zengjun
Liu, Bianjiang
Identification of autophagy-related long non-coding RNA prognostic and immune signature for clear cell renal cell carcinoma
title Identification of autophagy-related long non-coding RNA prognostic and immune signature for clear cell renal cell carcinoma
title_full Identification of autophagy-related long non-coding RNA prognostic and immune signature for clear cell renal cell carcinoma
title_fullStr Identification of autophagy-related long non-coding RNA prognostic and immune signature for clear cell renal cell carcinoma
title_full_unstemmed Identification of autophagy-related long non-coding RNA prognostic and immune signature for clear cell renal cell carcinoma
title_short Identification of autophagy-related long non-coding RNA prognostic and immune signature for clear cell renal cell carcinoma
title_sort identification of autophagy-related long non-coding rna prognostic and immune signature for clear cell renal cell carcinoma
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8421821/
https://www.ncbi.nlm.nih.gov/pubmed/34532256
http://dx.doi.org/10.21037/tau-21-278
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