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Long Non-Coding RNA Signatures Associated with Ferroptosis Predict Prognosis in Colorectal Cancer

BACKGROUND: Currently, colorectal cancer has become a common gastrointestinal malignancy that usually occurs in the colon and rectum, and ferroptosis plays a vital role in the pathology and progression of colorectal tumors. METHODS: A total of 627 patients (51 normal and 644 tumor samples) from The...

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Autores principales: Li, Na, Shen, Jiangli, Qiao, Ximin, Gao, Yuan, Su, Hong-Bo, Zhang, Shuai
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Dove 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8742603/
https://www.ncbi.nlm.nih.gov/pubmed/35018112
http://dx.doi.org/10.2147/IJGM.S331378
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author Li, Na
Shen, Jiangli
Qiao, Ximin
Gao, Yuan
Su, Hong-Bo
Zhang, Shuai
author_facet Li, Na
Shen, Jiangli
Qiao, Ximin
Gao, Yuan
Su, Hong-Bo
Zhang, Shuai
author_sort Li, Na
collection PubMed
description BACKGROUND: Currently, colorectal cancer has become a common gastrointestinal malignancy that usually occurs in the colon and rectum, and ferroptosis plays a vital role in the pathology and progression of colorectal tumors. METHODS: A total of 627 patients (51 normal and 644 tumor samples) from The Cancer Genome Atlas (TCGA)-COAD and TCGA-READ were included in the study. Lasso and Cox’s regression was employed to analyze the characteristic lncRNAs in colorectal cancer samples, and a distinctive prognostic model of ferroptosis-related lncRNAs was established. By analyzing the divergence between the high and low-risk groups of ferroptosis-related lncRNAs, 15 characteristic lncRNAs related to the prognosis of colorectal cancer were evaluated. Kaplan–Meier analysis, operation characteristic curve (ROC), nomogram, and gene set enrichment analyses (GSEA) further confirmed the validity of the characteristic prognostic model with ferroptosis-related lncRNAs. RESULTS: Kaplan–Meier analysis confirmed a high-risk group of ferroptosis-related lncRNA interrelated with a poor prognosis in colorectal cancer. AUC estimates of 1 -, 3 -, and 5-year survival rates for ferroptosis-related lncRNA characteristic models were 0.745, 0.767 and 0.789. GSEA analysis showed that immune and malignancy-related pathways were active in the high-risk score group. In addition, differential analyses of immune function, including Checkpoint, cytolytic, HLA, and T cell co-inhibition, differed significantly betwixt low - and high-risk groups.CD160, TNFRSF18, CD27, PDCD1, CD200R1, ADORA2A, TNFRSF14, LAIR1, CD244, CD40, TNFRSF4, CD70, TNFSF14, TNFRSF25, CD276, HHLA2, VTCN1, LAG3, TNFSF18, and other immune checkpoints had different expressions betwixt the high- and low-risk group. CONCLUSION: Fifteen kinds of lncRNAs with different expressions (AP003555.1, AC099850.3, AL031985.3, LINC01857, STPG3-AS1, AL137782.1, AC124067.4, AC012313.5, AC083900.1, AC010973.2, ALMS1-IT1, AC013652.1, AC133540.1, AP006621.2, AC018653.3) were closely associated with poor prognosis of colorectal cancer. These indicators were significantly correlated with the overall survival (OS) rate and could be used as prognostic evaluation criteria.
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spelling pubmed-87426032022-01-10 Long Non-Coding RNA Signatures Associated with Ferroptosis Predict Prognosis in Colorectal Cancer Li, Na Shen, Jiangli Qiao, Ximin Gao, Yuan Su, Hong-Bo Zhang, Shuai Int J Gen Med Original Research BACKGROUND: Currently, colorectal cancer has become a common gastrointestinal malignancy that usually occurs in the colon and rectum, and ferroptosis plays a vital role in the pathology and progression of colorectal tumors. METHODS: A total of 627 patients (51 normal and 644 tumor samples) from The Cancer Genome Atlas (TCGA)-COAD and TCGA-READ were included in the study. Lasso and Cox’s regression was employed to analyze the characteristic lncRNAs in colorectal cancer samples, and a distinctive prognostic model of ferroptosis-related lncRNAs was established. By analyzing the divergence between the high and low-risk groups of ferroptosis-related lncRNAs, 15 characteristic lncRNAs related to the prognosis of colorectal cancer were evaluated. Kaplan–Meier analysis, operation characteristic curve (ROC), nomogram, and gene set enrichment analyses (GSEA) further confirmed the validity of the characteristic prognostic model with ferroptosis-related lncRNAs. RESULTS: Kaplan–Meier analysis confirmed a high-risk group of ferroptosis-related lncRNA interrelated with a poor prognosis in colorectal cancer. AUC estimates of 1 -, 3 -, and 5-year survival rates for ferroptosis-related lncRNA characteristic models were 0.745, 0.767 and 0.789. GSEA analysis showed that immune and malignancy-related pathways were active in the high-risk score group. In addition, differential analyses of immune function, including Checkpoint, cytolytic, HLA, and T cell co-inhibition, differed significantly betwixt low - and high-risk groups.CD160, TNFRSF18, CD27, PDCD1, CD200R1, ADORA2A, TNFRSF14, LAIR1, CD244, CD40, TNFRSF4, CD70, TNFSF14, TNFRSF25, CD276, HHLA2, VTCN1, LAG3, TNFSF18, and other immune checkpoints had different expressions betwixt the high- and low-risk group. CONCLUSION: Fifteen kinds of lncRNAs with different expressions (AP003555.1, AC099850.3, AL031985.3, LINC01857, STPG3-AS1, AL137782.1, AC124067.4, AC012313.5, AC083900.1, AC010973.2, ALMS1-IT1, AC013652.1, AC133540.1, AP006621.2, AC018653.3) were closely associated with poor prognosis of colorectal cancer. These indicators were significantly correlated with the overall survival (OS) rate and could be used as prognostic evaluation criteria. Dove 2022-01-04 /pmc/articles/PMC8742603/ /pubmed/35018112 http://dx.doi.org/10.2147/IJGM.S331378 Text en © 2022 Li et al. https://creativecommons.org/licenses/by-nc/3.0/This work is published and licensed by Dove Medical Press Limited. The full terms of this license are available at https://www.dovepress.com/terms.php and incorporate the Creative Commons Attribution – Non Commercial (unported, v3.0) License (http://creativecommons.org/licenses/by-nc/3.0/ (https://creativecommons.org/licenses/by-nc/3.0/) ). By accessing the work you hereby accept the Terms. Non-commercial uses of the work are permitted without any further permission from Dove Medical Press Limited, provided the work is properly attributed. For permission for commercial use of this work, please see paragraphs 4.2 and 5 of our Terms (https://www.dovepress.com/terms.php).
spellingShingle Original Research
Li, Na
Shen, Jiangli
Qiao, Ximin
Gao, Yuan
Su, Hong-Bo
Zhang, Shuai
Long Non-Coding RNA Signatures Associated with Ferroptosis Predict Prognosis in Colorectal Cancer
title Long Non-Coding RNA Signatures Associated with Ferroptosis Predict Prognosis in Colorectal Cancer
title_full Long Non-Coding RNA Signatures Associated with Ferroptosis Predict Prognosis in Colorectal Cancer
title_fullStr Long Non-Coding RNA Signatures Associated with Ferroptosis Predict Prognosis in Colorectal Cancer
title_full_unstemmed Long Non-Coding RNA Signatures Associated with Ferroptosis Predict Prognosis in Colorectal Cancer
title_short Long Non-Coding RNA Signatures Associated with Ferroptosis Predict Prognosis in Colorectal Cancer
title_sort long non-coding rna signatures associated with ferroptosis predict prognosis in colorectal cancer
topic Original Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8742603/
https://www.ncbi.nlm.nih.gov/pubmed/35018112
http://dx.doi.org/10.2147/IJGM.S331378
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