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Identification of m6A‐related lncRNAs as prognostic signature within colon tumor immune microenvironment

BACKGROUND: The current study probed prognosis‐related potential for m6A‐related lncRNAs signatures within colon tumor immune microenvironment (TIM). METHODS: After downloading transcriptomic datasets for colon cancer (CC) patients from The Cancer Genome Atlas (TCGA), they were divided, in a 1:1 rat...

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Autores principales: Cao, Lichao, Zhang, Shenrui, Ba, Ying, Zhang, Hezi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10242659/
https://www.ncbi.nlm.nih.gov/pubmed/37178411
http://dx.doi.org/10.1002/cnr2.1828
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author Cao, Lichao
Zhang, Shenrui
Ba, Ying
Zhang, Hezi
author_facet Cao, Lichao
Zhang, Shenrui
Ba, Ying
Zhang, Hezi
author_sort Cao, Lichao
collection PubMed
description BACKGROUND: The current study probed prognosis‐related potential for m6A‐related lncRNAs signatures within colon tumor immune microenvironment (TIM). METHODS: After downloading transcriptomic datasets for colon cancer (CC) patients from The Cancer Genome Atlas (TCGA), they were divided, in a 1:1 ratio, within training or test datasets. m6A‐related lncRNAs were then scrutinized across such dataset using Pearson correlation assessment before generating a m6A‐related lncRNAs prognosis‐related model using the training dataset. The latter was then validated with the test and the whole dataset. In addition, we compared the differences of TIM and the estimated IC50 of drug response between the high‐ and low‐risk groups. RESULTS: Overall survival (OS) resulted as linked with 11 m6A‐related lncRNAs, while within the developed prognosis‐related model, areas‐under‐curves were as follows: within training dataset, values at 3‐, 4‐, and 5‐years were 0.777, 0.819, and 0.805, accordingly, and for test one, they were 0.697, 0.682, and 0.706, respectively. Finally, the values for the whole dataset were 0.675 (3‐year), 0.682 (4‐years), and 0.679 (5‐years), accordingly. Moreover, CC cases categorized within low‐risk cohort demonstrated enhanced OS (p < .0001), lower metastasis (p = 2e‐06) and lower T stage (p = .0067), more instability for microsatellite status (p = .012), and downregulation for PD‐L1, PD‐1, CTLA‐4, LAG3, and HAVCR2 (p < .05). In addition, risk scorings were significantly linked to the degree of infiltrative intensity for CD8 and CD4 (memory resting) T‐cells, T‐regulatory (Tregs), and Mast cells triggering (p < .05). Patients with low infiltrative propensity for CD4 T‐cells also had better OS (p = .016). Moreover, six representative drugs were found to be sensitive for treating CC patients. CONCLUSION: A robust m6A‐related prognostic model with great performances was developed before exploring the TIM characteristics and its potential therapeutic drugs, which might improve the prognosis and therapeutic efficacy.
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spelling pubmed-102426592023-06-07 Identification of m6A‐related lncRNAs as prognostic signature within colon tumor immune microenvironment Cao, Lichao Zhang, Shenrui Ba, Ying Zhang, Hezi Cancer Rep (Hoboken) Original Articles BACKGROUND: The current study probed prognosis‐related potential for m6A‐related lncRNAs signatures within colon tumor immune microenvironment (TIM). METHODS: After downloading transcriptomic datasets for colon cancer (CC) patients from The Cancer Genome Atlas (TCGA), they were divided, in a 1:1 ratio, within training or test datasets. m6A‐related lncRNAs were then scrutinized across such dataset using Pearson correlation assessment before generating a m6A‐related lncRNAs prognosis‐related model using the training dataset. The latter was then validated with the test and the whole dataset. In addition, we compared the differences of TIM and the estimated IC50 of drug response between the high‐ and low‐risk groups. RESULTS: Overall survival (OS) resulted as linked with 11 m6A‐related lncRNAs, while within the developed prognosis‐related model, areas‐under‐curves were as follows: within training dataset, values at 3‐, 4‐, and 5‐years were 0.777, 0.819, and 0.805, accordingly, and for test one, they were 0.697, 0.682, and 0.706, respectively. Finally, the values for the whole dataset were 0.675 (3‐year), 0.682 (4‐years), and 0.679 (5‐years), accordingly. Moreover, CC cases categorized within low‐risk cohort demonstrated enhanced OS (p < .0001), lower metastasis (p = 2e‐06) and lower T stage (p = .0067), more instability for microsatellite status (p = .012), and downregulation for PD‐L1, PD‐1, CTLA‐4, LAG3, and HAVCR2 (p < .05). In addition, risk scorings were significantly linked to the degree of infiltrative intensity for CD8 and CD4 (memory resting) T‐cells, T‐regulatory (Tregs), and Mast cells triggering (p < .05). Patients with low infiltrative propensity for CD4 T‐cells also had better OS (p = .016). Moreover, six representative drugs were found to be sensitive for treating CC patients. CONCLUSION: A robust m6A‐related prognostic model with great performances was developed before exploring the TIM characteristics and its potential therapeutic drugs, which might improve the prognosis and therapeutic efficacy. John Wiley and Sons Inc. 2023-05-13 /pmc/articles/PMC10242659/ /pubmed/37178411 http://dx.doi.org/10.1002/cnr2.1828 Text en © 2023 The Authors. Cancer Reports published by Wiley Periodicals LLC. https://creativecommons.org/licenses/by/4.0/This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.
spellingShingle Original Articles
Cao, Lichao
Zhang, Shenrui
Ba, Ying
Zhang, Hezi
Identification of m6A‐related lncRNAs as prognostic signature within colon tumor immune microenvironment
title Identification of m6A‐related lncRNAs as prognostic signature within colon tumor immune microenvironment
title_full Identification of m6A‐related lncRNAs as prognostic signature within colon tumor immune microenvironment
title_fullStr Identification of m6A‐related lncRNAs as prognostic signature within colon tumor immune microenvironment
title_full_unstemmed Identification of m6A‐related lncRNAs as prognostic signature within colon tumor immune microenvironment
title_short Identification of m6A‐related lncRNAs as prognostic signature within colon tumor immune microenvironment
title_sort identification of m6a‐related lncrnas as prognostic signature within colon tumor immune microenvironment
topic Original Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10242659/
https://www.ncbi.nlm.nih.gov/pubmed/37178411
http://dx.doi.org/10.1002/cnr2.1828
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