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The Construction and Analysis of ceRNA Network and Patterns of Immune Infiltration in Colon Adenocarcinoma Metastasis

BACKGROUND: Colon adenocarcinoma (COAD) is a malignant and lethal tumor in digestive system and distance metastasis lead to poor prognosis. The metastasis-specific ceRNAs (competitive endogenous RNAs) and tumor-infiltrating immune cells might associate with tumor prognosis and distance metastasis. N...

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Autores principales: Chang, Zhengyan, Huang, Runzhi, Fu, Wanting, Li, Jiehan, Ji, Guo, Huang, Jinglei, Shi, Weijun, Yin, Huabin, Wang, Weifeng, Meng, Tong, Huang, Zongqiang, Wei, Qing, Qin, Huanlong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7417319/
https://www.ncbi.nlm.nih.gov/pubmed/32850813
http://dx.doi.org/10.3389/fcell.2020.00688
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author Chang, Zhengyan
Huang, Runzhi
Fu, Wanting
Li, Jiehan
Ji, Guo
Huang, Jinglei
Shi, Weijun
Yin, Huabin
Wang, Weifeng
Meng, Tong
Huang, Zongqiang
Wei, Qing
Qin, Huanlong
author_facet Chang, Zhengyan
Huang, Runzhi
Fu, Wanting
Li, Jiehan
Ji, Guo
Huang, Jinglei
Shi, Weijun
Yin, Huabin
Wang, Weifeng
Meng, Tong
Huang, Zongqiang
Wei, Qing
Qin, Huanlong
author_sort Chang, Zhengyan
collection PubMed
description BACKGROUND: Colon adenocarcinoma (COAD) is a malignant and lethal tumor in digestive system and distance metastasis lead to poor prognosis. The metastasis-specific ceRNAs (competitive endogenous RNAs) and tumor-infiltrating immune cells might associate with tumor prognosis and distance metastasis. Nonetheless, few studies have concentrated on ceRNAs and Immune cells in COAD. METHODS: The gene expression profile and clinical information of COAD were downloaded from TCGA and divided into two groups: primary tumors with or without distance metastasis. We applied comprehensive bioinformatics methods to analyze differential expression genes (DEGs) related to metastasis and establish the ceRNA networks. The Cox analysis and Lasso regression were utilized to screen the pivotal genes and prevent overfitting. Based on them, the prognosis prediction nomograms were established. The cell type identification by estimating relative subsets of RNA transcripts (CIBERSORT) algorithm was then applied to screen significant tumor immune-infiltrating cells associated with COAD metastasis and established another prognosis prediction model. Ultimately, co-expression analysis was applied to explore the relationship between key genes in ceRNA networks and significant immune cells. Multiple databases and preliminary clinical specimen validation were used to test the expressions of key biomarkers at the cellular and tissue levels. RESULTS: We explored 1 significantly differentially expressed lncRNA, 1 significantly differentially expressed miRNA, 8 survival-related immune-infiltrating cells, 5 immune cells associated with distance metastasis. Besides, 3 pairs of important biomarkers associated with COAD metastasis were also identified: T cells follicular helper and hsa-miR-125b-5p (R = −0.200, P < 0.001), Macrophages M0 and hsa-miR-125b-5p (R = 0.170, P < 0.001) and Macrophages M0 and FAS (R = −0.370, P < 0.001). Multidimensional validation and preliminary clinical specimen validation also supported the results. CONCLUSION: In this research, we found some significant ceRNAs (FAS and hsa-miR-125b-5p) and tumor-infiltrating immune cells (T cells follicular helper and Macrophages M0) might related to distance metastasis and prognosis of COAD. The nomograms could assist scientific and medical researchers in clinical management.
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spelling pubmed-74173192020-08-25 The Construction and Analysis of ceRNA Network and Patterns of Immune Infiltration in Colon Adenocarcinoma Metastasis Chang, Zhengyan Huang, Runzhi Fu, Wanting Li, Jiehan Ji, Guo Huang, Jinglei Shi, Weijun Yin, Huabin Wang, Weifeng Meng, Tong Huang, Zongqiang Wei, Qing Qin, Huanlong Front Cell Dev Biol Cell and Developmental Biology BACKGROUND: Colon adenocarcinoma (COAD) is a malignant and lethal tumor in digestive system and distance metastasis lead to poor prognosis. The metastasis-specific ceRNAs (competitive endogenous RNAs) and tumor-infiltrating immune cells might associate with tumor prognosis and distance metastasis. Nonetheless, few studies have concentrated on ceRNAs and Immune cells in COAD. METHODS: The gene expression profile and clinical information of COAD were downloaded from TCGA and divided into two groups: primary tumors with or without distance metastasis. We applied comprehensive bioinformatics methods to analyze differential expression genes (DEGs) related to metastasis and establish the ceRNA networks. The Cox analysis and Lasso regression were utilized to screen the pivotal genes and prevent overfitting. Based on them, the prognosis prediction nomograms were established. The cell type identification by estimating relative subsets of RNA transcripts (CIBERSORT) algorithm was then applied to screen significant tumor immune-infiltrating cells associated with COAD metastasis and established another prognosis prediction model. Ultimately, co-expression analysis was applied to explore the relationship between key genes in ceRNA networks and significant immune cells. Multiple databases and preliminary clinical specimen validation were used to test the expressions of key biomarkers at the cellular and tissue levels. RESULTS: We explored 1 significantly differentially expressed lncRNA, 1 significantly differentially expressed miRNA, 8 survival-related immune-infiltrating cells, 5 immune cells associated with distance metastasis. Besides, 3 pairs of important biomarkers associated with COAD metastasis were also identified: T cells follicular helper and hsa-miR-125b-5p (R = −0.200, P < 0.001), Macrophages M0 and hsa-miR-125b-5p (R = 0.170, P < 0.001) and Macrophages M0 and FAS (R = −0.370, P < 0.001). Multidimensional validation and preliminary clinical specimen validation also supported the results. CONCLUSION: In this research, we found some significant ceRNAs (FAS and hsa-miR-125b-5p) and tumor-infiltrating immune cells (T cells follicular helper and Macrophages M0) might related to distance metastasis and prognosis of COAD. The nomograms could assist scientific and medical researchers in clinical management. Frontiers Media S.A. 2020-08-04 /pmc/articles/PMC7417319/ /pubmed/32850813 http://dx.doi.org/10.3389/fcell.2020.00688 Text en Copyright © 2020 Chang, Huang, Fu, Li, Ji, Huang, Shi, Yin, Wang, Meng, Huang, Wei and Qin. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Cell and Developmental Biology
Chang, Zhengyan
Huang, Runzhi
Fu, Wanting
Li, Jiehan
Ji, Guo
Huang, Jinglei
Shi, Weijun
Yin, Huabin
Wang, Weifeng
Meng, Tong
Huang, Zongqiang
Wei, Qing
Qin, Huanlong
The Construction and Analysis of ceRNA Network and Patterns of Immune Infiltration in Colon Adenocarcinoma Metastasis
title The Construction and Analysis of ceRNA Network and Patterns of Immune Infiltration in Colon Adenocarcinoma Metastasis
title_full The Construction and Analysis of ceRNA Network and Patterns of Immune Infiltration in Colon Adenocarcinoma Metastasis
title_fullStr The Construction and Analysis of ceRNA Network and Patterns of Immune Infiltration in Colon Adenocarcinoma Metastasis
title_full_unstemmed The Construction and Analysis of ceRNA Network and Patterns of Immune Infiltration in Colon Adenocarcinoma Metastasis
title_short The Construction and Analysis of ceRNA Network and Patterns of Immune Infiltration in Colon Adenocarcinoma Metastasis
title_sort construction and analysis of cerna network and patterns of immune infiltration in colon adenocarcinoma metastasis
topic Cell and Developmental Biology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7417319/
https://www.ncbi.nlm.nih.gov/pubmed/32850813
http://dx.doi.org/10.3389/fcell.2020.00688
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