The Effects of Autophagy-Related Genes and lncRNAs in Therapy and Prognosis of Colorectal Cancer

Cellular autophagy plays an important role in the occurrence and development of colorectal cancer (CRC). Whether autophagy-related genes and lncRNAs can be used as ideal markers in CRC is still controversial. The purpose of this study is to identify novel treatment and prognosis markers of CRC. We d...

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Main Authors: Yang Yang, Mingyang Feng, LiangLiang Bai, Mengxi Zhang, Kexun Zhou, Weiting Liao, Wanting Lei, Nan Zhang, Jiaxing Huang, Qiu Li
Format: Article
Language:English
Published: Frontiers Media S.A. 2021-03-01
Series:Frontiers in Oncology
Subjects:
Online Access:https://www.frontiersin.org/articles/10.3389/fonc.2021.582040/full
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language English
format Article
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author Yang Yang
Yang Yang
Mingyang Feng
Mingyang Feng
LiangLiang Bai
LiangLiang Bai
Mengxi Zhang
Mengxi Zhang
Kexun Zhou
Kexun Zhou
Weiting Liao
Weiting Liao
Wanting Lei
Wanting Lei
Nan Zhang
Nan Zhang
Jiaxing Huang
Jiaxing Huang
Qiu Li
Qiu Li
spellingShingle Yang Yang
Yang Yang
Mingyang Feng
Mingyang Feng
LiangLiang Bai
LiangLiang Bai
Mengxi Zhang
Mengxi Zhang
Kexun Zhou
Kexun Zhou
Weiting Liao
Weiting Liao
Wanting Lei
Wanting Lei
Nan Zhang
Nan Zhang
Jiaxing Huang
Jiaxing Huang
Qiu Li
Qiu Li
The Effects of Autophagy-Related Genes and lncRNAs in Therapy and Prognosis of Colorectal Cancer
Frontiers in Oncology
colorectal cancer
autophagy
gene
lncRNA
prognosis
immune
author_facet Yang Yang
Yang Yang
Mingyang Feng
Mingyang Feng
LiangLiang Bai
LiangLiang Bai
Mengxi Zhang
Mengxi Zhang
Kexun Zhou
Kexun Zhou
Weiting Liao
Weiting Liao
Wanting Lei
Wanting Lei
Nan Zhang
Nan Zhang
Jiaxing Huang
Jiaxing Huang
Qiu Li
Qiu Li
author_sort Yang Yang
title The Effects of Autophagy-Related Genes and lncRNAs in Therapy and Prognosis of Colorectal Cancer
title_short The Effects of Autophagy-Related Genes and lncRNAs in Therapy and Prognosis of Colorectal Cancer
title_full The Effects of Autophagy-Related Genes and lncRNAs in Therapy and Prognosis of Colorectal Cancer
title_fullStr The Effects of Autophagy-Related Genes and lncRNAs in Therapy and Prognosis of Colorectal Cancer
title_full_unstemmed The Effects of Autophagy-Related Genes and lncRNAs in Therapy and Prognosis of Colorectal Cancer
title_sort effects of autophagy-related genes and lncrnas in therapy and prognosis of colorectal cancer
publisher Frontiers Media S.A.
series Frontiers in Oncology
issn 2234-943X
publishDate 2021-03-01
description Cellular autophagy plays an important role in the occurrence and development of colorectal cancer (CRC). Whether autophagy-related genes and lncRNAs can be used as ideal markers in CRC is still controversial. The purpose of this study is to identify novel treatment and prognosis markers of CRC. We downloaded transcription and clinical data of CRC from the GEO (GSE40967, GSE12954, GSE17536) and TCGA database, screened for differentially autophagy-related genes (DEAGs) and lncRNAs, constructed prognostic model, and analyzed its relationship with immune infiltration. TCGA and GEO datasets (GSE12954 and GSE17536) were used to validate the effect of the model. Oncomine database and Human Protein Atlas verified the expression of DEAGs. We obtained a total of 151 DEAGs in three verification sets collaboratively. Then we constructed a risk prognostic model through Lasso regression to obtain 15 prognostic DEAGs from the training set and verified the risk prognostic model in three verification sets. The low-risk group survived longer than the high-risk group. Age, gender, pathological stage, and TNM stage were related to the prognostic risk of CRC. On the other hand, BRAF status, RFS event, and tumor location are considered as most significant risk factors of CRC in the training set. Furthermore, we found that the immune score of the low-risk group was higher. The content of CD8 + T cells, active NK cells, macrophages M0, macrophages M1, and active dendritic cells was noted more in the high-risk group. The content of plasma cells, resting memory CD4 + T cells, resting NK cells, resting mast cells, and neutrophil cells was higher in the low-risk group. After all, the Oncomine database and immunohistochemistry verified that the expression level of most key autophagy-related genes was consistent with the results that we found. In addition, we obtained six lncRNAs co-expressed with DEAGs from the training set and found that the survival time was longer in the low-risk group. This finding was verified in the verification set and showed same trend to the results mentioned above. In the final analysis, these results indicate that autophagy-related genes and lncRNAs can be used as prognostic and therapeutic markers for CRC.
topic colorectal cancer
autophagy
gene
lncRNA
prognosis
immune
url https://www.frontiersin.org/articles/10.3389/fonc.2021.582040/full
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spelling doaj-008f7ddcb0eb444286808f3d67b824962021-03-11T07:48:23ZengFrontiers Media S.A.Frontiers in Oncology2234-943X2021-03-011110.3389/fonc.2021.582040582040The Effects of Autophagy-Related Genes and lncRNAs in Therapy and Prognosis of Colorectal CancerYang Yang0Yang Yang1Mingyang Feng2Mingyang Feng3LiangLiang Bai4LiangLiang Bai5Mengxi Zhang6Mengxi Zhang7Kexun Zhou8Kexun Zhou9Weiting Liao10Weiting Liao11Wanting Lei12Wanting Lei13Nan Zhang14Nan Zhang15Jiaxing Huang16Jiaxing Huang17Qiu Li18Qiu Li19Department of Medical Oncology, Cancer Center, West China Hospital, Sichuan University, Sichuan, ChinaWest China Biomedical Big Data Center, Sichuan University, Sichuan, ChinaDepartment of Medical Oncology, Cancer Center, West China Hospital, Sichuan University, Sichuan, ChinaWest China Biomedical Big Data Center, Sichuan University, Sichuan, ChinaDepartment of Medical Oncology, Cancer Center, West China Hospital, Sichuan University, Sichuan, ChinaWest China Biomedical Big Data Center, Sichuan University, Sichuan, ChinaDepartment of Medical Oncology, Cancer Center, West China Hospital, Sichuan University, Sichuan, ChinaWest China Biomedical Big Data Center, Sichuan University, Sichuan, ChinaDepartment of Medical Oncology, Cancer Center, West China Hospital, Sichuan University, Sichuan, ChinaWest China Biomedical Big Data Center, Sichuan University, Sichuan, ChinaDepartment of Medical Oncology, Cancer Center, West China Hospital, Sichuan University, Sichuan, ChinaWest China Biomedical Big Data Center, Sichuan University, Sichuan, ChinaDepartment of Medical Oncology, Cancer Center, West China Hospital, Sichuan University, Sichuan, ChinaWest China Biomedical Big Data Center, Sichuan University, Sichuan, ChinaDepartment of Medical Oncology, Cancer Center, West China Hospital, Sichuan University, Sichuan, ChinaWest China Biomedical Big Data Center, Sichuan University, Sichuan, ChinaDepartment of Medical Oncology, Cancer Center, West China Hospital, Sichuan University, Sichuan, ChinaWest China Biomedical Big Data Center, Sichuan University, Sichuan, ChinaDepartment of Medical Oncology, Cancer Center, West China Hospital, Sichuan University, Sichuan, ChinaWest China Biomedical Big Data Center, Sichuan University, Sichuan, ChinaCellular autophagy plays an important role in the occurrence and development of colorectal cancer (CRC). Whether autophagy-related genes and lncRNAs can be used as ideal markers in CRC is still controversial. The purpose of this study is to identify novel treatment and prognosis markers of CRC. We downloaded transcription and clinical data of CRC from the GEO (GSE40967, GSE12954, GSE17536) and TCGA database, screened for differentially autophagy-related genes (DEAGs) and lncRNAs, constructed prognostic model, and analyzed its relationship with immune infiltration. TCGA and GEO datasets (GSE12954 and GSE17536) were used to validate the effect of the model. Oncomine database and Human Protein Atlas verified the expression of DEAGs. We obtained a total of 151 DEAGs in three verification sets collaboratively. Then we constructed a risk prognostic model through Lasso regression to obtain 15 prognostic DEAGs from the training set and verified the risk prognostic model in three verification sets. The low-risk group survived longer than the high-risk group. Age, gender, pathological stage, and TNM stage were related to the prognostic risk of CRC. On the other hand, BRAF status, RFS event, and tumor location are considered as most significant risk factors of CRC in the training set. Furthermore, we found that the immune score of the low-risk group was higher. The content of CD8 + T cells, active NK cells, macrophages M0, macrophages M1, and active dendritic cells was noted more in the high-risk group. The content of plasma cells, resting memory CD4 + T cells, resting NK cells, resting mast cells, and neutrophil cells was higher in the low-risk group. After all, the Oncomine database and immunohistochemistry verified that the expression level of most key autophagy-related genes was consistent with the results that we found. In addition, we obtained six lncRNAs co-expressed with DEAGs from the training set and found that the survival time was longer in the low-risk group. This finding was verified in the verification set and showed same trend to the results mentioned above. In the final analysis, these results indicate that autophagy-related genes and lncRNAs can be used as prognostic and therapeutic markers for CRC.https://www.frontiersin.org/articles/10.3389/fonc.2021.582040/fullcolorectal cancerautophagygenelncRNAprognosisimmune