Cargando…
Prognosis-related autophagy genes in female lung adenocarcinoma
To screen the prognosis-related autophagy genes of female lung adenocarcinoma by the transcriptome data and clinical data from The Cancer Genome Atlas (TCGA) database. In this study, screen meaningful female lung adenocarcinoma differential genes in TCGA, use univariate Cox proportional regression m...
Autores principales: | , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Lippincott Williams & Wilkins
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8735786/ https://www.ncbi.nlm.nih.gov/pubmed/35029906 http://dx.doi.org/10.1097/MD.0000000000028500 |
_version_ | 1784628317597466624 |
---|---|
author | Liu, Zhongxiang Zhang, Koudong Zhao, Zhangyan Qin, Zhu Tang, Haicheng |
author_facet | Liu, Zhongxiang Zhang, Koudong Zhao, Zhangyan Qin, Zhu Tang, Haicheng |
author_sort | Liu, Zhongxiang |
collection | PubMed |
description | To screen the prognosis-related autophagy genes of female lung adenocarcinoma by the transcriptome data and clinical data from The Cancer Genome Atlas (TCGA) database. In this study, screen meaningful female lung adenocarcinoma differential genes in TCGA, use univariate Cox proportional regression model to select genes related to prognosis, and establish the best risk model. In this study, Gene Ontology and Kyoto Encyclopedia of Genes and Genomes were applied for carrying out bioinformatics analysis of gene function. The gene expression and clinical data of 264 female lung adenocarcinoma patient samples were downloaded from TCGA. Twelve down-regulated genes: NRG3, DLC1, NLRC4, DAPK2, HSPB8, PPP1R15A, FOS, NRG1, PRKCQ, GRID1, MAP1LC3C, GABARAPL1. Up-regulated 15 genes: PARP1, BNIP3, P4HB, ATIC, IKBKE, ITGB4, VMP1, PTK6, EIF4EBP1, GAPDH, ATG9B, ERO1A, TMEM74, CDKN2A, BIRC5. Gene Ontology and Kyoto Encyclopedia of Genes and Genomes analysis showed that these genes were significantly associated with autophagy and mitochondria (animals). Multifactor Cox analysis of autophagy-related genes showed that ITGA6, ERO1A, FKBP1A, BAK1, CCR2, FADD, EDEM1, ATG10, ATG4A, DLC1, VAMP7, ST13 were identified as independent prognostic indicators. According to the multivariate Cox proportional hazard regression model, there was a significant difference in the survival rate observed between the high-risk group (n = 124) and the low-risk group (n = 126) during the 10-year follow-up (P < .05). Univariate Cox analysis showed that tumor stage, T, M, and N stages, and risk score were all related to the survival rate of female lung adenocarcinoma patients. Multivariate Cox analysis found that autophagy-related risk scores were independent predictors, with an area under curve (AUC) value of 0.842. At last, there is autophagy genes differentially expressed among various clinicopathological parameters: ATG4A, BAK1, CCR2, DLC1, ERO1A, FKBP1A, ITGA6. The risk score can be used as an independent prognostic indicator for female patients with lung adenocarcinoma. The autophagy genes ITGA6, ERO1A, FKBP1A, BAK1, CCR2, FADD, EDEM1, ATG10, ATG4A, DLC1, VAMP7, ST13 were identified as prognostic genes in female lung adenocarcinoma, which may be the targets of treatment in the future. |
format | Online Article Text |
id | pubmed-8735786 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Lippincott Williams & Wilkins |
record_format | MEDLINE/PubMed |
spelling | pubmed-87357862022-01-11 Prognosis-related autophagy genes in female lung adenocarcinoma Liu, Zhongxiang Zhang, Koudong Zhao, Zhangyan Qin, Zhu Tang, Haicheng Medicine (Baltimore) 5700 To screen the prognosis-related autophagy genes of female lung adenocarcinoma by the transcriptome data and clinical data from The Cancer Genome Atlas (TCGA) database. In this study, screen meaningful female lung adenocarcinoma differential genes in TCGA, use univariate Cox proportional regression model to select genes related to prognosis, and establish the best risk model. In this study, Gene Ontology and Kyoto Encyclopedia of Genes and Genomes were applied for carrying out bioinformatics analysis of gene function. The gene expression and clinical data of 264 female lung adenocarcinoma patient samples were downloaded from TCGA. Twelve down-regulated genes: NRG3, DLC1, NLRC4, DAPK2, HSPB8, PPP1R15A, FOS, NRG1, PRKCQ, GRID1, MAP1LC3C, GABARAPL1. Up-regulated 15 genes: PARP1, BNIP3, P4HB, ATIC, IKBKE, ITGB4, VMP1, PTK6, EIF4EBP1, GAPDH, ATG9B, ERO1A, TMEM74, CDKN2A, BIRC5. Gene Ontology and Kyoto Encyclopedia of Genes and Genomes analysis showed that these genes were significantly associated with autophagy and mitochondria (animals). Multifactor Cox analysis of autophagy-related genes showed that ITGA6, ERO1A, FKBP1A, BAK1, CCR2, FADD, EDEM1, ATG10, ATG4A, DLC1, VAMP7, ST13 were identified as independent prognostic indicators. According to the multivariate Cox proportional hazard regression model, there was a significant difference in the survival rate observed between the high-risk group (n = 124) and the low-risk group (n = 126) during the 10-year follow-up (P < .05). Univariate Cox analysis showed that tumor stage, T, M, and N stages, and risk score were all related to the survival rate of female lung adenocarcinoma patients. Multivariate Cox analysis found that autophagy-related risk scores were independent predictors, with an area under curve (AUC) value of 0.842. At last, there is autophagy genes differentially expressed among various clinicopathological parameters: ATG4A, BAK1, CCR2, DLC1, ERO1A, FKBP1A, ITGA6. The risk score can be used as an independent prognostic indicator for female patients with lung adenocarcinoma. The autophagy genes ITGA6, ERO1A, FKBP1A, BAK1, CCR2, FADD, EDEM1, ATG10, ATG4A, DLC1, VAMP7, ST13 were identified as prognostic genes in female lung adenocarcinoma, which may be the targets of treatment in the future. Lippincott Williams & Wilkins 2022-01-07 /pmc/articles/PMC8735786/ /pubmed/35029906 http://dx.doi.org/10.1097/MD.0000000000028500 Text en Copyright © 2022 the Author(s). Published by Wolters Kluwer Health, Inc. https://creativecommons.org/licenses/by-nc/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution-Non Commercial License 4.0 (CCBY-NC), where it is permissible to download, share, remix, transform, and buildup the work provided it is properly cited. The work cannot be used commercially without permission from the journal. http://creativecommons.org/licenses/by-nc/4.0 (https://creativecommons.org/licenses/by-nc/4.0/) |
spellingShingle | 5700 Liu, Zhongxiang Zhang, Koudong Zhao, Zhangyan Qin, Zhu Tang, Haicheng Prognosis-related autophagy genes in female lung adenocarcinoma |
title | Prognosis-related autophagy genes in female lung adenocarcinoma |
title_full | Prognosis-related autophagy genes in female lung adenocarcinoma |
title_fullStr | Prognosis-related autophagy genes in female lung adenocarcinoma |
title_full_unstemmed | Prognosis-related autophagy genes in female lung adenocarcinoma |
title_short | Prognosis-related autophagy genes in female lung adenocarcinoma |
title_sort | prognosis-related autophagy genes in female lung adenocarcinoma |
topic | 5700 |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8735786/ https://www.ncbi.nlm.nih.gov/pubmed/35029906 http://dx.doi.org/10.1097/MD.0000000000028500 |
work_keys_str_mv | AT liuzhongxiang prognosisrelatedautophagygenesinfemalelungadenocarcinoma AT zhangkoudong prognosisrelatedautophagygenesinfemalelungadenocarcinoma AT zhaozhangyan prognosisrelatedautophagygenesinfemalelungadenocarcinoma AT qinzhu prognosisrelatedautophagygenesinfemalelungadenocarcinoma AT tanghaicheng prognosisrelatedautophagygenesinfemalelungadenocarcinoma |