Characterization of Fatty Acid Metabolism in Lung Adenocarcinoma

Background: Lung adenocarcinoma (LUAD) is the most common subtype of non-small cell lung cancer. Fatty acid metabolism takes part in malignancy progression. However, the roles fatty acid metabolism plays in LUAD are still unclear.Methods: The transcriptomic and clinical data of LUAD patients from Th...

Full description

Bibliographic Details
Main Authors: Suyu Wang, Aona Chen, Wanli Zhu, Di Feng, Juan Wei, Quanfu Li, Xuan Shi, Xin Lv, Meiyun Liu
Format: Article
Language:English
Published: Frontiers Media S.A. 2022-07-01
Series:Frontiers in Genetics
Subjects:
Online Access:https://www.frontiersin.org/articles/10.3389/fgene.2022.905508/full
_version_ 1811292480135495680
author Suyu Wang
Suyu Wang
Aona Chen
Wanli Zhu
Di Feng
Juan Wei
Quanfu Li
Xuan Shi
Xin Lv
Meiyun Liu
author_facet Suyu Wang
Suyu Wang
Aona Chen
Wanli Zhu
Di Feng
Juan Wei
Quanfu Li
Xuan Shi
Xin Lv
Meiyun Liu
author_sort Suyu Wang
collection DOAJ
description Background: Lung adenocarcinoma (LUAD) is the most common subtype of non-small cell lung cancer. Fatty acid metabolism takes part in malignancy progression. However, the roles fatty acid metabolism plays in LUAD are still unclear.Methods: The transcriptomic and clinical data of LUAD patients from The Cancer Genome Atlas (TCGA) and Gene Expression Omnibus (GEO) databases were extracted. ssGSEA, WGCNA, univariable Cox regression, and LASSO Cox regression analyses were performed to identify the fatty acid metabolism-related genes which influenced the overall survival (OS) and build a fatty acid-related risk score (FARS) model. A nomogram was established based on the FARS and other clinicopathological features, and ROC and calibration plots were used to validate the prediction accuracy. The tumor microenvironment (TME) of patients with high and low FARS was compared.Results: A total of 38 genes were identified to be independently related to the survival outcome and put into a FARS model. High FARS patients exhibited significantly worse OS. The nomogram included the FARS and pathological stage, and the AUC of the nomogram predicting 1-, 2-, 3-, 4-, and 5-year OS was 0.789, 0.807, 0.798, 0.809, and 0.753, respectively. Calibration plots also indicated good accuracy. Moreover, the samples of the high FARS had higher expression of PDL1.Conclusion: We constructed a FARS model which could accurately predict the survival outcome of the LUAD patients. The genes of the FARS are related to the tumor microenvironment and patients with high FARS can potentially benefit more from anti-PD1/PDL1 immunotherapy. In addition, the mechanisms of the genes in the FARS affecting prognosis are worthy of further research to develop new gene-targeted drugs.
first_indexed 2024-04-13T04:45:55Z
format Article
id doaj.art-6172fe725c0b4820bd50d403ef4321bc
institution Directory Open Access Journal
issn 1664-8021
language English
last_indexed 2024-04-13T04:45:55Z
publishDate 2022-07-01
publisher Frontiers Media S.A.
record_format Article
series Frontiers in Genetics
spelling doaj.art-6172fe725c0b4820bd50d403ef4321bc2022-12-22T03:01:51ZengFrontiers Media S.A.Frontiers in Genetics1664-80212022-07-011310.3389/fgene.2022.905508905508Characterization of Fatty Acid Metabolism in Lung AdenocarcinomaSuyu Wang0Suyu Wang1Aona Chen2Wanli Zhu3Di Feng4Juan Wei5Quanfu Li6Xuan Shi7Xin Lv8Meiyun Liu9Department of Anesthesiology, Shanghai Pulmonary Hospital, Tongji University School of Medicine, Shanghai, ChinaDepartment of Cardiothoracic Surgery, Changzheng Hospital, Naval Medical University, Shanghai, ChinaDepartment of General Surgery, Changzheng Hospital, Naval Medical University, Shanghai, ChinaDepartment of General Surgery, Shanghai Pulmonary Hospital, Tongji University School of Medicine, Shanghai, ChinaDepartment of Anesthesiology, Shanghai Pulmonary Hospital, Tongji University School of Medicine, Shanghai, ChinaDepartment of Anesthesiology, Shanghai Pulmonary Hospital, Tongji University School of Medicine, Shanghai, ChinaDepartment of Anesthesiology, Shanghai Pulmonary Hospital, Tongji University School of Medicine, Shanghai, ChinaDepartment of Anesthesiology, Shanghai Pulmonary Hospital, Tongji University School of Medicine, Shanghai, ChinaDepartment of Anesthesiology, Shanghai Pulmonary Hospital, Tongji University School of Medicine, Shanghai, ChinaDepartment of Anesthesiology, Shanghai Pulmonary Hospital, Tongji University School of Medicine, Shanghai, ChinaBackground: Lung adenocarcinoma (LUAD) is the most common subtype of non-small cell lung cancer. Fatty acid metabolism takes part in malignancy progression. However, the roles fatty acid metabolism plays in LUAD are still unclear.Methods: The transcriptomic and clinical data of LUAD patients from The Cancer Genome Atlas (TCGA) and Gene Expression Omnibus (GEO) databases were extracted. ssGSEA, WGCNA, univariable Cox regression, and LASSO Cox regression analyses were performed to identify the fatty acid metabolism-related genes which influenced the overall survival (OS) and build a fatty acid-related risk score (FARS) model. A nomogram was established based on the FARS and other clinicopathological features, and ROC and calibration plots were used to validate the prediction accuracy. The tumor microenvironment (TME) of patients with high and low FARS was compared.Results: A total of 38 genes were identified to be independently related to the survival outcome and put into a FARS model. High FARS patients exhibited significantly worse OS. The nomogram included the FARS and pathological stage, and the AUC of the nomogram predicting 1-, 2-, 3-, 4-, and 5-year OS was 0.789, 0.807, 0.798, 0.809, and 0.753, respectively. Calibration plots also indicated good accuracy. Moreover, the samples of the high FARS had higher expression of PDL1.Conclusion: We constructed a FARS model which could accurately predict the survival outcome of the LUAD patients. The genes of the FARS are related to the tumor microenvironment and patients with high FARS can potentially benefit more from anti-PD1/PDL1 immunotherapy. In addition, the mechanisms of the genes in the FARS affecting prognosis are worthy of further research to develop new gene-targeted drugs.https://www.frontiersin.org/articles/10.3389/fgene.2022.905508/fullfatty acid metabolismlung adenocarcinomaprognosisfatty acid-related risk scoreimmunotherapy
spellingShingle Suyu Wang
Suyu Wang
Aona Chen
Wanli Zhu
Di Feng
Juan Wei
Quanfu Li
Xuan Shi
Xin Lv
Meiyun Liu
Characterization of Fatty Acid Metabolism in Lung Adenocarcinoma
Frontiers in Genetics
fatty acid metabolism
lung adenocarcinoma
prognosis
fatty acid-related risk score
immunotherapy
title Characterization of Fatty Acid Metabolism in Lung Adenocarcinoma
title_full Characterization of Fatty Acid Metabolism in Lung Adenocarcinoma
title_fullStr Characterization of Fatty Acid Metabolism in Lung Adenocarcinoma
title_full_unstemmed Characterization of Fatty Acid Metabolism in Lung Adenocarcinoma
title_short Characterization of Fatty Acid Metabolism in Lung Adenocarcinoma
title_sort characterization of fatty acid metabolism in lung adenocarcinoma
topic fatty acid metabolism
lung adenocarcinoma
prognosis
fatty acid-related risk score
immunotherapy
url https://www.frontiersin.org/articles/10.3389/fgene.2022.905508/full
work_keys_str_mv AT suyuwang characterizationoffattyacidmetabolisminlungadenocarcinoma
AT suyuwang characterizationoffattyacidmetabolisminlungadenocarcinoma
AT aonachen characterizationoffattyacidmetabolisminlungadenocarcinoma
AT wanlizhu characterizationoffattyacidmetabolisminlungadenocarcinoma
AT difeng characterizationoffattyacidmetabolisminlungadenocarcinoma
AT juanwei characterizationoffattyacidmetabolisminlungadenocarcinoma
AT quanfuli characterizationoffattyacidmetabolisminlungadenocarcinoma
AT xuanshi characterizationoffattyacidmetabolisminlungadenocarcinoma
AT xinlv characterizationoffattyacidmetabolisminlungadenocarcinoma
AT meiyunliu characterizationoffattyacidmetabolisminlungadenocarcinoma