Cancer Management and Research (Sep 2021)

Comprehensive Analysis to Identify Enhancer-Regulated Inflammation-Associated Genes in Lung Adenocarcinoma

  • Li X,
  • Li X,
  • Ding L

Journal volume & issue
Vol. Volume 13
pp. 7115 – 7129

Abstract

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Xi Li,1 Xinling Li,2 Lina Ding3 1Department of Medical Oncology, Beijing Chest Hospital, Capital Medical University, Beijing Tuberculosis and Thoracic Tumor Research Institute, Beijing, 101149, People’s Republic of China; 2Department of Biomedical Engineering, Georgia Institute of Technology, Atlanta, GA, 30332, USA; 3Key Laboratory of Henan Province for Drug Quality and Evaluation, Ministry of Education of China, School of Pharmaceutical Sciences, Zhengzhou University, Zhengzhou, Henan, 450001, People’s Republic of ChinaCorrespondence: Lina DingKey Laboratory of Henan Province for Drug Quality and Evaluation, Ministry of Education of China, School of Pharmaceutical Sciences, Zhengzhou University, No. 100, Science Road, Zhengzhou, Henan, 450001, People’s Republic of ChinaEmail [email protected]: The purpose of this study was to identify prognostic inflammatory markers regulated by enhancers in lung adenocarcinoma (LUAD).Methods: Inflammatory indices of 490 LUAD patients in TCGA database were calculated using genomic variation analysis (GSVA). Patients were divided into high- and low-inflammatory index groups. Fraction of 22 infiltrating immune cells was estimated using the Cell type Identification By Estimating Relative Subsets Of RNA Transcripts (CIBERSORT). Gene set enrichment analysis (GSEA) was used to analyze gene enrichment. Differentially expressed genes were screened based on TCGA database. The H3K27ac ChIP-seq of A549 cells in GEO database (GSE42374) was analyzed to identify super enhancers. Kaplan–Meier method and multivariate Cox proportional hazards models were used for survival analysis. CCK8 and RT-qPCR were used for cellular level verification.Results: Inflammation was associated with better outcome in LUAD patients. Anti-cancer immune cell fractions were upregulated in high-inflammatory index group. Genes enriched in inflammation-related signaling pathways were positively correlated with high-inflammatory index group. A total of 146 upregulated genes regulated by enhancers were screened, of which five genes including GDF10, HPGDS, ABCA8, SLIT3 and ADAMTS8 had significant influence on prognosis. ChIP-seq analysis showed that TGFβ+TNFα treatment promoted the enhancer activation of the five genes. Cellular experiments revealed that there was no significant effect of TGFβ treatment on the five genes expression. TNFα treatment upregulated the five genes expression, while the BET-bromodomain inhibitor JQ1 restored the effect of TNFα. Overexpression of the five genes significantly inhibited the proliferation of A549 and H1299 cells.Conclusion: GDF10, HPGDS, ABCA8, SLIT3 and ADAMTS8 were identified as enhancer-regulated prognostic inflammation-related biomarkers, and the expression of these genes inhibited proliferation of LUAD cells.Keywords: lung adenocarcinoma, prognosis, inflammation, enhancer

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