Significance of macrophage infiltration in the prognosis of lung adenocarcinoma patients evaluated by scRNA and bulkRNA analysis

Huaiyang Zhu; Chunning Zheng; Hongtao Liu; Fanhua Kong; Shuai Kong; Feng Chen; Yuan Tian; Yuan Tian

doi:10.3389/fimmu.2022.1028440

Frontiers in Immunology (Oct 2022)

Significance of macrophage infiltration in the prognosis of lung adenocarcinoma patients evaluated by scRNA and bulkRNA analysis

Huaiyang Zhu,
Chunning Zheng,
Hongtao Liu,
Fanhua Kong,
Shuai Kong,
Feng Chen,
Yuan Tian,
Yuan Tian

Affiliations

Huaiyang Zhu: Department of Thoracic Surgery, Shandong Second Provincial General Hospital, Jinan, China
Chunning Zheng: Department of Gastrointestinal Surgery, Shandong Provincial Hospital affiliated to Shandong First Medical University, Jinan, China
Hongtao Liu: Department of Pathology, The First Affiliated Hospital of Shandong First Medical University and Shandong Provincial Qianfoshan Hospital, Shandong Medicine and Health Key Laboratory of Clinical Pathology, Shandong Lung Cancer Institute, Shandong Institute of Nephrology, Jinan, China
Fanhua Kong: Department of Thoracic Surgery, The Affiliated Taian City Centeral Hospital of Qingdao University, Taian, China
Shuai Kong: Department of Gastrointestinal Surgery, Shandong Provincial Hospital affiliated to Shandong First Medical University, Jinan, China
Feng Chen: Department of Thoracic Surgery, Shandong Cancer Hospital and Institute, Shandong First Medical University and Shandong Academy of Medical Sciences, Jinan, China
Yuan Tian: Department of Otolaryngology-Head and Neck Surgery, Shandong Provincial ENT Hospital, Shandong University, Jinan, China
Yuan Tian: Radiotherapy Department, Shandong Second Provincial General Hospital, Shandong University, Jinan, China

DOI: https://doi.org/10.3389/fimmu.2022.1028440
Journal volume & issue: Vol. 13

Abstract

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PurposeTo investigate the significance of macrophage infiltration to the prognosis of lung adenocarcinoma.MethodsR language bioinformatics analysis technology, was used to obtain macrophage infiltration-related module genes through WGCNA (Weighted Gene Co-Expression Network Analysis). Marker genes of macrophage subtypes were identified using single-cell sequencing of lung adenocarcinoma tissue. Risk score models were constructed and validated using external data cohorts and clinical samples.ResultsAnalysis of cohorts TCGA-LUAD, GSE11969, GSE31210, GSE50081, GSE72094 and GSE8894, revealed a negative correlation between macrophage infiltration and survival. Immunohistochemical analyses of clinical samples were consistent with these data. Based on cell-cluster-markers and TAMs-related-genes, TOP8 genes were obtained (C1QTNF6, CCNB1, FSCN1, HMMR, KPNA2, PRC1, RRM2, and TK1) with a significant association to prognosis. Risk score models including 9 factors (C1QTNF6, FSCN1, KPNA2, GLI2, TYMS, BIRC3, RBBP7, KRT8, GPR65) for prognosis were constructed. The efficacy, stability and generalizability of the risk score models were validated using multiple data cohorts (GSE19188, GSE26939, GSE31210, GSE50081, GSE42127, and GSE72094).ConclusionsMacrophage infiltration negatively correlates with prognosis in patients with lung adenocarcinoma. Based on cell-cluster-markers and TAMs-related-genes, both TOP8 genes (C1QTNF6, CCNB1, FSCN1, HMMR, KPNA2, PRC1, RRM2, TK1) and risk score models using C1QTNF6, FSCN1, KPNA2, GLI2, TYMS, BIRC3, RBBP7, KRT8, GPR65 could predict disease prognosis.

Published in Frontiers in Immunology

ISSN: 1664-3224 (Online)
Publisher: Frontiers Media S.A.
Country of publisher: Switzerland
LCC subjects: Medicine: Internal medicine: Specialties of internal medicine: Immunologic diseases. Allergy
Website: http://journal.frontiersin.org/journal/immunology

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