Identifying Common Genes Related to Platelet and Immunity for Lung Adenocarcinoma Prognosis Prediction

Overview

Journal Front Mol Biosci

Specialty Biology

Date 2020 Nov 16

PMID 33195410

Citations 5

Authors

Chengmao Zhou

Ying Wang

Lei Lei

Mu-Huo Ji

Jian-Jun Yang

Hongping Xia

Affiliations

Soon will be listed here.

Abstract

Background: Although 1000s of immune-related and platelet receptor-related genes have been identified in lung adenocarcinoma, their role in prognosis prediction remains unclear.

Methods: We downloaded mRNA data from the Cancer Genome Atlas Dataset (TCGA), and GSE68465 or GSE14814 data sets from the Gene Expression Omnibus (GEO) database.

Results: The high-risk group's overall survival (OS) time was lower than that of the low-risk group's in TCGA ( = 1.15e-03). Additionally, the risk score was an independent prognostic survival factor for lung adenocarcinoma patients in TCGA (HR = 2.136, 95%CI = 1.553-2.937, < 0.001). The model's prognostic performance was verified with two independent GEO cohorts (GSE68465 and GSE14814). We also developed a nomogram and provided free webpage prediction tools. The mechanism of the high-risk group in this risk score may be have been related to somatic mutations and copy number changes. In addition, this risk score can distinguish the prognosis of the other two cancers (ACC, < 0.001 and KIRP, < 0.001). Also, among the other seven cancers, the OS prognosis for high and low risk groups show wide variation ( < 0.05).

Conclusion: Our research demonstrates that CCNA2 and TGFB2 are potential diagnostic and prognostic biomarkers, as well as therapeutic targets in lung adenocarcinoma (LUAD). We also determined a novel and reliable prognostic score for lung adenocarcinoma prognosis. The online nomogram prediction tool that contains this risk score may also help clinical medical staff.

Citing Articles

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CCNA2 as an Immunological Biomarker Encompassing Tumor Microenvironment and Therapeutic Response in Multiple Cancer Types.

Jiang A, Zhou Y, Gong W, Pan X, Gan X, Wu Z Oxid Med Cell Longev. 2022; 2022:5910575.

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