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Predicting lung adenocarcinoma prognosis with a novel risk scoring based on platelet-related gene expression

  • Chengmao Zhou
  • , Yongsheng Wang
  • , Ying Wang
  • , Lei Lei
  • , Mu Huo Ji
  • , Guoren Zhou
  • , Hongping Xia
  • , Jian Jun Yang
  • First Affiliated Hospital of Zhengzhou University
  • Southeast University, Nanjing
  • Nanjing Drum Tower Hospital
  • Jiangsu Institute of Cancer Institute & Hospital

Research output: Contribution to journalArticlepeer-review

10 Scopus citations

Abstract

Lung adenocarcinoma is the most common subtype of non-small cell lung cancer, and platelet receptor-related genes are related to its occurrence and progression. A new prognostic indicator based on platelet receptor-related genes was developed with multivariate COX analysis. Prognostic markers based on platelet-related risk score perform moderately in prognosis prediction. The functional annotation of this risk model in high-risk patients shows that the pathways related to cell cycle, glycolysis and platelet-derived related factors are rich. It is worth noting that somatic mutation analysis shows that TTN and MUC16 have higher mutation burdens in high-risk patients. Moreover, the differential genes of high- and low-risk groups are regulated by copy number variation and miRNA. And we provide a free online nomogram web tool based on clinical factors and the risk score (https://wsxzaq.shinyapps.io/wsxzaq nomogram/). The score has been verified among three independent external cohorts (GSE13213, GSE68465 and GSE72094), and is still an independent risk factor for lung adenocarcinoma. In addition, among the other 6 cancers, the OS prognosis of high and low-risk groups of PRS is different (P < 0.05). Our research results have screened multiple platelet differential genes with clinical significance and constructed a meaningful prognostic risk score (PRS).

Original languageEnglish
Pages (from-to)8706-8719
Number of pages14
JournalAging
Volume13
Issue number6
DOIs
StatePublished - 2021

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

Keywords

  • TCGA
  • bioinformatics analysis
  • lung adenocarcinoma
  • nomogram
  • platelet

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