SPP1 and AGER as potential prognostic biomarkers for lung adenocarcinoma

Oncology Letters
Weiguo ZhangQin Liu

Abstract

Overdue treatment and prognostic evaluation lead to low survival rates in patients with lung adenocarcinoma (LUAD). To date, effective biomarkers for prognosis are still required. The aim of the present study was to screen differentially expressed genes (DEGs) as biomarkers for prognostic evaluation of LUAD. DEGs in tumor and normal samples were identified and analyzed for Kyoto Encyclopedia of Genes and Genomes/Gene Ontology functional enrichments. The common genes that are up and downregulated were selected for prognostic analysis using RNAseq data in The Cancer Genome Atlas. Differential expression analysis was performed with 164 samples in GSE10072 and GSE7670 datasets. A total of 484 DEGs that were present in GSE10072 and GSE7670 datasets were screened, including secreted phosphoprotein 1 (SPP1) that was highly expressed and DEGs ficolin 3, advanced glycosylation end-product specific receptor (AGER), transmembrane protein 100 that were lowly expressed in tumor tissues. These four key genes were subsequently verified using an independent dataset, GSE19804. The gene expression model was consistent with GSE10072 and GSE7670 datasets. The dysregulation of highly expressed SPP1 and lowly expressed AGER significantly reduced the...Continue Reading

Citations

Jan 4, 2019·American Journal of Physiology. Lung Cellular and Molecular Physiology·Yuanliang YanZhicheng Gong
Aug 7, 2019·Cells·Anne-Sophie LamortGeorgios T Stathopoulos
Dec 24, 2019·Frontiers in Genetics·Beatriz Andrea Otálora-OtáloraAdriana Rojas
May 25, 2021·Frontiers in Cell and Developmental Biology·You ZhouJingting Jiang

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Datasets Mentioned

BETA
GSE7670
GSE10072
GSE19804
GSM185862

Methods Mentioned

BETA
glycosylation
Chip
RNAseq
chips

Software Mentioned

R
ggplot2
gcrma
GraphPad Prism
SPSS
AffyRNAdeg package
affyPLM
DAVID
GraphPad

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