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Authors Liao P, Li W, Liu RZ, Teer JK, Xu BB, Zhang W, Li X, Mcleod HL, He YJ
Received 12 May 2018
Accepted for publication 8 August 2018
Published 15 October 2018 Volume 2018:11 Pages 6969—6980
DOI https://doi.org/10.2147/OTT.S173934
Checked for plagiarism Yes
Review by Single-blind
Peer reviewers approved by Dr Justinn Cochran
Peer reviewer comments 2
Editor who approved publication: Dr Leo Jen-Liang Su
Background: Gastric cancer (GC) is one of the most common types of malignancy
and is associated with high morbidity and mortality rates around the world.
With poor clinical outcomes, potential biomarkers for diagnosis and prognosis
are important to investigate.
Objective: The aim of this study is to investigate the gene expression module of GC
and to identify potential diagnostic and prognostic biomarkers.
Method: Microarray data (GSE13911, GSE29272, GSE54129, and GSE79973),
including 293 stomach tumor tissues and 196 normal tissues, were analyzed to
identify differentially expressed genes (DEGs). DEGs were identified in four
profiles by intersecting four overlapping subsets, including 90 downregulated
and 45 upregulated DEGs in common. Gene ontology (GO) and Kyoto Encyclopedia of
Genes and Genomes pathway analyses have been showed that extracellular matrix
was the most enriched signal pathway. Furthermore, hub genes were analyzed by
protein–protein interaction network and clinical outcomes were assessed by
Kaplan–Meier survival analysis. Two independent datasets were used to validate
the differential expression of two hub genes: Serpin Family E Member 1
(SERPINE1) and Secreted Protein Acidic and Cysteine Rich (SPARC).
Results: Validation of independent datasets indicated that SERPINE1 and SPARC
expression were drastically increased in gastric tumor tissues and associated
with poor outcomes in GC patients. The expression of SERPINE1 was related to
race (Asian and White) (P < 0.05).
Conclusion: SERPINE1 and SPARC were significantly upregulated in gastric tissues and
associated with poor outcomes. The investigations of SERPINE1 and SPARC may
promote their predictive and prognostic value in GC.
Keywords: gastric cancer, SERPINE1, SPARC, diagnosis, prognosis, biomarker