J Cancer 2020; 11(1):121-131. doi:10.7150/jca.35763 This issue

Research Paper

Overexpressing PLOD family genes predict poor prognosis in gastric cancer

Shan-Shan Li1*, Yi-Fan Lian2*, Yan-Lin Huang3, Yue-Hua Huang2,3✉, Jian Xiao1✉

1. Department of Medical Oncology, the Sixth Affiliated Hospital of Sun Yat-sen University, Guangzhou, China
2. Guangdong Provincial Key Laboratory of Liver Disease Research, the Third Affiliated Hospital of Sun Yat-sen University, Guangzhou, China
3. Department of Infectious Diseases, the Third Affiliated Hospital of Sun Yat-sen University, Guangzhou, China
*These authors contributed equally to this work

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Citation:
Li SS, Lian YF, Huang YL, Huang YH, Xiao J. Overexpressing PLOD family genes predict poor prognosis in gastric cancer. J Cancer 2020; 11(1):121-131. doi:10.7150/jca.35763. Available from https://www.jcancer.org/v11p0121.htm

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Abstract

Procollagen-lysine, 2-oxoglutarate 5-dioxygenases (PLODs) are a set of enzymes involved in the hydroxylation of lysine and stabilization of collagen by crosslinks. Previous studies have highlighted that overexpressing PLOD genes were related to the progression, migration and progression of different human cancers. However, the diverse expression patterns and prognostic values of PLOD genes remain to be elucidated in gastric cancer (GC). In this study, we mined the expression and survival data in GC patients through ONCOMINE, UALCAN and Kaplan-Meier Plotter database. STRING portal couple with DAVID was used to establish a functional protein interaction network of PLOD family genes and analyze the GO and KEGG enriched pathways. Differential gene expression correlated with PLOD family genes was identified with LinkedOmics. We found that PLOD1, 2 and 3 were up-regulated in GC patients compared with normal tissues. High expression levels of PLOD1 and PLOD3 were associated with shorter overall survival (OS), first progression (FP) and post progression survival (PPS) while high expression level of PLOD2 was only associated with shorter FP in all GC patients. Specifically, only high PLOD2 expression had significant correlation with shorter OS, FP and PPS in the diffuse type GC patients. Furthermore, combinatorial use of expressions of all PLOD genes was a superior prognostic indicator for GC patients. Pathway analysis confirmed that PLOD family genes mainly participate in regulating the collagen metabolism and extracellular matrix constitution, and the cellular adaptor protein SHC1, which helps to transduce an extracellular signal into an intracellular signal, could be the regulatory module mediating PLOD's effect on GC. Therefore, we propose that individual PLOD genes or PLOD family genes as a whole could be potential prognostic biomarkers for GC.

Keywords: PLOD, gastric cancer, prognosis, bioinformatics