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Dataset Information

Identification and validation of CCN family genes to predict the prognosis in gastric cancer.


ABSTRACT:

Background

Gastric cancer (GC) is a deadly malignancy with an ever-increasing incidence worldwide. The cellular communication network (CCN) family serves as matricellular proteins and exerts their various functions via regulating cell proliferation and differentiation. This study aimed to perform an integrated analysis of CCNs to predict the prognosis in GC.

Methods

The microarray datasets were obtained from Gene Expression Omnibus database to identify the differentially expressed genes between GC and non-tumor tissues. Functional enrichment and genetic alteration analysis revealed the biological functions and alteration status associated with CCNs. We analyzed the mRNA and protein expressions of CCN family in GC patients. Furthermore, the prognostic value of distinct CCN fa

SUBMITTER: Chen H 

PROVIDER: S-EPMC11530581 | biostudies-literature | 2024 Nov

REPOSITORIES: biostudies-literature