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Published on: May 17, 2019
GAS2 Co-Expression Networks in Breast Cancer: Identification of Potential Biomarkers and Therapeutic Targets
Samin Rahimi1, Mehdi Haghi1, Dariush Najarzadeh2
1Department of Animal Biology, Faculty of Natural Sciences, University of Tabriz, Tabriz, Iran.
Introduction:
Breast Cancer (BCa) remains the leading cause of cancer-related mortality among women, underscoring the need for developing more effective novel biomarkers. This study investigated the role of Growth Arrest-Specific 2 (GAS2) and its co-expressed genes in breast cancer.
Methods:
RNA-Seq data from 60 matched normal and malignant breast tissue samples (GSE183947) were analyzed. Expression values were normalized using FPKM, and GAS2 co-expression networks were constructed with SUM Lasso and linear regression. Gene-gene interaction networks were examined using Gephi software.
Results:
GAS2 expression was significantly reduced in tumors compared with normal tissues (P<0.01). Distinct sets of GAS2-associated genes were identified in cancer versus normal tissues, with tumor-associated partners (TAS2R14, PHF21B, CNTN5, UGT2B15) linked to drug metabolism and signaling, and normal-associated partners (DCC, STAT5A, ZCRB1) linked to transcriptional and cytoskeletal regulation. Network analysis revealed substantial differences in gene expression patterns between tumor and normal tissues, indicating GAS2's involvement in cancer-specific signaling pathways.
Conclusion:
GAS2 displays context-dependent gene interactions and reduced expression in BCa, suggesting potential relevance to tumor biology. While these findings support its value as a candidate biomarker, experimental validation is required before translational applications can be established.
