| Literature DB >> 30851359 |
V S P K Sankara Aditya Jayanthi1, Asim Bikas Das2, Urmila Saxena3.
Abstract
An integrative approach is presented to identify grade-specific biomarkers for breast cancer. Grade-specific molecular interaction networks were constructed with differentially expressed genes (DEGs) of cancer grade 1, 2, and 3. We observed that the molecular network of grade3 is predominantly associated with cancer-specific processes. Among the top ten connected DEGs in the grade3, the increase in the expression of UBE2C and CCNB2 genes was statistically significant across different grades. Along with UBE2C and CCNB2 genes, the CDK1, KIF2C, NDC80, and CCNB2 genes are also profoundly expressed in different grades and reduce the patient's survival. Gene set enrichment analysis of these six genes reconfirms their role in metastatic phenotype. Moreover, the coexpression network shows a strong association of these six genes promotes cancer specific biological processes and possibly drives cancer from lower to a higher grade. Collectively the identified genes can act as potential biomarkers for breast cancer diagnosis and prognosis.Entities:
Keywords: Breast cancer; Diagnostic markers; Grade-specific network; Prognosis; Survival analysis
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Year: 2019 PMID： 30851359 DOI： 10.1016/j.ygeno.2019.03.001
Source DB: PubMed Journal: Genomics ISSN： 0888-7543 Impact factor: 5.736