Research Paper Volume 13, Issue 2 pp 2519—2538

Identification of key modules and genes associated with breast cancer prognosis using WGCNA and ceRNA network analysis

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Figure 5. Expression pattern validation of hub genes and signaling pathways in BRCA. (A) Expression pattern of GRM4, SSTR2, PARD6B, COX6C, and PRR15 in BRCA and normal samples from the GEPIA database. (B) Expression of GRM4, SSTR2, PARD6B, COX6C, and PRR15 in BRCA and normal samples from the GSCALite database. (C) IHC of the GRM4 (GRM4 normal sample from 2104; GRM4 BRCA sample from 2160), SSTR2 (SSTR2 normal sample from 3286; SSTR2 BRCA sample from 2091), PARD6B (PARD6B normal sample from 2042; PARD6B BRCA sample from 1874), COX6C (COX6C normal sample from 2773; COX6C BRCA sample from 1775), and PRR15 (PRR15 normal sample from 2773; PRR15 BRCA sample from 2428) in BRCA and normal samples from the HPA database. (D) Difference in the methylation of GRM4, SSTR2, PARD6B, COX6C, and PRR15 between BRCA and normal samples from the GSCALite database. (E) Difference in the signaling of pathways associated with GRM4, SSTR2, PARD6B, COX6C, and PRR15 between BRCA and normal samples from the GSCALite database. (F) Expression of GRM4, SSTR2, PARD6B, COX6C, PRR15, and lncRNA DSCAM-AS1 in MCF10A (normal breast epithelial cell line) and MDA-MB-231 (breast cancer cell line) using qRT-PCR.