METHODS: In total, 80 samples of tumor and matched adjacent normal tissues were collected from breast cancer patients at Seberang Jaya Hospital (SJH) and Kepala Batas Hospital (KBH), both in Penang, Malaysia. The protein expression profiles of breast cancer and normal tissues were mapped by sodium dodecyl sulfate polyacrylamide gel electrophoresis (SDS-PAGE). The Gel-Eluted Liquid Fractionation Entrapment Electrophoresis (GELFREE) Technology System was used for the separation and fractionation of extracted proteins, which also were analyzed to maximize protein detection. The protein fractions were then analyzed by tandem mass spectrometry (LC-MS/MS) analysis using LC/MS LTQ-Orbitrap Fusion and Elite. This study identified the proteins contained within the tissue samples using de novo sequencing and database matching via PEAKS software. We performed two different pathway analyses, DAVID and STRING, in the sets of proteins from stage 2 and stage 3 breast cancer samples. The lists of molecules were generated by the REACTOME-FI plugin, part of the CYTOSCAPE tool, and linker nodes were added in order to generate a connected network. Then, pathway enrichment was obtained, and a graphical model was created to depict the participation of the input proteins as well as the linker nodes.
RESULTS: This study identified 12 proteins that were detected in stage 2 tumor tissues, and 17 proteins that were detected in stage 3 tumor tissues, related to their normal counterparts. It also identified some proteins that were present in stage 2 but not stage 3 and vice versa. Based on these results, this study clarified unique proteins pathways involved in carcinogenesis within stage 2 and stage 3 breast cancers.
CONCLUSIONS: This study provided some useful insights about the proteins associated with breast cancer carcinogenesis and could establish an important foundation for future cancer-related discoveries using differential proteomics profiling. Beyond protein identification, this study considered the interaction, function, network, signaling pathway, and protein pathway involved in each profile. These results suggest that knowledge of protein expression, especially in stage 2 and stage 3 breast cancer, can provide important clues that may enable the discovery of novel biomarkers in carcinogenesis.
DESIGN: Immunohistochemical expression of IGFBP-2 protein was semi-quantitatively assessed in tissue microarrays containing 9 normal cervix, 10 low grade cervical intraepithelial neoplasia (LGCIN), 10 high grade cervical intraepithelial neoplasia (HGCIN) and 42 squamous cell carcinoma (SCC) cases. The gene expression profiles of IGFBP-2, IGF-1, IGF-1R, PTEN, MDM2, AKT1 and TP53 were determined in three cervical tissue samples each from normal cervix, human papillomavirus (HPV)-infected LGCIN, HGCIN and SCC, using Human Transcriptome Array 2.0.
RESULTS: IGFBP-2 protein was highly expressed in the cytoplasm of SCC cells compared to normal cervix (p = .013). The expression was not significantly associated with CIN grade or SCC stage. Transcriptomics profiling demonstrated upregulation of IGFBP-2 and TP53 in HGCIN and SCC compared to normal cervix. IGF-1, IGF-1R and PTEN genes were downregulated in all histological groups. IGF-1 gene was significantly downregulated in SCC (p = .031), while PTEN gene was significantly downregulated in HGCIN (p = .012), compared to normal cervix. MDM2 and AKT1 genes were downregulated in LGCIN and HGCIN, while upregulated in SCC.
CONCLUSION: In cervical carcinogenesis, IGFBP-2 appears to play an oncogenic role, probably through an IGF-independent mechanism.
RESULTS: Using in silico methods, we studied the predicted interactions between bromelain and key proteins involved in NPC oncogenesis, specifically β-catenin, PIK3CA, mTOR, EGFR, and BCL2. Molecular docking strategies were performed using a myriad of computational tools. A 3D model of bromelain was constructed using SWISS-MODEL, followed by molecular docking simulations performed with ClusPro. The binding affinities of the docked complexes were evaluated using HawkDock, and the interactions were analysed with LigPlot+. The docking scores indicated potential spontaneous interactions, with binding affinities based on being - 103.89 kcal/mol (PIK3CA), -73.16 kcal/mol (EGFR), -71.18 kcal/mol (mTOR), -65.22 kcal/mol (β-catenin), and - 57.48 kcal/mol (BCL2). LigPlot + analysis revealed the presence of hydrogen bonds, hydrophobic interactions, and salt bridges, indicating stable predicted interactions.
CONCLUSION: Our findings suggest that bromelain can target key proteins involved in NPC oncogenesis, with the strongest affinity towards PIK3CA. This suggests a hypothetical insight into bromelain's anticancer effects on NPC through the modulation of the PI3K/Akt signaling pathway.