Abstract
BackgroundSerous carcinoma, the subtype of ovarian cancer has the highest occurrence and mortality in women. Proteomic profiling using mass spectrometry (MS) has been used to detect biomarkers in tissue s obtained from patients with ovarian cancer.Thus, this study aimed at analyzing the interactome (protein-protein interaction (PPI)) and (MS) data to inspect PPI networks in patients with Low grade serous ovarian cancer.MethodsFor proteome profiling in Low grade serous ovarian cancer, 2DE and mass spectrometry were used. Differentially expressed proteins which had been determined in Low grade serous ovarian cancer and experimental group separately were integrated with PPI data to construct the (QQPPI) networks.ResultsSix Hub-bottlenecks proteins with significant centrality values, based on centrality parameters of the network (Degree and between), were found including Transgelin (TAGLN), Keratin (KRT14), Single peptide match to actin, cytoplasmic 1(ACTB), apolipoprotein A-I (APOA1), Peroxiredoxin-2 (PRDX2), and Haptoglobin (HP).DiscussionThis study showed these six proteins were introduced as hub-bottleneck protein. It can be concluded that regulation of gene expression can have a critical role in the pathology of Low-grade serous ovarian cancer.
Highlights
Ovarian cancer is the fifth cause of death among other cancers in American women [1]
This study reports on proteomics profiling study of Low grade serous ovarian cancer by using integrate interactome (protein-protein interaction (PPI)) and (MS) data to construct and analyze PPI networks for Low grade serous ovarian cancer from controls with 100% accuracy, sensitivity, and specificity possible through panel markers
The finding indicates that 6 Hubbottlenecks proteins including Transgelin (TAGLN), Keratin (KRT14), Single peptide match to actin cytoplasmic 1(ACTB), apolipoprotein A-I (APOA1), Peroxiredoxin-2 (PRDX2), and Haptoglobin (HP) are query proteins which were identified by mass spectrometry (MS) analysis
Summary
For proteome profiling in Low grade serous ovarian cancer, 2DE and mass spectrometry were used. Expressed proteins which had been determined in Low grade serous ovarian cancer and experimental group separately were integrated with PPI data to construct the (QQPPI) networks
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