Proteome profiling of early-stage serous ovarian cancer

Haniyeh Bashi zadeh fakhar,1,* Hakimeh zali,2 Mostafa rezaee tavirany,3 Roya faraji,4

1. Department of Laboratory Science, Chalous branch, Islamic Azad University, Chalous, Iran
2. Proteomics Research Center, School of Advanced Technologies in Medicine, Shahid Beheshti University of Medical Sciences,
3. Proteomics Research Center, Shahid Beheshti University of Medical Sciences, Tehran, IR Iran
4. Reproductive Health Research Center, Department of Obstetrics and Gynecology, Guilan University of Medical Sciences, Ra

Abstract

Introduction

Background: serous carcinoma, the subtype of ovarian cancer have the highest occurrence and mortality in women. proteomic profiling using mass spectrometry (ms) has been used to detect biomarkers in tissue from patients with ovarian cancer. we, therefore, aimed to integrate interactome (protein-protein interaction (ppi)) and (ms) data to construct and analyze ppi networks for early stage serous ovarian cancer.

Methods

For proteome profiling in early stage serous ovarian cancer we used 2de and mass spectrometry. differentially expressed proteins which determined only in early stage serous ovarian cancer and experimental group separately integrated with ppi data to construct the query-query ppi (qqppi) networks. the networks were further analyzed.

Results

We found 6 hub-bottlenecks proteins with significant centrality values, based on centrality parameters of the network (degree and between),such as transgelin (tagln), keratin (krt14), single peptide match to actin, cytoplasmic 1(actb), apolipoprotein a-i (apoa1), peroxiredoxin-2 (prdx2), and haptoglobin (hp) .

Conclusion

This study showed these six proteins were introduced as hub-bottleneck protein, can be concluded that regulation of gene expression, can play a vital role in the pathology of early stage serous ovarian cancer.

Keywords

Proteome -profiling - early-stage serous ovarian cancer