Integrated proteomics and transcriptomics identified novel potential prognostic biomarkers in ovarian cancer

L.X. Chen; J. Qian; Z. Wang; X.L. Cong; J. Ma

doi:10.54517/jbrha4483

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Integrated proteomics and transcriptomics identified novel potential prognostic biomarkers in ovarian cancer

L.X. Chen, J. Qian, Z. Wang, X.L. Cong, J. Ma

Article ID: 4483
Vol 35, Issue 6, 2021

DOI: https://doi.org/10.54517/jbrha4483

Received: 8 January 2022; Accepted: 8 January 2022; Available online: 8 January 2022; Issue release: 8 January 2022

Abstract

Ovarian cancer (OC) has been regarded as the most malignant gynecological neoplasm and leading mor-tality-causing cancer in females worldwide. It has a high fatality rate and is difficult to be detected early. Theclassification of OC has drawn the attention of numerous researchers, while the difference between layerclassification is still unclear. This study explored the common genes between proteomics and transcriptomicsand the potential mechanism related to layer classification. Our results provide several potential biomarkersin the early diagnosis of ovarian cancer. We identified 962 differentially expressed mRNA (DEGs) and 544differentially expressed proteins (DEPs). The comprehensive analysis of the two omics found that the proteinsin the MAPK pathway showed corresponding changes in ovarian cancer progression. Furthermore, CD14and MECOM were up regulated in OC and higher in the advanced OC than in the early stage. In conclusion,our research provided 2 potential early prognostic biomarkers for OC

Keywords

ovarian cancer;transcriptomics;proteomics;CD14;MECOM

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Medical Genetics, University of Torino Medical School, Italy

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Department of Biomedical, Surgical and Dental Sciences, University of Milan, Italy

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