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Applications of Multi-omics Approaches for Exploring the Molecular Mechanism of Ovarian Carcinogenesis

Miaomiao Ye, Yibin Lin, Shuya Pan, Zhiwei Wang, Xueqiong Zhu

2021Frontiers in Oncology19 citationsDOIOpen Access PDF

Abstract

Ovarian cancer ranks as the fifth most common cause of cancer-related death in females. The molecular mechanisms of ovarian carcinogenesis need to be explored in order to identify effective clinical therapies for ovarian cancer. Recently, multi-omics approaches have been applied to determine the mechanisms of ovarian oncogenesis at genomics (DNA), transcriptomics (RNA), proteomics (proteins), and metabolomics (metabolites) levels. Multi-omics approaches can identify some diagnostic and prognostic biomarkers and therapeutic targets for ovarian cancer, and these molecular signatures are beneficial for clarifying the development and progression of ovarian cancer. Moreover, the discovery of molecular signatures and targeted therapy strategies could noticeably improve the prognosis of ovarian cancer patients.

Topics & Concepts

Ovarian cancerOmicsCarcinogenesisMetabolomicsProteomicsMechanism (biology)BioinformaticsGenomicsCancerComputational biologyTranscriptomeBiologyMedicineInternal medicineGenomeGeneGeneticsGene expressionEpistemologyPhilosophyMolecular Biology Techniques and ApplicationsGene expression and cancer classificationAdvanced Biosensing Techniques and Applications
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