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

被引：12

作者：

Ye, Miaomiao ^{[1
]}

Lin, Yibin ^{[1
]}

Pan, Shuya ^{[1
]}

Wang, Zhi-wei ^{[1
]}

Zhu, Xueqiong ^{[1
]}

机构：

[1] Wenzhou Med Univ, Affiliated Hosp 2, Dept Obstet & Gynecol, Ctr Uterine Canc Diag & Therapy Res Zhejiang Prov, Wenzhou, Peoples R China

来源：

FRONTIERS IN ONCOLOGY | 2021年 / 11卷

关键词：

ovarian cancer; systems biology; genomics; transcriptomics; proteomics; metabolomics; multi-omics; LONG NONCODING RNA; MICRORNA EXPRESSION PROFILES; INTEGRATIVE GENOMIC ANALYSIS; MICROARRAY-BASED DETECTION; PREDICTS POOR-PROGNOSIS; CANCER CELL-LINES; PACLITAXEL RESISTANCE; DISEASE PROGRESSION; PROTEOMICS ANALYSIS; THERAPEUTIC TARGET;

D O I：

10.3389/fonc.2021.745808

中图分类号：

R73 [肿瘤学];

学科分类号：

100214 ;

摘要：

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.

引用

页数：19

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