Leveraging Genomics, Transcriptomics, and Epigenomics to Understand the Biology and Chemoresistance of Ovarian Cancer

被引:14
|
作者
Munoz-Galvan, Sandra [1 ,2 ]
Carnero, Amancio [1 ,2 ]
机构
[1] Univ Seville, Hosp Univ Virgen del Rocio, Inst Biomed Sevilla, IBIS,CSIC, Avda Manuel Siurot S-N, Seville 41013, Spain
[2] Inst Salud Carlos III, CIBERONC, Madrid 28029, Spain
关键词
ovarian cancer; genomics; transcriptomic; epigenomics; chemoresistance; GRADE SEROUS CARCINOMA; SOMATIC MUTATIONS; PLATINUM-RESISTANCE; DNA METHYLATION; COPY NUMBER; SURVIVAL; GENES; CHEMOTHERAPY; MICROENVIRONMENT; HETEROGENEITY;
D O I
10.3390/cancers13164029
中图分类号
R73 [肿瘤学];
学科分类号
100214 ;
摘要
Simple Summary Ovarian cancer is the leading cause of death by a gynecological tumor, mainly due to its common detection in advanced stages and to its high resistance to conventional chemotherapy. The study of the molecular mechanisms leading to ovarian tumor progression and chemoresistance are thus a priority in oncological research. In recent years, omics technologies have allowed the study of new aspects of ovarian cancer biology from a global point of view. In this review, we aim to summarize the main findings reached by recent studies in ovarian cancer using genomic, transcriptomic, and epigenomic techniques and how they have improved our understanding of ovarian cancer biology and chemoresistance. Ovarian cancer is a major cause of fatality due to a gynecological malignancy. This lethality is largely due to the unspecific clinical manifestations of ovarian cancer, which lead to late detection and to high resistance to conventional therapies based on platinum. In recent years, we have advanced our understanding of the mechanisms provoking tumor relapse, and the advent of so-called omics technologies has provided exceptional tools to evaluate molecular mechanisms leading to therapy resistance in ovarian cancer. Here, we review the contribution of genomics, transcriptomics, and epigenomics techniques to our knowledge about the biology and molecular features of ovarian cancers, with a focus on therapy resistance. The use of these technologies to identify molecular markers and mechanisms leading to chemoresistance in these tumors is discussed, as well as potential further applications.
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页数:16
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