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RNA-based ovarian cancer research from 'a gene to systems biomedicine' perspective

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dc.contributor.authorARĞA, KAZIM YALÇIN
dc.contributor.authorsGov, Esra; Kori, Medi; Arga, Kazim Yalcin
dc.date.accessioned2022-03-10T11:38:30Z
dc.date.available2022-03-10T11:38:30Z
dc.date.issued2017-07-04
dc.description.abstractOvarian cancer remains the leading cause of death from a gynecologic malignancy, and treatment of this disease is harder than any other type of female reproductive cancer. Improvements in the diagnosis and development of novel and effective treatment strategies for complex pathophysiologies, such as ovarian cancer, require a better understanding of disease emergence and mechanisms of progression through systems medicine approaches. RNA-level analyses generate new information that can help in understanding the mechanisms behind disease pathogenesis, to identify new biomarkers and therapeutic targets and in new drug discovery. Whole RNA sequencing and coding and non-coding RNA expression array datasets have shed light on the mechanisms underlying disease progression and have identified mRNAs, miRNAs, and lncRNAs involved in ovarian cancer progression. In addition, the results from these analyses indicate that various signalling pathways and biological processes are associated with ovarian cancer. Here, we present a comprehensive literature review on RNA-based ovarian cancer research and highlight the benefits of integrative approaches within the systems biomedicine concept for future ovarian cancer research. We invite the ovarian cancer and systems biomedicine research fields to join forces to achieve the interdisciplinary caliber and rigor required to find real-life solutions to common, devastating, and complex diseases such as ovarian cancer.Abbreviations: CAF: cancer-associated fibroblasts
dc.description.abstractCOG: Cluster of Orthologous Groups
dc.description.abstractDEA: disease enrichment analysis
dc.description.abstractEOC: epithelial ovarian carcinoma
dc.description.abstractESCC: oesophageal squamous cell carcinoma
dc.description.abstractGSI: gamma secretase inhibitor
dc.description.abstractGO: Gene Ontology
dc.description.abstractGSEA: gene set enrichment analyzes
dc.description.abstractHAS: Hungarian Academy of Sciences
dc.description.abstractlncRNAs: long non-coding RNAs
dc.description.abstractMAPK/ERK: mitogen-activated protein kinase/extracellular signal-regulated kinases
dc.description.abstractNGS: next-generation sequencing
dc.description.abstractncRNAs: non-coding RNAs
dc.description.abstractOvC: ovarian cancer
dc.description.abstractPI3K/Akt/mTOR: phosphatidylinositol-3-kinase/protein kinase B/mammalian target of rapamycin
dc.description.abstractRT-PCR: real-time polymerase chain reaction
dc.description.abstractSNP: single nucleotide polymorphism
dc.description.abstractTF: transcription factor
dc.description.abstractTGF-: transforming growth factor-
dc.identifier.doi10.1080/19396368.2017.1330368
dc.identifier.eissn1939-6376
dc.identifier.issn1939-6368
dc.identifier.pubmed28574782
dc.identifier.urihttps://hdl.handle.net/11424/219740
dc.identifier.wosWOS:000403920300001
dc.language.isoeng
dc.publisherTAYLOR & FRANCIS INC
dc.relation.ispartofSYSTEMS BIOLOGY IN REPRODUCTIVE MEDICINE
dc.rightsinfo:eu-repo/semantics/openAccess
dc.subjectNon-coding RNAs
dc.subjectovarian cancer
dc.subjectsystems biomedicine
dc.subjecttranscriptome
dc.subjectLONG NONCODING RNA
dc.subjectDIFFERENTIALLY EXPRESSED GENES
dc.subjectPROTEIN-INTERACTION NETWORKS
dc.subjectWNT/BETA-CATENIN PATHWAY
dc.subjectPREDICTS POOR-PROGNOSIS
dc.subjectTRANSCRIPTIONAL REGULATION
dc.subjectCISPLATIN RESISTANCE
dc.subjectMICRORNA REGULATION
dc.subjectTHERAPEUTIC TARGET
dc.subjectMETABOLIC NETWORK
dc.titleRNA-based ovarian cancer research from 'a gene to systems biomedicine' perspective
dc.typereview
dspace.entity.typePublication
local.avesis.idb99c3a65-fb83-473a-94c0-397e6913c7b9
local.import.packageSS4
local.indexed.atWOS
local.indexed.atSCOPUS
local.indexed.atPUBMED
local.journal.numberofpages20
local.journal.quartileQ4
oaire.citation.endPage238
oaire.citation.issue4
oaire.citation.startPage219
oaire.citation.titleSYSTEMS BIOLOGY IN REPRODUCTIVE MEDICINE
oaire.citation.volume63
relation.isAuthorOfPublication3582c2d4-7fbb-4db7-8e90-75613782b894
relation.isAuthorOfPublication.latestForDiscovery3582c2d4-7fbb-4db7-8e90-75613782b894

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