Publication:
Overview of omics biomarkers in pituitary neuroendocrine tumors to design future diagnosis and treatment strategies

dc.contributor.authorARĞA, KAZIM YALÇIN
dc.contributor.authorsAydin, Busra; Caliskan, Aysegul; Arga, Kazim Yalcin
dc.date.accessioned2022-03-10T15:25:45Z
dc.date.accessioned2026-01-11T10:41:28Z
dc.date.available2022-03-10T15:25:45Z
dc.date.issued2021
dc.description.abstractPituitary neuroendocrine tumors (PitNETs) are the second most common type of intracranial neoplasia. Since their manifestation usually causes hormone hypersecretion, effective management of PitNETs is indisputably necessary. Most of the non-functioning PitNETs pose a real challenge in diagnosis as they grow without giving any signs. Despite the good response of prolactinomas to dopamine agonist therapy, some of these tumors persist or recur; also, about 20% are resistant and 10% behave aggressively. The silent corticotropinomas may not cause symptoms until the tumor mass causes a complication. In somatotropinomas, the possibility of recurrence after transsphenoidal resection is more common in pediatric patients than in adult patients. Therefore, detection of tumors at early stages or identification of recurrence and remission after transsphenoidal surgery would allow wiser management of the disease. Extensive studies have been performed to uncover potential signatures that can be used for preventive diagnosis and/or prognosis of PitNETs as well as for targeted therapy. These molecular signatures at multiple biological levels hold promise for the convergence of preventive approaches and patient-centered disease management and offer potential therapeutic strategies. In this review, we provide an overview of the omics-based biomarker research and highlight the multi-omics signatures that have been proposed as pitNET biomarkers. In addition, understanding the multi-omics data integration of current biomarker discovery strategies was discussed in terms of preventive, predictive, and personalized medicine. The topics discussed in this review will help to develop broader visions for pitNET research, diagnosis, and therapy, particularly in the context of personalized medicine.
dc.identifier.doi10.1007/s13167-021-00246-1
dc.identifier.eissn1878-5085
dc.identifier.issn1878-5077
dc.identifier.pubmed34567287
dc.identifier.urihttps://hdl.handle.net/11424/220351
dc.identifier.wosWOS:000666821500001
dc.language.isoeng
dc.publisherSPRINGER INTERNATIONAL PUBLISHING AG
dc.relation.ispartofEPMA JOURNAL
dc.rightsinfo:eu-repo/semantics/closedAccess
dc.subjectPituitary neuroendocrine tumors
dc.subjectPituitary adenoma
dc.subjectPredictive preventive personalized medicine
dc.subjectBiomarkers
dc.subjectMulti-omics data integration
dc.subjectOmics biomarkers
dc.subjectGENE-EXPRESSION
dc.subjectDNA METHYLATION
dc.subjectPERSONALIZED MEDICINE
dc.subjectQUANTITATIVE-ANALYSIS
dc.subjectDOWN-REGULATION
dc.subjectPOSITION PAPER
dc.subjectADENOMAS
dc.subjectIDENTIFICATION
dc.subjectPROTEOMICS
dc.subjectINVASION
dc.titleOverview of omics biomarkers in pituitary neuroendocrine tumors to design future diagnosis and treatment strategies
dc.typereview
dspace.entity.typePublication
oaire.citation.endPage401
oaire.citation.issue3
oaire.citation.startPage383
oaire.citation.titleEPMA JOURNAL
oaire.citation.volume12

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