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KMID : 1141520230380050463
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Endocrinology and Metabolism
2023 Volume.38 No. 5 p.463 ~ p.471
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Multiomics Approach to Acromegaly: Unveiling Translational Insights for Precision Medicine
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Kim Kyung-Won
Ku Cheol-Ryong
Lee Eun-Jig
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Abstract
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The clinical characteristics and prognoses of acromegaly vary among patients. Assessment of current and novel predictors can lead to multilevel categorization of patients, allowing integration into new clinical guidelines and a reduction in the increased morbidity and mortality associated with acromegaly. Despite advances in the diagnosis and treatment of acromegaly, its pathophysiology remains unclear. Recent advancements in multiomics technologies, including genomics, transcriptomics, proteomics, metabolomics, and radiomics, have offered new opportunities to unravel the complex pathophysiology of acromegaly. This review comprehensively explores the emerging role of multiomics approaches in elucidating the molecular landscape of acromegaly. We discuss the potential implications of multiomics data integration in the development of novel diagnostic tools, identification of therapeutic targets, and the prospects of precision medicine in acromegaly management. By integrating diverse omics datasets, these approaches can provide valuable insights into disease mechanisms, facilitate the identification of diagnostic biomarkers, and identify potential therapeutic targets for precision medicine in the management of acromegaly.
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KEYWORD
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Acromegaly, Growth hormone-secreting pituitary tumors, Multiomics
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