Please use this identifier to cite or link to this item: 10.3390/medicina57101131
Title: Can We Predict Differentiated Thyroid Cancer Behavior? : Role of Genetic and Molecular Markers
Authors: Niciporuka, Rita
Nazarovs, Jurijs
Ozolins, Arturs
Narbuts, Zenons
Miklasevics, Edvins
Gardovskis, Janis
Department of Surgery
RSU Institute of Oncology
Keywords: Adenocarcinoma;Biomarkers, Tumor/genetics;Humans;Prognosis;Thyroid Neoplasms/diagnosis;Tumor Microenvironment;3.2 Clinical medicine;3.1 Basic medicine;1.1. Scientific article indexed in Web of Science and/or Scopus database;SDG 3 - Good Health and Well-being
Issue Date: 19-Oct-2021
Citation: Niciporuka , R , Nazarovs , J , Ozolins , A , Narbuts , Z , Miklasevics , E & Gardovskis , J 2021 , ' Can We Predict Differentiated Thyroid Cancer Behavior? Role of Genetic and Molecular Markers ' , Medicina (Kaunas, Lithuania) , vol. 57 , no. 10 , 1131 . https://doi.org/10.3390/medicina57101131
Abstract: Thyroid cancer is ranked in ninth place among all the newly diagnosed cancer cases in 2020. Differentiated thyroid cancer behavior can vary from indolent to extremely aggressive. Currently, predictions of cancer prognosis are mainly based on clinicopathological features, which are direct consequences of cell and tissue microenvironment alterations. These alterations include genetic changes, cell cycle disorders, estrogen receptor expression abnormalities, enhanced epithelial-mesenchymal transition, extracellular matrix degradation, increased hypoxia, and consecutive neovascularization. All these processes are represented by specific genetic and molecular markers, which can further predict thyroid cancer development, progression, and prognosis. In conclusion, evaluation of cancer genetic and molecular patterns, in addition to clinicopathological features, can contribute to the identification of patients with a potentially worse prognosis. It is essential since it plays a crucial role in decision-making regarding initial surgery, postoperative treatment, and follow-up. To date, there is a large diversity in methodologies used in different studies, frequently leading to contradictory results. To evaluate the true significance of predictive markers, more comparable studies should be conducted.
Description: Funding Information: Funding: This work was supported by Riga Stradins University Grant to Non-invasive diagnostic and predictive biomarkers for bladder tumor early diagnosis and prediction. Publisher Copyright: © 2021 by the authors. Licensee MDPI, Basel, Switzerland.
DOI: 10.3390/medicina57101131
ISSN: 1010-660X
Appears in Collections:Research outputs from Pure / Zinātniskās darbības rezultāti no ZDIS Pure

Files in This Item:


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.