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Keywords = TK 210 ELISA

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18 pages, 3778 KB  
Article
A Dual Biomarker TK1 Protein and CA125 or HE4-Based Algorithm as a Better Diagnostic Tool than ROMA Index in Early Detection of Ovarian Cancer
by Diana Cviič, Kiran Jagarlamudi, Leon Meglič, Erik Škof, Andrej Zore, David Lukanović, Staffan Eriksson and Joško Osredkar
Cancers 2023, 15(5), 1593; https://doi.org/10.3390/cancers15051593 - 3 Mar 2023
Cited by 15 | Viewed by 4422
Abstract
Background: The early detection of ovarian cancer is presently not effective, and it is crucial to establish biomarkers for the early diagnosis of ovarian cancer to improve the survival of patients. Materials and methods: The aim of this study was to investigate the [...] Read more.
Background: The early detection of ovarian cancer is presently not effective, and it is crucial to establish biomarkers for the early diagnosis of ovarian cancer to improve the survival of patients. Materials and methods: The aim of this study was to investigate the role of thymidine kinase 1 (TK1) in combination with CA 125 or HE4 to serve as a potential diagnostic biomarkers for ovarian cancer. In this study, a set of 198 serum samples consisting of 134 ovarian tumor patients and 64 healthy age-matched controls were analyzed. The TK1 protein levels in serum samples were determined using the AroCell TK 210 ELISA. Results: A combination of TK1 protein with CA 125 or HE4 showed better performance than either of them alone in the differentiation of early stage ovarian cancer from the healthy control group, but also a significantly better performance than the ROMA index. However, this was not observed using a TK1 activity test in combination with the other markers. Furthermore, the combination of TK1 protein and CA 125 or HE4 could differentiate early stage disease (stage I, II) more efficiently from advanced-stage (stage III, IV) disease (p < 0.0001). Conclusions: The combination of TK1 protein with CA 125 or HE4 increased the potential of detecting ovarian cancer at early stages. Full article
(This article belongs to the Topic Biomarker Development and Application)
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