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Title:Integrirani molekularni tkivni označevalci : matematični model v pristopu k oceni in predvidevanju raka prostate s tkivnimi molekularnimi označevalci
Authors:ID Munda, Miha (Author)
Files:.pdf RAZ_Munda_Miha_2024.pdf (232,75 KB)
MD5: 1CDD26933D5D0E02D97463748253E4D1
 
URL https://doi.org/10.18690/actabiomed.279
 
URL https://journals.um.si/index.php/amb/article/view/4761
 
Language:English
Work type:Scientific work
Typology:1.01 - Original Scientific Article
Organization:MF - Faculty of Medicine
Abstract:Standardni kriteriji za diagnozo raka prostate mnogokrat niso zadostni, da bi predvideli potek in izhod te pogoste bolezni. Vrednotenje molekularnih tkivnih označevalcev, še posebej tistih, ki označujejo apoptozo in proliferacijo, integrirani v matematični model, lahko pridonese k boljšemu razumevanju razvoja in patogeneze te bolezni; nadalje tudi k izboru oz. določitvi adekvatne terapije in bi odprlo tudi nove perspektive v iskanju novih terapij.
Keywords:matematični model, rak prostate, tkivni označevalec, p53, bcl-2, CD105, mathematical model, prostate cancer, tissue marker, p53, bcl-2, CD105
Publication status:Published
Publication version:Version of Record
Article acceptance date:06.11.2024
Publication date:05.12.2024
Publisher:MF UM
Year of publishing:2024
Number of pages:str. 42-50
Numbering:Letn. 17, št. 2
PID:20.500.12556/DKUM-91699 New window
UDC:611
ISSN on article:1855-5640
COBISS.SI-ID:220451331 New window
DOI:10.18690/actabiomed.279 New window
Publication date in DKUM:28.01.2025
Views:169
Downloads:25
Metadata:XML DC-XML DC-RDF
Categories:Misc.
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Record is a part of a journal

Title:Acta medico-biotechnica : AMB
Publisher:Medicinska fakulteta, Medicinska fakulteta, Univerzitetna založba Univerze v Mariboru
ISSN:1855-5640
COBISS.SI-ID:242526720 New window

Secondary language

Language:Slovenian
Title:Molecular tissue markers integrated : A mathematical model approach to evaluating and predicting prostate cancer using molecular tissue markers
Abstract:The standard criteria available for the diagnosis of prostate cancer often do not sufficiently predict the course or outcome of this common disease. Evaluating molecular tissue markers, especially those that mark apoptosis and proliferation, in an integrated mathematical model, could contribute to a better understanding of the development and pathogenesis of this disease, aid in the selection of adequate therapies, and open new avenues of therapeutic research.
Keywords:mathematical model, prostate cancer, tissue marker, p53, bcl-2, CD105


Collection

This document is a part of these collections:
  1. Acta medico-biotechnica

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