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Institutional Repository of Vilnius University

Molekuliniai ir klinikiniai inkstų vėžio prognozės rodikliai /

Abstract

dc:description

The study provides scientifically based information about the oncological safety of active surveillance of small kidney tumors. It identifies the prognostic factors of aggressive kidney cancer that can help the urologist choose the right treatment tactics.The work evaluated the predictive value of epigenetic markers in determining aggressive forms of kidney cancer and predicting rapid tumor growth.To our knowledge, this study is the first to analyze DNA methylation in urine samples from patients with small renal tumors and demonstrates its potential as a non-invasive tool for the detection of small (up to 4 cm in diameter) malignancies. According to our available data, studies that evaluated the influence of clinical data such as obesity, smoking, elevated arterial blood pressure, metabolic syndrome, dyslipidemia, or the psychoemotional state of the patient on the progression of small, observed kidney tumors, i.e. for rapid tumor growth, have not been performed so far. Based on the fact that Lithuania has one of the highest rates of incidence and mortality of kidney cancer in Europe, it is necessary to evaluate the effectiveness of systemic treatment in patients with advanced kidney cancer.

Degree

thesis:*
Grantor dc:publisher
Institutional Repository of Vilnius University
Year dc:date
2024

Author and committee

dc:creator, dc:contributor.*
Author dc:creator
  • Žalimas, Algirdas,

Subjects

dc:subject × 1

Rights

dc:rights
Statement dc:rights
  • info:eu-repo/semantics/openAccess
Language dc:language
lit

Identifiers

dc:identifier.*
OAI identifier oai:identifier
oai:vu.lt:elaba:208985430

Chain of custody

source
Harvested from
Vilnius University
Base URL
epublications.vu.lt/oai
Last updated
2026-07-24
Source record
OAI-PMH GetRecord
citation

Žalimas, Algirdas,. Molekuliniai ir klinikiniai inkstų vėžio prognozės rodikliai /. Institutional Repository of Vilnius University, 2024. https://repository.vu.lt/VU:ELABAETD208985430&prefLang=en_US