Autor: |
Rendek, Tomas, Saade, Rami, Pos, Ondrej, Kolnikova, Georgina, Urbanova, Monika, Budis, Jaroslav, Mihok, Luboslav, Tomas, Miroslav, Szemes, Tomas, Repiska, Vanda |
Předmět: |
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Zdroj: |
Cancers; Mar2024, Vol. 16 Issue 6, p1128, 10p |
Abstrakt: |
Simple Summary: Identifying the mutation status of driver genes in patients with colorectal cancer is a standard clinical practice in oncology nowadays. Despite this, molecular biomarker data for CRC patients on a national level in Slovakia are limited. Our study analyzed 83 CRC patient tumor tissues from the National Cancer Institute (NCI) database, examining microsatellite instability (MSI), BRAF, KRAS/NRAS mutations, and neoplastic cell percentage. Results revealed 4 MSI-high samples, 39 KRAS/NRAS mutations, and 5 BRAF p.V600E mutations, with one case exhibiting all three markers. We explored relationships between biomarkers, their coexistence, and demographic factors. This research addresses the scarcity of molecular data in Slovakia's CRC landscape, contributing valuable insights into biomarker prevalence and interactions within the population. Slovakia has one of the highest rates of colorectal cancer among the developed countries, ranking as the second highest in the incidence of this disease for men worldwide. Despite the significant burden on both quality of life and the healthcare system this disease imposes, data on molecular analysis of biomarkers in CRC-diagnosed patients is scarce. In our study, we analyzed confirmed CRC patients from the database of the National Cancer Institute (NCI) and evaluated the presence of 4 biomarkers in tumor tissues. Altogether, 83 FFPE tumor tissues from CRC patients listed in the NCI database were analyzed for microsatellite instability status, presence of BRAF and KRAS/NRAS mutations, and neoplastic cell percentage in tissue samples. We identified 4 MSI-high samples, 39 KRAS/NRAS mutations, and 5 BRAF p.V600E mutations, with one case of coexistence of all three markers in a single tumor sample. We also evaluated possible relationships between biomarkers, their coexistence, and the age and sex of the studied population. [ABSTRACT FROM AUTHOR] |
Databáze: |
Complementary Index |
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