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Decreased gene expression of antiangiogenic factors in endometrial cancer [Elektronski vir] : qPCR analysis and machine learning modellingRoškar, Luka ...Endometrial cancer (EC) is an increasing health concern, with its growth driven by an angiogenic switch that occurs early in cancer development. Our study used publicly available datasets to examine ... the expression of angiogenesis-related genes and proteins in EC tissues, and compared them with adjacent control tissues. We identified nine genes with significant differential expression and selected six additional antiangiogenic genes from prior research for validation on EC tissue in a cohort of 36 EC patients. Using machine learning, we built a prognostic model for EC, combining our data with The Cancer Genome Atlas (TCGA). Our results revealed a significant up-regulation of IL8 and LEP and down-regulation of eleven other genes in EC tissues. These genes showed differential expression in the early stages and lower grades of EC, and in patients without deep myometrial or lymphovascular invasion. Gene co-expressions were stronger in EC tissues, particularly those with lymphovascular invasion. We also found more extensive angiogenesis-related gene involvement in postmenopausal women. In conclusion, our findings suggest that angiogenesis in EC is predominantly driven by decreased antiangiogenic factor expression, particularly in EC with less favourable prognostic features. Our machine learning model effectively stratified EC based on gene expression, distinguishing between low and high-grade cases.Source: Cancers [Elektronski vir]. - ISSN 2072-6694 (Vol. 15, iss. 14, [article no.] 3661, 2023, str. 1-25)Type of material - e-article ; adult, seriousPublish date - 2023Language - englishCOBISS.SI-ID - 159457795
Author
Roškar, Luka |
Kokol, Marko, 1985- |
Pavlič, Renata |
Roškar, Irena, 1985- |
Smrkolj, Špela, 1971- |
Lanišnik-Rižner, Tea
Topics
endometrial cancer |
angiogenic factor |
tumour-adjacent tissue |
machine learning |
TCGA |
LEP |
rak endometrija |
angiogeni faktor |
tkivo ob tumorju |
strojno učenje |
TCGA |
LEP
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Database name | Field | Year |
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Links to authors' personal bibliographies | Links to information on researchers in the SICRIS system |
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Roškar, Luka | 52304 |
Kokol, Marko, 1985- | 39447 |
Pavlič, Renata | 38391 |
Roškar, Irena, 1985- | 36281 |
Smrkolj, Špela, 1971- | 21362 |
Lanišnik-Rižner, Tea | 11699 |
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