Decreased Gene Expression of Antiangiogenic Factors in Endometrial Cancer: qPCR Analysis and Machine Learning Modelling

Decreased Gene Expression of Antiangiogenic Factors in Endometrial Cancer: qPCR Analysis and Machine Learning Modelling

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 adjac...

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Bibliographic Details
Main Authors: Luka Roškar, Marko Kokol, Renata Pavlič, Irena Roškar, Špela Smrkolj, Tea Lanišnik Rižner
Format: Article
Language:English
Published: MDPI AG 2023-07-01
Series:Cancers
Subjects:
endometrial cancer
angiogenic factor
tumour-adjacent tissue
machine learning
TCGA
LEP
Online Access:https://www.mdpi.com/2072-6694/15/14/3661

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