Evaluating the predictive value of angiogenesis-related genes for prognosis and immunotherapy response in prostate adenocarcinoma using machine learning and experimental approaches

BackgroundAngiogenesis, the process of forming new blood vessels from pre-existing ones, plays a crucial role in the development and advancement of cancer. Although blocking angiogenesis has shown success in treating different types of solid tumors, its relevance in prostate adenocarcinoma (PRAD) ha...

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Bibliographic Details

Published in:	Frontiers in Immunology
Main Authors:	YaXuan Wang, JiaXing He, QingYun Zhao, Ji Bo, Yu Zhou, HaoDong Sun, BeiChen Ding, MingHua Ren
Format:	Article
Language:	English
Published:	Frontiers Media S.A. 2024-05-01
Subjects:	prognosis angiogenesis machine learning PRAD biomarker
Online Access:	https://www.frontiersin.org/articles/10.3389/fimmu.2024.1416914/full