IDH-mutant glioma risk stratification via whole slide images: Identifying pathological feature associations
Year: 2024
Type: article
Study design: Observational Study
Abstract: This article aims to develop and validate a pathological prognostic model for predicting prognosis in patients with isocitrate dehydrogenase (IDH)-mutant gliomas and reveal the biological underpinning of the prognostic pathological features. The pathomic model was constructed based on whole slide images (WSIs) from a training set ( N = 486) and evaluated on internal validation set ( N = 209), HPPH validation set ( N = 54), and TCGA validation set ( N = 352). Biological implications of PathScore and individual pathomic features were identified by pathogenomics set ( N = 100). The WSI-based pathological signature was an independent prognostic factor. Incorporating the pathological features into a clinical model resulted in a pathological-clinical model that predicted survival better than either the pathological model or clinical model alone. Ten categories of pathways (metabolism, proliferation, immunity, DNA damage response, disease, migrate, protein modification, synapse, transcription and translation, and complex cellular functions) were significantly correlated with the WSI-based pathological features.
Source: iScience
Authors: Xiaotao Wang, Zilong Wang, Weiwei Wang, Zaoqu Liu, Zeyu Ma, Yang Guo, Dingyuan Su, Qiuchang Sun, Dongling Pei, Wenchao Duan, Yuning Qiu, Minkai Wang, Yongqiang Yang, Wenyuan Li, Haoran Liu, Caoyuan Ma, Miaomiao Yu, Yinhui Yu, Te Chen, Jing Fu, Sen Li, Bin Yu, Yuchen Ji, Wencai Li, Dongming Yan, Xianzhi Liu, Zhi-Cheng Li, Zhenyu Zhang
Institutions: First Affiliated Hospital of Zhengzhou University, Chinese Academy of Medical Sciences & Peking Union Medical College, Institute of Basic Medical Sciences of the Chinese Academy of Medical Sciences, Henan Provincial People's Hospital, Chinese Academy of Sciences, Shenzhen Institutes of Advanced Technology
Language: English
Subfield: Oncology
Field: Medicine
Domain: Health Sciences
Open Access status: gold
Estimated APC paid: $3,150
OpenAlex ID: W4405455270