PathHDNN: a pathway hierarchical-informed deep neural network framework for predicting immunotherapy response and mechanism interpretation.

ABSTRACT:

Background

Immunotherapy has revolutionized the treatment of cancer and tremendously prolonged the overall survival of patients; however, only parts of patients could derive durable clinical benefit from it. Predicting clinical responses to immunotherapy and interpreting the response mechanism remain major challenges.

Methods

Here, we presented a pathway hierarchical-informed deep neural network (PathHDNN) framework to predict the therapeutic responses of cancer patients and identify key pathways associated with immunotherapy efficacy. PathHDNN was trained by encoding established biological pathway hierarchically knowledge into a neural network architecture through embedding the somatic mutations and copy number variations. During training, PathHDNN optimized only the edge w

SUBMITTER: Li X 

PROVIDER: S-EPMC12729056 | biostudies-literature | 2025 Dec

REPOSITORIES: biostudies-literature