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Article

TG468: a text graph convolutional network for predicting clinical response to immune checkpoint inhibitor therapy.

Briefings in bioinformatics - 22 Jan 2024

Wang Kun, Shi Jiangshan, Tong Xiaochu, Qu Ning, Kong Xiangtai, Ni Shengkun, Xing Jing, Li Xutong, Zheng Mingyue

Abstract excerpt

Enhancing cancer treatment efficacy remains a significant challenge in human health. Immunotherapy has witnessed considerable success in recent years as a treatment for tumors. However, due to the heterogeneity of diseases, only a fraction of patients exhibit a positive response to immune checkpoint inhibitor (ICI) therapy. Various single-gene-based biomarkers and tumor mutational burden (TMB) have been proposed...

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Identifiers

PMID: 38390990
DOI: 10.1093/bib/bbae017
PMCID: PMC10886443

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 7 Sept 2026. Manifest publication-graph-cohort-2026-09-08.1.

Source receipt: pubmed, retrieved 7 Sept 2026.

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