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Article

Predicting therapeutic response to neoadjuvant immunotherapy based on an integration model in resectable stage IIIA (N2) non-small cell lung cancer.

The Journal of thoracic and cardiovascular surgery - 1 Jan 2025

Xu Long, Si Haojie, Zhuang Fenghui, Li Chongwu, Zhang Lei, Zhao Yue, Chen Tao, Dong Yichen, Wang Tingting, Hou Likun, Hu Tao, Sun Tianlin, She Yunlang, Hu Xuefei, Xie Dong, Wu Junqi, Wu Chunyan, Zhao Deping, Chen Chang

Abstract excerpt

OBJECTIVE: Accurately predicting response during neoadjuvant chemoimmunotherapy for resectable non-small cell lung cancer remains clinically challenging. In this study, we investigated the effectiveness of blood-based tumor mutational burden (bTMB) and a deep learning (DL) model in predicting major pathologic response (MPR) and survival from a phase 2 trial. METHODS: Blood samples were prospectively collected...

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Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

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Identifiers

PMID: 38763304
DOI: 10.1016/j.jtcvs.2024.05.006

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 7 Sept 2026. Manifest publication-graph-cohort-2026-09-07.1.

Source receipt: pubmed, retrieved 7 Sept 2026.

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