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Explainable AI reveals squamous histology and U-shaped PD-L1 patterns as primary subgroup predictors of neoadjuvant and perioperative immunotherapy benefit in NSCLC: a machine learning analysis

Crossref DOI link: https://doi.org/10.1007/s00262-026-04450-8

Published Online: 2026-06-06

Update policy: https://doi.org/10.1007/springer_crossmark_policy

Authors

Shen, Fangfang

Zhu, Zheqing

Liu, Junge

Li, Feng
Funding

Funding for this research was provided by:

Shanxi Key Laboratory of Tumor Organoids (202504010931054)
License Information

Text and Data Mining valid from 2026-06-06

Accepted Manuscript valid from 2026-06-06
More Information

Article History

Received: 23 April 2026

Accepted: 26 May 2026

First Online: 6 June 2026

Declarations

:

: The authors declare that they have no conflict of interest.

: Not applicable.

: Not applicable. This study was based on the synthesis of publicly available, aggregate-level statistics from previously published and ethically approved clinical trials. No individual patient data were directly accessed or utilized; therefore, additional ethics committee approval and patient consent were not required.

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