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Harnessing Machine Learning and Multiomics to Construct a Tumor-Specific T Cell Signature for Prognostic Assessment and Precision Medicine in Lung Adenocarcinoma

Crossref DOI link: https://doi.org/10.1245/s10434-025-18330-5

Published Online: 2025-09-22

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

Authors

Shang, Fumei

Huang, Mudan

Ji, Ye

Zhang, Siping

Fan, Chunhui

Zhang, Kai

Fang, Yifei

Li, Xu

Gu, Lichao

Guan, Zhonghua

Jiang, Juanjuan
Funding

Funding for this research was provided by:

Henan Provincial Science and Technology Research Project (242102310122)

Nanyang Basic and Frontier Technology Research Project (23JCQY2041)
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Text and Data Mining valid from 2025-09-22

Version of Record valid from 2025-09-22
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Article History

Received: 9 July 2025

Accepted: 28 August 2025

First Online: 22 September 2025

Disclosure

: The authors have no potential conflicts of interest to disclose.

: The study was conducted in accordance with the Declaration of Helsinki, and the protocol was approved by the Ethics Committee of Nanyang Central Hospital (approval no. 20200901015).

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