Integration of multi-omics and machine learning to identify core genes in PANoptosisof lung adenocarcinoma and their mechanisms in the tumor microenvironment and therapeutic potential.

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Title: Integration of multi-omics and machine learning to identify core genes in PANoptosisof lung adenocarcinoma and their mechanisms in the tumor microenvironment and therapeutic potential.
Authors: Chen Z; Department of Respiratory and Critical Care Medicine, Qionglai Hospital of Traditional Chinese Medicine , Qionglai City, Sichuan Province, China.; Department of Respiratory and Critical Care Medicine, Anyue County People's Hospital, Ziyang City, Sichuan Province, China., Deng X; Cardiovascular Medicine, Anyue County People's Hospital, Ziyang City, Sichuan Province, China., Yu Y; Department of Respiratory and Critical Care Medicine, Anyue County People's Hospital, Ziyang City, Sichuan Province, China., Zhang T; Department of Rehabilitation Medicine, Suining Central Hospital, Suining City, Sichuan Province, China. 18382442787@163.com., Liu C; Department of Rehabilitation Medicine, Suining Central Hospital, Suining City, Sichuan Province, China. 15828875683@163.com.
Source: Naunyn-Schmiedeberg's archives of pharmacology [Naunyn Schmiedebergs Arch Pharmacol] 2026 Jun; Vol. 399 (9), pp. 13873-13893. Date of Electronic Publication: 2026 Apr 05.
Publication Type: Journal Article
Journal Info: Publisher: Springer Verlag Country of Publication: Germany NLM ID: 0326264 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1432-1912 (Electronic) Linking ISSN: 00281298 NLM ISO Abbreviation: Naunyn Schmiedebergs Arch Pharmacol Subsets: MEDLINE
Database: MEDLINE Ultimate
Description
ISSN:1432-1912
DOI:10.1007/s00210-026-05251-7