Integrating differential gene expression and Mendelian randomization analyses reveal novel gene for prognosis, immune response, and drug sensitivity in lung cancer

To integrate transcriptomic and genomic data to identify lung cancer biomarkers, evaluate their prognostic significance, and explore their potential in guiding personalized therapy.

Saved in:

Bibliographic Details
Main Authors:	Li, Ming (Author) , Tang, Wei (Author) , Li, Linlin (Author) , Le, Van Manh H. (Author) , Zhang, Hanqing (Author) , Zhao, Hanchen (Author) , Lin, Ziao (Author) , Han, Yi (Author)
Format:	Article (Journal)
Language:	English
Published:	19 December 2025
In:	Discover oncology Year: 2025, Volume: 17, Pages: 1-18
ISSN:	2730-6011
DOI:	10.1007/s12672-025-04277-2
Online Access:	Verlag, kostenfrei, Volltext: https://doi.org/10.1007/s12672-025-04277-2
Author Notes:	Ming Li, Wei Tang, Linlin Li, Van Manh Hung Le, Hanqing Zhang, Hanchen Zhao, Ziao Lin, Yi Han

Description
Summary:	To integrate transcriptomic and genomic data to identify lung cancer biomarkers, evaluate their prognostic significance, and explore their potential in guiding personalized therapy.
Item Description:	Gesehen am 28.04.2026
Physical Description:	Online Resource
ISSN:	2730-6011
DOI:	10.1007/s12672-025-04277-2