Identification of potential diagnostic targets and therapeutic strategies for anoikis-related biomarkers in lung squamous cell carcinoma using machine learning and computational virtual screening

Identification of potential diagnostic targets and therapeutic strategies for anoikis-related biomarkers in lung squamous cell carcinoma using machine learning and computational virtual screening

ObjectiveLung squamous cell carcinoma (LUSC) is a common subtype of non-small cell lung cancer (NSCLC) characterized by high invasiveness, high metastatic potential, and drug resistance, resulting in poor patient prognosis. Anoikis, a specific form of apoptosis triggered by cell detachment from the...

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Bibliographic Details
Main Authors: Xin Zhang, Jing Zou, Jinghua Ning, Yanhong Zhao, Run Qu, Yuzhe Zhang
Format: Article
Language:English
Published: Frontiers Media S.A. 2025-02-01
Series:Frontiers in Pharmacology
Subjects:
lung squamous cell carcinoma
anoikis
CSNK2A1
virtual screening
machine learning
Online Access:https://www.frontiersin.org/articles/10.3389/fphar.2025.1500968/full
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