Integrated Genomic Analysis of Lung Squamous Cell Carcinoma Subtypes Characterized by Immunogenic Cell Death-Relevant Gene Signature
Year: 2025
Type: article
Abstract: Purpose: The objective of this study was to identify biomarkers associated with immunogenic cell death (ICD) in lung squamous cell carcinoma (LUSC), focusing on subtypes with distinct immunological characteristics and prognosis. Given the heterogeneous nature of LUSC, understanding ICD's role is crucial for developing tailored therapeutic strategies. Patients and Methods: RNA sequencing data from 504 LUSC samples were analyzed using unsupervised clustering to identify ICD-related gene expression patterns. These patterns were linked to immune scores, immune cell infiltration, and clinical outcomes. A separate dataset was used to validate the association between ICD-related subtypes and immunotherapy efficacy. Results: Unsupervised clustering revealed two distinct ICD-related subtypes with significantly different immune scores, immune cell infiltration levels, and prognosis. A prognostic model was developed based on differentially expressed ICD-related genes, which demonstrated strong predictive power for patient survival and immune response. This model may offer valuable insights for clinical decision-making, particularly for immunotherapy strategies. Conclusion: This study identified key ICD-related biomarkers and developed a prognostic model that can enhance our understanding of ICD in LUSC, ultimately guiding personalized treatment approaches.
Source: OncoTargets and Therapy
DOI: 10.2147/ott.s503419
Language: English
Subfield: Oncology
Field: Medicine
Domain: Health Sciences
Open Access status: gold
Estimated APC paid: $2,836
Funder: Yuhan
OpenAlex ID: W4409328567
