03Nov 2023
Twelve Cell Death Patterns-Related Classification of the Immune Microenvironment and Prognosis Prediction of LUSC

Twelve Cell Death Patterns-Related Classification of the Immune Microenvironment and Prognosis Prediction of LUSC

This study aims to explore the immunological characteristics of lung squamous cell carcinoma (LUSC) patients who may benefit from immunotherapy. The research utilizes a machine-learning approach to analyze programmed cell death genes (PCDGs) and construct a risk model for LUSC. Key genes associated with LUSC prognosis are identified, and a risk function is developed to classify high- and low-risk groups. The study evaluates the intrinsic immune microenvironment, predicts immunotherapy efficacy, and builds a prognostic model for LUSC patients based on risk scores.

  • #oncology

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