Deciphering immune heterogeneity in lung adenocarcinoma via machine learning-based Differential Phenotype Immune Score: TPX2 as a key biomarker for immunotherapy resistance - PubMed
6 hours ago
- #immune heterogeneity
- #immunotherapy resistance
- #lung adenocarcinoma
- Identified three immune states in lung adenocarcinoma (LUAD): Wound Healing, IFN-γ Dominant, and Inflammatory subtypes.
- Developed a machine learning-based Differential Phenotype Immune Score (DPIS) to quantify immune-related phenotypic variation.
- DPIS stratified overall survival across multiple cohorts and was linked to highly proliferative malignant cells.
- TPX2 emerged as a key biomarker, linking proliferative signaling to immune suppression and immunotherapy resistance.
- Functional experiments showed TPX2 promotes tumor cell proliferation, migration, and resistance to apoptosis.
- DPIS provides a robust framework for immune stratification, with TPX2 as a potential therapeutic target.