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Published on: September 25, 2018
Age-Associated Targetable Genomic Alterations and PD-L1 Expression in 2509 Patients With Pulmonary Ground-Glass
Wen-Fang Tang1, Si-Qi Huang1, Yi-Duo Lin1
1Guangdong Lung Cancer Institute, Guangdong Provincial Key Laboratory of Translational Medicine in Lung Cancer, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Southern Medical University, Guangzhou, China.
Pulmonary ground-glass opacities (GGOs) show distinct genomic alterations and programmed cell death ligand 1 (PD-L1) expression that vary with age. Understanding this age-related heterogeneity is key for developing tailored treatment strategies.
Area of Science:
- Oncology
- Genomics
- Pulmonary Medicine
Background:
- Pulmonary ground-glass opacities (GGOs) represent early-stage lung lesions.
- Genomic profiling and programmed cell death ligand 1 (PD-L1) expression are crucial for guiding lung cancer treatment.
- The impact of patient age on these molecular features in GGOs requires further investigation.
Purpose of the Study:
- To comprehensively analyze targetable genomic alterations and PD-L1 expression in GGOs.
- To investigate the association between these molecular features and patient age.
- To identify age-stratified patterns that may inform therapeutic strategies.
Main Methods:
- Retrospective analysis of 2509 patients with GGOs.
- Comparison of tumor characteristics, PD-L1 expression, and targetable alterations across different age groups.
- Statistical analysis to identify age as an independent predictor of molecular features.
Main Results:
- EGFR and ERBB2 mutations were common in GGOs, while KRAS mutations and ALK rearrangements were less frequent.
- Tumor mutational burden (TMB) and PD-L1 expression were generally low.
- Significant age-related trends were observed: EGFR, KRAS, MET mutations, TMB, and PD-L1 expression increased with age, whereas ERBB2, ALK, and RET alterations decreased with age, with an optimal age cutoff at 53 years.
Conclusions:
- GGOs display a unique genomic and PD-L1 profile that is significantly influenced by patient age.
- Age-dependent heterogeneity in molecular alterations and PD-L1 expression in GGOs provides critical insights.
- These findings support the development of age-stratified therapeutic approaches for GGOs.
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