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Published on: April 11, 2018
Potentially Functional Variants of ATG16L2 Predict Radiation Pneumonitis and Outcomes in Patients with Non-Small Cell
Juyi Wen1, Hongliang Liu2, Lili Wang2
1Department of Radiation Oncology, Navy General Hospital, Beijing, People's Republic of China; Department of Radiation Oncology, The University of Texas M. D. Anderson Cancer Center, Houston, Texas.
Genetic variants in autophagy-related genes influence cancer outcomes. A specific variant in ATG16L2 (rs10898880) may predict radiation pneumonitis and survival in non-small cell lung cancer patients.
Area of Science:
- Oncology
- Genetics
- Radiotherapy
Background:
- Autophagy is crucial in cancer progression and inflammatory responses.
- Limited research exists on autophagy gene variants and their impact on non-small cell lung cancer (NSCLC) patients undergoing radiotherapy.
Purpose of the Study:
- To investigate the association between functional genetic variants of autophagy-related genes and radiation pneumonitis (RP) and clinical outcomes in NSCLC patients.
- To assess the predictive value of single-nucleotide polymorphisms (SNPs) in autophagy genes for RP, local recurrence-free survival (LRFS), progression-free survival (PFS), and overall survival (OS).
Main Methods:
- Genotyping of nine potentially functional SNPs in four autophagy-related genes (ATG2B, ATG10, ATG12, ATG16L2).
- Analysis of associations with RP, LRFS, PFS, and OS in 393 North American NSCLC patients treated with definitive radiotherapy.
- Multivariable Cox proportional hazard regression analyses were employed.
Main Results:
- The ATG16L2 rs10898880 CC genotype was associated with improved LRFS, PFS, and OS.
- Patients with the CC genotype had a higher risk of severe RP.
- Functional analyses indicated that the ATG16L2 rs10898880 C variant allele affects ATG16L2 gene expression.
Conclusions:
- The study identifies the ATG16L2 rs10898880 SNP as a potential predictor for RP and survival outcomes in NSCLC patients post-radiotherapy.
- Larger, prospective studies are recommended to validate these findings.
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