Use a survival model to correlate single-nucleotide polymorphisms of DNA repair genes with radiation dose-response in patients with non-small cell lung cancer.
Radiother Oncol
; 117(1): 77-82, 2015 Oct.
Article
in En
| MEDLINE
| ID: mdl-26253951
ABSTRACT
PURPOSE:
This study utilizes a survival model and clinical data with various radiation doses from prospective trials to determine radiation dose-response parameters, such as radiosensitivity, and identify single-nucleotide-polymorphism (SNP) biomarkers that can potentially predict the dose response and guide personalized radiotherapy.METHODS:
The study included 92 consecutive stage-III NSCLC patients with doses varying from 60 to 91Gy. Logistic regression analysis of survival varying with SNP genotype and radiation dose was used to screen candidates for dose-response analysis. The dose-response parameter, represented by D50, was derived by fitting survival data into a model that takes into account both tumor control and treatment mortality. A candidate would be considered as a predictor if the 90% confident intervals (90% CIs) of D50 for the 2 groups stratified by the SNP genotype were separated.RESULTS:
One SNP-signature (combining ERCC2rs238406 and ERCC1rs11615) was found to predict dose-response. D50 values are 63.7 (90% CI 53.5-66.3) Gy and 76.1 (90% CI 71.3, 84.6) Gy for the 2 groups stratified by the genotypes. Using this biomarker-based model, a personalized dose prescription may be generated to improve 2-year survival from â¼50% to 85% and â¼3% to 73% for hypothetical sensitive and resistant patients, respectively.CONCLUSIONS:
We have developed a survival model that may be used to identify genomic markers, such as ERCC1/2 SNPs, to predict radiation dose-response and potentially guide personalized radiotherapy.Key words
Full text:
1
Collection:
01-internacional
Database:
MEDLINE
Main subject:
Carcinoma, Non-Small-Cell Lung
/
Polymorphism, Single Nucleotide
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DNA-Binding Proteins
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Endonucleases
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Xeroderma Pigmentosum Group D Protein
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Lung Neoplasms
Type of study:
Observational_studies
/
Prognostic_studies
/
Risk_factors_studies
Limits:
Adult
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Aged
/
Aged80
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Female
/
Humans
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Male
/
Middle aged
Language:
En
Journal:
Radiother Oncol
Year:
2015
Document type:
Article
Affiliation country:
United States