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Associations of LIG4 and HSPB1 Genetic Polymorphisms with Risk of Radiation-Induced Lung Injury in Lung Cancer Patients Treated with Radiotherapy.
- Source :
-
BioMed Research International . 2/25/2015, Vol. 2015, p1-6. 6p. - Publication Year :
- 2015
-
Abstract
- Objective. This study aims to explore the correlations of genetic polymorphisms in LIG4 and HSPB1 genes with the radiation-induced lung injury (RILI), especially radiation pneumonitis (RP), in lung cancer patients. Methods. A total of 160 lung cancer patients, who were diagnosed with inoperable lung cancer and received radiotherapy, were included in the present study from September 2009 to December 2011. TaqMan Real-Time PCR (RT-PCR) was used to verify the SNPs of LIG4 and HSPB1 genes. Chi-square criterion was used to compare the differences in demographic characteristics, exposure to risk factors, and SNPs genotypes. Crude odds ratios (ORs) with 95% confidence intervals (95% CI) were calculated by logistic regression analysis. All statistical analyses were conducted in SPSS 18.0. Results. A total of 32 (20.0%) lung cancer patients had RP after receiving radiotherapy. Of the 32 cases, 4 cases were of grade 2, 24 cases were of grade 3, and 4 cases were of grade 4. However, our results indicated that the general condition and treatment of all patients had no significant difference with RP risk (P>0.05). Meanwhile, our results revealed that there was no significant association between the frequencies of LIG4 rs1805388 and HSPB1 rs2868371 genotype distribution and the risk of RP (P>0.05). Conclusion. In conclusion, we demonstrated that the genetic polymorphisms in LIG4 rs1805388 and HSPB1 rs2868371 were not obviously correlated with the risk of RP and RILI of lung cancer. [ABSTRACT FROM AUTHOR]
- Subjects :
- *ADENOCARCINOMA
*LUNG diseases
*SMOKING
*RADIATION pneumonitis
*CANCER chemotherapy
*CANCER patients
*CONFIDENCE intervals
*DEMOGRAPHY
*GENES
*GENETIC polymorphisms
*LIFE expectancy
*LUNG cancer
*LUNG tumors
*POLYMERASE chain reaction
*RADIATION
*RADIOTHERAPY
*SQUAMOUS cell carcinoma
*TERMINALLY ill
*TUMOR classification
*LOGISTIC regression analysis
*DATA analysis
*DATA analysis software
*ODDS ratio
*DIAGNOSIS
*DISEASE risk factors
Subjects
Details
- Language :
- English
- ISSN :
- 23146133
- Volume :
- 2015
- Database :
- Academic Search Index
- Journal :
- BioMed Research International
- Publication Type :
- Academic Journal
- Accession number :
- 109273486
- Full Text :
- https://doi.org/10.1155/2015/860373