scholarly journals MMP-1 promoter polymorphism is associated with risk of radiation-induced lung injury in lung cancer patients treated with radiotherapy

Oncotarget ◽  
2016 ◽  
Vol 7 (43) ◽  
pp. 70175-70184 ◽  
Author(s):  
Bo Liu ◽  
Minxiao Yi ◽  
Yang Tang ◽  
Qingxu Liu ◽  
Hong Qiu ◽  
...  
Keyword(s):  
Lung Cancer ◽  
Lung Injury ◽  
Cancer Patients ◽  
Promoter Polymorphism ◽  
Lung Cancer Patients ◽  
Radiation Induced

Retrospective analysis of steroid therapy for radiation-induced lung injury in lung cancer patients

2006 ◽  
Vol 80 (1) ◽  
pp. 93-97 ◽  
Author(s):  
Ikuo Sekine ◽  
Minako Sumi ◽  
Yoshinori Ito ◽  
Hiroshi Nokihara ◽  
Noboru Yamamoto ◽  
...  
Keyword(s):  
Lung Cancer ◽  
Lung Injury ◽  
Retrospective Analysis ◽  
Cancer Patients ◽  
Steroid Therapy ◽  
Lung Cancer Patients ◽  
Radiation Induced

scholarly journals Markers Useful in Monitoring Radiation-Induced Lung Injury in Lung Cancer Patients: A Review

2020 ◽  
Vol 10 (3) ◽  
pp. 72
Author(s):  
Mariola Śliwińska-Mossoń ◽  
Katarzyna Wadowska ◽  
Łukasz Trembecki ◽  
Iwona Bil-Lula
Keyword(s):  
Lung Cancer ◽  
Lung Injury ◽  
Cancer Treatment ◽  
Cancer Patients ◽  
Transforming Growth Factor ◽  
Therapy Response ◽  
Predictive Biomarkers ◽  
Individual Response ◽  
Lung Cancer Patients ◽  
Radiation Induced

In 2018, lung cancer was the most common cancer and the most common cause of cancer death, accounting for a 1.76 million deaths. Radiotherapy (RT) is a widely used and effective non-surgical cancer treatment that induces remission in, and even cures, patients with lung cancer. However, RT faces some restrictions linked to the radioresistance and treatment toxicity, manifesting in radiation-induced lung injury (RILI). About 30–40% of lung cancer patients will develop RILI, which next to the local recurrence and distant metastasis is a substantial challenge to the successful management of lung cancer treatment. These data indicate an urgent need of looking for novel, precise biomarkers of individual response and risk of side effects in the course of RT. The aim of this review was to summarize both preclinical and clinical approaches in RILI monitoring that could be brought into clinical practice. Next to transforming growth factor-β1 (TGFβ1) that was reported as one of the most important growth factors expressed in the tissues after ionizing radiation (IR), there is a group of novel, potential biomarkers—microRNAs—that may be used as predictive biomarkers in therapy response and disease prognosis.

scholarly journals Associations ofLIG4andHSPB1Genetic Polymorphisms with Risk of Radiation-Induced Lung Injury in Lung Cancer Patients Treated with Radiotherapy

2015 ◽  
Vol 2015 ◽  
pp. 1-6
Author(s):  
Feng Xu ◽  
Ji-Chang Han ◽  
Ya-Jun Zhang ◽  
Yi-Jie Zhang ◽  
Xiao-Chun Liu ◽  
...  
Keyword(s):  
Lung Cancer ◽  
Lung Injury ◽  
Cancer Patients ◽  
Genetic Polymorphisms ◽  
Genotype Distribution ◽  
Chi Square ◽  
Lung Cancer Patients ◽  
Significant Difference ◽  
Radiation Induced ◽  
Grade 3

Objective.This study aims to explore the correlations of genetic polymorphisms inLIG4andHSPB1genes 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 ofLIG4andHSPB1genes. 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 ofLIG4 rs1805388andHSPB1 rs2868371genotype distribution and the risk of RP(P>0.05).Conclusion.In conclusion, we demonstrated that the genetic polymorphisms inLIG4 rs1805388andHSPB1 rs2868371were not obviously correlated with the risk of RP and RILI of lung cancer.

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