Search published articles


Showing 2 results for Chehrei

Ameri A, Ansari J, Mokhtari M, Chehrei A,
Volume 65, Issue 6 (3 2007)
Abstract

Background: Depending on the lung volume in radiotherapy fields, breast cancer radiotherapy has documented side effects on pulmonary function, which can be determined by pulmonary function tests. Central lung distance (CLD), the distance from the chest wall to the edge of the field at the central axis, is an indicator of lung volume within the radiotherapy fields. In this study, we aim to detect the relationship between CLD and pulmonary function tests.

Methods: In this study we included 50 patients with breast cancer receiving postoperative adjuvant radiotherapy at Imam Hossein Hospital, Tehran, Iran. The patients received radiotherapy with a total dose of 4800-5000 cGy. For all patients, the central lung distances were measured using simulation of tangential fields, in addition to determination of pulmonary function, including force vital capacity (FVC) and forced expiratory volume in 1 s (FEV1) determined before radiotherapy, one month and three months after radiotherapy.

Results: There is no significant statistical difference between the FEV1 and FVC values before radiotherapy and those measured one month after radiotherapy however there was a significant statistical decrease in the FEV1 and FVC before radiotherapy and those measured three months after radiotherapy (P<0.001 and P<0.006, respectively). There is a positive statistical correlation between the change in the FEV1 three months after therapy and the CLD (r=0.71, p<0.01) and that of the FVC three months after therapy and the CLD (r=0.59, p<0.01). Linear regression for the prediction of FEV1 and FVC three months after radiotherapy was designed according to the CLD, FEV1 and FVC values before radiotherapy.

Conclusions: Three months after breast radiotherapy, the FEV1 and FVC values decrease, and the CLD is a proper predictor of these changes.


Jamshid Ansari, Milad Pezeshki, Azam Ahmadi, Ali Chehrei,
Volume 81, Issue 9 (December 2023)
Abstract

Background: Lung cancer has the highest incidence and mortality rate of all cancers worldwide. In Iran, it is one of the commonly diagnosed malignancies, and its frequency is increasing rapidly. Genetic variants in DNA repair genes are linked to differences in efficiency of repairing DNA damage, which can influence lung cancer susceptibility. EXO1 is a key gene involved in the mismatch repair pathway. The K589E polymorphism in EXO1 may alter the DNA repair activity of the encoded protein and impact lung cancer risk. The aim of this study was to investigate associations between the K589E polymorphism in EXO1 and lung cancer risk in the Iranian population, and evaluate its potential as a prognostic biomarker.
Methods: This case-control study was conducted to investigate EXO1 K589E variant with susceptibility to lung malignancy in the Iranian population. One hundred patients with lung cancer as a patient group and 100 healthy individuals from Khansari Hospital located in Markazi province were studied, from January 2020 to May 2022. DNA extraction from blood samples of participants was done using a kit.  Genotype determination of both patient and control groups was done using PCR-RFLP technique. Finally, statistical results were analyzed using SPSS software and the logistic regression method.
Results: Genotype and allele frequency  analysis showed the AA genotype (P=0.004, OR=5.391, 95% CI: 1.690-17.200) and A allele (P=0.010, OR=2.851, 95% CI: 1.291-6.300) were correlated with susceptibility to lung cancer. On the other hand, people carrying the G variant allele had a lower risk of lung cancer.
Conclusion:  In summary, this study found the AA genotype and A allele of K589E in EXO1 are correlated with risk of lung cancer in Iranians, while the G allele has protective effects. The K589E polymorphism may serve as a prognostic biomarker for lung cancer susceptibility, but more studies with high population size are required.


Page 1 from 1     

© 2025 , Tehran University of Medical Sciences, CC BY-NC 4.0

Designed & Developed by : Yektaweb