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Khosravi M, Sadighi S, Moradi Sh, Zendehdel K,
Volume 71, Issue 1 (4 2013)
Abstract

Background: McGill pain questionnaire is the most useful standard tools for assessing pain. McGill pain questionnaire contains 78-word descriptive of the 20 subclasses form-ing in three main sensory, affective and evaluative domains. Due to cultural differences, the questionnaire has been translated into several languages. This study aimed to transl-ate MPQ into Persian language and assess its reliability, validity and acceptability in patients with cancer.
Methods: The study performed in Medical Oncology Department of Cancer Institute in Imam Khomeini Hospital in the Spring 2012. After translation of MPQ by two experts fluent in English, Persian version was returned to English. Then that backward transla-tion was compared with the original questionnaire and words that did not match were reviewed.  Patients with different types of cancer who suffering from chronic pain were admitted in our study. They did not receive any kind of pain killer drugs during the pre-vious 24 hours. There was no restriction of age, sex, education, type of cancer or treat-ment modality. The reliability and validity of Persian-McGill pain questionnaire after interviewing patients was assessed by test–retest reliability and internal consistency (Cronbach’s alpha).
Results: In total, 84 patients were interviewed and 30 patients who were available after 24 hour with the same condition recomplete the questionnaire. Cronbach’alpha of each domain was in 0.622-0.743 and total Crobach’s alpha (n=84) was 0.85. Evaluative aspect has only one subgroup and because of this, it is not have Crobach’s alpha. The stability coefficient (n=30) in all areas (sensory, emotional, and other domains) were 0.812-0.964. Stability coefficient among the 20 Persian McGill Pain Questionnaire (PMPQ) subclasses showed significant and reliable relationships over time for all groups.
Conclusion: This study is the first study that assessed psychometric properties and use-fulness of the MPQ in Iranian patients with cancer, showed that it is a potentially useful measure with a high validity and reliability standards.


Fateme Sadat Zendehdel, Seyyed Abdolhamid Angaji , Behnaz Beikzadeh, Behzad Narouie , Mahdi Mohammadi,
Volume 82, Issue 6 (September 2024)
Abstract

Background: Clear renal cell carcinoma (ccRCC) is the most common malignant kidney tumor and has a high mortality rate. The pathogenesis of this cancer is complex and efficient biomarkers for its diagnosis and prediction are limited. This study aimed to identify predictive genes in ccRCC through analysis and laboratory validation ccRCC is the most common malignant kidney tumor and has a high mortality rate.
Methods: The present study was a case-control study in which samples were taken from patients and healthy individuals from Labafi Nejad Hospital in Tehran between October 2012 and April 2014, and laboratory tests were performed on the samples.
First, genes with differential expression in ccRCC patients were identified by bioinformatics using gene expression profile data from the Gene Expression Omnibus (GEO) database with accession number GSE213324. Data analysis was performed using Galaxy web server, protein-protein interactions were checked using Cytoscape and STRING app software, and finally two genes were selected for real-time PCR testing.
Results: Analysis identified 4,065 genes with differential expression in RCC tissues compared to healthy tissues. These genes are involved in immune responses and renal disease pathways, suggesting their potential role in disease development. After constructing the protein-protein interaction network and identifying differentially expressed genes in kidney tissue and blood, two genes, MTTP and CALCA, were selected for further investigation. In the Mann-Whitney U test, the expression of the CALCA gene decreased significantly in the patient group (P<0.05). On the other hand, the MTTP gene showed a decrease in expression, but not significantly. The AUC calculated to evaluate the diagnostic accuracy for the CALCA gene was 0.64 and significant (P<0.05), demonstrating its potential as a useful biomarker for ccRCC diagnosis. However, the AUC for the MTTP gene was not significant.
Conclusion: The reduction in CALCA expression could serve as a useful biomarker for diagnosing ccRCC.


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