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The Stress-Inducible Heat Shock Protein 70 (HSPA1A) as A Novel Biomarker in Lung Tumors: A Promoting Study
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     Heat shock proteins (HSPs) are a group of intracellular proteins that promote proteins folding and unfolding under normal and/or stress conditions. In addition to their intracellular location, HSPs are found on the plasma membranes of stressed, but not normal, cells and in the extracellular milieu where they can trigger an immune response. For instance, the inducible form of heat shock protein 70 (HSPA1A) was found to be overexpressed, intra or extracellularly, by many types of stressed cells. In our study, we aim to investigate the levels of HSPA1A in the serum of untreated lung tumor patients and its expression in the tissues derived from lung tumors and chronic obstructive pulmonary diseases (COPD) and healthy tissues. Analyses of serum and tissue samples were performed by utilizing ELISA assay and immunohistochemical staining, respectively. The results showed significant differences in the mean levels of serum HSPA1A of the patients (1.66± 0.165) as compared to healthy control (0.938±0.330). Significant differences were also found between these levels in the serum of smoker and nonsmoker patients (2.006±0.342 and 1.353± 0.067, respectively). The protein levels in the patient's serum were also found to be 29.5% correlated to smoking history. No significant differences were found in terms of gender and age within the two groups of patients and healthy volunteers. Our results showed HSPA1A protein levels to be correlated to gender (13.5%) and age in patients and healthy volunteers (14.8% and 0.4%, respectively). In the tissues of the clinicopathological groups, HSPA1A was found to be overexpressed in benign (IRS= 8.5) and malignant tumors (IRS= 8.9) in comparison with both COPD (IRS= 4.4) and healthy tissues (IRS= 0.00). Our pilot results could support the suggestion of HSPA1A as a novel biomarker in lung tumors, as proposed by previous studies.

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Publication Date
Thu Jun 01 2023
Journal Name
Iraqi Journal Of Physics
Monitoring Land Surface Temperature (LST) and Land Cover of Basra Province using Remote Sensing Technique and GIS
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This study investigates the changes occurring in the province of Basra using geospatial methods and analyzes the variations in land surface temperature among the various types of land cover. For the months of July and December in the years 2013 and 2021, Landsat images were used in Landsat 8 OLI/TIRS, and satellite images were processed using ArcGIS 10.8 software. The study's categories for land use and land cover were generated through the application of supervised classification techniques, and the land surface temperature was calculated using data from a satellite sensor's brightness temperature. According to the study's findings, there has been an increase in urban areas (including barren land). From 2013 to 2021, a greater correlati

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