"Discussion of the doctoral thesis of the student “Noor Hameed Hanoush

The public discussion took place for the Doctoral student (Noor Hameed Hanoush) at Anbar University, College of Science, Department of Biology, on Thursday 5/9/2024 in Jaber bin Hayyan Hall, for his tagged thesis

" Evaluation of some Immunological and Physiological biomarkers of some Iraqi Patients with Lung Cancer "

The discussion committee consisted of:

University of Anbar - College of Science- Chairman

Prof. Dr. Mohammed Qais Abd

University of Baghdad - College of Science - Member

Prof. Dr. Mai Khalil Ismail

University of Anbar - College of Sciences – Member

Prof. Dr. Hamid Hussein Ali

University of Anbar - College of Agriculture - member

Prof. Dr. Hassan Ali Matar

University of Anbar - College of Science -Member

Assist. Prof. Dr. Maryam Ibrahim Salman

University of Anbar - College of Science -member and supervisor

Assist. Prof. Dr.  Rashid Mohammed Rashid

University of Anbar - College of Medicine -member and supervisor

Assist. Prof. Dr. Abdul Rahman Mohammed Jiran

 This study aimed to examine the effectiveness of PD-L1, MMP-9, CYFRA21-1, Ki-67, TNF-α, and IL-6 as prognostic markers in lung cancer at different stages. Investigate the prevalence of gene expression encoding P-gp at both the mRNA and protein levels in lung cancer. Determine Irisin, Resistin, Leptin, and Haptoglobin levels could be useful biomarkers for lung cancer Prognostic.

The results indicated that PD-L1, MMP-9, Ki-67, CYRF21-1, TNF-α, and IL-6 were increased in lung cancer patients compared with controls, with high sensitivity and specificity that could be prognostic biomarkers, allowing the development of personalized treatment strategies. The study also showed a significant increased and overexpression of P-glycoprotein in Iraqi patients with lung cancer, which may help explain why lung cancer patients are resistant to chemotherapy. The significant variations in leptin, resistin and irisin levels in lung cancer across different stages suggest their potential utility in predicting the prognosis or progression of lung cancer.

 

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