POSITIVE EXPRESSION OF NEDD9 IN HEAD AND NECK CANCER IS RELATED TO BETTER SURVIVAL PERIOD

CLINICAL COURSE OF THE DISEASE AND TREATMENT OUTCOME IN PATIENTS WITH MALIGNANT LARYNGEAL TUMOR: RETROSPECTIVE FIVE-YEAR ANALYSIS

The aim was to investigate clinical course of disease in patients with malignant laryngeal tumors with emphasis on various forms of disease recurrence (local recurrence, metastasis to regional lymph nodes, occurrence of second primary tumor). A retrospective research including 78 patients with histopathologically confirmed diagnosis of squamous cell laryngeal carcinoma was conducted. Information on cancer stage, histologic grade, type of treatment and disease recurrence was obtained from medical history. Tissue samples of the patients were submitted to immunohistochemical analysis and assessment of Ki-67 proliferation index expression. The occurrence of second primary tumor was found to be related to the significantly higher Ki-67 proliferation index. The number of patients having not undergone oncologic therapy and remained free from disease recurrence was significantly higher than expected. Treatment outcome depends on patient age, histologic grade, radiotherapy applied, and clinical course of disease. It is necessary to define the predictive factors of various forms of disease recurrence more precisely in order to identify better treatment options for patients with malignant tumors of the larynx.

Computational identification of host genomic biomarkers highlighting their functions, pathways and regulators that influence SARS-CoV-2 infections and drug repurposing

The pandemic threat of COVID-19 has severely destroyed human life as well as the economy around the world. Although, the vaccination has reduced the outspread, but people are still suffering due to the unstable RNA sequence patterns of SARS-CoV-2 which demands supplementary drugs. To explore novel drug target proteins, in this study, a transcriptomics RNA-Seq data generated from SARS-CoV-2 infection and control samples were analyzed. We identified 109 differentially expressed genes (DEGs) that were utilized to identify 10 hub-genes/proteins (TLR2, USP53, GUCY1A2, SNRPD2, NEDD9, IGF2, CXCL2, KLF6, PAG1 and ZFP36) by the protein–protein interaction (PPI) network analysis. The GO functional and KEGG pathway enrichment analyses of hub-DEGs revealed some important functions and signaling pathways that are significantly associated with SARS-CoV-2 infections. The interaction network analysis identified 5 TFs proteins and 6 miRNAs as the key regulators of hub-DEGs. Considering 10 hub-proteins and 5 key TFs-proteins as drug target receptors, we performed their docking analysis with the SARS-CoV-2 3CL protease-guided top listed 90 FDA approved drugs. We found Torin-2, Rapamycin, Radotinib, Ivermectin, Thiostrepton, Tacrolimus and Daclatasvir as the top ranked seven candidate drugs. We investigated their resistance performance against the already published COVID-19 causing top-ranked 11 independent and 8 protonated receptor proteins by molecular docking analysis and found their strong binding affinities, which indicates that the proposed drugs are effective against the state-of-the-arts alternatives independent receptor proteins also. Finally, we investigated the stability of top three drugs (Torin-2, Rapamycin and Radotinib) by using 100 ns MD-based MM-PBSA simulations with the two top-ranked proposed receptors (TLR2, USP53) and independent receptors (IRF7, STAT1), and observed their stable performance. Therefore, the proposed drugs might play a vital role for the treatment against different variants of SARS-CoV-2 infections.