Εξειδίκευση τύπου :	Άρθρο σε επιστημονικό περιοδικό
Τίτλος:	Comparative p16IKN4A expression in laryngeal carcinoma and cervical cancer precursors: A real-time grid-based immunocytochemistry analysis
Δημιουργός/Συγγραφέας:	Tsiambas E. [EL] Ριζιώτης, Χρήστος Δ.[EN] Riziotis, Christos Mastronikolis N.S. Peschos D. Mortakis A. Kyroysis G. Mastronikolis S.N. Batistatou A. Lazaris A.C. Patsouris E. Ragos V.
Εκδότης:	International Institute of Anticancer Research
Ημερομηνία:	2018
Γλώσσα:	Αγγλικά
ISSN:	0250-7005
DOI:	10.21873/anticanres.12920
Άλλο:	PubMed ID: 30275203
Περίληψη:	Background/Aim: p16 (gene locus: 9p21) tumor suppressor gene is considered an important biomarker for the progression and prognosis in a variety of malignancies and pre-cancerous lesions, including high-risk (HR-) human papilloma virus (HPV)-mediated squamous intraepithelial lesions (SILs), based on cytological and the corresponding cervical intraepithelial neoplasia (CIN) histopathological categorization. p16 acts as a cyclin-dependent kinase-4 inhibitor negatively regulating the cell cycle. In persistent HPV infection, E7 oncogenic protein binds retinoblastoma protein leading to its proteolytic transformation, also triggering E2F dissociation, which increases DNA transcription and progression to S phase. This mechanism promotes aberrant p16 over-expression. Our aim was to comparatively analyze p16 protein expression patterns in laryngeal squamous cell carcinomas (LSCC) and also in SILs. Materials and Methods: Fifty (n=50) primary LSCCs tissues all non-HPV-dependent, and a set of 50 liquid-based SILs, were analyzed by immunohistochemistry and immunocytochemistry, respectively. Concerning the screening process in cytological slides, a novel real-time reference and calibration grid platform was implemented and employed. Results: Decreased protein expression was observed in 34/50 (68%) tissues regarding LSCCs. Overall p16 expression was associated to smoking status of the patients (p=0.001), and also with the p-stage of the examined malignancies (p=0.033). A strong statistical significance was assessed correlating LSIL/HSIL cases with a progressive p16 over expression (p=0.001), also reflecting a higher CIN diagnosis (p=0.001). Conclusion: p16 down-regulation is a frequent genetic event in LSCCs, which is associated with advanced disease. In contrast to this, p16 overexpression triggered by a specific molecular mechanism shows a strong relationship with a progressively aggressive phenotype due to upgraded SIL/CIN cervical categorization. The first described application of the grid platform demonstrated a considerable improvement in the immunocytochemistry slide screening process enhancing the diagnostic reliability.
Τίτλος πηγής δημοσίευσης:	Anticancer Research
Τόμος/Κεφάλαιο:	38
Τεύχος:	10
Σελίδες:	5805-5810
Θεματική Κατηγορία:	[EL] Φυσική και θεωρητική χημεία[EN] Physical and theoretical chemistry
Λέξεις-Κλειδιά:	Cervical intraepithelial neoplasia Grid platform Histological categorization Laryngeal squamous cell carcinoma P16 Squamous intraepithelial lesion
Αξιολόγηση από ομότιμους (peer reviewed):	Ναι
Κάτοχος πνευματικών δικαιωμάτων:	© 2018 International Institute of Anticancer Research. All rights reserved.
Όροι και προϋποθέσεις δικαιωμάτων:	All Open Access, Bronze
Σημειώσεις:	European Commission, EC; National and Kapodistrian University of Athens; European Regional Development Fund, FEDER This work was supported in part by the project “Advanced Materials and Devices” (MIS 5002409), which is implemented under the “Action for the Strategic Development on the Research and Technological Sector”, funded by the Operational Programme "Competitiveness, Entrepreneurship and Innovation" (NSRF 2014-2020) and co-financed by Greece and the European Union (European Regional Development Fund). The work was also supported by KA 70/3/723 research program Medical School, University of Athens, Greece. COST Action BM1401 "Raman based applications for clinical diagnostics-Raman4Clinics", and COST Action MP1401: "Advanced fibre laser and coherent source as tools for society, manufacturing and lifescience" are also acknowledged. Authors acknowledge the significant scientific contribution of George Vilaras, Technologist in Dept of Pathology, Medical School, University of Athens, Athens, Greece as an expert in IHC/ICC techniques and also Eleftherios Stavrakas, MEng, MSc, PMI-RMP, CEng, PRINCE2 Consultant, Germany, for his extensive statistical analysis.will improve the screening process.
Εμφανίζεται στις συλλογές:	Ινστιτούτο Θεωρητικής και Φυσικής Χημείας (ΙΘΦΧ) - Επιστημονικό έργο