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Folic MM, Banko AV, Todorovic VN, Puskas NS, Milovanovic JP, Krejovic SB, Dragicevic-Babic NZ, Bukumiric ZM, Milicic BR, Jotic AD, Djukic VB. The Expression of Hypoxia-Related Biomarkers: A Significance of HIF-1α C1772T Polymorphism as Predictor of Laryngeal Carcinoma Relapse. Cancer Control 2022; 29:10732748221144457. [PMID: 36469955 PMCID: PMC9730002 DOI: 10.1177/10732748221144457] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/12/2022] Open
Abstract
INTRODUCTION The association between the expression of HIF-1α in the laryngeal carcinoma and the prognosis of disease is quite well documented, but the significance of HIF-1α C1772T polymorphism and its relation to disease phenotype have to be clarified. The aim of this study was to investigate the influence of C1772T polymorphism on the clinical-pathological characteristics and disease-free survival after initial surgical treatment of patients with laryngeal carcinoma. MATERIALS AND METHODS The prospective cohort study included 65 patients with laryngeal carcinoma. Two representative tumor tissue specimens were taken in each patient during surgery; 1 specimen was used to asses HIF-1α C1772T polymorphism and the other 1 to determine the immunohistochemical expression of HIF-1α, VEGF, as well as CD 34 proteins. The comparison of polymorphism frequency between study and control population was conducted by collecting a 5 mL of peripheral venous blood samples in each subject. RESULTS Clinicopathological characteristics of laryngeal carcinoma didn't affect the expression of hypoxia-related biomarkers, such as HIF-1α, VEGF or MVD. The statistically significant association between HIF-1α and VEGF expression was found (P = .034), but not between HIF-1α expression and MVD value (P = .696). The expression of HIF-1α was significantly higher among CT heterozygotes (P = .029). We found a significantly more recurrence among CT heterozygotes compared with patients with CC homozygous alleles (57.10% and 24.30%, respectively; P = .007). Patients with C1772T polymorphic variants had significantly worse disease-free survival compared with patients without polymorphism (Log-rank test, P = .007). CONCLUSION HIF-1α C1772T polymorphism was significantly associated with worse disease-free survival which nominates it as a predictor of laryngeal carcinoma relapse. The preoperative assessment of hypoxia-related biomarkers should be used in everyday practice in order to determine the treatment modalities for laryngeal carcinoma.
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Affiliation(s)
- Miljan M. Folic
- Faculty of Medicine, University of Belgrade, Belgrade, Serbia,Clinic for Otorhinolaryngology and Maxillofacial Surgery, University Clinical Centre of Serbia, Belgrade, Serbia,Miljan M. Folic, MD, PhD, Clinic for Otorhinolaryngology and Maxillofacial Surgery, University Clinical Centre of Serbia, 2 Pasterova Street, Belgrade 11000, Serbia.
| | - Ana V. Banko
- Faculty of Medicine, University of Belgrade, Belgrade, Serbia,Institute of Microbiology and Immunology, Belgrade, Serbia
| | - Vera N. Todorovic
- Department of Histology and Embryology, School of Medicine of University of Zenica, Zenica, Bosnia and Herzegovina
| | - Nela S. Puskas
- Faculty of Medicine, University of Belgrade, Belgrade, Serbia,Institute of Histology and Embryology “Prof. Dr Aleksandar Dj. Kostic”, Faculty of Medicine, University of Belgrade, Belgrade, Serbia
| | - Jovica P. Milovanovic
- Faculty of Medicine, University of Belgrade, Belgrade, Serbia,Clinic for Otorhinolaryngology and Maxillofacial Surgery, University Clinical Centre of Serbia, Belgrade, Serbia
| | - Sanja B. Krejovic
- Faculty of Medicine, University of Belgrade, Belgrade, Serbia,Clinic for Otorhinolaryngology and Maxillofacial Surgery, University Clinical Centre of Serbia, Belgrade, Serbia
| | - Neda Z. Dragicevic-Babic
- Center for Rare Diseases – Reference Center Northern Bavaria (ZESE), University Hospital Wuerzburg, Wurzburg, Germany
| | - Zoran M. Bukumiric
- Faculty of Medicine, University of Belgrade, Belgrade, Serbia,Department of Medical Statistics and Informatics, Faculty of Medicine, University of Belgrade, Belgrade, Serbia
| | - Biljana R. Milicic
- Statistics and Informatics, School of Dental Medicine, University of Belgrade, Belgrade, Serbia
| | - Ana D. Jotic
- Faculty of Medicine, University of Belgrade, Belgrade, Serbia,Clinic for Otorhinolaryngology and Maxillofacial Surgery, University Clinical Centre of Serbia, Belgrade, Serbia
| | - Vojko B. Djukic
- Faculty of Medicine, University of Belgrade, Belgrade, Serbia,Clinic for Otorhinolaryngology and Maxillofacial Surgery, University Clinical Centre of Serbia, Belgrade, Serbia
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