THE PROGNOSTIC SIGNIFICANCE OF PD-L1 EXPRESSION IN IMMUNE CHECKPOINT THERAPY FOR DIVERSITY IN HEAD AND NECK TUMORS ASSESSMENTS, INSIGHTS TO MOLECULAR ONCOLOGY THERAPEUTICS
Main Article Content
Keywords
Neuro-oncology, Head and Neck Cancer, long non-coding RNA (Lnc-RNA).
Abstract
Introduction: Head and neck tumors comprise among the most dangerous malignancies because they display multiple diverse histological variants which demonstrate variable responses to treatments. The treatment of head and neck tumors has seen advancement with the use of immune checkpoint inhibitors focused on targeting PD-L1 proteins. Research has yet to clarify the prognostic importance of PD-L1 expression throughout different kinds of head and neck tumors. Objective: The research examines PD-L1 expression in head and neck tumors to determine its predictive nature in immune checkpoint therapy outcomes and possibilities for molecular oncology therapeutic approaches. Materials and Methodology: The research employed tissue from 200 head and neck tumor patients to perform PD-L1 expression testing by immunohistochemical methods. The research evaluated how PD-L1 expression levels related to survival data and how patients responded to treatment. PD-L1 expression levels were statistically evaluated as a prognosis indicator for different tumor subtypes. Results: In oropharyngeal carcinoma patients high PD-L1 expression yielded better results when using immune checkpoint inhibitors although other head and neck tumor subtypes experienced minimal clinical improvement from PD-L1 testing results. The presence of PD-L1 proteins on cervical cells demonstrated a connection with extended overall survival results specifically within HPV-positive patients. Conclusion: The research revealed PD-L1 serves as an essential biomarker for predictive immune checkpoint therapy because it provides crucial survival data about head and neck tumors. Additional research must prove and extend the practical use of this technique for many cancer types to achieve advancements in molecular oncology drug development.
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