Identification of Tumorigenic Markers in Head and Neck Cancer Patients, Exploring their Correlation with Tumor Aggressiveness
DOI:
https://doi.org/10.61919/jhrr.v3i2.249Keywords:
Neuro-oncology, Head and Neck Cancer, long non-coding RNA (Lnc-RNA), BLACAT-1, NEAT-1, HIF-1α, Caspase-3, Caspase-9, TelomeraseAbstract
Background: Globally, head and neck cancer (HNC) considered the sixth most severe cancer associated with multiple risk factors. Due to lack of personalized therapies and undefined biomarkers, HNC shows low overall survival rate. Long non-coding RNA (LncRNA) helps to regulate multiple gene expressions in multiple biological responses. LncRNA tumor biomarkers stimulated tumor aggressiveness, cellular proliferation and inhibit apoptosis with poor prognosis. BLACAT-1, NEAT-1, HIF-1α, Caspase-3, Caspase-9 and Telomerase were associated with metastasis, tumor staging (TNM stage) activated proliferation, invasion and migration.
Objective: The presented study aims to analyze tumorigenic biomarkers, (BLACAT-1, NEAT-1 and HIF-1α, Caspase-3, Caspase-9 and Telomerase) in development and progression of head and neck cancer. Meanwhile, to observe the correlation between these biomarkers in promoting head and neck cancer.
Methods: In this comprehensive study, EDTA blood samples (5ml each) were collected from a cohort comprising 50 head and neck cancer (HNC) patients and an additional 30 healthy controls. The primary objective was to extract RNA from these samples for a detailed analysis. The study focused on evaluating the correlation between various tumor biomarkers across different HNC tumor subtypes. This correlation was meticulously analyzed using Real-Time Quantitative Polymerase Chain Reaction (RT-qPCR), a method known for its precision in quantifying gene expression levels.
Results: BLACAT-1 shows a significant increase expression in squamous cell carcinoma. NEAT-1, Caspase-3 and Caspase-9 are non-significant in HNC tumor types whereas, inverse correlation was observed between NEAT-1 with Caspase-9 and direct proportion between NEAT-1 with Caspase-3. However, HIF-1α represented an insignificant data among all tumor subtypes under hypoxic microenvironment.
Conclusion: Higher expression levels are suggesting potential biomarkers, therefore a gene signature can be developed for determining the severity of breast tumor; therefore, can be exploited as novel therapeutic approaches to block tumor metastasis and angiogenesis.
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Copyright (c) 2023 Najeeha Javed, Hafiz Muhammad Haseeb Khaliq, Amna Batool, Kausar Bano , Adnan Arshad
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