Collection of studies examines molecular targets and diagnostic methods in oral cancer, suggesting future directions in treatment.
This topical Collection presents a series of studies that examine molecular mechanisms, diagnostic approaches, and therapeutic strategies relevant to oral cancer. The included investigations explore topics ranging from metastasis-associated pathways and immune evasion to emerging detection technologies such as deep learning-based impedance spectroscopy and volatile organic compound analysis. Together, these studies reflect the growing convergence of molecular oncology, digital diagnostics, and translational clinical research in shaping the future of oral cancer management. This Collection represents an ongoing effort to consolidate current knowledge and guide future research in oral squamous cell carcinoma.
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Gopinath et al. (2026) studied this question.
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