Multidisciplinary Approach to Oral Cavity Cancer: An Hard Enemy

A special issue of Targets (ISSN 2813-3137).

Deadline for manuscript submissions: 28 February 2025 | Viewed by 675

Special Issue Editors


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Guest Editor
Istituto Nazionale Tumori di Napoli, IRCCS “G. Pascale”, Via Mariano Semmola, 80131 Napoli, Italy
Interests: head and neck oncology; immune-therapy; targeted therapy; pain therapy; electrochemotherapy; cancer diagnostics; treatment tumors; cancer biology; cancer biomarkers; tumor biology cancer; cell biology
Special Issues, Collections and Topics in MDPI journals

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Guest Editor
U.O.C. di Odontostomatologia, “AORN A. Cardarelli” Hospital, Via A. Cardarelli, 80131 Naples, Italy
Interests: oral cavity disease; head and neck oncology; pathology; biology; biomarkers; precancerous lesions
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

Oral cancer represents the most frequent malignancy of the head and neck area. Head and neck tumors, in turn, represent 8% of all malignant tumors and the fifth most common cause of death from malignant tumors worldwide. Among head and neck cancers, oral cancer has the worst prognosis, despite therapeutic improvements over the last 10 years. Our only real defense against oral cancer, at present, is secondary prevention and, therefore, early diagnosis.

The upcoming Special Issue will contain original articles, reviews, and an editorial with the aim of underlining the importance of the multidisciplinary approach: namely, the initial classification of the patient being conducted by multiple specialists in this subject area (oncologists, surgeons, radiation oncologists, pathologists, etc.).

Dr. Francesco Perri
Dr. Agostino Guida
Guest Editors

Manuscript Submission Information

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Keywords

  • oral cavity cancer
  • head and neck tumors
  • multidisciplinary approaches

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Published Papers (1 paper)

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Research

11 pages, 3018 KiB  
Article
Identification of Biomarkers for Diagnosis and Prognosis of Head and Neck Cancer: Bioinformatics Approach
by Alexandra Fernandes and Rui Vitorino
Targets 2024, 2(4), 470-480; https://doi.org/10.3390/targets2040026 - 6 Dec 2024
Viewed by 364
Abstract
Head and neck cancer (HNC) is the seventh most commonly diagnosed malignancy worldwide, and its incidence is expected to increase in coming years. Current diagnostic methods for HNC are often limited by suboptimal accuracy and speed, which can negatively impact therapeutic decision-making and [...] Read more.
Head and neck cancer (HNC) is the seventh most commonly diagnosed malignancy worldwide, and its incidence is expected to increase in coming years. Current diagnostic methods for HNC are often limited by suboptimal accuracy and speed, which can negatively impact therapeutic decision-making and patient outcomes. To address the shortcomings of conventional diagnostics, biomarker detection has attracted increasing clinical interest as a promising alternative. However, a major challenge is the identification of biomarkers with sufficient accuracy and sensitivity for HNC. The integration of bioinformatics tools with omics data analysis has proven to be a robust approach for biomarker discovery. In this study, we outline a bioinformatics protocol aimed at identifying differentially expressed genes (DEGs) in HNC and evaluating the diagnostic and prognostic relevance of specific genes, including FN1, LGALS3, MMP9, TIMP1, MMP2, and TIMP2, in this pathology. In addition, we performed an enrichment analysis for the genes of interest. The prognostic significance of the selected genes was evaluated in relation to patient survival. This study contributes to the growing body of knowledge by identifying potential biomarkers with diagnostic and prognostic utility in this malignancy. Full article
(This article belongs to the Special Issue Multidisciplinary Approach to Oral Cavity Cancer: An Hard Enemy)
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