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Biomedicines
Special Issues
Novel Approaches towards Targeted Head and Neck Cancer Therapies
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Novel Approaches towards Targeted Head and Neck Cancer Therapies

A special issue of Biomedicines (ISSN 2227-9059). This special issue belongs to the section "Cancer Biology and Oncology".

Deadline for manuscript submissions: 31 January 2025 | Viewed by 1965

Special Issue Editor

Dr. Emilia Wiecheć

E-Mail Website
Guest Editor
Department of Biomedical and Clinical Sciences (BKV), Division of Cell Biology, Linköping University, Region Östergötland, 58185 Linköping, Sweden
Interests: head and neck cancer; cancer stem cells; biomarkers of treatment response; 3D tumor models; genetic and epigenetics of cancer cells; cancer metabolism EditInterests:

Special Issue Information

Dear Colleagues,

Head and neck cancer is often a highly malignant disease that is etiologically and genetically complex, and notoriously difficult to treat. Recent advances in our understanding of head and neck cancer biology have prompted us to compile this Special Issue. The research helping to uncover the unique properties of head and neck cancer has not only initiated the development of targeted therapies (therapies targeted at specific, upregulated signaling pathways and/or unique mutations frequently present in the particular cancer), such as EGFR-inhibitors and, to a certain extent, VEGF inhibitors, but has also helped to improve the efficacy of both classical chemotherapy protocols as well as radiotherapy. This Special Issue aims to gather manuscripts advancing our general knowledge of head and neck cancer biology, the development of novel therapies, as well as the communication on progress/improvement of classical therapies, including clinical trials.

Dr. Emilia Wiecheć
Guest Editor

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Biomedicines is an international peer-reviewed open access monthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • EGFR
  • VEGFR
  • RET
  • MET
  • PI3K
  • radiotherapy
  • chemotherapy
  • immunotherapy
  • HPV
  • preclinical HNSCC model
  • biomarkers of treatment response

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Published Papers (2 papers)

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Research

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14 pages, 1466 KiB  
Article
The Impact of Clinical Prognosis of Viral Hepatitis in Head and Neck Cancer Patients Receiving Concurrent Chemoradiotherapy
by Yu-Ming Wang, Sheng-Dean Luo, Ching-Nung Wu, Shao-Chun Wu, Wei-Chih Chen, Yao-Hsu Yang and Tai-Jan Chiu
Biomedicines 2023, 11(11), 2946; https://doi.org/10.3390/biomedicines11112946 - 1 Nov 2023
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Abstract
This study evaluated the clinical characteristics of head and neck cancer (HNC) patients with hepatitis B (HBV) or hepatitis C (HCV) who underwent concurrent chemoradiotherapy (CCRT) and examined the prognostic impact of antiviral therapies. In a 19-year retrospective analysis of 8224 HNC patients [...] Read more.
This study evaluated the clinical characteristics of head and neck cancer (HNC) patients with hepatitis B (HBV) or hepatitis C (HCV) who underwent concurrent chemoradiotherapy (CCRT) and examined the prognostic impact of antiviral therapies. In a 19-year retrospective analysis of 8224 HNC patients treated with CCRT, 29.8% (2452) were diagnosed with HBV or HCV, of whom 714 received antiviral therapy. For non-metastatic HNC patients on CCRT, factors such as gender, Charlson Comorbidity Index (CCI), liver cirrhosis markers (Fibrosis-4, APRI), and initial tumor stage were significant determinants of their overall survival. However, the presence of HBV or HCV and the administration of antiviral treatments did not yield distinct survival outcomes. In summary, antiviral therapy for HBV or HCV did not affect the 5-year survival rates of non-metastatic HNC patients undergoing CCRT, while gender, tumor stage, CCI, and liver cirrhosis were notable prognostic indicators. Full article
(This article belongs to the Special Issue Novel Approaches towards Targeted Head and Neck Cancer Therapies)
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Review

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22 pages, 2354 KiB  
Review
Advancements in Hyperspectral Imaging and Computer-Aided Diagnostic Methods for the Enhanced Detection and Diagnosis of Head and Neck Cancer
by I-Chen Wu, Yen-Chun Chen, Riya Karmakar, Arvind Mukundan, Gahiga Gabriel, Chih-Chiang Wang and Hsiang-Chen Wang
Biomedicines 2024, 12(10), 2315; https://doi.org/10.3390/biomedicines12102315 - 11 Oct 2024
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Abstract
Background/Objectives: Head and neck cancer (HNC), predominantly squamous cell carcinoma (SCC), presents a significant global health burden. Conventional diagnostic approaches often face challenges in terms of achieving early detection and accurate diagnosis. This review examines recent advancements in hyperspectral imaging (HSI), integrated with [...] Read more.
Background/Objectives: Head and neck cancer (HNC), predominantly squamous cell carcinoma (SCC), presents a significant global health burden. Conventional diagnostic approaches often face challenges in terms of achieving early detection and accurate diagnosis. This review examines recent advancements in hyperspectral imaging (HSI), integrated with computer-aided diagnostic (CAD) techniques, to enhance HNC detection and diagnosis. Methods: A systematic review of seven rigorously selected studies was performed. We focused on CAD algorithms, such as convolutional neural networks (CNNs), support vector machines (SVMs), and linear discriminant analysis (LDA). These are applicable to the hyperspectral imaging of HNC tissues. Results: The meta-analysis findings indicate that LDA surpasses other algorithms, achieving an accuracy of 92%, sensitivity of 91%, and specificity of 93%. CNNs exhibit moderate performance, with an accuracy of 82%, sensitivity of 77%, and specificity of 86%. SVMs demonstrate the lowest performance, with an accuracy of 76% and sensitivity of 48%, but maintain a high specificity level at 89%. Additionally, in vivo studies demonstrate superior performance when compared to ex vivo studies, reporting higher accuracy (81%), sensitivity (83%), and specificity (79%). Conclusion: Despite these promising findings, challenges persist, such as HSI’s sensitivity to external conditions, the need for high-resolution and high-speed imaging, and the lack of comprehensive spectral databases. Future research should emphasize dimensionality reduction techniques, the integration of multiple machine learning models, and the development of extensive spectral libraries to enhance HSI’s clinical utility in HNC diagnostics. This review underscores the transformative potential of HSI and CAD techniques in revolutionizing HNC diagnostics, facilitating more accurate and earlier detection, and improving patient outcomes. Full article
(This article belongs to the Special Issue Novel Approaches towards Targeted Head and Neck Cancer Therapies)
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