Head and Neck Cancers 2.0: Diagnostics, Prognostic Biomarkers and Therapeutic Advances for Primary Tumors and Metastasis
A special issue of International Journal of Molecular Sciences (ISSN 1422-0067). This special issue belongs to the section "Molecular Pathology, Diagnostics, and Therapeutics".
Deadline for manuscript submissions: closed (30 November 2020) | Viewed by 8294
Special Issue Editor
Interests: solid tumor phenotyping; prognostic tumor biomarkers; predictive tumor biomarkers; immunohistochemistry; in situ proteomics; head and neck cancer; tissue biomarkers for new therapy protocols (i.e., immunotherapy); digital pathology applied to tumor phenotyping
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
The biology of head and neck (H&N) cancers shows a high rate of inter- and intra-tumor variability, as well as the morphology and cancer stage at diagnosis.
As a rule, a lower survival of H&N cancer patients has been associated with either the up-regulation of the genes involved in cell growth and the proliferation and down-regulation of genes involved in cellular differentiation. However, recently, systems biology analysis has revealed that the gene expression of individual H&N cancers may show a level of molecular heterogeneity that exceeds the variation observed between distinct cancer histotypes.
To this end, the various prognostic biomarkers proposed to individualize the evaluation of the clinical outcomes are inapplicable to all H&N cancers.
There is an urgent need to generate personalized genomic, metabolic, and phenotypic-scale models to identify the molecular mechanisms and key drivers of tumor growth and the metastasizing ability of each H&N cancer case.
We need to fully understand the impressive heterogeneity of these cancers, turning the gap of the molecular differences toward a powerful new tool for the personalized medicine for H&N cancer treatment.
This monothematic Issue aims to gather the most recent in-depth studies about H&N cancers, ranging from the analysis of the available active open access genome and proteome databases, to the exploration of the impact of the individual protein expression on the biological aggressiveness of cancers, exploring the molecular routes for the prediction of responses to conventional radio/chemotherapy and/or target or immunotherapy, also using systems-level analyses of the significance of H&N cancer molecular alterations.
Prof. Dr. Stefania Staibano
Guest Editor
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Keywords
- H&N cancer biology
- Tumor heterogeneity
- Tissue prognostic biomarkers
- Predictive tissue biomarkers
- System level analysis
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