Article ; Online: The 3D's of Neural Phenotypes in Oral Cancer: Distance, Diameter, and Density.
Advanced biology
2022 Volume 7, Issue 2, Page(s) e2200188
Abstract: Squamous cell carcinoma of the oral cavity (OSCC) is the most common type of head and neck cancer; survival is poor, and response to treatment varies. Metastasis or recurrence in the regional lymph nodes is associated with poor survival. Consequently, ... ...
Abstract | Squamous cell carcinoma of the oral cavity (OSCC) is the most common type of head and neck cancer; survival is poor, and response to treatment varies. Metastasis or recurrence in the regional lymph nodes is associated with poor survival. Consequently, overt or occult spread to the lymph nodes is used to identify patients who will receive adjuvant radiation therapy. Perineural invasion and the diameter of nerves exhibiting perineural invasion have also been suggested to be of prognostic significance. The explosion of interest in cancer neuroscience in the last two decades has led to novel biological insights into interactions between nerves and tumor cells. However, the criteria for defining perineural invasion have lagged behind current knowledge. It is important to re-evaluate the concept of perineural invasion and identify other neural phenotypes in OSCC that can impact treatment selection and prognosis. In addition to perineural invasion, neural phenotypes that are of potential relevance to tumor progression include nerve-tumor distance, nerve diameter, and nerve density. This manuscript discusses the translational significance of recent mechanistic studies on the progression of oral cancer. |
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MeSH term(s) | Humans ; Neoplasm Invasiveness ; Mouth Neoplasms ; Prognosis ; Head and Neck Neoplasms ; Lymph Nodes/pathology |
Language | English |
Publishing date | 2022-11-14 |
Publishing country | Germany |
Document type | Journal Article ; Review ; Research Support, N.I.H., Extramural |
ISSN | 2701-0198 |
ISSN (online) | 2701-0198 |
DOI | 10.1002/adbi.202200188 |
Database | MEDical Literature Analysis and Retrieval System OnLINE |
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