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Cited by 508

The DOI matches its Crossref record; 79 of the 79 references it cites were found in a registry or an index.

Molecular Pathology of Head and Neck Cancer: Implications for Diagnosis, Prognosis, and Treatment

Open access
Pai, Sara I., Westra, William H.·2009·Annual Review of Pathology: Mechanisms of Disease

Abstract

The prototypic head and neck squamous cell carcinoma (HNSCC) arises from the mucosal lining of the upper aerodigestive tract, demonstrates squamous differentiation microscopically, involves older men with a long history of cigarette smoking and alcohol consumption, and is treated by multimodality therapy. HNSCC has long been regarded as a uniform disease process requiring a methodical and unwavering therapeutic approach. Divergence in epidemiologic trends among HNSCCs arising from different anatomic sites has introduced a view that, morphologic repetition aside, head and neck cancers form a heterogeneous group. This view has been supported at the molecular genetic level. A more complete understanding of the molecular genetics of head and neck cancer is providing new insights into long-held but poorly comprehended concepts such as field cancerization and is introducing various biomarkers with potential application for diagnosing, staging, monitoring, and prognosticating HNSCC.

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Crossref · 10.1146/annurev.pathol.4.110807.092158

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Metadata

Authors
Pai, S. I., & Westra, W. H.
Venue
Annual Review of Pathology: Mechanisms of Disease
Published
2009-02-01
Volume
4
Issue
1
Pages
49-70
ISSN
  • 1553-4006 (ISSN-L)
  • 1553-4014
OpenAlex
W2126994971
Cited by
508
References
79
FWCI
2.69
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: Molecular Pathology of Head and Neck Cancer: Implications for Diagnosis, Prognosis, and Treatment. https://app.cochat.ai/papers/10.1146/annurev.pathol.4.110807.092158
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Pai, S. I., & Westra, W. H. (2009). Molecular Pathology of Head and Neck Cancer: Implications for Diagnosis, Prognosis, and Treatment. Annual Review of Pathology: Mechanisms of Disease. https://doi.org/10.1146/annurev.pathol.4.110807.092158

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.