The DOI matches its Crossref record; 19 of the 19 references it cites were found in a registry or an index.
Head and neck squamous cell carcinoma
Open accessAbstract
Most head and neck cancers are derived from the mucosal epithelium in the oral cavity, pharynx and larynx and are known collectively as head and neck squamous cell carcinoma (HNSCC). Oral cavity and larynx cancers are generally associated with tobacco consumption, alcohol abuse or both, whereas pharynx cancers are increasingly attributed to infection with human papillomavirus (HPV), primarily HPV-16. Thus, HNSCC can be separated into HPV-negative and HPV-positive HNSCC. Despite evidence of histological progression from cellular atypia through various degrees of dysplasia, ultimately leading to invasive HNSCC, most patients are diagnosed with late-stage HNSCC without a clinically evident antecedent pre-malignant lesion. Traditional staging of HNSCC using the tumour–node–metastasis system has been supplemented by the 2017 AJCC/UICC staging system, which incorporates additional information relevant to HPV-positive disease. Treatment is generally multimodal, consisting of surgery followed by chemoradiotherapy (CRT) for oral cavity cancers and primary CRT for pharynx and larynx cancers. The EGFR monoclonal antibody cetuximab is generally used in combination with radiation in HPV-negative HNSCC where comorbidities prevent the use of cytotoxic chemotherapy. The FDA approved the immune checkpoint inhibitors pembrolizumab and nivolumab for treatment of recurrent or metastatic HNSCC and pembrolizumab as primary treatment for unresectable disease. Elucidation of the molecular genetic landscape of HNSCC over the past decade has revealed new opportunities for therapeutic intervention. Ongoing efforts aim to integrate our understanding of HNSCC biology and immunobiology to identify predictive biomarkers that will enable delivery of the most effective, least-toxic therapies. Head and neck squamous cell carcinomas (HNSCCs) originate from the mucosal epithelium in the oral cavity, pharynx and larynx and are commonly associated with viral infection and tobacco use. This Primer provides an overview of the epidemiology, pathogenesis and treatment of HNSCCs of different aetiologies and the effects of the cancer and its treatment on patient quality of life.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Bray, F., Ferlay, J., Soerjomataram, I., Siegel, R. L., Torre, L. A., & Jemal, A. (2018) · CA: A Cancer Journal for Clinicians · doi:10.3322/caac.21492 · Cited by 84,109
Estimating the global cancer incidence and mortality in 2018: GLOBOCAN sources and methods
Ferlay, J., Colombet, M., Soerjomataram, I., Mathers, C., Parkin, D. M., Piñeros, M., Znaor, A., & Bray, F. (2019) · International Journal of Cancer · doi:10.1002/ijc.31937 · Cited by 7,553
Nivolumab for Recurrent Squamous-Cell Carcinoma of the Head and Neck
Ferris, R. L., Blumenschein, G., Fayette, J., Guigay, J., Colevas, A. D., Licitra, L., Harrington, K., Kasper, S., Vokes, E. E., Even, C., et al. (2016) · New England Journal of Medicine · doi:10.1056/nejmoa1602252 · Cited by 5,101
Burtness, B., Harrington, K. J., Greil, R., Soulières, D., Tahara, M., de Castro, G., Psyrri, A., Basté, N., Neupane, P., Bratland, Å., et al. (2019) · The Lancet · doi:10.1016/s0140-6736(19)32591-7 · Cited by 3,336
Self-citationThe human papilloma virus-16 E7-oncoprotein is able to bind to the retinoblastoma gene product
Dyson, N., Howley, P. M., Münger, K., & Harlow, E. (1989) · Science · doi:10.1126/science.2537532 · Cited by 3,017
Seiwert, T. Y., Burtness, B., Mehra, R., Weiss, J., Berger, R., Eder, J. P., Heath, K., McClanahan, T., Lunceford, J., Gause, C., et al. (2016) · The Lancet Oncology · doi:10.1016/s1470-2045(16)30066-3 · Cited by 1,745
Self-citationDirect regulation of TWIST by HIF-1α promotes metastasis
Yang, M.-H., Wu, M.-Z., Chiou, S.-H., Chen, P.-M., Chang, S.-Y., Liu, C.-J., Teng, S.-C., & Wu, K.-J. (2008) · Nature Cell Biology · doi:10.1038/ncb1691 · Cited by 1,345
Meites, E., Szilagyi, P. G., Chesson, H. W., Unger, E. R., Romero, J. R., & Markowitz, L. E. (2019) · MMWR. Morbidity and Mortality Weekly Report · doi:10.15585/mmwr.mm6832a3 · Cited by 1,025
A natural killer–dendritic cell axis defines checkpoint therapy–responsive tumor microenvironments
Barry, K. C., Hsu, J., Broz, M. L., Cueto, F. J., Binnewies, M., Combes, A. J., Nelson, A. E., Loo, K., Kumar, R., Rosenblum, M. D., et al. (2018) · Nature Medicine · doi:10.1038/s41591-018-0085-8 · Cited by 1,021
Loss of p53 drives neuron reprogramming in head and neck cancer
Amit, M., Takahashi, H., Dragomir, M. P., Lindemann, A., Gleber-Netto, F. O., Pickering, C. R., Anfossi, S., Osman, A. A., Cai, Y., Wang, R., et al. (2020) · Nature · doi:10.1038/s41586-020-1996-3 · Cited by 483
Cited by
Arora, R., Cao, C., Kumar, M., Sinha, S., Chanda, A., McNeil, R., Samuel, D., Arora, R. K., Matthews, T. W., Chandarana, S., et al. (2023) · Nature Communications · doi:10.1038/s41467-023-40271-4 · Cited by 325
A Review on Annona muricata and Its Anticancer Activity
Ilango, S., Sahoo, D. K., Paital, B., Kathirvel, K., Gabriel, J. I., Subramaniam, K., Jayachandran, P., Dash, R. K., Hati, A. K., Behera, T. R., et al. (2022) · Cancers · doi:10.3390/cancers14184539 · Cited by 91
Zhang, H., Yin, X., Zhang, X., Zhou, M., Xu, W., Wei, Z., Song, C., Han, S., & Han, W. (2022) · Technology in Cancer Research & Treatment · doi:10.1177/15330338221118202 · Cited by 40
Breath VOC analysis and machine learning approaches for disease screening: a review
P, H., Rangarajan, M., & Pandya, H. J. (2023) · Journal of Breath Research · doi:10.1088/1752-7163/acb283 · Cited by 37
Exosomes: Potential Biomarkers and Functions in Head and Neck Squamous Cell Carcinoma
Li, T., Li, J., Wang, H., Zhao, J., Yan, M., He, H., & Yu, S. (2022) · Frontiers in Molecular Biosciences · doi:10.3389/fmolb.2022.881794 · Cited by 18
Metadata
- Authors
- Johnson, D. E., Burtness, B., Leemans, C. R., Lui, V. W. Y., Bauman, J. E., & Grandis, J. R.
- Venue
- Nature Reviews Disease Primers
- Published
- 2020-11-26
- Volume
- 6
- Issue
- 1
- Pages
- 92-92
- ISSN
- 2056-676X (ISSN-L)
- OpenAlex
- W3107533236
- Cited by
- 4,067
- References
- 19
- FWCI
- 88.45
- Type
- journal article
- Language
- en
- Open access
- hybrid
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Head and neck squamous cell carcinoma. https://app.cochat.ai/papers/10.1038/s41572-020-00224-3
- The paper
- Johnson, D. E., Burtness, B., Leemans, C. R., Lui, V. W. Y., Bauman, J. E., & Grandis, J. R. (2020). Head and neck squamous cell carcinoma. Nature Reviews Disease Primers. https://doi.org/10.1038/s41572-020-00224-3
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.
