The DOI matches its Crossref record; 82 of the 82 references it cites were found in a registry or an index.
Nasopharyngeal carcinoma
Abstract
Nasopharyngeal carcinoma is characterised by distinct geographical distribution and is particularly prevalent in east and southeast Asia. Epidemiological trends in the past decade have shown that its incidence has declined gradually but progressively, and mortality has been reduced substantially. These findings probably reflect lifestyle and environmental changes, enhanced understanding of the pathogenesis and risk factors, population screening, advancements in imaging techniques, and individualised comprehensive chemoradiotherapy strategies. In particular, plasma Epstein-Barr virus (EBV) DNA has been used for population screening, prognostication, predicting treatment response for therapeutic adaptation, and disease surveillance. Moreover, the widespread application of intensity-modulated radiotherapy and optimisation of chemotherapy strategies (induction, concurrent, adjuvant) have contributed to improved survival with reduced toxicities. Among the existing developments in novel therapeutics, immune checkpoint therapies have achieved breakthroughs for treating recurrent or metastatic disease and represent a promising future direction in nasopharyngeal carcinoma.
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
(2017) · Springer eBooks · doi:10.1007/978-3-319-40618-3 · Cited by 17,242
Cancer statistics in China, 2015
Chen, W., Zheng, R., Baade, P. D., Zhang, S., Zeng, H., Bray, F., Jemal, A., Yu, X. Q., & He, J. (2016) · CA: A Cancer Journal for Clinicians · doi:10.3322/caac.21338 · Cited by 17,038
Radiomics: Images Are More than Pictures, They Are Data
Gillies, R. J., Kinahan, P. E., & Hricak, H. (2016) · Radiology · doi:10.1148/radiol.2015151169 · Cited by 8,421
Mutational landscape determines sensitivity to PD-1 blockade in non–small cell lung cancer
Rizvi, N. A., Hellmann, M. D., Snyder, A., Kvistborg, P., Makarov, V., Havel, J. J., Lee, W., Yuan, J., Wong, P., Ho, T. S., et al. (2015) · Science · doi:10.1126/science.aaa1348 · Cited by 7,802
The Immune Landscape of Cancer
Thorsson, V., Gibbs, D. L., Brown, S. D., Wolf, D., Bortone, D. S., Ou Yang, T.-H., Porta-Pardo, E., Gao, G. F., Plaisier, C. L., Eddy, J. A., et al. (2018) · Immunity · doi:10.1016/j.immuni.2018.03.023 · Cited by 5,870
Self-citationNeoantigens in cancer immunotherapy
Schumacher, T. N., & Schreiber, R. D. (2015) · Science · doi:10.1126/science.aaa4971 · Cited by 4,783
Al-Sarraf, M., LeBlanc, M., Giri, P. G., Fu, K. K., Cooper, J., Vuong, T., Forastiere, A. A., Adams, G., Sakr, W. A., Schuller, D. E., et al. (1998) · Journal of Clinical Oncology · doi:10.1200/jco.1998.16.4.1310 · Cited by 2,222
Davoli, T., Uno, H., Wooten, E. C., & Elledge, S. J. (2017) · Science · doi:10.1126/science.aaf8399 · Cited by 1,360
Chua, M. L. K., Wee, J. T. S., Hui, E. P., & Chan, A. T. C. (2016) · The Lancet · doi:10.1016/s0140-6736(15)00055-0 · Cited by 1,236
Self-citation
Cited by
Qiu, H., Cao, S., & Xu, R. (2021) · Cancer Communications · doi:10.1002/cac2.12197 · Cited by 1,015
The potential role of RNA N6-methyladenosine in Cancer progression
Wang, T., Kong, S., Tao, M., & Ju, S. (2020) · Molecular Cancer · doi:10.1186/s12943-020-01204-7 · Cited by 1,013
Mai, H.-Q., Chen, Q.-Y., Chen, D., Hu, C., Yang, K., Wen, J., Li, J., Shi, Y.-R., Jin, F., Xu, R., et al. (2021) · Nature Medicine · doi:10.1038/s41591-021-01444-0 · Cited by 396
Self-citationWang, F.-H., Wei, X.-L., Feng, J., Li, Q., Xu, N., Hu, X.-C., Liao, W., Jiang, Y., Lin, X.-Y., Zhang, Q.-Y., et al. (2021) · Journal of Clinical Oncology · doi:10.1200/jco.20.02712 · Cited by 348
Self-citationMai, H.-Q., Chen, Q.-Y., Chen, D., Hu, C., Yang, K., Wen, J., Li, J., Shi, Y., Jin, F., Xu, R., et al. (2023) · JAMA · doi:10.1001/jama.2023.20181 · Cited by 279
Self-citation
Metadata
- Authors
- Chen, Y.-P., Chan, A. T. C., Le, Q.-T., Blanchard, P., Sun, Y., & Ma, J.
- Venue
- The Lancet
- Publisher
- Elsevier BV
- Published
- 2019-07
- Volume
- 394
- Issue
- 10192
- Pages
- 64-80
- ISSN
- 0099-5355 (ISSN-L)
- 0140-6736
- OpenAlex
- W4211017340
- Cited by
- 3,077
- References
- 82
- FWCI
- 203.75
- Type
- journal article
- Language
- en
- Open access
- closed
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: Nasopharyngeal carcinoma. https://app.cochat.ai/papers/10.1016/s0140-6736(19)30956-0
- The paper
- Chen, Y.-P., Chan, A. T. C., Le, Q.-T., Blanchard, P., Sun, Y., & Ma, J. (2019). Nasopharyngeal carcinoma. The Lancet. https://doi.org/10.1016/s0140-6736(19)30956-0
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.