The DOI matches its Crossref record; 36 of the 36 references it cites were found in a registry or an index.
Tumour-infiltrating lymphocytes predict for outcome in HPV-positive oropharyngeal cancer
Open accessAbstract
BACKGROUND: Human papillomavirus (HPV)-positive oropharyngeal cancer (OPSCC) is associated with improved survival compared with HPV-negative disease. However, a minority of HPV-positive patients have poor prognosis. Currently, there is no generally accepted strategy for identifying these patients. METHODS: We retrospectively analysed 270 consecutively treated OPSCC patients from three centres for effects of clinical, pathological, immunological, and molecular features on disease mortality. We used Cox regression to examine associations between factors and OPSCC death, and developed a prognostic model for 3-year mortality using logistic regression analysis. RESULTS: Patients with HPV-positive tumours showed improved survival (hazard ratio (HR), 0.33 (0.21-0.53)). High levels of tumour-infiltrating lymphocytes (TILs) stratified HPV-positive patients into high-risk and low-risk groups (3-year survival; HPV-positive/TIL(high)=96%, HPV-positive/TIL(low)=59%). Survival of HPV-positive/TIL(low) patients did not differ from HPV-negative patients (HR, 1.01; P=0.98). We developed a prognostic model for HPV-positive tumours using a 'training' cohort from one centre; the combination of TIL levels, heavy smoking, and T-stage were significant (AUROC=0·87). This model was validated on patients from the other centres (detection rate 67%; false-positive rate 5.6%; AUROC=0·82). INTERPRETATION: Our data suggest that an immune response, reflected by TIL levels in the primary tumour, has an important role in the improved survival seen in most HPV-positive patients, and is relevant for the clinical evaluation of HPV-positive OPSCC.
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Human Papillomavirus and Survival of Patients with Oropharyngeal Cancer
Ang, K. K., Harris, J., Wheeler, R., Weber, R., Rosenthal, D. I., Nguyen-Tân, P. F., Westra, W. H., Chung, C. H., Jordan, R. C., Lu, C., et al. (2010) · New England Journal of Medicine · doi:10.1056/nejmoa0912217 · Cited by 6,566
Type, Density, and Location of Immune Cells Within Human Colorectal Tumors Predict Clinical Outcome
Galon, J., Costes, A., Sanchez-Cabo, F., Kirilovsky, A., Mlecnik, B., Lagorce-Pagès, C., Tosolini, M., Camus, M., Berger, A., Wind, P., et al. (2006) · Science · doi:10.1126/science.1129139 · Cited by 6,516
Human Papillomavirus and Rising Oropharyngeal Cancer Incidence in the United States
Chaturvedi, A. K., Engels, E. A., Pfeiffer, R. M., Hernandez, B. Y., Xiao, W., Kim, E., Jiang, B., Goodman, M. T., Sibug-Saber, M., Cozen, W., et al. (2011) · Journal of Clinical Oncology · doi:10.1200/jco.2011.36.4596 · Cited by 3,638
Time‐Dependent ROC Curves for Censored Survival Data and a Diagnostic Marker
Heagerty, P. J., Lumley, T., & Pepe, M. S. (2000) · Biometrics · doi:10.1111/j.0006-341x.2000.00337.x · Cited by 2,854
Fakhry, C., Westra, W. H., Li, S., Cmelak, A., Ridge, J. A., Pinto, H., Forastiere, A., & Gillison, M. L. (2008) · JNCI Journal of the National Cancer Institute · doi:10.1093/jnci/djn011 · Cited by 2,779
Case–Control Study of Human Papillomavirus and Oropharyngeal Cancer
D'Souza, G., Kreimer, A. R., Viscidi, R., Pawlita, M., Fakhry, C., Koch, W. M., Westra, W. H., & Gillison, M. L. (2007) · New England Journal of Medicine · doi:10.1056/nejmoa065497 · Cited by 2,692
Diagnostic tests 4: likelihood ratios
Deeks, J. J., & Altman, D. G. (2004) · BMJ · doi:10.1136/bmj.329.7458.168 · Cited by 1,600
REporting recommendations for tumour MARKer prognostic studies (REMARK).
for the Statistics Subcommittee of the NCI-EORTC Working Group on Cancer Diagnostics, McShane, L. M., Altman, D. G., Sauerbrei, W., Taube, S. E., Gion, M., & Clark, G. M. (2005) · British Journal of Cancer · doi:10.1038/sj.bjc.6602678 · Cited by 1,394
Gooden, M. J. M., de Bock, G. H., Leffers, N., Daemen, T., & Nijman, H. W. (2011) · British Journal of Cancer · doi:10.1038/bjc.2011.189 · Cited by 1,277
Prognosis and prognostic research: Developing a prognostic model
Royston, P., Moons, K. G. M., Altman, D. G., & Vergouwe, Y. (2009) · BMJ · doi:10.1136/bmj.b604 · Cited by 1,172
Cited by
Carcinogenic human papillomavirus infection
Schiffman, M., Doorbar, J., Wentzensen, N., de Sanjosé, S., Fakhry, C., Monk, B. J., Stanley, M. A., & Franceschi, S. (2016) · Nature Reviews Disease Primers · doi:10.1038/nrdp.2016.86 · Cited by 999
Ganesan, A.-P., Clarke, J., Wood, O., Garrido-Martin, E. M., Chee, S. J., Mellows, T., Samaniego-Castruita, D., Singh, D., Seumois, G., Alzetani, A., et al. (2017) · Nature Immunology · doi:10.1038/ni.3775 · Cited by 528
Self-citationPan-cancer deconvolution of tumour composition using DNA methylation
Chakravarthy, A., Furness, A., Joshi, K., Ghorani, E., Ford, K., Ward, M. J., King, E. V., Lechner, M., Marafioti, T., Quezada, S. A., et al. (2018) · Nature Communications · doi:10.1038/s41467-018-05570-1 · Cited by 327
Self-citationTargeting the Myofibroblastic Cancer-Associated Fibroblast Phenotype Through Inhibition of NOX4
Hanley, C. J., Mellone, M., Ford, K., Thirdborough, S. M., Mellows, T., Frampton, S. J., Smith, D. M., Harden, E., Szyndralewiez, C., Bullock, M., et al. (2018) · JNCI: Journal of the National Cancer Institute · doi:10.1093/jnci/djx121 · Cited by 195
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Metadata
- Authors
- Ward, M. J., Thirdborough, S. M., Mellows, T., Riley, C., Harris, S., Suchak, K., Webb, A., Hampton, C., Patel, N. N., Randall, C. J., Cox, H. J., Jogai, S., Primrose, J., Piper, K., Ottensmeier, C. H., King, E. V., & Thomas, G. J.
- Venue
- British Journal of Cancer
- Published
- 2013-10-29
- Volume
- 110
- Issue
- 2
- Pages
- 489-500
- ISSN
- 0007-0920 (ISSN-L)
- 1532-1827
- OpenAlex
- W2061572018
- Cited by
- 391
- References
- 36
- FWCI
- 20.55
- Type
- journal article
- Language
- en
- Open access
- hybrid
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- Ward, M. J., Thirdborough, S. M., Mellows, T., Riley, C., Harris, S., Suchak, K., Webb, A., Hampton, C., Patel, N. N., Randall, C. J., Cox, H. J., Jogai, S., Primrose, J., Piper, K., Ottensmeier, C. H., King, E. V., & Thomas, G. J. (2014). Tumour-infiltrating lymphocytes predict for outcome in HPV-positive oropharyngeal cancer. British Journal of Cancer. https://doi.org/10.1038/bjc.2013.639
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