Prediction of survival of HPV16-negative, p16-negative oral cavity cancer patients using a 13-gene signature: A multicenter study using FFPE samples. (January 2020)
- Record Type:
- Journal Article
- Title:
- Prediction of survival of HPV16-negative, p16-negative oral cavity cancer patients using a 13-gene signature: A multicenter study using FFPE samples. (January 2020)
- Main Title:
- Prediction of survival of HPV16-negative, p16-negative oral cavity cancer patients using a 13-gene signature: A multicenter study using FFPE samples
- Authors:
- Chen, Chu
Lohavanichbutr, Pawadee
Zhang, Yuzheng
Houck, John R.
Upton, Melissa P.
Abedi-Ardekani, Behnoush
Agudo, Antonio
Ahrens, Wolfgang
Alemany, Laia
Anantharaman, Devasena
Conway, David I.
Futran, Neal D.
Holcatova, Ivana
Günther, Kathrin
Hansen, Bo T.
Healy, Claire M.
Itani, Doha
Kjaerheim, Kristina
Monroe, Marcus M.
Thomson, Peter J.
Witt, Benjamin L.
Nakoneshny, Steven
Peterson, Lisa A.
Schwartz, Stephen M.
Zarins, Katie R.
Hashibe, Mia
Brennan, Paul
Rozek, Laura S.
Wolf, Gregory
Dort, Joseph C.
Wang, Pei
… (more) - Abstract:
- Highlights: Studied incident squamous oral cavity cancers in North America and Western Europe. Focused on patients with HPV16-negative and p16-negative oral cavity cancers. A 2-phase study of a 13-gene signature for predicting oral cavity cancer survival. Compared models with and without the signature for early, and late, stage disease. Substantial improvement in predicting early stage disease survival with signature. Abstract: Objectives: To test the performance of an oral cancer prognostic 13-gene signature for the prediction of survival of patients diagnosed with HPV-negative and p16-negative oral cavity cancer. Materials and Methods: Diagnostic formalin-fixed paraffin-embedded oral cavity cancer tumor samples were obtained from the Fred Hutchinson Cancer Research Center/University of Washington, University of Calgary, University of Michigan, University of Utah, and seven ARCAGE study centers coordinated by the International Agency of Research on Cancer. RNA from 638 Human Papillomavirus (HPV)-negative and p16-negative samples was analyzed for the 13 genes using a NanoString assay. Ridge-penalized Cox regressions were applied to samples randomly split into discovery and validation sets to build models and evaluate the performance of the 13-gene signature in predicting 2-year oral cavity cancer-specific survival overall and separately for patients with early and late stage disease. Results: Among AJCC stage I/II patients, including the 13-gene signature in the modelHighlights: Studied incident squamous oral cavity cancers in North America and Western Europe. Focused on patients with HPV16-negative and p16-negative oral cavity cancers. A 2-phase study of a 13-gene signature for predicting oral cavity cancer survival. Compared models with and without the signature for early, and late, stage disease. Substantial improvement in predicting early stage disease survival with signature. Abstract: Objectives: To test the performance of an oral cancer prognostic 13-gene signature for the prediction of survival of patients diagnosed with HPV-negative and p16-negative oral cavity cancer. Materials and Methods: Diagnostic formalin-fixed paraffin-embedded oral cavity cancer tumor samples were obtained from the Fred Hutchinson Cancer Research Center/University of Washington, University of Calgary, University of Michigan, University of Utah, and seven ARCAGE study centers coordinated by the International Agency of Research on Cancer. RNA from 638 Human Papillomavirus (HPV)-negative and p16-negative samples was analyzed for the 13 genes using a NanoString assay. Ridge-penalized Cox regressions were applied to samples randomly split into discovery and validation sets to build models and evaluate the performance of the 13-gene signature in predicting 2-year oral cavity cancer-specific survival overall and separately for patients with early and late stage disease. Results: Among AJCC stage I/II patients, including the 13-gene signature in the model resulted in substantial improvement in the prediction of 2-year oral cavity cancer-specific survival. For models containing age and sex with and without the 13-gene signature score, the areas under the Receiver Operating Characteristic Curve (AUC) and partial AUC were 0.700 vs. 0.537 (p < 0.001), and 0.046 vs. 0.018 (p < 0.001), respectively. Improvement in predicting prognosis for AJCC stage III/IV disease also was observed, but to a lesser extent. Conclusions: If confirmed using tumor samples from a larger number of early stage oral cavity cancer patients, the 13-gene signature may inform personalized treatment of early stage HPV-negative and p16-negative oral cavity cancer patients. … (more)
- Is Part Of:
- Oral oncology. Volume 100(2020)
- Journal:
- Oral oncology
- Issue:
- Volume 100(2020)
- Issue Display:
- Volume 100, Issue 2020 (2020)
- Year:
- 2020
- Volume:
- 100
- Issue:
- 2020
- Issue Sort Value:
- 2020-0100-2020-0000
- Page Start:
- Page End:
- Publication Date:
- 2020-01
- Subjects:
- Oral cancer -- Oral cavity cancer -- Prognostic gene signature -- HPV -- P16 -- Prognosis
OSCC squamous cell carcinoma of the oral cavity and oropharynx -- OCC squamous oral cavity cancer -- OPC squamous cell oropharyngeal cancer -- HNC head and neck squamous cell cancers -- FFPE formalin-fixed paraffin-embedded -- HPV human papillomavirus -- FH/UW Fred Hutchinson Cancer Research Center and the University of Washington -- UC the University of Calgary, Canada -- UM University of Michigan -- UU University of Utah -- IARC International Agency for Research on Cancer -- the ARCAGE study Alcohol-related cancers and genetic susceptibility in Europe study -- IHC immunohistochemistry -- H&E hematoxylin and eosin -- AJCC American Joint Committee on Cancer -- PPV positive predictive value -- NPV negative predictive value -- AUC areas under the curve -- pAUC partial areas under the curve
Mouth -- Cancer -- Periodicals
Mouth -- Tumors -- Periodicals
Mouth Diseases -- Periodicals
Mouth Neoplasms -- Periodicals
Bouche -- Cancer -- Périodiques
Bouche -- Tumeurs -- Périodiques
Tumeurs -- Périodiques
Electronic journals
616.9943105 - Journal URLs:
- http://www.sciencedirect.com/science/journal/13688375 ↗
http://www.clinicalkey.com/dura/browse/journalIssue/13688375 ↗
http://www.elsevier.com/journals ↗ - DOI:
- 10.1016/j.oraloncology.2019.104487 ↗
- Languages:
- English
- ISSNs:
- 1368-8375
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- Legaldeposit
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