Combining discovery and targeted proteomics reveals a prognostic signature in oral cancer
-
Published:2018-09-05
Issue:1
Volume:9
Page:
-
ISSN:2041-1723
-
Container-title:Nature Communications
-
language:en
-
Short-container-title:Nat Commun
Author:
Carnielli Carolina MorettoORCID, Macedo Carolina Carneiro Soares, De Rossi Tatiane, Granato Daniela Campos, Rivera CésarORCID, Domingues Romênia Ramos, Pauletti Bianca Alves, Yokoo Sami, Heberle HenryORCID, Busso-Lopes Ariane Fidelis, Cervigne Nilva Karla, Sawazaki-Calone Iris, Meirelles Gabriela Vaz, Marchi Fábio Albuquerque, Telles Guilherme Pimentel, Minghim Rosane, Ribeiro Ana Carolina Prado, Brandão Thaís Bianca, de Castro Gilberto, González-Arriagada Wilfredo Alejandro, Gomes Alexandre, Penteado Fabio, Santos-Silva Alan Roger, Lopes Márcio Ajudarte, Rodrigues Priscila Campioni, Sundquist Elias, Salo Tuula, da Silva Sabrina Daniela, Alaoui-Jamali Moulay A., Graner Edgard, Fox Jay W., Coletta Ricardo Della, Paes Leme Adriana FrancoORCID
Abstract
AbstractDifferent regions of oral squamous cell carcinoma (OSCC) have particular histopathological and molecular characteristics limiting the standard tumor−node−metastasis prognosis classification. Therefore, defining biological signatures that allow assessing the prognostic outcomes for OSCC patients would be of great clinical significance. Using histopathology-guided discovery proteomics, we analyze neoplastic islands and stroma from the invasive tumor front (ITF) and inner tumor to identify differentially expressed proteins. Potential signature proteins are prioritized and further investigated by immunohistochemistry (IHC) and targeted proteomics. IHC indicates low expression of cystatin-B in neoplastic islands from the ITF as an independent marker for local recurrence. Targeted proteomics analysis of the prioritized proteins in saliva, combined with machine-learning methods, highlights a peptide-based signature as the most powerful predictor to distinguish patients with and without lymph node metastasis. In summary, we identify a robust signature, which may enhance prognostic decisions in OSCC and better guide treatment to reduce tumor recurrence or lymph node metastasis.
Publisher
Springer Science and Business Media LLC
Subject
General Physics and Astronomy,General Biochemistry, Genetics and Molecular Biology,General Chemistry
Reference80 articles.
1. Ferlay, J. et al. Cancer incidence and mortality worldwide: sources, methods and major patterns in GLOBOCAN 2012. Int. J. Cancer 136, E359–E386 (2015). 2. Edge, S. B. & Compton, C. C. The American Joint Committee on Cancer: the 7th edition of the AJCC cancer staging manual and the future of TNM. Ann. Surg. Oncol. 17, 1471–1474 (2010). 3. Scully, C. & Bagan, J. Oral squamous cell carcinoma overview. Oral Oncol. 45, 301–308 (2009). 4. Almangush, A. et al. A simple novel prognostic model for early stage oral tongue cancer. Int. J. Oral Maxillofac. Surg. 44, 143–150 (2015). 5. da Silva, S. D., Hier, M., Mlynarek, A., Kowalski, L. P. & Alaoui-Jamali, M. A. Recurrent oral cancer: current and emerging therapeutic approaches. Front. Pharmacol. 3, 149 (2012).
Cited by
129 articles.
订阅此论文施引文献
订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献
|
|