Abstract 4542: The use of saliva proteins as biomarkers to predict the risk of lymph node metastasis in oral cancer

Background. The most common oral cancer in the world is squamous cell carcinoma (OSCC), accounting for more than 90% of all cases of cancer in the oral cavity. Thus, the research on molecular markers associated with the development and progress of human diseases has been the subject of intense resea...

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Published in:Cancer research (Chicago, Ill.) Vol. 79; no. 13_Supplement; p. 4542
Main Authors: Rossi, Tatiane De, Granato, Daniela Campos, Ribeiro, Ana Carolina, Rivera, César, Heberle, Henry, Telles, Guilherme Pimentel, Carnielli, Carolina Moretto, Brandão, Thais Bianca, Santos-Silva, Alan Roger, Lopes, Márcio Ajudarte, Leme, Adriana Franco Paes
Format: Journal Article
Language:English
Published: 01-07-2019
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Summary:Background. The most common oral cancer in the world is squamous cell carcinoma (OSCC), accounting for more than 90% of all cases of cancer in the oral cavity. Thus, the research on molecular markers associated with the development and progress of human diseases has been the subject of intense research. The findings that saliva has molecular profiles indicating systemic diseases urge the study of non-invasive diagnosis using saliva as source of potential diagnosis, prognosis and predictive based on proteomics. Methods. 204 proteotypic peptides were selected previously based on DDA data from our own studies or retrieved from the SRMAtlas. Heavy labeled synthetic peptides were synthetized and SRM method was developed using Skyline v3.6. Saliva samples were collected from patients with lymph node metastasis (n=26) and without lymph node metastasis (n=14). Saliva proteins were digested with trypsin. Samples were randomized in R environment and analyzed in a triple-quadrupole mass spectrometer (Xevo TQ-XS, Waters). A Peptide Retention Time Calibration Mixture was spiked into the samples. Data comparison between groups was performed using Wilcoxon Mann Whitney test in R environment. Results. In the SRM method, we monitored 68 proteins and 24 of them were found decreased in patients with lymph node metastasis in comparison with patients without lymph node metastasis. The data analysis showed that at least one protein has, by itself, a higher relative risk in the development of lymph node metastasis in patients with OSCC. Two other panel of proteins presented the same relative risk described before. Conclusions. This study indicates a panel of potential OSCC marker proteins, which can contribute to the prognostic evaluation, the patient's risk profile and the possibility of recurrence, and guide therapeutic intervention strategies. Note: This abstract was not presented at the meeting. Citation Format: Tatiane De Rossi, Daniela Campos Granato, Ana Carolina Ribeiro, César Rivera, Henry Heberle, Guilherme Pimentel Telles, Carolina Moretto Carnielli, Thais Bianca Brandão, Alan Roger Santos-Silva, Márcio Ajudarte Lopes, Adriana Franco Paes Leme. The use of saliva proteins as biomarkers to predict the risk of lymph node metastasis in oral cancer [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2019; 2019 Mar 29-Apr 3; Atlanta, GA. Philadelphia (PA): AACR; Cancer Res 2019;79(13 Suppl):Abstract nr 4542.
ISSN:0008-5472
1538-7445
DOI:10.1158/1538-7445.AM2019-4542