Cargando…

Plasma-Derived Inflammatory Proteins Predict Oral Squamous Cell Carcinoma

Oral squamous cell carcinoma (OSCC) is a major concern with high morbidity and mortality worldwide, even with the current knowledge and the advancement in treatment. OSCCs diagnosed at late-stage often require wide-excision with or without neck dissection, radiotherapy, or chemotherapy. When deemed...

Descripción completa

Detalles Bibliográficos
Autores principales: Liu, Kelly Yi Ping, Lu, Xian Jun David, Zhu, Yuqi Sarah, Le, Nhu, Kim, Hugh, Poh, Catherine F.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6288174/
https://www.ncbi.nlm.nih.gov/pubmed/30564558
http://dx.doi.org/10.3389/fonc.2018.00585
_version_ 1783379747585130496
author Liu, Kelly Yi Ping
Lu, Xian Jun David
Zhu, Yuqi Sarah
Le, Nhu
Kim, Hugh
Poh, Catherine F.
author_facet Liu, Kelly Yi Ping
Lu, Xian Jun David
Zhu, Yuqi Sarah
Le, Nhu
Kim, Hugh
Poh, Catherine F.
author_sort Liu, Kelly Yi Ping
collection PubMed
description Oral squamous cell carcinoma (OSCC) is a major concern with high morbidity and mortality worldwide, even with the current knowledge and the advancement in treatment. OSCCs diagnosed at late-stage often require wide-excision with or without neck dissection, radiotherapy, or chemotherapy. When deemed successful, treatment often results in diminished quality of life, impaired function, and disfigurement. Strategies for early detection are urgently needed for patients afflicted with this disease. Inflammatory protein plasma biomarkers have shown to be potential tests for early detection and disease monitoring in several cancers. There has been no study on inflammation-related plasma biomarkers in OSCC. The objectives of the study were to use a multiplex approach to screen plasma-derived biomarkers and to examine the association of measurable proteins with OSCC. A total of 260 plasma samples (210 OSCC and 50 normal controls) were collected to measure for concentration of inflammatory related biomarkers using electrochemiluminescence multiplex assay. After screening of 82 potential biomarkers of the first 160 OSCC, 16 cytokines, chemokines, and growth factors were identified and verified in the second set of samples containing 50 OSCC and 50 normal. After adjustment of age and batch effects, the adjusted differential expression analysis showed that the OSCCs were markedly lower in 14 biomarkers and significantly higher level of interleukin 1 receptor antagonist (IL1Ra). By performing unsupervised clustering analysis, we observed distinctive groups of normal and two subgroups of OSCC. Linear regression of IL2, IL1Ra, and macrophage inhibitory factor (MIF) showed high accuracy in classifying OSCC with sensitivity of 0.96 and specificity of 0.92. In conclusion, this is the first paper to identify potential inflammatory plasma protein biomarkers of patients with OSCC. With further validation, the set of biomarkers can potentially be used to assist in early detection of OSCC when the disease is localized and in more treatable stage.
format Online
Article
Text
id pubmed-6288174
institution National Center for Biotechnology Information
language English
publishDate 2018
publisher Frontiers Media S.A.
record_format MEDLINE/PubMed
spelling pubmed-62881742018-12-18 Plasma-Derived Inflammatory Proteins Predict Oral Squamous Cell Carcinoma Liu, Kelly Yi Ping Lu, Xian Jun David Zhu, Yuqi Sarah Le, Nhu Kim, Hugh Poh, Catherine F. Front Oncol Oncology Oral squamous cell carcinoma (OSCC) is a major concern with high morbidity and mortality worldwide, even with the current knowledge and the advancement in treatment. OSCCs diagnosed at late-stage often require wide-excision with or without neck dissection, radiotherapy, or chemotherapy. When deemed successful, treatment often results in diminished quality of life, impaired function, and disfigurement. Strategies for early detection are urgently needed for patients afflicted with this disease. Inflammatory protein plasma biomarkers have shown to be potential tests for early detection and disease monitoring in several cancers. There has been no study on inflammation-related plasma biomarkers in OSCC. The objectives of the study were to use a multiplex approach to screen plasma-derived biomarkers and to examine the association of measurable proteins with OSCC. A total of 260 plasma samples (210 OSCC and 50 normal controls) were collected to measure for concentration of inflammatory related biomarkers using electrochemiluminescence multiplex assay. After screening of 82 potential biomarkers of the first 160 OSCC, 16 cytokines, chemokines, and growth factors were identified and verified in the second set of samples containing 50 OSCC and 50 normal. After adjustment of age and batch effects, the adjusted differential expression analysis showed that the OSCCs were markedly lower in 14 biomarkers and significantly higher level of interleukin 1 receptor antagonist (IL1Ra). By performing unsupervised clustering analysis, we observed distinctive groups of normal and two subgroups of OSCC. Linear regression of IL2, IL1Ra, and macrophage inhibitory factor (MIF) showed high accuracy in classifying OSCC with sensitivity of 0.96 and specificity of 0.92. In conclusion, this is the first paper to identify potential inflammatory plasma protein biomarkers of patients with OSCC. With further validation, the set of biomarkers can potentially be used to assist in early detection of OSCC when the disease is localized and in more treatable stage. Frontiers Media S.A. 2018-12-04 /pmc/articles/PMC6288174/ /pubmed/30564558 http://dx.doi.org/10.3389/fonc.2018.00585 Text en Copyright © 2018 Liu, Lu, Zhu, Le, Kim and Poh. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Oncology
Liu, Kelly Yi Ping
Lu, Xian Jun David
Zhu, Yuqi Sarah
Le, Nhu
Kim, Hugh
Poh, Catherine F.
Plasma-Derived Inflammatory Proteins Predict Oral Squamous Cell Carcinoma
title Plasma-Derived Inflammatory Proteins Predict Oral Squamous Cell Carcinoma
title_full Plasma-Derived Inflammatory Proteins Predict Oral Squamous Cell Carcinoma
title_fullStr Plasma-Derived Inflammatory Proteins Predict Oral Squamous Cell Carcinoma
title_full_unstemmed Plasma-Derived Inflammatory Proteins Predict Oral Squamous Cell Carcinoma
title_short Plasma-Derived Inflammatory Proteins Predict Oral Squamous Cell Carcinoma
title_sort plasma-derived inflammatory proteins predict oral squamous cell carcinoma
topic Oncology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6288174/
https://www.ncbi.nlm.nih.gov/pubmed/30564558
http://dx.doi.org/10.3389/fonc.2018.00585
work_keys_str_mv AT liukellyyiping plasmaderivedinflammatoryproteinspredictoralsquamouscellcarcinoma
AT luxianjundavid plasmaderivedinflammatoryproteinspredictoralsquamouscellcarcinoma
AT zhuyuqisarah plasmaderivedinflammatoryproteinspredictoralsquamouscellcarcinoma
AT lenhu plasmaderivedinflammatoryproteinspredictoralsquamouscellcarcinoma
AT kimhugh plasmaderivedinflammatoryproteinspredictoralsquamouscellcarcinoma
AT pohcatherinef plasmaderivedinflammatoryproteinspredictoralsquamouscellcarcinoma