Cargando…
Progression Risk Score Estimation Based on Immunostaining Data in Oral Cancer Using Unsupervised Hierarchical Clustering Analysis: A Retrospective Study in Taiwan
This study aimed to investigate whether the progression risk score (PRS) developed from cytoplasmic immunohistochemistry (IHC) biomarkers is available and applicable for assessing risk and prognosis in oral cancer patients. Participants in this retrospective case-control study were diagnosed between...
Autores principales: | , , , , , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8466609/ https://www.ncbi.nlm.nih.gov/pubmed/34575686 http://dx.doi.org/10.3390/jpm11090908 |
_version_ | 1784573185160642560 |
---|---|
author | Wang, Hui-Ching Chan, Leong-Perng Wu, Chun-Chieh Hsiao, Hui-Hua Liu, Yi-Chang Cho, Shih-Feng Du, Jeng-Shiun Liu, Ta-Chih Yang, Cheng-Hong Pan, Mei-Ren Moi, Sin-Hua |
author_facet | Wang, Hui-Ching Chan, Leong-Perng Wu, Chun-Chieh Hsiao, Hui-Hua Liu, Yi-Chang Cho, Shih-Feng Du, Jeng-Shiun Liu, Ta-Chih Yang, Cheng-Hong Pan, Mei-Ren Moi, Sin-Hua |
author_sort | Wang, Hui-Ching |
collection | PubMed |
description | This study aimed to investigate whether the progression risk score (PRS) developed from cytoplasmic immunohistochemistry (IHC) biomarkers is available and applicable for assessing risk and prognosis in oral cancer patients. Participants in this retrospective case-control study were diagnosed between 2012 and 2014 and subsequently underwent surgical intervention. The specimens from surgery were stained by IHC for 16 cytoplasmic target markers. We evaluated the results of IHC staining, clinical and pathological features, progression-free survival (PFS), and overall survival (OS) of 102 oral cancer patients using a novel estimation approach with unsupervised hierarchical clustering analysis. Patients were stratified into high-risk (52) and low-risk (50) groups, according to their PRS; a metric consisting of cytoplasmic PLK1, PhosphoMet, SGK2, and SHC1 expression. Moreover, PRS could be extended for use in the Cox proportional hazard regression model to estimate survival outcomes with associated clinical parameters. Our study findings revealed that the high-risk patients had a significantly increased risk in cancer progression compared with low-risk patients (hazard ratio (HR) = 2.20, 95% confidence interval (CI) = 1.10–2.42, p = 0.026). After considering the influences of demographics, risk behaviors, and tumor characteristics, risk estimation with PRS provided distinct PFS groups for patients with oral cancer (p = 0.017, p = 0.019, and p = 0.020). Our findings support that PRS could serve as an ideal biomarker for clinical use in risk stratification and progression assessment in oral cancer. |
format | Online Article Text |
id | pubmed-8466609 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-84666092021-09-27 Progression Risk Score Estimation Based on Immunostaining Data in Oral Cancer Using Unsupervised Hierarchical Clustering Analysis: A Retrospective Study in Taiwan Wang, Hui-Ching Chan, Leong-Perng Wu, Chun-Chieh Hsiao, Hui-Hua Liu, Yi-Chang Cho, Shih-Feng Du, Jeng-Shiun Liu, Ta-Chih Yang, Cheng-Hong Pan, Mei-Ren Moi, Sin-Hua J Pers Med Article This study aimed to investigate whether the progression risk score (PRS) developed from cytoplasmic immunohistochemistry (IHC) biomarkers is available and applicable for assessing risk and prognosis in oral cancer patients. Participants in this retrospective case-control study were diagnosed between 2012 and 2014 and subsequently underwent surgical intervention. The specimens from surgery were stained by IHC for 16 cytoplasmic target markers. We evaluated the results of IHC staining, clinical and pathological features, progression-free survival (PFS), and overall survival (OS) of 102 oral cancer patients using a novel estimation approach with unsupervised hierarchical clustering analysis. Patients were stratified into high-risk (52) and low-risk (50) groups, according to their PRS; a metric consisting of cytoplasmic PLK1, PhosphoMet, SGK2, and SHC1 expression. Moreover, PRS could be extended for use in the Cox proportional hazard regression model to estimate survival outcomes with associated clinical parameters. Our study findings revealed that the high-risk patients had a significantly increased risk in cancer progression compared with low-risk patients (hazard ratio (HR) = 2.20, 95% confidence interval (CI) = 1.10–2.42, p = 0.026). After considering the influences of demographics, risk behaviors, and tumor characteristics, risk estimation with PRS provided distinct PFS groups for patients with oral cancer (p = 0.017, p = 0.019, and p = 0.020). Our findings support that PRS could serve as an ideal biomarker for clinical use in risk stratification and progression assessment in oral cancer. MDPI 2021-09-13 /pmc/articles/PMC8466609/ /pubmed/34575686 http://dx.doi.org/10.3390/jpm11090908 Text en © 2021 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Wang, Hui-Ching Chan, Leong-Perng Wu, Chun-Chieh Hsiao, Hui-Hua Liu, Yi-Chang Cho, Shih-Feng Du, Jeng-Shiun Liu, Ta-Chih Yang, Cheng-Hong Pan, Mei-Ren Moi, Sin-Hua Progression Risk Score Estimation Based on Immunostaining Data in Oral Cancer Using Unsupervised Hierarchical Clustering Analysis: A Retrospective Study in Taiwan |
title | Progression Risk Score Estimation Based on Immunostaining Data in Oral Cancer Using Unsupervised Hierarchical Clustering Analysis: A Retrospective Study in Taiwan |
title_full | Progression Risk Score Estimation Based on Immunostaining Data in Oral Cancer Using Unsupervised Hierarchical Clustering Analysis: A Retrospective Study in Taiwan |
title_fullStr | Progression Risk Score Estimation Based on Immunostaining Data in Oral Cancer Using Unsupervised Hierarchical Clustering Analysis: A Retrospective Study in Taiwan |
title_full_unstemmed | Progression Risk Score Estimation Based on Immunostaining Data in Oral Cancer Using Unsupervised Hierarchical Clustering Analysis: A Retrospective Study in Taiwan |
title_short | Progression Risk Score Estimation Based on Immunostaining Data in Oral Cancer Using Unsupervised Hierarchical Clustering Analysis: A Retrospective Study in Taiwan |
title_sort | progression risk score estimation based on immunostaining data in oral cancer using unsupervised hierarchical clustering analysis: a retrospective study in taiwan |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8466609/ https://www.ncbi.nlm.nih.gov/pubmed/34575686 http://dx.doi.org/10.3390/jpm11090908 |
work_keys_str_mv | AT wanghuiching progressionriskscoreestimationbasedonimmunostainingdatainoralcancerusingunsupervisedhierarchicalclusteringanalysisaretrospectivestudyintaiwan AT chanleongperng progressionriskscoreestimationbasedonimmunostainingdatainoralcancerusingunsupervisedhierarchicalclusteringanalysisaretrospectivestudyintaiwan AT wuchunchieh progressionriskscoreestimationbasedonimmunostainingdatainoralcancerusingunsupervisedhierarchicalclusteringanalysisaretrospectivestudyintaiwan AT hsiaohuihua progressionriskscoreestimationbasedonimmunostainingdatainoralcancerusingunsupervisedhierarchicalclusteringanalysisaretrospectivestudyintaiwan AT liuyichang progressionriskscoreestimationbasedonimmunostainingdatainoralcancerusingunsupervisedhierarchicalclusteringanalysisaretrospectivestudyintaiwan AT choshihfeng progressionriskscoreestimationbasedonimmunostainingdatainoralcancerusingunsupervisedhierarchicalclusteringanalysisaretrospectivestudyintaiwan AT dujengshiun progressionriskscoreestimationbasedonimmunostainingdatainoralcancerusingunsupervisedhierarchicalclusteringanalysisaretrospectivestudyintaiwan AT liutachih progressionriskscoreestimationbasedonimmunostainingdatainoralcancerusingunsupervisedhierarchicalclusteringanalysisaretrospectivestudyintaiwan AT yangchenghong progressionriskscoreestimationbasedonimmunostainingdatainoralcancerusingunsupervisedhierarchicalclusteringanalysisaretrospectivestudyintaiwan AT panmeiren progressionriskscoreestimationbasedonimmunostainingdatainoralcancerusingunsupervisedhierarchicalclusteringanalysisaretrospectivestudyintaiwan AT moisinhua progressionriskscoreestimationbasedonimmunostainingdatainoralcancerusingunsupervisedhierarchicalclusteringanalysisaretrospectivestudyintaiwan |