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Correlation Between TCF7(+) T Cells and Prognosis of Patients With Oral Squamous Cell Carcinoma

OBJECTIVE: To investigate whether TCF7(+) T cells constitute an important factor to improve the existing postoperative prediction model for patients with oral squamous cell carcinoma. METHOD: TCF7(+) T cells were detected in the tissues of 167 OSCC patients by multiplex immunofluorescence. The perce...

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Autores principales: Rong, Haixu, Cai, Tingting, Peng, Yu, Wang, Xiaojuan, Lan, Tianjun, Ou, Zhanpeng, Qiu, Ling, Li, Qunxing, Zhang, Lizao, Wu, Fan, Lin, Hsinyu, Ren, Siqi, Li, Zitian, Fan, Song, Li, Jinsong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8957207/
https://www.ncbi.nlm.nih.gov/pubmed/35345446
http://dx.doi.org/10.3389/fonc.2022.782058
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author Rong, Haixu
Cai, Tingting
Peng, Yu
Wang, Xiaojuan
Lan, Tianjun
Ou, Zhanpeng
Qiu, Ling
Li, Qunxing
Zhang, Lizao
Wu, Fan
Lin, Hsinyu
Ren, Siqi
Li, Zitian
Fan, Song
Li, Jinsong
author_facet Rong, Haixu
Cai, Tingting
Peng, Yu
Wang, Xiaojuan
Lan, Tianjun
Ou, Zhanpeng
Qiu, Ling
Li, Qunxing
Zhang, Lizao
Wu, Fan
Lin, Hsinyu
Ren, Siqi
Li, Zitian
Fan, Song
Li, Jinsong
author_sort Rong, Haixu
collection PubMed
description OBJECTIVE: To investigate whether TCF7(+) T cells constitute an important factor to improve the existing postoperative prediction model for patients with oral squamous cell carcinoma. METHOD: TCF7(+) T cells were detected in the tissues of 167 OSCC patients by multiplex immunofluorescence. The percentage of TCF7(+) T cells was transformed into a dichotomous variable, combined with the clinicopathological data for the OSCC patients, and then subjected to univariate and multivariate analyses. The derived independent predictors were then incorporated into risk models to analyze their relationship with the prognosis of patients. RESULTS: The high TCF7(+) group had a better prognosis than the low TCF7(+) group (OS: p<0.001; RFS: p<0.001). Univariate and multivariate analyses showed that TCF7(+) T cells serve as an independent predictor of OSCC (univariate/multivariate analysis: p<0.001). In Cox risk progression models, inclusion of the TCF7(+) T cell percentage improved the predictive accuracy of Grade and TNM stage (Grade-OS/RFS: p<0.001; TNM-OS/RFS: p<0.001; TNM+Grade-OS: p<0.001, TNM+Grade-RFS: p=0.004). Inclusion of the TCF7(+) T cell percentage improved the clinical utility. CONCLUSIONS: TCF7(+) T cells can act as an independent predictor for postoperative OSCC patients. The inclusion of TCF7(+) T cells improved the predictive accuracy and clinical utility of the nomograms to different degrees.
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spelling pubmed-89572072022-03-27 Correlation Between TCF7(+) T Cells and Prognosis of Patients With Oral Squamous Cell Carcinoma Rong, Haixu Cai, Tingting Peng, Yu Wang, Xiaojuan Lan, Tianjun Ou, Zhanpeng Qiu, Ling Li, Qunxing Zhang, Lizao Wu, Fan Lin, Hsinyu Ren, Siqi Li, Zitian Fan, Song Li, Jinsong Front Oncol Oncology OBJECTIVE: To investigate whether TCF7(+) T cells constitute an important factor to improve the existing postoperative prediction model for patients with oral squamous cell carcinoma. METHOD: TCF7(+) T cells were detected in the tissues of 167 OSCC patients by multiplex immunofluorescence. The percentage of TCF7(+) T cells was transformed into a dichotomous variable, combined with the clinicopathological data for the OSCC patients, and then subjected to univariate and multivariate analyses. The derived independent predictors were then incorporated into risk models to analyze their relationship with the prognosis of patients. RESULTS: The high TCF7(+) group had a better prognosis than the low TCF7(+) group (OS: p<0.001; RFS: p<0.001). Univariate and multivariate analyses showed that TCF7(+) T cells serve as an independent predictor of OSCC (univariate/multivariate analysis: p<0.001). In Cox risk progression models, inclusion of the TCF7(+) T cell percentage improved the predictive accuracy of Grade and TNM stage (Grade-OS/RFS: p<0.001; TNM-OS/RFS: p<0.001; TNM+Grade-OS: p<0.001, TNM+Grade-RFS: p=0.004). Inclusion of the TCF7(+) T cell percentage improved the clinical utility. CONCLUSIONS: TCF7(+) T cells can act as an independent predictor for postoperative OSCC patients. The inclusion of TCF7(+) T cells improved the predictive accuracy and clinical utility of the nomograms to different degrees. Frontiers Media S.A. 2022-03-08 /pmc/articles/PMC8957207/ /pubmed/35345446 http://dx.doi.org/10.3389/fonc.2022.782058 Text en Copyright © 2022 Rong, Cai, Peng, Wang, Lan, Ou, Qiu, Li, Zhang, Wu, Lin, Ren, Li, Fan and Li https://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
Rong, Haixu
Cai, Tingting
Peng, Yu
Wang, Xiaojuan
Lan, Tianjun
Ou, Zhanpeng
Qiu, Ling
Li, Qunxing
Zhang, Lizao
Wu, Fan
Lin, Hsinyu
Ren, Siqi
Li, Zitian
Fan, Song
Li, Jinsong
Correlation Between TCF7(+) T Cells and Prognosis of Patients With Oral Squamous Cell Carcinoma
title Correlation Between TCF7(+) T Cells and Prognosis of Patients With Oral Squamous Cell Carcinoma
title_full Correlation Between TCF7(+) T Cells and Prognosis of Patients With Oral Squamous Cell Carcinoma
title_fullStr Correlation Between TCF7(+) T Cells and Prognosis of Patients With Oral Squamous Cell Carcinoma
title_full_unstemmed Correlation Between TCF7(+) T Cells and Prognosis of Patients With Oral Squamous Cell Carcinoma
title_short Correlation Between TCF7(+) T Cells and Prognosis of Patients With Oral Squamous Cell Carcinoma
title_sort correlation between tcf7(+) t cells and prognosis of patients with oral squamous cell carcinoma
topic Oncology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8957207/
https://www.ncbi.nlm.nih.gov/pubmed/35345446
http://dx.doi.org/10.3389/fonc.2022.782058
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