Cargando…
Nomograms to predict the prognosis in locally advanced oral squamous cell carcinoma after curative resection
BACKGROUND: Oral squamous cell carcinoma (OSCC) is the dominant histologic type of oral cancer. Locally advanced OSCC remains a major therapeutic challenge. Our study aimed to develop and validate nomograms predicting survival prognosis in patients with locally advanced oral squamous cell carcinoma...
Autores principales: | , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8028060/ https://www.ncbi.nlm.nih.gov/pubmed/33827452 http://dx.doi.org/10.1186/s12885-021-08106-x |
_version_ | 1783675914982260736 |
---|---|
author | Nie, Zhiliang Zhao, Pengcheng Shang, Yishan Sun, Bo |
author_facet | Nie, Zhiliang Zhao, Pengcheng Shang, Yishan Sun, Bo |
author_sort | Nie, Zhiliang |
collection | PubMed |
description | BACKGROUND: Oral squamous cell carcinoma (OSCC) is the dominant histologic type of oral cancer. Locally advanced OSCC remains a major therapeutic challenge. Our study aimed to develop and validate nomograms predicting survival prognosis in patients with locally advanced oral squamous cell carcinoma (OSCC) after curative resection. METHODS: A total of 269 consecutive patients with primary OSCC who received curative resection between September 2007 and March 2020 were retrospectively enrolled in our study. Patients were randomly assigned to the training cohort (n = 201) or the validation cohort (n = 68). Multivariate Cox regression analyses were conducted to determine independent prognostic factors for overall survival (OS) and cancer specific survival (CSS) in the training set, which were used to develop nomogram models estimating 3-, and 5-year OS and CSS. We also evaluated the nomograms using concordance indices (c-index), calibration curves, and decision curve analyses (DCA), and compared those with the AJCC 8th staging system. The results were externally validated in the validation cohort. RESULTS: Age, Kaplan-Feinstein (KFI) index, pT, the number of positive nodes and systemic inflammatory index (SII) were significant prognostic predictors for OS and CSS. The OS nomogram had c-index values of 0.712 in the training set and 0.697 in the validation set, while the CSS nomogram exhibited c-index values of 0.709 in the training set and 0.675 in the validation set. These data were superior to those of AJCC 8th staging system, suggesting high discriminative ability of the nomograms. Calibration curves exhibited good agreement between observed and predicted survival. DCA curves indicated the nomograms were with potential clinical usefulness. These results were validated in the validation set. CONCLUSIONS: The novel nomograms incorporating clinically available characteristics for OS and CSS prediction were developed in the locally advanced OSCC patients after curative surgery. Validation revealed good discrimination and calibration, indicating the clinical utility of the nomograms in the individualized prognosis prediction of locally advanced OSCC after curative surgery. |
format | Online Article Text |
id | pubmed-8028060 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-80280602021-04-08 Nomograms to predict the prognosis in locally advanced oral squamous cell carcinoma after curative resection Nie, Zhiliang Zhao, Pengcheng Shang, Yishan Sun, Bo BMC Cancer Research Article BACKGROUND: Oral squamous cell carcinoma (OSCC) is the dominant histologic type of oral cancer. Locally advanced OSCC remains a major therapeutic challenge. Our study aimed to develop and validate nomograms predicting survival prognosis in patients with locally advanced oral squamous cell carcinoma (OSCC) after curative resection. METHODS: A total of 269 consecutive patients with primary OSCC who received curative resection between September 2007 and March 2020 were retrospectively enrolled in our study. Patients were randomly assigned to the training cohort (n = 201) or the validation cohort (n = 68). Multivariate Cox regression analyses were conducted to determine independent prognostic factors for overall survival (OS) and cancer specific survival (CSS) in the training set, which were used to develop nomogram models estimating 3-, and 5-year OS and CSS. We also evaluated the nomograms using concordance indices (c-index), calibration curves, and decision curve analyses (DCA), and compared those with the AJCC 8th staging system. The results were externally validated in the validation cohort. RESULTS: Age, Kaplan-Feinstein (KFI) index, pT, the number of positive nodes and systemic inflammatory index (SII) were significant prognostic predictors for OS and CSS. The OS nomogram had c-index values of 0.712 in the training set and 0.697 in the validation set, while the CSS nomogram exhibited c-index values of 0.709 in the training set and 0.675 in the validation set. These data were superior to those of AJCC 8th staging system, suggesting high discriminative ability of the nomograms. Calibration curves exhibited good agreement between observed and predicted survival. DCA curves indicated the nomograms were with potential clinical usefulness. These results were validated in the validation set. CONCLUSIONS: The novel nomograms incorporating clinically available characteristics for OS and CSS prediction were developed in the locally advanced OSCC patients after curative surgery. Validation revealed good discrimination and calibration, indicating the clinical utility of the nomograms in the individualized prognosis prediction of locally advanced OSCC after curative surgery. BioMed Central 2021-04-07 /pmc/articles/PMC8028060/ /pubmed/33827452 http://dx.doi.org/10.1186/s12885-021-08106-x Text en © The Author(s) 2021 Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data. |
spellingShingle | Research Article Nie, Zhiliang Zhao, Pengcheng Shang, Yishan Sun, Bo Nomograms to predict the prognosis in locally advanced oral squamous cell carcinoma after curative resection |
title | Nomograms to predict the prognosis in locally advanced oral squamous cell carcinoma after curative resection |
title_full | Nomograms to predict the prognosis in locally advanced oral squamous cell carcinoma after curative resection |
title_fullStr | Nomograms to predict the prognosis in locally advanced oral squamous cell carcinoma after curative resection |
title_full_unstemmed | Nomograms to predict the prognosis in locally advanced oral squamous cell carcinoma after curative resection |
title_short | Nomograms to predict the prognosis in locally advanced oral squamous cell carcinoma after curative resection |
title_sort | nomograms to predict the prognosis in locally advanced oral squamous cell carcinoma after curative resection |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8028060/ https://www.ncbi.nlm.nih.gov/pubmed/33827452 http://dx.doi.org/10.1186/s12885-021-08106-x |
work_keys_str_mv | AT niezhiliang nomogramstopredicttheprognosisinlocallyadvancedoralsquamouscellcarcinomaaftercurativeresection AT zhaopengcheng nomogramstopredicttheprognosisinlocallyadvancedoralsquamouscellcarcinomaaftercurativeresection AT shangyishan nomogramstopredicttheprognosisinlocallyadvancedoralsquamouscellcarcinomaaftercurativeresection AT sunbo nomogramstopredicttheprognosisinlocallyadvancedoralsquamouscellcarcinomaaftercurativeresection |