The Clinical Characteristics and Prognostic Nomogram for Head and Neck Cancer Patients with Bone Metastasis

Background. Head and neck cancer (HNC) is the sixth most common malignancy globally, and many demographics and clinicopathological factors influence its prognosis. This study aimed to construct and validate a prognostic nomogram to predict the prognosis of HNC patients with bone metastasis (BM). Met...

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Main Authors: Changxing Chi, Zhiyi Fan, Binbin Yang, He Sun, Zengpai Zheng
Format: Article
Language:English
Published: Hindawi Limited 2021-01-01
Series:Journal of Oncology
Online Access:http://dx.doi.org/10.1155/2021/5859757
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spelling doaj-59347496a02a410fa46a8a6301f813a42021-10-11T00:39:25ZengHindawi LimitedJournal of Oncology1687-84692021-01-01202110.1155/2021/5859757The Clinical Characteristics and Prognostic Nomogram for Head and Neck Cancer Patients with Bone MetastasisChangxing Chi0Zhiyi Fan1Binbin Yang2He Sun3Zengpai Zheng4Department of Anorectal SurgeryAffiliated Hospital of Chengde Medical UniversityWenzhou Medical UniversityAffiliated Hospital of Chengde Medical UniversityDepartment of Anorectal SurgeryBackground. Head and neck cancer (HNC) is the sixth most common malignancy globally, and many demographics and clinicopathological factors influence its prognosis. This study aimed to construct and validate a prognostic nomogram to predict the prognosis of HNC patients with bone metastasis (BM). Methods. A total of 326 patients with BM from HNC were collected from the SEER database as the subjects of this study. In a ratio of 7 to 3, patients were randomly divided into training and validation groups. Independent prognostic factors for HNC patients with BM were identified by univariate and multivariate Cox regression analysis. The nomogram for predicting the prognosis was constructed, and the model was evaluated by receiver operating characteristic curves, calibration curves, and decision curve analysis. Result. The independent prognostic factors for HNC patients with BM included age, primary site, lung metastasis, and chemotherapy. The area under the curve predicting overall survival at 12, 24, and 36 months was 0.768, 0.747, and 0.723 in the training group and 0.729, 0.723, and 0.669 in the validation group, respectively. The calibration curves showed good agreement between the predicted and actual values for overall survival. In addition, the decision curve analysis showed that this prognostic nomogram model has a high clinical application. Conclusion. This study developed and validated a nomogram to predict overall survival in HNC patients with BM. The prognostic nomogram has high accuracy and utility to inform survival estimation and individualized treatment decisions.http://dx.doi.org/10.1155/2021/5859757
collection DOAJ
language English
format Article
sources DOAJ
author Changxing Chi
Zhiyi Fan
Binbin Yang
He Sun
Zengpai Zheng
spellingShingle Changxing Chi
Zhiyi Fan
Binbin Yang
He Sun
Zengpai Zheng
The Clinical Characteristics and Prognostic Nomogram for Head and Neck Cancer Patients with Bone Metastasis
Journal of Oncology
author_facet Changxing Chi
Zhiyi Fan
Binbin Yang
He Sun
Zengpai Zheng
author_sort Changxing Chi
title The Clinical Characteristics and Prognostic Nomogram for Head and Neck Cancer Patients with Bone Metastasis
title_short The Clinical Characteristics and Prognostic Nomogram for Head and Neck Cancer Patients with Bone Metastasis
title_full The Clinical Characteristics and Prognostic Nomogram for Head and Neck Cancer Patients with Bone Metastasis
title_fullStr The Clinical Characteristics and Prognostic Nomogram for Head and Neck Cancer Patients with Bone Metastasis
title_full_unstemmed The Clinical Characteristics and Prognostic Nomogram for Head and Neck Cancer Patients with Bone Metastasis
title_sort clinical characteristics and prognostic nomogram for head and neck cancer patients with bone metastasis
publisher Hindawi Limited
series Journal of Oncology
issn 1687-8469
publishDate 2021-01-01
description Background. Head and neck cancer (HNC) is the sixth most common malignancy globally, and many demographics and clinicopathological factors influence its prognosis. This study aimed to construct and validate a prognostic nomogram to predict the prognosis of HNC patients with bone metastasis (BM). Methods. A total of 326 patients with BM from HNC were collected from the SEER database as the subjects of this study. In a ratio of 7 to 3, patients were randomly divided into training and validation groups. Independent prognostic factors for HNC patients with BM were identified by univariate and multivariate Cox regression analysis. The nomogram for predicting the prognosis was constructed, and the model was evaluated by receiver operating characteristic curves, calibration curves, and decision curve analysis. Result. The independent prognostic factors for HNC patients with BM included age, primary site, lung metastasis, and chemotherapy. The area under the curve predicting overall survival at 12, 24, and 36 months was 0.768, 0.747, and 0.723 in the training group and 0.729, 0.723, and 0.669 in the validation group, respectively. The calibration curves showed good agreement between the predicted and actual values for overall survival. In addition, the decision curve analysis showed that this prognostic nomogram model has a high clinical application. Conclusion. This study developed and validated a nomogram to predict overall survival in HNC patients with BM. The prognostic nomogram has high accuracy and utility to inform survival estimation and individualized treatment decisions.
url http://dx.doi.org/10.1155/2021/5859757
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