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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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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