A prognostic nomogram for the cancer-specific survival of white patients with invasive melanoma at BANS sites based on the Surveillance, Epidemiology, and End Results database
ObjectiveThe purpose of this study was to develop a comprehensive nomogram for the cancer-specific survival (CSS) of white patients with invasive melanoma at back, posterior arm, posterior neck, and posterior scalp (BANS) sites and to determine the validity of the nomogram by comparing it with the c...
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Frontiers Media S.A.
2023-07-01
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| Series: | Frontiers in Medicine |
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| Online Access: | https://www.frontiersin.org/articles/10.3389/fmed.2023.1167742/full |
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| author | Jia-nan Huang Hai Yu Yang Wan Wai-Kit Ming Fangmin Situ Leqing Zhu Yuzhen Jiang U. Tim Wu WenHsien Ethan Huang Wenhui Chen Jun Lyu Jun Lyu Liehua Deng Liehua Deng |
| author_facet | Jia-nan Huang Hai Yu Yang Wan Wai-Kit Ming Fangmin Situ Leqing Zhu Yuzhen Jiang U. Tim Wu WenHsien Ethan Huang Wenhui Chen Jun Lyu Jun Lyu Liehua Deng Liehua Deng |
| author_sort | Jia-nan Huang |
| collection | DOAJ |
| description | ObjectiveThe purpose of this study was to develop a comprehensive nomogram for the cancer-specific survival (CSS) of white patients with invasive melanoma at back, posterior arm, posterior neck, and posterior scalp (BANS) sites and to determine the validity of the nomogram by comparing it with the conventional American Joint Committee on Cancer (AJCC) staging system.MethodsThis study analyzed the patients with invasive melanoma in the Surveillance, Epidemiology, and End Results (SEER) database. R software was used to randomly divide the patients into training and validation cohorts at a ratio of 7:3. Multivariable Cox regression was used to identify predictive variables. The new survival nomogram was compared with the AJCC prognosis model using the concordance index (C-index), area under the receiver operating characteristic (ROC) curve (AUC), net reclassification index (NRI), integrated discrimination index (IDI), calibration plotting, and decision-curve analysis (DCA).ResultsA novel nomogram was established to determine the 3-, 5-, and 8-year CSS probabilities of patients with invasive melanoma. According to the nomogram, the Age at Diagnosis had the greatest influence on CSS in invasive melanoma, followed by Bone Metastasis, AJCC, Stage, Liver Metastasis, Histologic Subtype, Brain Metastasis, Ulceration, and Primary Site. The nomogram had a higher C-index than the AJCC staging system in both the training (0.850 versus 0.799) and validation (0.829 versus 0.783) cohorts. Calibration plotting demonstrated that the model had good calibration ability. The nomogram outperformed the AJCC staging system in terms of AUC, NRI, IDI, and DCA.ConclusionThis was the first study to develop and evaluate a comprehensive nomogram for the CSS of white patients with invasive melanoma at BANS sites using the SEER database. The novel nomogram can assist clinical staff in predicting the 3-, 5-, and 8-year CSS probabilities of patients with invasive melanoma more accurately than can the AJCC staging system. |
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| institution | Directory Open Access Journal |
| issn | 2296-858X |
| language | English |
| last_indexed | 2024-03-13T00:25:51Z |
| publishDate | 2023-07-01 |
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| spelling | doaj.art-1cf710c76c1b42a1ad802f98fe71e3472023-07-11T05:02:49ZengFrontiers Media S.A.Frontiers in Medicine2296-858X2023-07-011010.3389/fmed.2023.11677421167742A prognostic nomogram for the cancer-specific survival of white patients with invasive melanoma at BANS sites based on the Surveillance, Epidemiology, and End Results databaseJia-nan Huang0Hai Yu1Yang Wan2Wai-Kit Ming3Fangmin Situ4Leqing Zhu5Yuzhen Jiang6U. Tim Wu7WenHsien Ethan Huang8Wenhui Chen9Jun Lyu10Jun Lyu11Liehua Deng12Liehua Deng13Department of Dermatology, The First Affiliated Hospital of Jinan University and Jinan University Institute of Dermatology, Guangzhou, ChinaDepartment of Dermatology, The First Affiliated Hospital of Jinan University and Jinan University Institute of Dermatology, Guangzhou, ChinaGuangzhou Jnumeso Bio-technology Co., Ltd., Guangzhou, ChinaDepartment of Infectious Diseases and Public Health, Jockey Club College of Veterinary Medicine and Life Sciences, City University of Hong Kong, Hong Kong, Hong Kong SAR, ChinaDepartment of Dermatology, The First Affiliated Hospital of Jinan University and Jinan University Institute of Dermatology, Guangzhou, ChinaGuangzhou Laboratory, Bioland, Guangzhou, ChinaRoyal Free Hospital and University College London, London, United KingdomMeng Yi Centre Limited, Macau, Macau SAR, ChinaGeneHope Clinic, Taipei, ChinaShanghai Aige Medical Beauty Clinic Co., Ltd. (Agge), Shanghai, ChinaDepartment of Clinical Research, The First Affiliated Hospital of Jinan University, Guangzhou, China0Guangdong Provincial Key Laboratory of Traditional Chinese Medicine Informatization, Guangzhou, ChinaDepartment of Dermatology, The First Affiliated Hospital of Jinan University and Jinan University Institute of Dermatology, Guangzhou, China1Department of Dermatology, The Fifth Affiliated Hospital of Jinan University, Heyuan, ChinaObjectiveThe purpose of this study was to develop a comprehensive nomogram for the cancer-specific survival (CSS) of white patients with invasive melanoma at back, posterior arm, posterior neck, and posterior scalp (BANS) sites and to determine the validity of the nomogram by comparing it with the conventional American Joint Committee on Cancer (AJCC) staging system.MethodsThis study analyzed the patients with invasive melanoma in the Surveillance, Epidemiology, and End Results (SEER) database. R software was used to randomly divide the patients into training and validation cohorts at a ratio of 7:3. Multivariable Cox regression was used to identify predictive variables. The new survival nomogram was compared with the AJCC prognosis model using the concordance index (C-index), area under the receiver operating characteristic (ROC) curve (AUC), net reclassification index (NRI), integrated discrimination index (IDI), calibration plotting, and decision-curve analysis (DCA).ResultsA novel nomogram was established to determine the 3-, 5-, and 8-year CSS probabilities of patients with invasive melanoma. According to the nomogram, the Age at Diagnosis had the greatest influence on CSS in invasive melanoma, followed by Bone Metastasis, AJCC, Stage, Liver Metastasis, Histologic Subtype, Brain Metastasis, Ulceration, and Primary Site. The nomogram had a higher C-index than the AJCC staging system in both the training (0.850 versus 0.799) and validation (0.829 versus 0.783) cohorts. Calibration plotting demonstrated that the model had good calibration ability. The nomogram outperformed the AJCC staging system in terms of AUC, NRI, IDI, and DCA.ConclusionThis was the first study to develop and evaluate a comprehensive nomogram for the CSS of white patients with invasive melanoma at BANS sites using the SEER database. The novel nomogram can assist clinical staff in predicting the 3-, 5-, and 8-year CSS probabilities of patients with invasive melanoma more accurately than can the AJCC staging system.https://www.frontiersin.org/articles/10.3389/fmed.2023.1167742/fullSurveillanceEpidemiologyand End Results databasenomogramcancer-specific survivalinvasive melanoma |
| spellingShingle | Jia-nan Huang Hai Yu Yang Wan Wai-Kit Ming Fangmin Situ Leqing Zhu Yuzhen Jiang U. Tim Wu WenHsien Ethan Huang Wenhui Chen Jun Lyu Jun Lyu Liehua Deng Liehua Deng A prognostic nomogram for the cancer-specific survival of white patients with invasive melanoma at BANS sites based on the Surveillance, Epidemiology, and End Results database Frontiers in Medicine Surveillance Epidemiology and End Results database nomogram cancer-specific survival invasive melanoma |
| title | A prognostic nomogram for the cancer-specific survival of white patients with invasive melanoma at BANS sites based on the Surveillance, Epidemiology, and End Results database |
| title_full | A prognostic nomogram for the cancer-specific survival of white patients with invasive melanoma at BANS sites based on the Surveillance, Epidemiology, and End Results database |
| title_fullStr | A prognostic nomogram for the cancer-specific survival of white patients with invasive melanoma at BANS sites based on the Surveillance, Epidemiology, and End Results database |
| title_full_unstemmed | A prognostic nomogram for the cancer-specific survival of white patients with invasive melanoma at BANS sites based on the Surveillance, Epidemiology, and End Results database |
| title_short | A prognostic nomogram for the cancer-specific survival of white patients with invasive melanoma at BANS sites based on the Surveillance, Epidemiology, and End Results database |
| title_sort | prognostic nomogram for the cancer specific survival of white patients with invasive melanoma at bans sites based on the surveillance epidemiology and end results database |
| topic | Surveillance Epidemiology and End Results database nomogram cancer-specific survival invasive melanoma |
| url | https://www.frontiersin.org/articles/10.3389/fmed.2023.1167742/full |
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