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

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; Liehua Deng

doi:10.3389/fmed.2023.1167742

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

Jia-nan Huang (Co-first Author)
, Hai Yu (Co-first Author)
, Yang Wan
, Wai-Kit Ming
, Fangmin Situ
, Leqing Zhu
, Yuzhen Jiang
, U. Tim Wu
, WenHsien Ethan Huang
, Wenhui Chen^*
, Jun Lyu^*
, Liehua Deng^*

^*Corresponding author for this work

Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review

8 Citations (Scopus)

54 Downloads (CityUHK Scholars)

Abstract

Objective: The 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.
Methods: This 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).
Results: A 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.
Conclusion: This 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.
© 2023 Huang, Yu, Wan, Ming, Situ, Zhu, Jiang, Wu, Huang, Chen, Lyu and Deng.

Original language	English
Article number	1167742
Journal	Frontiers in Medicine
Volume	10
Online published	11 Jul 2023
DOIs	https://doi.org/10.3389/fmed.2023.1167742
Publication status	Published - 2023

Funding

The study was supported by Key Scientific Problems and Medical Technical Problems Research Project of China Medical Education Association (2022KTZ009) and Guangdong Provincial Key Laboratory of Traditional Chinese Medicine Informatization (2021B1212040007).

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 3 Good Health and Well-being

Research Keywords

Surveillance, Epidemiology, and End Results database
BANS sites
cancer-specific survival
invasive melanoma
nomogram

Publisher's Copyright Statement

This full text is made available under CC-BY 4.0. https://creativecommons.org/licenses/by/4.0/

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10.3389/fmed.2023.1167742

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Huang, J., Yu, H., Wan, Y., Ming, W.-K., Situ, F., Zhu, L., Jiang, Y., Wu, U. T., Huang, W. E., Chen, W., Lyu, J., & Deng, L. (2023). 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, 10, Article 1167742. https://doi.org/10.3389/fmed.2023.1167742

@article{7c6aef29b1ac4be5ae9880fd9dcabcf4,

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",

abstract = "Objective: The 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. Methods: This 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). Results: A 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. Conclusion: This 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. {\textcopyright} 2023 Huang, Yu, Wan, Ming, Situ, Zhu, Jiang, Wu, Huang, Chen, Lyu and Deng.",

keywords = "Surveillance, Epidemiology, and End Results database, BANS sites, cancer-specific survival, invasive melanoma, nomogram",

author = "Jia-nan Huang and Hai Yu and Yang Wan and Wai-Kit Ming and Fangmin Situ and Leqing Zhu and Yuzhen Jiang and Wu, \{U. Tim\} and Huang, \{WenHsien Ethan\} and Wenhui Chen and Jun Lyu and Liehua Deng",

year = "2023",

doi = "10.3389/fmed.2023.1167742",

language = "English",

volume = "10",

journal = "Frontiers in Medicine",

issn = "2296-858X",

publisher = "Frontiers Media S.A.",

}

Huang, J, Yu, H, Wan, Y, Ming, W-K, Situ, F, Zhu, L, Jiang, Y, Wu, UT, Huang, WE, Chen, W, Lyu, J & Deng, L 2023, '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, vol. 10, 1167742. https://doi.org/10.3389/fmed.2023.1167742

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. / Huang, Jia-nan (Co-first Author); Yu, Hai (Co-first Author); Wan, Yang et al.
In: Frontiers in Medicine, Vol. 10, 1167742, 2023.

Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review

TY - JOUR

T1 - 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

AU - Huang, Jia-nan

AU - Yu, Hai

AU - Wan, Yang

AU - Ming, Wai-Kit

AU - Situ, Fangmin

AU - Zhu, Leqing

AU - Jiang, Yuzhen

AU - Wu, U. Tim

AU - Huang, WenHsien Ethan

AU - Chen, Wenhui

AU - Lyu, Jun

AU - Deng, Liehua

PY - 2023

Y1 - 2023

N2 - Objective: The 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. Methods: This 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). Results: A 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. Conclusion: This 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. © 2023 Huang, Yu, Wan, Ming, Situ, Zhu, Jiang, Wu, Huang, Chen, Lyu and Deng.

AB - Objective: The 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. Methods: This 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). Results: A 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. Conclusion: This 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. © 2023 Huang, Yu, Wan, Ming, Situ, Zhu, Jiang, Wu, Huang, Chen, Lyu and Deng.

KW - Surveillance, Epidemiology, and End Results database

KW - BANS sites

KW - cancer-specific survival

KW - invasive melanoma

KW - nomogram

UR - https://www.scopus.com/pages/publications/85165601738

UR - https://www.scopus.com/record/pubmetrics.uri?eid=2-s2.0-85165601738&origin=recordpage

U2 - 10.3389/fmed.2023.1167742

DO - 10.3389/fmed.2023.1167742

M3 - RGC 21 - Publication in refereed journal

C2 - 37497274

SN - 2296-858X

VL - 10

JO - Frontiers in Medicine

JF - Frontiers in Medicine

M1 - 1167742

ER -

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

Abstract

Funding

UN SDGs

Research Keywords

Publisher's Copyright Statement

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