» Articles » PMID: 34938105

Nomogram for Predicting Overall Survival in Acral Lentiginous Melanoma: A Population-based Study

Overview
Journal Int J Gen Med
Publisher Dove Medical Press
Specialty General Medicine
Date 2021 Dec 23
PMID 34938105
Citations 4
Authors
Affiliations
Soon will be listed here.
Abstract

Background: The objective of this study was to establish a nomogram for predicting the overall survival (OS) of patients with acral lentiginous melanoma (ALM).

Materials And Methods: The study sample was selected from 1785 patients diagnosed with ALM from 2004 to 2015 in the Surveillance, Epidemiology, and End Results (SEER) database, and R software was used to divide patients into the training cohort and validation cohort at a ratio of 7: 3. Stepwise selection method in the Cox regression model was used in the training cohort to select predictive variables to construct the nomogram, and model validation parameters were used in the validation cohort to evaluate the performance of the nomogram.

Results: The nomogram showed that age at diagnosis had the greatest impact on OS in patients with ALM, followed by AJCC stage, surgical treatment, SEER stage, sex, race, and marital status. The index of concordance, area under the receiver operating characteristic curve, calibration plots, net reclassification improvement, integrated discrimination improvement, and decision curve analysis demonstrate the good performance of this nomogram.

Conclusion: The prognostic value of the nomogram is superior to that of the AJCC staging system alone, and it helps clinicians to better predict 3-, 5-, and 8-year OS in patients with ALM.

Citing Articles

Mesenchymal stem/stromal cells: dedicator to maintain tumor homeostasis.

Yao J, Sun L, Gao F, Zhu W Hum Cell. 2024; 38(1):21.

PMID: 39607530 DOI: 10.1007/s13577-024-01154-y.


Deep-learning-based survival prediction of patients with lower limb melanoma.

Zhang J, Yu H, Zheng X, Ming W, Lak Y, Tom K Discov Oncol. 2023; 14(1):218.

PMID: 38030951 PMC: 10686915. DOI: 10.1007/s12672-023-00823-y.


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 J, Yu H, Wan Y, Ming W, Situ F, Zhu L Front Med (Lausanne). 2023; 10:1167742.

PMID: 37497274 PMC: 10366473. DOI: 10.3389/fmed.2023.1167742.


A nomogram for predicting survival in patients with skin non-keratinizing large cell squamous cell carcinoma: A study based on the Surveillance, Epidemiology, and End Results database.

Zhang J, Yang W, Lian C, Zhao Q, Ming W, Ip C Front Med (Lausanne). 2023; 10:1082402.

PMID: 36873873 PMC: 9983752. DOI: 10.3389/fmed.2023.1082402.

References
1.
Lichte V, Breuninger H, Metzler G, Haefner H, Moehrle M . Acral lentiginous melanoma: conventional histology vs. three-dimensional histology. Br J Dermatol. 2008; 160(3):591-9. DOI: 10.1111/j.1365-2133.2008.08954.x. View

2.
Balachandran V, Gonen M, Smith J, DeMatteo R . Nomograms in oncology: more than meets the eye. Lancet Oncol. 2015; 16(4):e173-80. PMC: 4465353. DOI: 10.1016/S1470-2045(14)71116-7. View

3.
Behbahani S, Malerba S, Samie F . Acral lentiginous melanoma: clinicopathological characteristics and survival outcomes in the US National Cancer Database 2004-2016. Br J Dermatol. 2020; 183(5):952-954. DOI: 10.1111/bjd.19211. View

4.
Lu Y, Wang H, Fang L, Wang W, Song W, Wang Y . A nomogram for predicting overall survival in patients with uterine leiomyosarcoma: a SEER population-based study. Future Oncol. 2020; 16(10):573-584. DOI: 10.2217/fon-2019-0674. View

5.
Buja A, Lago L, Lago S, Vinelli A, Zanardo C, Baldo V . Marital status and stage of cancer at diagnosis: A systematic review. Eur J Cancer Care (Engl). 2017; 27(1). DOI: 10.1111/ecc.12755. View