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Tingting Yin,1,* Yuhui Zhao,1,* Ying Yang,1 Huaxiu Xu,1 Dongxiang Zheng,2 Jun Lyu,3 Guanglei Fu4 1School of Nursing, Jinan University, Guangzhou, People’s Republic of China; 2Department of Neurology, The First Affiliated Hospital of Jinan University, Guangzhou, People’s Republic of China; 3Clinical Research Department, The First Affiliated Hospital of Jinan University, Guangzhou, People’s Republic of China; 4Infectious Disease Department, The First Affiliated Hospital of Jinan University, Guangzhou, People’s Republic of China*These authors contributed equally to this workCorrespondence: Jun LyuClinical Research Department, The First Affiliated Hospital of Jinan University, Guangzhou, People’s Republic of ChinaTel +86 13922274169Email lyujun2020@jnu.edu.cnGuanglei FuInfectious Disease Department, The First Affiliated Hospital of Jinan University, Guangzhou, People’s Republic of ChinaTel +86 18922217029Email 1623805741@qq.comBackground: 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, i