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肢端黑色素瘤远处转移的多因素分析及预测模型构建

Multivariate analysis and prediction model construction for distant metastasis of Acral Melanoma.

作者信息

Deng Jiabin, Gao Mengru, Yao Hailin, Wu Junjun, Cui Lei, Li Xiaojing

机构信息

Department of Plastic Surgery, The First Affiliated Hospital of Anhui Medical University Hefei 230000, Anhui, China.

Department of Burn and Plastic Surgery, The Third People's Hospital of Bengbu Bengbu 233000, Anhui, China.

出版信息

Am J Cancer Res. 2025 Aug 25;15(8):3678-3692. doi: 10.62347/OLPB3585. eCollection 2025.

Abstract

OBJECTIVE

To analyze the pathological characteristics of Acral Melanoma (AM) patients and identify the factors influencing distant metastasis, while constructing a predictive model for distant metastasis-free survival (DMFS).

METHODS

Conducted on 229 AM patients admitted to the Third People's Hospital of Bengbu and The First Affiliated Hospital of Anhui Medical University from January 1, 2012, to December 31, 2024. Data collected included gender, age, lesion location, initial diagnosis stage, trauma history, ulcer presence, Breslow thickness, mitotic rate, lactate dehydrogenase (LDH), albumin (Alb), and adjuvant therapy. DMFS was assessed through follow-up, with a deadline of March 31, 2025. Statistical analysis was performed to evaluate significant factors influencing distant metastasis.

RESULTS

The incidence of AM showed an increasing trend from 2012 to 2024. Of the 229 patients, 78 (34.06%) developed distant metastasis. The median follow-up period was 37 months, and 1-year, 3-year, and 5-year survival rates without distant metastasis were 93.45%, 74.24%, and 66.81%, respectively. Statistically significant factors affecting DMFS included initial diagnosis stage, ulcer presence, Breslow thickness, mitotic rate, LDH, and Alb levels (all P<0.05). Risk factors for distant metastasis included stage III at diagnosis, ulcer presence, lack of adjuvant therapy, elevated LDH, and low Alb levels.

CONCLUSIONS

The study identified key pathological factors influencing distant metastasis in AM patients. The constructed nomogram model demonstrated good predictive accuracy, with AUC values of 0.895 and 0.879 in the training and validation sets, respectively. This model can aid in the clinical screening of AM patients at risk for distant metastasis.

摘要

目的

分析肢端黑色素瘤(AM)患者的病理特征,确定影响远处转移的因素,并构建远处无转移生存期(DMFS)的预测模型。

方法

对2012年1月1日至2024年12月31日期间入住蚌埠市第三人民医院和安徽医科大学第一附属医院的229例AM患者进行研究。收集的数据包括性别、年龄、病变部位、初始诊断分期、创伤史、溃疡情况、Breslow厚度、有丝分裂率、乳酸脱氢酶(LDH)、白蛋白(Alb)及辅助治疗情况。通过随访评估DMFS,截止日期为2025年3月31日。进行统计分析以评估影响远处转移的显著因素。

结果

2012年至2024年AM发病率呈上升趋势。229例患者中,78例(34.06%)发生远处转移。中位随访期为37个月,1年、3年和5年无远处转移生存率分别为93.45%、74.24%和66.81%。影响DMFS的统计学显著因素包括初始诊断分期、溃疡情况、Breslow厚度、有丝分裂率、LDH和Alb水平(均P<0.05)。远处转移的危险因素包括诊断时III期、溃疡情况、缺乏辅助治疗、LDH升高和Alb水平降低。

结论

本研究确定了影响AM患者远处转移的关键病理因素。构建的列线图模型显示出良好的预测准确性,训练集和验证集的AUC值分别为0.895和0.879。该模型有助于对有远处转移风险的AM患者进行临床筛查。

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