Spindle-cell malignant melanoma

Company-Quiroga, Jaime; Magro-García, Héctor; Martínez‐Morán, C.

doi:10.4103/ijdvl.ijdvl_1046_18

Cited by 1 publication

(2 citation statements)

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“…SCM is an uncommon histological variant of melanoma, with reports of its prevalence among all melanoma cases ranging from 3% to 14% ( 2 ). SCM is difficult to diagnose, and so understanding its clinical features and histopathological indicators is crucial to making the correct clinical decisions ( 3 , 8 ). However, SCM is extraordinarily rare, and thus its clinical and prognostic aspects are not yet thoroughly understood ( 13 ).…”

Section: Discussionmentioning

confidence: 99%

“…Given these characteristics, there have been few investigations of this condition over the past 10 years. Most of the few trials that investigated SCM also included melanoma ( 8 – 10 ). Previous studies have had very small study populations due to the exceedingly low SCM incidence, and they did not perform thorough prognostic assessments ( 11 ).…”

Section: Introductionmentioning

confidence: 99%

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Prognostic nomograms for predicting long‐term overall survival in spindle cell melanoma: a population‐based study

Lau,

Huang,

Zheng

et al. 2024

Front. Endocrinol.

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BackgroundThere are few research findings on the survival prognosis of spindle cell melanoma (SCM), which is an unusual kind of melanoma. The purpose of this study was to develop a thorough nomogram for predicting the overall survival (OS) of patients with SCM and to assess its validity by comparing it with the conventional American Joint Committee on Cancer (AJCC) staging system.MethodsThe Surveillance, Epidemiology, and End Results database was searched, and 2,015 patients with SCM were selected for the analysis. The patients were randomly divided into training (n = 1,410) and validation (n = 605) cohorts by using R software. Multivariate Cox regression was performed to identify predictive factors. A nomogram was established based on these characteristics to predict OS in SCM. The calibration curve, concordance index (C-index), area under the receiver operating characteristic curve, and decision-curve analysis were utilized to assess the accuracy and reliability of the model. The net reclassification improvement and integrated discrimination improvement were also applied in this model to evaluate its differences with the AJCC model.ResultsThe developed nomogram suggests that race, AJCC stage, chemotherapy status, regional node examination status, marital status, and sex have the greatest effects on OS in SCM. The nomogram had a higher C-index than the AJCC staging system (0.751 versus 0.633 in the training cohort and 0.747 versus 0.650 in the validation cohort). Calibration plots illustrated that the model was capable of being calibrated. These criteria demonstrated that the nomogram outperforms the AJCC staging system alone.ConclusionThe nomogram developed in this study is sufficiently reliable for forecasting the risk and prognosis of SCM, which may facilitate personalized treatment recommendations in upcoming clinical trials.

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