Development and validation of a nomogram for elderly patients with ulcerative melanoma.

The current state of survival prediction models for elderly patients with ulcerative melanoma (uCM) is limited. We sought to develop a nomogram model that can predict overall survival of geriatric patients with uCM. The Surveillance, Epidemiology, and End Results (SEER) database served as a source for patients diagnosed with uCM between 2004 and 2015.

A practical nomogram and risk stratification system predicting the cancer-specific survival for patients aged >50 with advanced melanoma.

Objective: To investigate risk factors for advanced melanoma over 50 years of age and to develop and validate a new line chart and classification system.

Methods: The SEER database was screened for patients diagnosed with advanced melanoma from 2010 to 2019 and Cox regression analysis was applied to select variables affecting patient prognosis. The area under curve (AUC), relative operating characteristic curve (ROC), Consistency index (C-index), decision curve analysis (DCA), and survival calibration curves were used to verify the accuracy and utility of the model and to compare it with traditional AJCC tumor staging.

The Role of NFATC4 Gene in Human Cutaneous Squamous Cell Carcinoma.

Nuclear factor of activated T-cells, cytoplasmic 4 (NFATC4) has been implicated in keratinocyte development and several types of cancer. A well-defined role for NFATC4 in cutaneous squamous cell carcinoma (CSCC) has not yet been established. In this study, NFATC4 gene function in CSCC development was examined.

On the Comparisons of Decorrelation Approaches for Non-Gaussian Neutral Vector Variables.

As a typical non-Gaussian vector variable, a neutral vector variable contains nonnegative elements only, and its l -norm equals one. In addition, its neutral properties make it significantly different from the commonly studied vector variables (e.g.