Related Experiment Video
Updated: Jan 20, 2026

Murine Full-thickness Skin Transplantation
Published on: January 2, 2017
Predicting skin cancer in organ transplant recipients: development of the SUNTRAC screening tool using data from a
Anokhi Jambusaria-Pahlajani1, Lauren D Crow2, Stefan Lowenstein2
1Division of Dermatology, Department of Internal Medicine, University of Texas at Austin Dell Medical School, Austin, TX, USA.
Abstract:
Skin cancer is a common post-transplant complication. In this study, the Skin and Ultraviolet Neoplasia Transplant Risk Assessment Calculator (SUNTRAC) was developed to stratify patients into risk groups for post-transplant skin cancer. Data for this study were obtained from the Transplant Skin Cancer Network (TSCN), which conducted a multicenter study across 26 transplant centers in the United States. In total, 6340 patients, transplanted from 2003 and 2008, were included. Weighted point values were assigned for each risk factor based on beta coefficients from multivariable modeling: white race (9 points), pretransplant history of skin cancer (6 points), age ≥ 50 years (4 points), male sex (2 points), and thoracic transplant (1 point). Good prognostic discrimination (optimism-corrected c statistic of 0.74) occurred with a 4-tier system: 0-6 points indicating low risk, 7-13 points indicating medium risk, 14-17 points indicating high risk, and 18-22 points indicating very high risk. The 5-year cumulative incidence of development of skin cancer was 1.01%, 6.15%, 15.14%, and 44.75%, for Low, Medium, High, and Very High SUNTRAC categories, respectively. Based on the skin cancer risk in different groups, the authors propose skin cancer screening guidelines based on this risk model.
Related Concept Videos
Skin Cancer
Basal Cell Carcinoma (BCC): BCC is the most common type of skin cancer, accounting for about 80% of cases. It typically develops in...
Overview of Microsoft Excel as a Data Analysis Tool
Development of the Sexual Organs in the Embryo and Fetus
Near the gonadal ridges, two duct systems are present: the mesonephric ducts (Wolffian ducts) and paramesonephric ducts (Müllerian ducts). These ducts form the basis for the...
Predicting Molecular Geometry
Mouse Models of Cancer Study
The development of transgenic, knockout, and knock-in mice has led to an exponential increase in their use as model organisms in research,...
Prediction Intervals
However, the point estimate is most likely not the exact value of the population parameter, but close to it. After calculating point estimates, we construct interval estimates, called confidence intervals or prediction intervals. This prediction interval comprises a range of values unlike the point estimate and is a better predictor of the observed sample value, y.

