Treatment and outcome trends and predictors of overall survival of rectal melanoma: Analysis of the National Cancer Database

A national database analysis of the evolution of outcomes of surgery for anal melanoma

BACKGROUND

This study assessed trends in treatment and outcomes of anal melanomas over a 17-year period.

METHODS

NCDB was searched for patients with anal melanoma (2004-2020). Receiver-operating characteristic curve analysis was used to determine cutoff year marking increased overall survival (OS) of anal melanoma. Characteristics, treatments, and outcomes in consecutive time periods were compared.

RESULTS

A total of 815 patients (mean age: 67.2 years; 59.4% female) were included: 354 in Period 1 (2004-2012) and 461 in Period 2 (2013-2020). Period 2 included fewer abdominoperineal resections (18% vs. 28%, p = 0.002), more local tumor excisions (61.1% vs. 55%, p = 0.002), more often immunotherapy (odds ratio [OR]: 3.41, 95% confidence interval [CI]: 2.22-5.22, p < 0.001) and less often chemotherapy (OR: 0.516, 95% CI: 0.352-0.755, p < 0.001) administered and longer median OS (25.2 vs. 19.8 months, p = 0.006). Independent predictors of worse OS were older age (hazard ratio [HR]: 1.02, p = 0.012), higher Charlson score (HR: 2.32, p = 0.02), and greater number of positive lymph nodes (HR: 1.15, p < 0.001); conversely private insurance (HR: 0.385, p = 0.008) was predictive of increased OS.

CONCLUSIONS

Anal melanoma patients diagnosed between 2013 and 2020 underwent fewer abdominoperineal resections and more local excisions than patients diagnosed between 2004 and 2013. Increased immunotherapy and longer median OS were noted in period two. Age and private insurance were significant predictors of OS, remaining constant across time periods.

Survival and Prognosis for Patients with Rectal Melanomas in the United States: A SEER-Based Study

PURPOSE

Limited attention was paid to focus on rectal melanomas (RM). This study aimed to evaluate the survival rate and prognostic factors of RM.

METHODS

The data for patients with RM from Surveillance, Epidemiology, and End Results (SEER) database were used to analyze tumor survival. Kaplan-Meier method and log-rank test were employed to estimate cancer-specific survival (CSS) and overall survival (OS). A nomogram was established based on the risk factors of survival by the forest plot for multivariate Cox regression analysis. Receiver operating characteristic (ROC) and calibration curve were conducted for validation.

RESULTS

A total of 187 patients with RM were selected to perform survival analyses. The median survival time of OS was 12 months (range: 0-146 months), and the median survival time of CSS was 12 months (range: 0-74 months). Patients' age, tumor size, stage, the number of nodes examined, surgery, and radiation were identified as prognostic indicators for CSS by the forest plot for multivariate Cox regression analysis. The nomogram was validated as a reliable model for CSS.

CONCLUSION

Clinicopathologic relevance with tumor prognosis was confirmed in this study. Our nomogram can provide a relatively accurate prediction of the survival rate of patients with RM.