Objective(s): The objective of this study was to characterize the clinicopathological prognostic factors and treatment patterns for small cell carcinoma (SCC) of the colon, a rare disease without standard treatment guidelines.

Methods: We analyzed clinicopathological and treatment variables for 503 cases of histologically proven SCC colon entered into the National Cancer Database (NCDB) between 2004 and 2013. Survival curves were generated using Kaplan-Meier and compared by the log-rank test. Cox proportional hazard regression was used to control for covariates and evaluate the effect of different treatment modalities on overall survival.

Results: Four hundred seventy-two (93.8%) patients had complete clinical staging information and were therefore included in our analysis. Of these patients, 149 (31.5%) had limited stage disease (LD) and 323 (68.4%) had extensive stage disease (ED) at presentation. Median overall survival (OS) for patients with ED was significantly lower than for those with LD (4.04 months vs. 21.82 months; p < 0.001). Multivariate Cox regression analysis showed administration of chemotherapy was associated with improved survival in patients with LD and ED (p = 0.026, p < 0.001) while surgery was not associated with improved survival in patients with LD or ED (p = 0.943, p = 0.630). Radiation therapy was associated with improved survival in patients with ED (p = 0.044).

Conclusions: SCC of the colon carries a poor prognosis, especially in patients presenting with metastatic disease. Surgery and chemotherapy are administered more frequently than radiation, and chemotherapy is associated with improved survival, unlike surgery.

Download full-text PDF

Source
http://dx.doi.org/10.1007/s12029-018-0054-yDOI Listing

Publication Analysis

Top Keywords

treatment patterns
8
patterns small
8
small cell
8
cell carcinoma
8
national cancer
8
cancer database
8
database ncdb
8
scc colon
8
stage disease
8
evaluating treatment
4

Similar Publications

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!