Convined clinical prognostic model in colorectal cancer.

Abstract

Current staging systems in patients with colorectal cancer (CRC) utilize relatively few patient characteristics in comparison to the breadth of information available. The objective of our study is to analyze the heterogeneous set of variables that may influence mortality and recurrence independently in patients with CCR, and prepare a predictive model of survival and recurrence. Data from 288 patients who had undergone scheduled surgery for stage I-III cancer of the colon and upper rectum were used to construct Cox models for DFS and overall CSS at five years. We have jointly examined clinical variables, serological markers and histological variables with the aim of identifying new prognostic factors. Internal and external validation was carried out on each of the nomograms obtained. Perineural invasion; high platelet-lymphocyte ratio (PLR) and the pN stage were the variables that emerged as an independent risk factor of recurrence. The variables related independently to overall CSS were the presence of blood in stools, high PLR and nodal involvement. We have created a predictive model of recurrence and mortality at 5 years with data that is easily available (clinical, analytical and histological variables) which can help personalize the treatment and follow-up of patients with CRC. We also conducted an adequate internal and external validation.