BackgroundNeoadjuvant fluoropirimidine (5FU)-based chemoradiotherapy (CRT) has been considered the standard of care for locally advanced rectal cancer (LARC). Whether addition of oxaliplatin (OXP) will further improve clinical outcomes is still debated. We conducted a meta-analysis to evaluate the role of OXP in this patient population.MethodsLiterature searches were carried out in PubMed, Medline and Scopus databases. End points were overall survival (OS), disease free survival (DFS), local failure (LF) and distant failure (DF). Odd ratio (OR) with 95% confidence interval (CI) was calculated using random effects model.ResultsFour randomized trials were included. Patients treated with OXP-5FU CRT had significantly decreased DF (OR = 0.76; 95% CI, 0.60 to 0.97; p = 0.03) compared to standard CRT. OS, DFS and LF were not significantly different between groups.ConclusionsOXP significantly decreased DF, but does not improve OS e DFS compared to 5FU CRT. Precise role of OXP in neoadjuvant setting of LARC remains to be determined.

BackgroundPredictive factors of pathologic complete response (pCR) after neoadjuvant chemoradiotherapy (nCRT) in locally advanced rectal cancer (LARC) are still not identified. The purpose of this study was to define them.Materials and MethodsData from consecutive LARC patients treated between January 2008 and June 2014 at our Institution were included in the analysis. All patients were treated with a long course of nCRT. Demographics, initial diagnosis and tumor extension details, as well as treatment modalities characteristics were included in the univariate and logistic regression analysis.ResultsIn total 99 patients received nCRT, of whom 23 patients (23.2%) achieved pCR. Patients with and without pCR were similar in term of age, sex, comobidities, BMI and tumor characteristics. Multivariate logistic regression indicated that pre-treatment tumor size ≤ 5 cm was a significant predictor for pCR (p = 0.035), whereas clinical N stage only showed a positive trend (p = 0.084).ConclusionsTumor size at diagnosis could be used to predict pCR, and thus to individualize therapy in LARC patients management. Validation in other studies is needed.

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