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Purpose: Adjuvant chemotherapy is recommended for patients with high-risk stage II colon cancer. High-risk stage II is defined by clinicopathological factors in some guidelines. However, there is no unified definition. The aim of this study was to examine the risk factors and develop a novel model to predict the recurrence of stage II colon cancer. Methods: Three hundred fifty patients who underwent curative resection for stage II colon cancer at Osaka International Cancer Institute and Yao Municipal Hospital from 2004 to 2012 were included. Clinicopathological factors were assessed in a subgroup of 298 patients (Learning Set), and the relapse-free survival (RFS) rate was evaluated as the main outcome. A statistical analysis was performed using a proportional hazards model to determine the factors associated with RFS and a nomogram was developed to predict recurrence. A second subgroup of 52 independent patients who underwent curative resection in 2012 (Validation Set) was used to validate the nomogram. Results: The median RFS time was 4.96 years, and recurrence was observed in 35 patients. A univariate analysis revealed that a high serum CEA level, preoperative occlusion, tumor location (left-side colon), lymphatic invasion, and vascular invasion were significantly correlated with RFS. These variables were used to develop the nomogram. The C-index was 0.701 in the learning set and 0.585 in the validation set. Using nomogram points, the patients were classified into low-risk, middle-risk, and high-risk categories. Conclusion: A recurrence prediction model was developed that integrated multiple risk factors in stage II colon cancer patients. High-risk patients were identified by the nomogram. [ABSTRACT FROM AUTHOR]

Purpose: We examined the association between pathological lateral pelvic lymph node (LPLN) metastasis and the LPLN diameter in patients with locally advanced rectal cancer (LARC) who received a neoadjuvant chemotherapy (NAC) regimen based on oxaliplatin as induction chemotherapy. We aimed to determine whether or not the LPLN size predicts LPLN metastasis in NAC cases. Methods: We retrospectively examined data from 3 institutes for 60 patients with LARC who received mesorectal excision and LPLN dissection after NAC. We evaluated the LPLN size on magnetic resonance imaging (MRI) scans acquired before and after NAC. We performed multivariate analyses to analyze the relationship between the LPLN size and clinicopathological factors. Results: For patients with visible LPLNs, the median short-axis diameter (SA) was significantly reduced from 5.1 mm (range 2.0–17.4) before NAC to 3.7 mm (range 2.1–19.0) after NAC (p = 0.0479). SA diameters were significantly larger in pathological LPLNs than in healthy LPLNs, both before (p = 0.0002) and after NAC (p < 0.0001). A SA cut-off value of 7 mm before NAC was able to independently predict lymph node metastasis (p = 0.0178). Conclusions: We showed that MRI-based evaluations of LPLN size were able to predict metastasis in patients who underwent NAC for LARC. This finding might be useful when considering selective LPLN dissection in NAC cases. [ABSTRACT FROM AUTHOR]

Purpose: Inflammation and the nutritional and immunologic status are known to be associated with the prognosis of malignant tumors. We aimed to examine inflammation–nutrition scores and predict the prognosis of colorectal cancer (CRC) patients by integrating nutritional and immunologic factors and tumor stage. Methods: This study investigated 511 patients with CRC from 2007 to 2013: 380 in a training set (TS) and 131 in a validation set (VS). The Osaka Prognostic Score (OPS) used comprised 1 point each for C-reactive protein > 1.0 mg/dL, albumin (< 3.5 g/dL), and lymphocyte count < 1600. Patients were classified according to the total points. The modified Glasgow Prognostic Score and the Prognostic Nutritional Index were also examined. A nomogram for predicting the disease-free survival (DFS) and overall survival (OS) was constructed based on the OPS and TNM stage. Results: In the TS, a high OPS and high TNM stage were significant predictors of the DFS and OS. The C-indexes of the OPS for the DFS and OS were higher than those of other reported scoring systems. The C-index of the nomogram for the DFS was 0.762 in the TS and 0.675 in the VS. The C-index of the nomogram for the OS was 0.805 in the TS and 0.743 in the VS. Conclusion: Integrating the TNM stage and OPS accurately predicted the prognosis of patients with CRC. [ABSTRACT FROM AUTHOR]