Background: Laparoscopy-assisted gastrectomy (LAG) is a complex and time-consuming procedure, which is increasingly used for early gastric cancer (EGC). We provide a multidimensional analysis of the learning curve in LAG. Methods: Cumulative sum method was used to analyze outcomes of 109 patients undergoing LAG for EGC by one surgeon over a two year period; the influence of patient selection was evaluated. Target failure rate was set at 10%, with failure defined as open conversion, mortality, major morbidity, residual tumor, or inappropriate lymphadenectomy. Results: There were 19 failures-fourteen performance and five oncologic. The learning curve, which displayed a slight rising trend and three phases was achieved after 40 cases with selected patients; it was broken, however, by the introduction of advanced procedures and unselected patients. Conclusions: Advanced procedures and broad indications in LAG should be delayed until a learning curve is completed under the target failure rate.

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Laparoscopic surgery for gastric GIST is safe and feasible, even in large (>5 cm) tumors. Because endoscopic resection showed good results without recurrence, this approach can be useful in selected cases with a high operative risk or a need for preservation of organ function.

Many aptamers have been evaluated for their ability as drug delivery vehicles to target ligands, and a variety of small interfering RNAs (siRNAs) have been tested for their anti-cancer properties. However, since these two types of molecules have similar physicochemical properties, it has so far been difficult to formulate siRNA-encapsulating carriers guided by aptamers. Here, we propose aptamer-coupled lipid nanocarriers encapsulating quantum dots (QDs) and siRNAs for theragnosis of triple-negative breast cancer (TNBC). Methods: Hydrophobic QDs were effectively incorporated into lipid bilayers, and then therapeutic siRNAs were complexed with QD-lipid nanocarriers (QLs). Finally, anti-EGFR aptamer-lipid conjugates were inserted into the QLs for TNBC targeting (aptamo-QLs). TNBC-targeting aptamo-QLs were directly compared to anti-EGFR antibody-coupled immuno-QLs. The in vitro delivery of therapeutic siRNAs and QDs to target cells was assessed by flow cytometry and confocal microscopy. The in vivo targeting of siRNAs to tumors and their therapeutic efficacy were evaluated in mice carrying MDA-MB-231 tumors. Results: Both types of EGFR-targeting QLs showed enhanced delivery to target cancer cells, resulting in more effective gene silencing and enhanced tumor imaging compared to non-targeting control QLs. Moreover, combinatorial therapy with Bcl-2 and PKC-ι siRNAs loaded into the anti-EGFR QLs was remarkably effective in inhibiting tumor growth and metastasis. Conclusion: In general, the aptamo-QLs showed competitive in vivo delivery and therapeutic efficacy compared to immuno-QLs under the same experimental conditions. Our results show that the anti-EGFR aptamer-guided lipid carriers may be a potential theranostic delivery vehicle for RNA interference and fluorescence imaging of TNBCs.

Gastric lipomatosis is an extremely rare condition. We present a case of a 69-year-old woman admitted with epigastric soreness. Computerized tomography (CT) revealed extrinsically compressing, fat-containing mass lesions on the entire gastric wall of the antrum and body except for the lesser curvature. A subtotal gastrectomy was performed. Pathology findings confirmed a gastric lipomatosis with multiple gastric ulcerations and extensive disruptions of the muscular layers. This case and reports of other gastric lipomatosis cases indicate that CT should be used to characterize large submucosal masses because CT can show the specific nature and extent of the disease. We believe that surgical treatment is the most appropriate treatment for symptomatic gastric lipomatosis that shows extensive gastric involvement, or when there are multiple gastric lipomas.

Purpose: To compare long-term disease-free survival (DFS) between patients receiving tegafur/gimeracil/oteracil (S-1) or capecitabine plus oxaliplatin (CAPOX) adjuvant chemotherapy (AC) for gastric cancer (GC).

PurposeClinical stage of gastric cancer is currently assessed by computed tomography. Accurate clinical staging is important for the tailoring of therapy. This study evaluated the accuracy of clinical N staging using stomach protocol computed tomography.Materials and MethodsBetween March 2004 and November 2012, 171 patients with gastric cancer underwent preoperative stomach protocol computed tomography (Jeju National University Hospital; Jeju, Korea). Their demographic and clinical characteristics were reviewed retrospectively. Two radiologists evaluated cN staging using axial and coronal computed tomography images, and cN stage was matched with pathologic results. The diagnostic accuracy of stomach protocol computed tomography for clinical N staging and clinical characteristics associated with diagnostic accuracy were evaluated.ResultsThe overall accuracy of stomach protocol computed tomography for cN staging was 63.2%. Computed tomography images of slice thickness 3.0 mm had a sensitivity of 60.0%; a specificity of 89.6%; an accuracy of 78.4%; and a positive predictive value of 78.0% in detecting lymph node metastases. Underestimation of cN stage was associated with larger tumor size (P<0.001), undifferentiated type (P=0.003), diffuse type (P=0.020), more advanced pathologic stage (P<0.001), and larger numbers of harvested and metastatic lymph nodes (P<0.001 each). Tumor differentiation was an independent factor affecting underestimation by computed tomography (P=0.045).ConclusionsComputed tomography with a size criterion of 8 mm is highly specific but relatively insensitive in detecting nodal metastases. Physicians should keep in mind that computed tomography may not be an appropriate tool to detect nodal metastases for choosing appropriate treatment.

PurposeVertical sleeve gastrectomy (SG) and Roux-en-Y gastric bypass (RYGB) are currently the most common bariatric procedures. Although the safety of these operations has markedly improved, there continues to be a certain rate of complications. Such adverse events can have a significant deleterious effect on the outcome of these procedures and represent a costly burden on patients and society at large. A better understanding of these complications and their predictive factors may help ameliorate and optimize outcomes.MethodsSeven hundred seventy-two consecutive patients who underwent SG or RYGB for morbid obesity between January 2011 and October 2015, in the Division of Bariatric Surgery at a tertiary institution, were included through retrospective review of the medical database. The complications were categorized and evaluated according to severity using the Clavien-Dindo classification system. Significant risk factors were evaluated by binary logistic regression to identify independent predictors and analyzed to identify their relationship with the type of complication.ResultsIndependent predictors of severe complication after these procedures included male gender, open and revisional surgery, hypertension, and hypoalbuminemia. Hypoalbuminemia had significant associations with occurrence of deep surgical site infection and leak. Open surgery had significant associations with occurrence of superficial and deep surgical site infection and respiratory complications. Independent predictors of severe complication after laparoscopic primary RYGB included previous abdominal surgery. Previous abdominal surgery had significant associations with deep surgical site infection and leak.ConclusionRecognition and optimization of these risk factors would be valuable in operative risk prediction before bariatric surgery.