Lysyl oxidase-like 2 (LOXL2) is associated with invasiveness and metastasis in breast cancer. We analyzed the prognostic impact of LOXL2 for breast cancer patients and investigated the role of LOXL2 in breast cancer cell lines. Immunohistochemical study of LOXL2 expression was done in samples from 309 patients. Survival analysis was performed using log-rank test and Cox regression hazard model. After identification of LOXL2 expression in breast cancer cell lines, we performed matrigel invasion and wound-healing assays with LOXL2-silenced cell lines. In the human study, LOXL2 was expressed in 16.2 % of patients. Comparing the LOXL2-positive versus negative groups, there was a significantly higher proportion of estrogen receptor-negative patients (54.0 vs. 37.0 %, respectively; p = 0.029) and triple-negative patients (34.0 vs. 18.0 %; p = 0.022) in the positive group. In multivariate analysis for overall survival and metastasis-free survival, positive LOXL2 was demonstrated as a poor prognostic factor (HR 2.27 and 2.10, respectively). In vitro study indicated that LOXL2 silencing induces a mesenchymal-epithelial transition-like process in basal cell lines (MDA-MB-231 and BT549) associated with decreased invasive and migratory properties. These clinical and preclinical data confirm that higher LOXL2 expression is associated with invasiveness of basal-like breast cancer cells and lower survival of breast cancer patients. Our results suggest the clinical value of LOXL2 as a therapeutic target in breast cancer.

PurposeBone is the most frequent site of metastasis among breast cancer patients. We investigated prognostic factors affecting survival following bone-only metastasis in breast cancer patients.Materials and MethodsThe medical records of breast cancer patients who were treated and followed at Gangnam Severance Hospital retrospectively reviewed to identify patients with bone-only metastasis.ResultsThe median time from the diagnosis of bone-only metastasis to the last follow-up or death was 55.2 [95% confidence interval (CI), 38.6-71.9] months. The Kaplan-Meier overall survival estimate at 10 years for all patients was 34.9%. In the multivariate Cox regression model, bisphosphonate treatment [hazard ratio=0.18; 95% CI, 0.07-0.43], estrogen receptor positivity (hazard ratio=0.51; 95% CI, 0.28-0.94), and solitary bone metastasis (hazard ratio=0.32; 95% CI, 0.14-0.72) were significantly associated with longer overall survival in the bone-only recurrence group. Among the treatment modalities, only bisphosphonate treatment was identified as a significant prognostic factor.ConclusionIdentifying the factors influencing breast cancer mortality after bone-only metastasis will help clarify the clinical course and improve the treatment outcome for patients with breast cancer and bone-only metastasis. Bisphosphonates, as a significant prognostic factor, warrant further investigation.

We evaluated the learning curve for achieving expertise in robotic rectal cancer surgery based primarily on operative time and short-term outcomes. Sixty-two consecutive patients with rectal cancer underwent robot surgery (abdominoperineal excision n = 1, low anterior resection n = 50, ultra-low anterior resection n = 10, Hartmann operation n = 1). Robotic cases were grouped by consecutive 10 cases. There were 48 cases of mid and low rectal tumor (preoperative chemoradiation n = 9). Mean operative time was 390 minutes and postoperative complication rate was 12.9%. Robotic surgery for mid and low rectal tumors was commonly performed after 10 cases. The operative time and console time of robot surgery showed first decrease after 20 cases. There were no differences in postoperative complications including anastomosis leakage, lymph node count, and distal margin between the learning periods. An experienced open surgeon with limited laparoscopy experience may begin to perform robotic rectal surgery safely without a long learning period.

Background:Three-dimensional (3D) printing has been introduced as a novel technique to produce 3D objects. We tried to evaluate the clinical usefulness of 3D-printed renal model in performing partial nephrectomy (PN) and also in the education of medical students.Materials and Methods:We prospectively produced personalized renal models using 3D-printing methods from preoperative computed tomography (CT) images in a total of 10 patients. Two different groups (urologist and student group) appraised the clinical usefulness of 3D-renal models by answering questionnaires.Results:After application of 3D renal models, the urologist group gave highly positive responses in asking clinical usefulness of 3D-model among PN (understanding personal anatomy: 8.9 / 10, preoperative surgical planning: 8.2 / 10, intraoperative tumor localization: 8.4 / 10, plan for further utilization in future: 8.3 / 10, clinical usefulness in complete endophytic mass: 9.5 / 10). The student group located each renal tumor correctly in 47.3% when they solely interpreted the CT images. After the introduction of 3D-models, the rate of correct answers was significantly elevated to 70.0% (p < 0.001). The subjective difficulty level in localizing renal tumor was also significantly low (52% versus 27%, p < 0.001) when they utilized 3D-models.Conclusion:The personalized 3D renal model was revealed to significantly enhance the understanding of correct renal anatomy in patients with renal tumors in both urologist and student groups. These models can be useful for establishing the perioperative planning and also education program for medical students.