Background And Objective: We examined the prognostic value of obesity and nuclear β-catenin in patients with locally advanced rectal cancer.
Methods: We prospectively recruited a total of 98 eligible patients with locally advanced cancer for preoperative radiochemotherapy followed by total mesorectal excision. Patients' height and weight were reaorded before radiochemotherapy, and the immunohistochemical expression of nuclear β-catenin was analyzed. Disease-free survival (DFS) was analyzed using the Kaplan-Meier method and a Cox regression model was employed for the multivariate analysis.
Results: Obese patients were associated with a lower number of recurrences (3.6% vs. 34.3%, P = 0.001), and a higher DFS (95% vs. 53%; HR, 0.09; 95%CI, 0.01-0.64; P = 0.005) than non-obese patients. In the multivariate analysis, body mass index, nuclear β-catenin expression, and the absence of lymph node metastases showed a significant increase in DFS.
Conclusions: Obesity and nuclear β-catenin are independent favorable prognostic factors for DFS in locally advanced cancer treated with preoperative radiochemotherapy. J. Surg. Oncol. 2017;115:301-306. © 2017 Wiley Periodicals, Inc.
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http://dx.doi.org/10.1002/jso.24494 | DOI Listing |
Med Phys
January 2025
Department of Medical Physics, Memorial Sloan Kettering Cancer Center, New York, New York, USA.
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View Article and Find Full Text PDFJ Cancer Educ
January 2025
Université de Reims Champagne-Ardenne, CRESTIC, Reims, France.
Cancer remains a leading cause of mortality worldwide, requiring physicians to understand multidisciplinary treatments. This study assessed the impact of a clinical rotation in a cancer center on medical students' knowledge of cancer treatments from a multidisciplinary perspective. A traditional single-department rotation was compared to a multidisciplinary rotation to determine whether broader exposure enhances knowledge and prepares students for multidisciplinary care.
View Article and Find Full Text PDFMed Phys
January 2025
Institute of Modern Physics, Chinese Academy of Sciences, Lanzhou, China.
Background: Online adaptive radiotherapy (OART) and rapid quality assurance (QA) are essential for effective heavy ion therapy (HIT). However, there is a shortage of deep learning (DL) models and workflows for predicting Monte Carlo (MC) doses in such treatments.
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Clin Oral Investig
January 2025
Department of Oral and Maxillofacial Surgery, University Hospital RWTH Aachen, Pauwelsstraße 30, D-52074, Aachen, Germany.
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View Article and Find Full Text PDFEur J Trauma Emerg Surg
January 2025
Department of Trauma Surgery and Orthopedics, Goethe University, University Hospital, Frankfurt, Germany.
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