Purpose: The current study was designed to identify prognostic factors for long-term survival in patients with advanced colorectal cancer in a consecutive cohort.
Methods: A total of 123 patients were operated because of T4 colorectal cancer between 1 January 2002 and 31 December 2008 in the Clinic of Surgery, UK-SH Campus Luebeck.
Results: A total of 78 patients underwent a multivisceral resection. The postoperative morbidity was elevated in the patient group with multivisceral resections (34.6% vs. 26.7%). Nevertheless, we detected no significant differences concerning 30 days mortality (7.7% vs. 8.9%; p = 0.815). The main prognostic factor that reached significance in the multivariate analysis was the possibility to obtain a R0 resection (p < 0.0001) resulting in a 5-year survival rate of 55% for patients with curative resection. There were no statistically significant differences in 5-year survival between multivisceral and non-multivisceral resections (p = 0.608). Also we were not able to detect any significant differences for cancer of colonic or rectal origin (p = 0.839), for laparoscopic vs. open procedures (p = 0.610), and for emergency vs. planned operations (p = 0.674). Moreover, the existence of lymph node metastases was not a predictive factor concerning survival as there was no difference between patients with and without lymph node metastases (p = 0.658).
Conclusions: Multivisceral resections are associated with the same 5-year survival as standard resections. Therefore, the aim to perform a R0 resection should always be the main goal in surgery for colorectal cancer. In planned operations, a laparoscopic approach is justified in selected patients.
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http://dx.doi.org/10.1007/s00423-011-0854-z | DOI Listing |
Mol Cancer
December 2024
Department of Interventional Radiology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, 450052, China.
Cancer-associated fibroblasts (CAFs) exert multiple tumor-promoting functions and are key contributors to drug resistance. The mechanisms by which specific subsets of CAFs facilitate oxaliplatin resistance in colorectal cancer (CRC) have not been fully explored. This study found that THBS2 is positively associated with CAF activation, epithelial-mesenchymal transition (EMT), and chemoresistance at the pan-cancer level.
View Article and Find Full Text PDFCancer Cell Int
December 2024
State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Sun Yat-sen University Cancer Center, Guangzhou, China.
Trends Cancer
December 2024
Charité - Universitätsmedizin Berlin, Institute of Pathology, Berlin, Germany; German Cancer Consortium (DKTK), Partner Site Berlin, German Cancer Research Center (DKFZ), Heidelberg, Germany; Lineberger Comprehensive Cancer Center, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA; Department of Pharmacology, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA. Electronic address:
In 1982, the RAS genes HRAS and KRAS were discovered as the first human cancer genes, with KRAS later identified as one of the most frequently mutated oncogenes. Yet, it took nearly 40 years to develop clinically effective inhibitors for RAS-mutant cancers. The discovery in 2013 by Shokat and colleagues of a druggable pocket in KRAS paved the way to FDA approval of the first covalently binding KRAS inhibitors, sotorasib and adagrasib, in 2021 and 2022, respectively.
View Article and Find Full Text PDFSurgery
December 2024
Department of Colorectal Surgery, Digestive Disease & Surgery Institute, Cleveland Clinic, Cleveland, OH. Electronic address:
Background: Endoscopic submucosal dissection is increasingly used to treat early-stage colorectal cancer. This study evaluated the feasibility of endoscopic submucosal dissection in this setting and the determinants of lymph node metastasis.
Methods: We reviewed patients who underwent colorectal endoscopic submucosal dissection for early-stage colorectal cancer at a tertiary center between 2011 and 2023.
Int J Med Inform
December 2024
Chongqing Cancer Multiomics Big Data Application Engineering Research Center, Chongqing University Cancer Hospital, Chongqing 400030, China. Electronic address:
Background: With advancements in healthcare, traditional VTE risk assessment tools are increasingly insufficient to meet the demands of high-quality care, underscoring the need for innovative and specialized assessment methods.
Objective: Owing to the remarkable success of machine learning in supervised learning and disease prediction, our objective is to develop a reliable and efficient model for assessing VTE risk by leveraging the fundamental data and clinical characteristics of colorectal cancer patients within our medical facility.
Methods: Six commonly used machine learning algorithms were utilized in our study to predict the occurrence of VTE in patients with rectal cancer.
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