Background: Tumor budding is associated with adverse histology and is a predictor of lymph node metastasis. However, it remains unclear whether tumor budding is predictive of a poor prognosis for colon cancer patients. This study sought to investigate the prognostic significance of tumor budding in colon cancer.
Methods: This study evaluated 4196 colon cancer patients who underwent radical surgery from 2007 to 2013 at a single institution. The patients were categorized according to tumor-budding status. Adjustment was made for using propensity score-matched analysis, and both disease-free survival (DFS) and overall survival (OS) were compared between the groups.
Results: Among the 4196 patients, 2269 had low budding (< 5 buds), 1312 had intermediate budding (5-9 buds), and 615 had high budding (≥ 10 buds). High budding was associated with adverse histologic features such as elevated levels of preoperative carcinoembryonic antigen, advanced stage, poor histology, and the presence of lymphatic/vascular/perineural invasion. Before matching, DFS and OS decreased significantly with increasing tumor budding. After matching, the difference in survival between the low- and intermediate-budding groups disappeared. However, the OS and DFS rates for the high-budding group were significantly lower than for the other two groups. In the multivariate analysis of prognostic factors, high budding was an independent poor prognostic factor in DFS and OS, whereas tumor-budding positivity itself was not an independent prognostic factor.
Conclusion: Tumor-budding grade rather than tumor-budding positivity was an independent prognostic factor in colon cancer.
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http://dx.doi.org/10.1245/s10434-017-6135-5 | DOI Listing |
Discov Oncol
January 2025
Department of Oncology, The First Affiliated Hospital of Anhui Medical University, Hefei, China.
Background: Diseases are often caused by multiple factors, angiogenesis-related genes (ARGs) have been shown to be associated with cancer, however, their role in colon cancer had not been fully explored. This study investigated potential biomarkers based on ARGs to improve prognosis and treatment effect in colon cancer.
Methods: ARGs associated with colon cancer prognosis were identified using Cox regression analysis and LASSO analysis.
Ultrason Sonochem
January 2025
Department of Computer Engineering, Faculty of Engineering and Natural Sciences, Istanbul Health and Technology University 34421 Istanbul, Türkiye.
In this study, the effects of ultrasound treatment on bioactive components and functional properties of hawthorn vinegar (Crataegus tanacetifolia) were investigated. Parameters such as total phenolic compound (TPC), total flavonoid content (TFC), ascorbic acid (AA), DPPH radical scavenging activity and CUPRAC reducing capacity were optimised by surface response method (RSM) and 14 min duration and 61.40 % amplitude were determined as the most suitable treatment conditions.
View Article and Find Full Text PDFClin Cancer Res
January 2025
ACTREC, Tata Memorial Centre, Navi Mumbai, Maharashtra, India.
Purpose: Identifying therapeutic targets for Signet Ring Cell Carcinoma (SRCC) of the colon and rectum is a clinical challenge due to the lack of Patient-Derived Organoids (PDO) or Xenografts (PDX). We present a robust method to establish PDO and PDX models to answer address this unmet need. We demonstrate that these models identify novel therapeutic strategies targeting therapy resistance and peritoneal metastasis.
View Article and Find Full Text PDFJ Cancer Surviv
January 2025
School of Nursing, College of Nursing, Taipei Medical University, Taipei, Taiwan.
Purpose: This meta-analysis aims to estimate the global prevalence of severe, moderate, overall malnutrition and moderating factors of malnutrition in colorectal cancer (CRC) survivors.
Methods: A comprehensive search was conducted in Embase, CINAHL, Medline-OVID, PubMed, Scopus, and Web of Science from inception to February 8, 2024, without language, region, or publication date restrictions. A generalized linear mixed model and random-effects model were used to examine the pooled prevalence, and moderator analyses were implemented to investigate variations in the pooled prevalence.
Discov Oncol
January 2025
Department of General Surgery, The First Affiliated Hospital of Anhui Medical University, Hefei, 230000, China.
Aim: To construct a predictive model based on the LODDS stage established for patients with late-onset colon adenocarcinoma to enhance survival stratification.
Methods: Late-onset colon adenocarcinoma data were obtained from the public database. After determining the optimal LODDS truncation value for the training set via X-tile software, we created a new staging system by integrating the T stage and M stage.
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