A new colon carcinoma cell line (LIM1863) has been characterized. This cell line is unique in that the culture consists of organoids which are morphologically and functionally organized. Histological studies of the organoids show that the cells are arranged around a central lumen and the nuclei are polarized to the periphery. Two major morphological types are present: a columnar cell with a polarized, structurally normal brush border and goblet cells. The cells are also functionally mature and express the brush border enzymes aminopeptidase N, dipeptidyl peptidase IV, alkaline phosphatase, and sucrase-isomaltase. These enzymes are localized to the luminal membrane and the apical cytoplasm (of some cells). The goblet cells contain mucus and this mucus is secreted into the lumen. This functional differentiation suggests that the organoids contain precursor cells capable of differentiating along both the columnar and goblet cell pathways. At present no endocrine cells have been detected by morphological or histochemical analysis. The organoids have been in continuous culture with regular passaging for 21 months and also grow and differentiate normally in serum-free medium.
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BMJ Open Gastroenterol
January 2025
Histopathology, University Hospitals Coventry and Warwickshire NHS Trust, Coventry, UK.
Objective: Artificial intelligence (AI) tools for histological diagnosis offer great potential to healthcare, yet failure to understand their clinical context is delaying adoption. IGUANA (Interpretable Gland-Graphs using a Neural Aggregator) is an AI algorithm that can effectively classify colonic biopsies into normal versus abnormal categories, designed to automatically report normal cases. We performed a retrospective pathological and clinical review of the errors made by IGUANA.
View Article and Find Full Text PDFFront Immunol
January 2025
Department of Colorectal Surgery, National Regional Medical Center, Binhai Campus of the First Affiliated Hospital, Fujian Medical University, Fuzhou, China.
Background: This study aimed to investigate the prognostic significance of the log odds of negative lymph nodes/T stage ratio (LONT) and develop an efficient prognostic staging system using LONT in patients with colon mucinous adenocarcinoma (MAC).
Methods: This study included 5,236 patients diagnosed with colon MAC obtained from the Surveillance, Epidemiology, and End Results database. The Kaplan-Meier method, subgroup analysis, receiver operating characteristic (ROC) curve, and Cox proportional hazard regression model were used to determine the clinical outcomes.
Turk J Biol
October 2024
Faculty of Science, Molecular Biology and Genetics, İhsan Doğramacı Bilkent University, Ankara, Turkiye.
Background/aim: Previous studies on general transcription factor II E (GTF2E) showed that it is associated with certain groups of diseases, such as colon cancer and trichothiodystrophy, but the global effect of GTF2E on cellular processes is still not widely characterized. This study aimed to investigate and characterize the effect of GTF2E on the transcription level of genes and identify the cellular processes and diseases associated with GTF2E.
Materials And Methods: The human colorectal carcinoma cell line HCT116 used in the study was transfected at a 30 nM concentration with siGTF2E1 or nontarget negative siRNA.
Surgery
January 2025
Division of Colon & Rectal Surgery, Department of Surgery, University of Minnesota, Minneapolis, MN. Electronic address:
Background: National Comprehensive Cancer Network guidelines recommend segmental colectomy for appendiceal neuroendocrine neoplasms >2.0 cm given the risk for lymph node involvement. However, additional clinicopathologic factors are associated with nodal metastases, and thus survival.
View Article and Find Full Text PDFSci Rep
January 2025
Department of Anus and Intestine Surgery, The Affiliated Hospital of Guizhou Medical University, No. 28 Guiyi Street, Yunyan District, Guiyang City, 550004, Guizhou Province, China.
This study developed a prognostic model for patients with colon adenocarcinoma (COAD) based on glycosylation-associated genes. By analyzing TCGA-COAD data, 110 key genes were identified, and a prognostic model incorporating five glycosylation-related genes was constructed. The model exhibits good predictive performance and is significantly associated with clinical features such as age, N stage, M stage, and lymph node count.
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