Rabbit antisera raised against a strain of E. coli 013, with a strong antiglycogen activity, were tested on human fetal and normal adult colons, on colon carcinomas, and on colon tumor cells in culture (HT29). Only very rare granules were present in adult normal colons when tested with the immunofluorescence method. In faetal colons, in 12 out of 14 carcinomas, and on HT29 cells, the immunofluorescent reactions were similar to those observed in normal liver. The reactions were negative after previous treatment with alpha-amylase. They were inhibited with glycogen, with phenol-alcohol, perchloric, and trichloroacetic extracts from faetal colons, and with a tumor trichloroacetic extract. The extracts precipitated with anti-E. coli 013 antisera. They had a strong inhibiting activity in a radioimmunoassay test with labeled glycogen. The extracts from normal adult colons did not precipitate with the antisera and they had no inhibiting activity in either immunofluorescence and radioimmunoassay tests.

Download full-text PDF

Source

Publication Analysis

Top Keywords

colon carcinomas
8
rabbit antisera
8
antisera raised
8
raised strain
8
coli 013
8
normal adult
8
adult colons
8
faetal colons
8
inhibiting activity
8
colons
5

Similar Publications

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 PDF

Recursive partitioning staging system based on the log odds of the negative lymph node/T stage ratio in colon mucinous adenocarcinoma.

Front 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.

View Article and Find Full Text PDF

Characterization of TFIIE-regulated genes by transcriptome analysis.

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.

View Article and Find Full Text PDF

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 PDF

Glycosylation gene expression profiles enable prognosis prediction for colorectal cancer.

Sci 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.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!