Primary Colorectal Cells Culture as a Translational Research Model.

Methods Mol Biol

Chester Centre for Stress Research, Institute of Medicine, University of Chester, Bache Hall, Chester, CH2 1BR, UK.

Published: July 2018

Preclinical studies are an essential stage for any pharmacological agent hoping to make its way into clinical trials. An ideal preclinical model that can accurately predict clinical response does not exist and the best that the scientific community have at the moment is to select the most relevant study model pertaining to the disease of interest from those available, which includes: cell lines, animal models, and even in-silico methodology. Currently, there is a huge gap between preclinical and clinical trial results, indicating that there is much room for improvement in developing a better model to bridge the translational gap.

Download full-text PDF

Source
http://dx.doi.org/10.1007/978-1-4939-7477-1_8DOI Listing

Publication Analysis

Top Keywords

primary colorectal
4
colorectal cells
4
cells culture
4
culture translational
4
model
4
translational model
4
model preclinical
4
preclinical studies
4
studies essential
4
essential stage
4

Similar Publications

Background: The aim of this study is to develop a method we call "cost mining" to unravel cost variation and identify cost drivers by modelling integrated patient pathways from primary care to the palliative care setting. This approach fills an urgent need to quantify financial strains on healthcare systems, particularly for colorectal cancer, which is the most expensive cancer in Australia, and the second most expensive cancer globally.

Methods: We developed and published a customized algorithm that dynamically estimates and visualizes the mean, minimum, and total costs of care at the patient level, by aggregating activity-based healthcare system costs (e.

View Article and Find Full Text PDF

The importance of collagen and elastin remains incompletely understood concerning tumor immunity in cancer tissues. This study explored the clinical significance of collagen and elastin deposition on tumor immunity in advanced colorectal cancer patients. The collagen and elastin contents were assessed simultaneously using elastic van Gieson (EVG) histochemical staining.

View Article and Find Full Text PDF

Background: Current American Joint Committee on Cancer (AJCC) staging for colorectal cancer utilizes TNM framework groups disease based on extent and provides prognostic information, ideally with a hierarchical logic. We sought to evaluate survival as a function of stage within the 8 edition AJCC staging system for colon and rectal cancer.

Methods: Patients with primary colon or rectal cancer diagnosed 2010-2016 were identified from the National Cancer Database (NCDB).

View Article and Find Full Text PDF

Improving colonoscopy quality in the national VA healthcare system.

Contemp Clin Trials

December 2024

San Francisco VA Medical Center, United States of America; Department of Medicine, University of California, San Francisco, CA, United States of America; Measurement Science Quality Enhancement Research Initiative, San Francisco VA Healthcare System, United States of America. Electronic address:

Background: Colorectal cancer (CRC) prevention is a Veterans Affairs (VA) priority. Colonoscopy quality, especially adenoma detection rate (ADR), is critical for effective screening. Our research indicates considerable variation in ADR among VA providers.

View Article and Find Full Text PDF

The critical role of tumor size in predicting lymph node metastasis in early-stage colorectal cancer.

Am J Surg

December 2024

Department of Colorectal Surgery, Digestive Disease and Surgery Institute, Cleveland Clinic, Cleveland, OH, USA. Electronic address:

Background: Main purpose of this study is to investigate impact of tumor size on risk of lymph node metastasis (LNM) in pT1-stage colorectal cancer (CRC), focusing on colon, rectosigmoid junction, and rectum.

Method: Patients diagnosed with primary pT1 CRC between 2015 and 2019 were selected from National Cancer Database, utilizing International Classification of Diseases for Oncology, Third Edition (ICD-O-3) codes. We analyzed factors influencing LNM using uni- and multivariate analysis, then isolated tumor size to study its impact on LNM.

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!