Category Ranking

98%

Total Visits

921

Avg Visit Duration

2 minutes

Citations

20

Article Abstract

Early detection by screening significantly reduces mortality from colorectal cancer, but 40% of guideline-eligible patients are not screened as recommended in the United States. Novel strategies to improve screening uptake overall and efforts to deploy best practices to underserved populations are a high priority for health care. This review focuses on existing biomarkers in practice and those in development with clinical relevance to early detection of colorectal neoplasia, with an emphasis on those developed by investigators of the NCI's Early Detection Research Network. Aberrantly methylated DNA markers (blood and stool), stool-based markers (including fecal immunochemical test-DNA), and a variety of blood-based marker assays in development (protein markers, glycoproteins including mucins, and cell-free DNA tests) are reviewed. Individual markers and biomarker panels, sample resources, and barriers to translating biomarkers to clinical practice are discussed.

Download full-text PDF

Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC7572434PMC
http://dx.doi.org/10.1158/1055-9965.EPI-20-0234DOI Listing

Publication Analysis

Top Keywords

early detection
20
detection colorectal
8
colorectal cancer
8
detection network
8
detection
5
biomarkers early
4
early
4
cancer early
4
network framework
4
framework clinical
4

Similar Publications

Caliciopsis pinea is the ascomycete plant pathogen that causes caliciopsis canker disease on North American Pinus strobus (eastern white pine). Infections result in downgrading of lumber due to canker formation and overall loss of vigor in P. strobus, which is a critical cover species throughout its native range.

View Article and Find Full Text PDF

Automatic markerless estimation of infant posture and motion from ordinary videos carries great potential for movement studies "in the wild", facilitating understanding of motor development and massively increasing the chances of early diagnosis of disorders. There has been a rapid development of human pose estimation methods in computer vision, thanks to advances in deep learning and machine learning. However, these methods are trained on datasets that feature adults in different contexts.

View Article and Find Full Text PDF

This study aims to investigate the predictive value of combined phenotypic age and phenotypic age acceleration (PhenoAgeAccel) for benign prostatic hyperplasia (BPH) and develop a machine learning-based risk prediction model to inform precision prevention and clinical management strategies. The study analyzed data from 784 male participants in the US National Health and Nutrition Examination Survey (NHANES, 2001-2008). Phenotypic age was derived from chronological age and nine serum biomarkers.

View Article and Find Full Text PDF

Coronary periarteritis in IgG4-RD: A case series.

Clin Rheumatol

September 2025

Division of Rheumatology, Department of Internal Medicine, Mayo Clinic, 200 First St SW, Rochester, MN, 55906, USA.

Objectives: IgG4-related disease (IgG4-RD) can affect multiple organ systems, with coronary artery involvement being rare. Coronary periarteritis may lead to complications such as myocardial infarction and ischemic cardiomyopathy. This case series characterizes the clinical and radiological features, complications, and treatment strategies in patients with IgG4-RD-associated coronary periarteritis.

View Article and Find Full Text PDF

Purpose: Lung cancer is currently the most common malignant tumor worldwide and one of the leading causes of cancer-related deaths, posing a serious threat to human health. MicroRNAs (miRNAs) are a class of endogenous non-coding small RNA molecules that regulate gene expression and are involved in various biological processes associated with lung cancer. Understanding the mechanisms of lung carcinogenesis and detecting disease biomarkers may enable early diagnosis of lung cancer.

View Article and Find Full Text PDF