Article

Multimodal meta-analysis of fecal metagenomes reveals microbial single nucleotide variants as superior biomarkers for early detection of colorectal cancer

2023-02-04

Abstract excerpt

Microbial signatures show remarkable potentials in predicting colorectal cancer (CRC). This study aimed to evaluate the diagnostic powers of multimodal microbial signatures, multi-kingdom species, genes, and single-nucleotide variants (SNVs) for detecting pre-cancerous adenomas. We performed cross-cohort analyses on whole metagenome sequencing data of 750 samples via xMarkerFinder to identify adenoma-associated mi...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work: f469e571-62ac-55f5-8b65-dbcf86355df1
DOI: 10.1101/2023.02.04.527090

Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest

Multimodal meta-analysis of fecal metagenomes reveals microbial single nucleotide variants as superior biomarkers for early detection of colorectal cancerDOI 10.1101/2023.02.04.527090Read

Multimodal metagenomic analysis reveals microbial single nucleotide variants as superior biomarkers for early detection of colorectal cancer.Semantic proximity Read

Establishing a novel colorectal cancer predictive model based on unique gut microbial single nucleotide variant markers.Semantic proximity Read

Multi-kingdom microbiota analyses identifybacterial–fungal interactions and biomarkers of colorectal cancer acrosscohortsSemantic proximity Read

Expansion of Colorectal Cancer Biomarkers Based on Gut Bacteria and VirusesSemantic proximity Read

Multi-kingdom microbial signatures in excess body weight colorectal cancer based on global metagenomic analysisSemantic proximity Read

Human Gut Microbiome-Based Knowledgebase as a Biomarker Screening Tool to Improve the Predicted Probability for Colorectal CancerSemantic proximity Read

Alterations of Gut Microbiome in Patients with Colorectal Advanced Adenoma by Metagenomic AnalysesSemantic proximity Read

Classification of Changes in the Fecal Microbiota Associated with Colonic Adenomatous Polyps Using a Long-Read Sequencing PlatformSemantic proximity Read

Identification of microbial markers across populations in early detection of colorectal cancerSemantic proximity Read

Identification and characterization of four bacteriome- and mycobiome-derived subtypes in tumour and adjacent mucosa tissue of colorectal cancer patientsSemantic proximity Read

Meta-analysis of Multi-functional Biomarkers for Discovery and Predictive Modeling of Colorectal Adenoma and CarcinomaSemantic proximity Read

Faecal microbiome-based machine learning for multi-class disease diagnosisSemantic proximity Read