Article

Gene interaction perturbation network deciphers a high-resolution taxonomy in colorectal cancer

2022-09-05

Abstract excerpt

Molecular subtypes of colorectal cancer (CRC) are currently identified via the snapshot transcriptional profiles, largely ignoring the dynamic changes of gene expressions. Conversely, biological networks remain relatively stable irrespective of time and condition. Here, we introduce an individual-specific gene interaction perturbation network-based (GIN) approach and identify six GIN subtypes (GINS1-6) with distin...

Topics

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

Identifiers and source

Literature Corpus work: e4712af8-c1ea-55d4-ac48-4bbb34c56122
DOI: 10.1101/2022.09.02.506442

Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest

Gene interaction perturbation network deciphers a high-resolution taxonomy in colorectal cancerDOI 10.1101/2022.09.02.506442Read

Gene interaction perturbation network deciphers a high-resolution taxonomy in colorectal cancer.Semantic proximity Read

Single-Cell Transcriptome Analysis Reveals Heterogeneity and Convergence of the Tumor Microenvironment in CRCSemantic proximity Read

Comprehensive characterization of tumor microenvironment in colorectal cancer via histopathology-molecular analysisSemantic proximity Read

Single-Cell RNA Sequencing and Inferred Protein Activity Analysis Reveal a Distinct Tumor Phenotype in Early-Onset Colorectal Cancer PatientsSemantic proximity Read

Crosstalk of cell death pathways implicates heterogeneity among molecular subtypes in colorectal cancerSemantic proximity Read

Selective analysis of cancer-cell intrinsic transcriptional traits defines novel clinically relevant subtypes of colorectal cancer.Semantic proximity Read

Pathway level subtyping identifies a slow-cycling biological phenotype associated with poor clinical outcomes in colorectal cancer.Semantic proximity Read

Deep immunophenotyping reveals clinically distinct cellular states and ecosystems in large-scale colorectal cancerSemantic proximity Read

Single-cell technology reveals the crosstalk between tumor cells and immune cells: driving immune signal transduction and inflammation-mediated cardiac dysfunction in the tumor microenvironment of colorectal cancerSemantic proximity Read

Single-cell transcriptome analysis reveals heterogeneity and convergence of the tumor microenvironment in colorectal cancerSemantic proximity Read

Exploring the prognostic value of N4-acetylcytosine- modified genes in colorectal cancer using transcriptomics combined with single-cell dataSemantic proximity Read

Multi-bioinformatics revealed potential biomarkers and repurposed drugs for gastric adenocarcinoma-related gastric intestinal metaplasiaSemantic proximity Read