Discover Community Create You

Loading publication...

Noodle always counts identifier-free feature events for service operation. With your permission, Google Analytics can also estimate audience and engagement. Search text, publication identifiers, cookies, IP addresses and browser fingerprints are never included in Noodle's first-party event counters.

Privacy details

Article

Exploring Core Genes by Comparative Transcriptomics Analysis for Early Diagnosis, Prognosis, and Therapies of Colorectal Cancer

21 Feb 2023

Abstract excerpt

Colorectal cancer (CRC) is one of the most common cancers with a high mortality rate. Early diagnosis and therapies for CRC may reduce the mortality rate. However, so far, no researchers have yet investigated core genes (CGs) rigorously for early diagnosis, prognosis, and therapies of CRC. Therefore, an attempt was made in this study to explore CRC-related CGs for early diagnosis, prognosis, and therapies. At...

Read the complete abstract on PubMed

Topics

Share this publication in a Topic to start or enrich a Post.

Share to Bioinformatics and Genomic Networks
Share to Cancer, Lipids, and Metabolism
Share to Ferroptosis and cancer prognosis

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Source

Identifiers

PMID: 36900162
DOI: 10.3390/cancers15051369

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 7 Sept 2026.

Related research

Semantic proximity does not establish scientific evidence.

Research trail→

Click a neighbor to travelStep 1 · 12 closest

Exploring Core Genes by Comparative Transcriptomics Analysis for Early Diagnosis, Prognosis, and Therapies of Colorectal CancerPMID 36900162Read ↗

Identification of key regulators associated with colon cancer prognosis and pathogenesisSemantic proximity Read ↗

Identification of Prognostic Biomarker Signatures and Candidate Drugs in Colorectal Cancer: Insights from Systems Biology AnalysisSemantic proximity Read ↗

The identification of a common different gene expression signature in patients with colorectal cancerSemantic proximity Read ↗

Identification of Genes Related to Clinicopathological Characteristics and Prognosis of Patients with Colorectal CancerSemantic proximity Read ↗

Bioinformatics screening of colorectal-cancer causing molecular signatures through gene expression profiles to discover therapeutic targets and candidate agentsSemantic proximity Read ↗

Identification of Prognostic Biomarker Signatures and Candidate Drugs in Colorectal Cancer: Insights from Systems Biology AnalysisSemantic proximity Read ↗

Identification of novel biomarkers and small molecule drugs in human colorectal cancer by microarray and bioinformatics analysisSemantic proximity Read ↗

Identification of Key Candidate Genes and Pathways in Colorectal Cancer by Integrated Bioinformatical Analysis.Semantic proximity Read ↗

A comprehensive multi-omics study reveals potential prognostic and diagnostic biomarkers for colorectal cancerSemantic proximity Read ↗

A Shortcut From Genome to Drug: The Employment of Bioinformatic Tools to Find New Targets for Gastric Cancer TreatmentSemantic proximity Read ↗

Bioinformatics Screening of Potential Biomarkers from mRNA Expression Profiles to Discover Drug Targets and Agents for Cervical CancerSemantic proximity Read ↗

Identification and Validation of Prognosis-Associated DNA Repair Gene Signatures in Colorectal CancerSemantic proximity Read ↗

⌁Select a neighboring publication to make it the new centre.