ArticleFrontiers in oncology2021
Transcriptomic Analyses of the Adenoma-Carcinoma Sequence Identify Hallmarks Associated With the Onset of Colorectal Cancer.
Article in Frontiers in oncology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
21 citing papers in PubMed, 24 citations in OpenAlex.
- Cystic Fibrosis and Colorectal Cancer Risk: Reprogramming of the Intestinal Epithelial Niche and Cell-State Plasticity in the CFTR Modulator Era.Cell proliferation · 2026Review
- Multi Omics Integration in Colorectal Cancer: From Molecular Insights to Precision Oncology.Cancers · 2026Review
- Unpacking the Tumor Protein D52-like Family: Roles in Intracellular Trafficking and Cancer Progression.Cells · 2026Review
- Gamma smooth muscle actin as a new potential marker of cancer-associated fibroblasts.Histochemistry and cell biology · 2025Article
- The Impact of Cholecystectomy on Colorectal Cancer Risk: A Comprehensive Review on Risk Factors and the Association.Current gastroenterology reports · 2025Review
- Transcript PHF19-207 May Be a Long Non-Coding RNA with Tumor-Promoting Role in Colon Cancer.Biomolecules · 2025Article
- Colonic polyps in North-Western Romania: a comprehensive single-center analysis of endoscopic and pathological features.Medicine and pharmacy reports · 2025Article
- Roux-en-Y gastric bypass-associated fecal tyramine promotes colon cancer risk via increased DNA damage, cell proliferation, and inflammation.Microbiome · 2025Article
- Mucosal DNA and RNA virome alterations and their interactions with human RNA and microRNA transcriptomes in colorectal polyps.eGastroenterology · 2025Article
- Integrative Multi-Omics Analysis Reveals Critical Molecular Networks Linking Intestinal-System Diseases to Colorectal Cancer Progression.Biomedicines · 2024Article
- Elucidating immunological characteristics of the adenoma-carcinoma sequence in colorectal cancer patients in South Korea using a bioinformatics approach.Scientific reports · 2024Article
- S100a9 might act as a modulator of the Toll-like receptor 4 transduction pathway in chronic rhinosinusitis with nasal polyps.Scientific reports · 2024Article
- Macrophage Inflammatory Proteins (MIPs) Contribute to Malignant Potential of Colorectal Polyps and Modulate Likelihood of Cancerization Associated with Standard Risk Factors.International journal of molecular sciences · 2024Article
- Identification of GUCA2A and COL3A1 as prognostic biomarkers in colorectal cancer by integrating analysis of RNA-Seq data and qRT-PCR validation.Scientific reports · 2023Article
- RNA-Seq-Based Molecular Classification Analyses in Colorectal Cancer and Synchronous Adenoma.Cancers · 2023Article
- Article
- CCAT 1- A Pivotal Oncogenic Long Non-Coding RNA in Colorectal Cancer.British journal of biomedical science · 2023Review
- Systemic Interleukins' Profile in Early and Advanced Colorectal Cancer.International journal of molecular sciences · 2021Review
- Modulating Properties of Piroxicam, Meloxicam and Oxicam Analogues against Macrophage-Associated Chemokines in Colorectal Cancer.Molecules (Basel, Switzerland) · 2021Article
- Analysis of dynamic molecular networks: the progression from colorectal adenoma to cancer.Journal of gastrointestinal oncology · 2021Article
Corrections and comments
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Authors and funding
7 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The concept of the adenoma-carcinoma sequence in colorectal cancer (CRC) is widely accepted. However, the relationship between the characteristics of the transcriptome and the adenoma-carcinoma sequence in CRC remains unclear. Here, the transcriptome profiles of 15 tissue samples from five CRC patients were generated by RNAseq. Six specific dynamic expression patterns of differentially expressed genes (DEGs) were generated by mFuzz. Weighted correlation network analysis showed that DEGs in cluster 4 were associated with carcinoma tissues, and those in cluster 6 were associated with non-normal tissues. Gene Ontology and Kyoto Encyclopedia of Genes and Genomes analyses identified metabolic dysregulation as a consistent finding throughout the transition process, whereas downregulation of the immune response occurred during normal to adenoma transition, and the upregulation of canonical pathways was associated with adenoma to carcinoma transition. Overall survival analysis of patients in cluster 6 identified
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.