ArticleJournal of Cancer2019
The transcriptome difference between colorectal tumor and normal tissues revealed by single-cell sequencing.
Article in Journal of Cancer, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers.
What it found
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The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
29 citing papers in PubMed, 46 citations in OpenAlex.
- Astragaloside II suppresses colorectal cancer progression by upregulating LGALS4 expression.Journal of molecular histology · 2026Article
- HEPACAM2 expression for prognostic stratification in rectal adenocarcinoma treated with neoadjuvant chemoradiotherapy.BMC cancer · 2026Article
- Proteomic remodeling during tumor cell-induced platelet aggregation unveils metastatic drivers in colorectal cancer.Cancer cell international · 2026Article
- AI-enabled multi-omics integration in colorectal cancer: from molecular stratification to clinical translation.Frontiers in cell and developmental biology · 2026Review
- Article
- Comprehensive Analysis and Experimental Validation of HEPACAM2 as a Potential Prognosis Biomarker and Immunotherapy Target in Colorectal Cancer.Current gene therapy · 2025Article
- Fatty acid metabolism-related enzymes in colorectal cancer metastasis: from biological function to molecular mechanism.Cell death discovery · 2024Review
- Article
- Application of Single-Cell Sequencing Technology in Research on Colorectal Cancer.Journal of personalized medicine · 2024Review
- RPL21 interacts with LAMP3 to promote colorectal cancer invasion and metastasis by regulating focal adhesion formation.Cellular & molecular biology letters · 2023Article
- Molecular differences of angiogenic versus vessel co-opting colorectal cancer liver metastases at single-cell resolution.Molecular cancer · 2023Article
- A co-regulatory network ofAmerican journal of cancer research · 2023Article
- Dynamic heterogeneity of colorectal cancer during progression revealed clinical risk-associated cell types and regulations in single-cell resolution and spatial context.Gastroenterology report · 2023Article
- Cell-free circulating tumor RNAs in plasma as the potential prognostic biomarkers in colorectal cancer.Frontiers in oncology · 2023Article
- Transcriptomic analysis reveals an association of FCGBP with Parkinson's disease.NPJ Parkinson's disease · 2022Article
- Article
- Single-Cell RNA Sequencing for Analyzing the Intestinal Tract in Healthy and Diseased Individuals.Frontiers in cell and developmental biology · 2022Review
- Integrated Single-Cell RNA-Sequencing Analysis of Gastric Cancer Identifies FABP1 as a Novel Prognostic Biomarker.Journal of oncology · 2022Article
- Proteomic Characterization of Colorectal Cancer Tissue from Patients Identifies Novel Putative Protein Biomarkers.Current issues in molecular biology · 2021Article
- Expression profiling of ileal mucosa in asthma reveals upregulation of innate immunity and genes characteristic of Paneth and goblet cells.Allergy, asthma, and clinical immunology : official journal of the Canadian Society of Allergy and Clinical Immunology · 2021Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The previous cancer studies were difficult to reproduce since the tumor tissues were analyzed directly. But the tumor tissues were actually a mixture of different cancer cells. The transcriptome of single-cell was much robust than the transcriptome of a mixed tissue. The single-cell transcriptome had much smaller variance. In this study, we analyzed the single-cell transcriptome of 272 colorectal cancer (CRC) epithelial cells and 160 normal epithelial cells and identified 342 discriminative transcripts using advanced machine learning methods. The most discriminative transcripts were LGALS4, PHGR1, C15orf48, HEPACAM2, PERP, FABP1, FCGBP, MT1G, TSPAN1 and CKB. We further clustered the 342 transcripts into two categories. The upregulated transcripts in CRC epithelial cells were significantly enriched in Ribosome, Protein processing in endoplasmic reticulum, Antigen processing and presentation and p53 signaling pathway. The downregulated transcripts in CRC epithelial cells were significantly enriched in Mineral absorption, Aldosterone-regulated sodium reabsorption and Oxidative phosphorylation pathways. The biological analysis of the discriminative transcripts revealed the possible mechanism of colorectal cancer.
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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 OpenQuestion graph.