ArticleScientific data2022
COLONOMICS - integrative omics data of one hundred paired normal-tumoral samples from colon cancer patients.
Article in Scientific data, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 16 papers.
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Who cites it
16 citing papers in PubMed, 28 citations in OpenAlex.
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- Artificial intelligence driven multi-omics framework identifies COL6A3 as a diagnostic biomarker and a putative gene target modulated by Embelin in Colorectal cancer.Frontiers in oncology · 2026Article
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- Identification of endoplasmic reticulum stress-related genes as prognostic markers in colon cancer.Cancer biology & therapy · 2025Article
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- Identification of necroptosis & mitophagy-related key genes and their prognostic value in colorectal cancer.Discover oncology · 2025Article
- Differences in tumor-associated T-cell receptor repertoires between early-onset and average-onset colorectal cancer.Journal of the National Cancer Institute · 2024Article
- SULF1 regulates malignant progression of colorectal cancer by modulating ARSH via FAK/PI3K/AKT/mTOR signaling.Cancer cell international · 2024Article
- Multi-omics staging of locally advanced rectal cancer predicts treatment response: a pilot study.La Radiologia medica · 2024Article
- Potential Mechanism of Tibetan Medicine Liuwei Muxiang Pills against Colorectal Cancer: Network Pharmacology and Bioinformatics Analyses.Pharmaceuticals (Basel, Switzerland) · 2024Article
- TMBcalc: a computational pipeline for identifying pan-cancer Tumor Mutational Burden gene signatures.Frontiers in genetics · 2024Article
- Identification of a Twelve-microRNA Signature with Prognostic Value in Stage II Microsatellite Stable Colon Cancer.Cancers · 2023Article
- COLONOMICS - integrative omics data of one hundred paired normal-tumoral samples from colon cancer patients.Scientific data · 2022Article
Corrections and comments
- Erratum issued
Authors and funding
22 authors at 8 institutions in 3 countries.
Funding
Abstract
Colonomics is a multi-omics dataset that includes 250 samples: 50 samples from healthy colon mucosa donors and 100 paired samples from colon cancer patients (tumor/adjacent). From these samples, Colonomics project includes data from genotyping, DNA methylation, gene expression, whole exome sequencing and micro-RNAs (miRNAs) expression. It also includes data from copy number variation (CNV) from tumoral samples. In addition, clinical data from all these samples is available. The aims of the project were to explore and integrate these datasets to describe colon cancer at molecular level and to compare normal and tumoral tissues. Also, to improve screening by finding biomarkers for the diagnosis and prognosis of colon cancer. This project has its own website including four browsers allowing users to explore Colonomics datasets. Since generated data could be reuse for the scientific community for exploratory or validation purposes, here we describe omics datasets included in the Colonomics project as well as results from multi-omics layers integration.
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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.