2022
DOI: 10.1038/s41597-022-01697-5
|View full text |Cite|
|
Sign up to set email alerts
|

COLONOMICS - integrative omics data of one hundred paired normal-tumoral samples from colon cancer patients

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 expl… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
1
1
1

Citation Types

0
6
0

Year Published

2022
2022
2024
2024

Publication Types

Select...
8

Relationship

1
7

Authors

Journals

citations
Cited by 9 publications
(6 citation statements)
references
References 39 publications
(54 reference statements)
0
6
0
Order By: Relevance
“…In addition to small RNA-seq, it has microarray expression data for the same subjects. Sample processing, quality control and normalization are described elsewhere [ 21 ].…”
Section: Methodsmentioning
confidence: 99%
“…In addition to small RNA-seq, it has microarray expression data for the same subjects. Sample processing, quality control and normalization are described elsewhere [ 21 ].…”
Section: Methodsmentioning
confidence: 99%
“…To test our signature we employed six independent datasets. These comprise 126 Colon Cancer WES obtained from TCGA; 72 colon WES samples from Genentech (Seshagiri et al, 2012); 42 samples taken from Colonomics (Díez-Villanueva et al, 2022); 101 Breast Cancer WES samples obtained from dbGaP (NCBI, 2021); 291 colon samples from COCA-CN study taken from ICGC (Zhang et al, 2019) and 338 samples from LINC-JP taken from ICGC. The first three datasets were analyzed with our pipeline starting from the BAM files.…”
Section: Datasetsmentioning
confidence: 99%
“…We searched the CRC dataset from the Gene Expression Omnibus (GEO) database (http://www.ncbi.nlm.nih.gov/geo/, accessed on 10 November 2023) using the keyword "Colorectal cancer". As the training dataset obtained from our retrieval, the GSE44076 dataset contained data from 98 CRC samples and 50 healthy control samples [49]. All the data analyzed in this study were extracted from the GEO database; thus, no ethical approval or informed consent was required.…”
Section: Acquisition Of Crc-related Targetsmentioning
confidence: 99%