COLONOMICS - integrative omics data of one hundred paired normal-tumoral samples from colon cancer patients
Anna Díez-Villanueva, Rebeca Sanz‐Pamplona, Xavier Solé, David Cordero, Marta Crous‐Bou, Elisabet Guinó, Adriana López‐Doriga, Antonio Berenguer, Susanna Aussó, Laia Paré, Mireia Obón‐Santacana, Ferrán Moratalla-Navarro, Ramón Salazar, Xavier Sanjuán, Cristina Santos, Sebastiano Biondo, Virginia Díez‐Obrero, Ainhoa García‐Serrano, M. Henar Alonso, Robert Carreras‐Torres, Adrià Closa, Vı́ctor Moreno
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.