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COLONOMICS - integrative omics data of one hundred paired normal-tumoral samples from colon cancer patients.
Díez-Villanueva, Anna; Sanz-Pamplona, Rebeca; Solé, Xavier; Cordero, David; Crous-Bou, Marta; Guinó, Elisabet; Lopez-Doriga, Adriana; Berenguer, Antoni; Aussó, Susanna; Paré-Brunet, Laia; Obón-Santacana, Mireia; Moratalla-Navarro, Ferran; Salazar, Ramon; Sanjuan, Xavier; Santos, Cristina; Biondo, Sebastiano; Diez-Obrero, Virginia; Garcia-Serrano, Ainhoa; Alonso, Maria Henar; Carreras-Torres, Robert; Closa, Adria; Moreno, Víctor.
Affiliation
  • Díez-Villanueva A; Oncology Data Analytics Program, Catalan Institute of Oncology (ICO). Hospitalet de Llobregat, Barcelona, Spain.
  • Sanz-Pamplona R; Colorectal Cancer Group, ONCOBELL, Bellvitge Biomedical Research Institute (IDIBELL). Hospitalet de Llobregat, Barcelona, Spain.
  • Solé X; Biomedical Research Centre Network for Epidemiology and Public Health (CIBERESP), Madrid, Spain.
  • Cordero D; Oncology Data Analytics Program, Catalan Institute of Oncology (ICO). Hospitalet de Llobregat, Barcelona, Spain.
  • Crous-Bou M; Colorectal Cancer Group, ONCOBELL, Bellvitge Biomedical Research Institute (IDIBELL). Hospitalet de Llobregat, Barcelona, Spain.
  • Guinó E; Biomedical Research Centre Network for Epidemiology and Public Health (CIBERESP), Madrid, Spain.
  • Lopez-Doriga A; Molecular Biology CORE, Center for Biomedical Diagnostics, Hospital Clínic de Barcelona, 08036, Barcelona, Spain.
  • Berenguer A; Translational Genomic and Targeted Therapeutics in Solid Tumors, August Pi i Sunyer Biomedical Research Institute (IDIBAPS), 08036, Barcelona, Spain.
  • Aussó S; Oncology Data Analytics Program, Catalan Institute of Oncology (ICO). Hospitalet de Llobregat, Barcelona, Spain.
  • Paré-Brunet L; Colorectal Cancer Group, ONCOBELL, Bellvitge Biomedical Research Institute (IDIBELL). Hospitalet de Llobregat, Barcelona, Spain.
  • Obón-Santacana M; Biomedical Research Centre Network for Epidemiology and Public Health (CIBERESP), Madrid, Spain.
  • Moratalla-Navarro F; Unit of Nutrition and Cancer, Cancer Epidemiology Research Program, Catalan Institute of Oncology (ICO) - Bellvitge Biomedical Research Institute (IDIBELL). L'Hospitalet de Llobregat, Barcelona, 08908, Spain.
  • Salazar R; Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, 02115, USA.
  • Sanjuan X; Oncology Data Analytics Program, Catalan Institute of Oncology (ICO). Hospitalet de Llobregat, Barcelona, Spain.
  • Santos C; Colorectal Cancer Group, ONCOBELL, Bellvitge Biomedical Research Institute (IDIBELL). Hospitalet de Llobregat, Barcelona, Spain.
  • Biondo S; Biomedical Research Centre Network for Epidemiology and Public Health (CIBERESP), Madrid, Spain.
  • Diez-Obrero V; Oncology Data Analytics Program, Catalan Institute of Oncology (ICO). Hospitalet de Llobregat, Barcelona, Spain.
  • Garcia-Serrano A; Colorectal Cancer Group, ONCOBELL, Bellvitge Biomedical Research Institute (IDIBELL). Hospitalet de Llobregat, Barcelona, Spain.
  • Alonso MH; Biomedical Research Centre Network for Epidemiology and Public Health (CIBERESP), Madrid, Spain.
  • Carreras-Torres R; Rheumatology Department - Parc Taulí Research and Innovation Institute (I3PT), Barcelona, Spain.
  • Closa A; TIC Salut Social Foundation. Ministry of Health of Generalitat de Catalunya, Barcelona, Spain.
  • Moreno V; Reveal Genomics. S.L., Barcelona, Spain.
Sci Data ; 9(1): 595, 2022 10 01.
Article in En | MEDLINE | ID: mdl-36182938
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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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Colonic Neoplasms / MicroRNAs Type of study: Prognostic_studies Limits: Humans Language: En Journal: Sci Data Year: 2022 Document type: Article Affiliation country:
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Colonic Neoplasms / MicroRNAs Type of study: Prognostic_studies Limits: Humans Language: En Journal: Sci Data Year: 2022 Document type: Article Affiliation country: