Literature DB >> 34064065

Comprehensive Volatilome and Metabolome Signatures of Colorectal Cancer in Urine: A Systematic Review and Meta-Analysis.

Celia Mallafré-Muro1,2, Maria Llambrich3, Raquel Cumeras3,4,5, Antonio Pardo1, Jesús Brezmes3,4, Santiago Marco1,2, Josep Gumà6.   

Abstract

To increase compliance with colorectal cancer screening programs and to reduce the recommended screening age, cheaper and easy non-invasiveness alternatives to the fecal immunochemical test should be provided. Following the PRISMA procedure of studies that evaluated the metabolome and volatilome signatures of colorectal cancer in human urine samples, an exhaustive search in PubMed, Web of Science, and Scopus found 28 studies that met the required criteria. There were no restrictions on the query for the type of study, leading to not only colorectal cancer samples versus control comparison but also polyps versus control and prospective studies of surgical effects, CRC staging and comparisons of CRC with other cancers. With this systematic review, we identified up to 244 compounds in urine samples (3 shared compounds between the volatilome and metabolome), and 10 of them were relevant in more than three articles. In the meta-analysis, nine studies met the criteria for inclusion, and the results combining the case-control and the pre-/post-surgery groups, eleven compounds were found to be relevant. Four upregulated metabolites were identified, 3-hydroxybutyric acid, L-dopa, L-histidinol, and N1, N12-diacetylspermine and seven downregulated compounds were identified, pyruvic acid, hydroquinone, tartaric acid, and hippuric acid as metabolites and butyraldehyde, ether, and 1,1,6-trimethyl-1,2-dihydronaphthalene as volatiles.

Entities:  

Keywords:  colorectal cancer; meta-analysis; metabolomics; systematic review; urine; volatilomics

Year:  2021        PMID: 34064065     DOI: 10.3390/cancers13112534

Source DB:  PubMed          Journal:  Cancers (Basel)        ISSN: 2072-6694            Impact factor:   6.639


  4 in total

1.  Amanida: An R package for Meta-analysis of metabolomics non-integral data.

Authors:  Llambrich Maria; Correig Eudald; Gumà Josep; Brezmes Jesús; Cumeras Raquel
Journal:  Bioinformatics       Date:  2021-08-18       Impact factor: 6.937

2.  Discovery of Synergistic Drug Combinations for Colorectal Cancer Driven by Tumor Barcode Derived from Metabolomics "Big Data".

Authors:  Bo Lv; Ruijie Xu; Xinrui Xing; Chuyao Liao; Zunjian Zhang; Pei Zhang; Fengguo Xu
Journal:  Metabolites       Date:  2022-05-30

Review 3.  Use of Omics Technologies for the Detection of Colorectal Cancer Biomarkers.

Authors:  Marina Alorda-Clara; Margalida Torrens-Mas; Pere Miquel Morla-Barcelo; Toni Martinez-Bernabe; Jorge Sastre-Serra; Pilar Roca; Daniel Gabriel Pons; Jordi Oliver; Jose Reyes
Journal:  Cancers (Basel)       Date:  2022-02-06       Impact factor: 6.639

Review 4.  Urine NMR Metabolomics for Precision Oncology in Colorectal Cancer.

Authors:  Jesús Brezmes; Maria Llambrich; Raquel Cumeras; Josep Gumà
Journal:  Int J Mol Sci       Date:  2022-09-22       Impact factor: 6.208

  4 in total

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