Literature DB >> 20919825

Metabolomics and detection of colorectal cancer in humans: a systematic review.

Haili Wang1, Victor K Tso, Carolyn M Slupsky, Richard N Fedorak.   

Abstract

Metabolomics represents one of the new omics sciences and capitalizes on the unique presence and concentration of small molecules in tissues and body fluids to construct a 'fingerprint' that can be unique to the individual and, within that individual, unique to environmental influences, including health and disease states. As such, metabolomics has the potential to serve an important role in diagnosis and management of human conditions. Colorectal cancer is a major public health concern. Current population-based screening methods are suboptimal and whether metabolomics could represent a new tool of screening is under investigation. The purpose of this systematic review is to summarize existing literature on metabolomics and colorectal cancer, in terms of diagnostic accuracies and distinguishing metabolites. Eight studies are included. A total of 12 metabolites (taurine, lactate, choline, inositol, glycine, phosphocholine, proline, phenylalanine, alanine, threonine, valine and leucine) were found to be more prevalent in colorectal cancer and glucose was found to be in higher proportion in control specimens using tissue metabolomics. Serum and urine metabolomics identified several other differential metabolites between controls and colorectal cancer patients. This article highlights the novelty of the field of metabolomics in colorectal oncology.

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Year:  2010        PMID: 20919825     DOI: 10.2217/fon.10.107

Source DB:  PubMed          Journal:  Future Oncol        ISSN: 1479-6694            Impact factor:   3.404


  35 in total

Review 1.  Metabolomic signature of brain cancer.

Authors:  Renu Pandey; Laura Caflisch; Alessia Lodi; Andrew J Brenner; Stefano Tiziani
Journal:  Mol Carcinog       Date:  2017-07-17       Impact factor: 4.784

2.  Impact of tumor microenvironment and epithelial phenotypes on metabolism in breast cancer.

Authors:  Heather Ann Brauer; Liza Makowski; Katherine A Hoadley; Patricia Casbas-Hernandez; Lindsay J Lang; Erick Romàn-Pèrez; Monica D'Arcy; Alex J Freemerman; Charles M Perou; Melissa A Troester
Journal:  Clin Cancer Res       Date:  2012-12-12       Impact factor: 12.531

3.  Serum and urine metabolomic fingerprinting in diagnostics of inflammatory bowel diseases.

Authors:  Tomasz Dawiskiba; Stanisław Deja; Agata Mulak; Adam Ząbek; Ewa Jawień; Dorota Pawełka; Mirosław Banasik; Agnieszka Mastalerz-Migas; Waldemar Balcerzak; Krzysztof Kaliszewski; Jan Skóra; Piotr Barć; Krzysztof Korta; Kornel Pormańczuk; Przemyslaw Szyber; Adam Litarski; Piotr Młynarz
Journal:  World J Gastroenterol       Date:  2014-01-07       Impact factor: 5.742

4.  Metabolomics connects aberrant bioenergetic, transmethylation, and gut microbiota in sarcoidosis.

Authors:  Andreea Geamanu; Smiti V Gupta; Christian Bauerfeld; Lobelia Samavati
Journal:  Metabolomics       Date:  2016-01-20       Impact factor: 4.290

5.  Biomarkers of coordinate metabolic reprogramming in colorectal tumors in mice and humans.

Authors:  Soumen K Manna; Naoki Tanaka; Kristopher W Krausz; Majda Haznadar; Xiang Xue; Tsutomu Matsubara; Elise D Bowman; Eric R Fearon; Curtis C Harris; Yatrik M Shah; Frank J Gonzalez
Journal:  Gastroenterology       Date:  2014-01-15       Impact factor: 22.682

Review 6.  Role of taurine, its haloamines and its lncRNA TUG1 in both inflammation and cancer progression. On the road to therapeutics? (Review).

Authors:  Stella Baliou; Anthony M Kyriakopoulos; Demetrios A Spandidos; Vassilios Zoumpourlis
Journal:  Int J Oncol       Date:  2020-07-14       Impact factor: 5.650

7.  Metabolic phenotyping to monitor chronic enteritis canceration.

Authors:  Fan Zhang; Chunbo Li; Kui Deng; Zhuozhong Wang; Weiwei Zhao; Kai Yang; Chunyan Yang; Zhiwei Rong; Lei Cao; Yaxin Lu; Yue Huang; Peng Han; Kang Li
Journal:  Metabolomics       Date:  2020-02-24       Impact factor: 4.290

8.  Can metabolomics in addition to genomics add to prognostic and predictive information in breast cancer?

Authors:  Anthony Howell
Journal:  BMC Med       Date:  2010-11-16       Impact factor: 8.775

9.  Energy deprivation by silibinin in colorectal cancer cells: a double-edged sword targeting both apoptotic and autophagic machineries.

Authors:  Komal Raina; Chapla Agarwal; Ritambhara Wadhwa; Natalie J Serkova; Rajesh Agarwal
Journal:  Autophagy       Date:  2013-02-27       Impact factor: 16.016

10.  Diet-induced hyperinsulinemia differentially affects glucose and protein metabolism: a high-throughput metabolomic approach in rats.

Authors:  U Etxeberria; A L de la Garza; J A Martínez; F I Milagro
Journal:  J Physiol Biochem       Date:  2013-01-19       Impact factor: 4.158

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