Urinary metabolomic profile and gastric cancer

March 8, 2011

A research team from China investigated urinary metabolites expression changes among three mice groups using gas chromatography/mass spectrometry. Ten metabolites have differences between the normal group and the cancer group (non-metastasis group and metastasis group). Furthermore, seven metabolites with characteristic expression levels were identified between non-metastasis group and metastasis group.

Metabolomics is a post-genomic research field for analysis of low molecular weight compounds in biological systems, and its approaches offer an analysis of metabolite level changes in biological samples. Recently, metabolomic method has shown great potentials in identifying the new diagnostic markers and therapeutic targets for cancers. However, metabolomic studies on cancer metastasis remain scarce.

A research article to be published on February 14, 2011 in the addresses this question. The authors used metabolomics, which is based on gas chromatography/mass spectrometry (GC/MS) technology, to study the urinary expression changes among three mice groups.

This is the first report on urinary metabolomic investigation in using GC/MS. Biomarkers discovered in this study are mainly low molecular weight metabolites, which are difficult to detect by traditional methods. On the basis of this research, the authors believe that urinary metabolomic information investigated by GC/MS might play a significant role in early diagnosis and screening metastasis or recurrence of gastric cancer.

Explore further: 3 newly discovered ERK pathway proteins related to CagA induced disease

More information: Hu JD, Tang HQ, Zhang Q, Fan J, Hong J, Gu JZ, Chen JL. Prediction of gastric cancer metastasis through urinary metabolomic investigation using GC/MS. World J Gastroenterol 2011; 17(6): 727-734 www.wjgnet.com/1007-9327/full/v17/i6/727.htm

Related Stories

Computer predicts anti-cancer molecules

June 17, 2008

A new computer-based method of analyzing cellular activity has correctly predicted the anti-tumour activity of several molecules. Research published today in BioMed Central's open access journal Molecular Cancer describes ...

A new molecular marker of gastric cancer

March 30, 2009

Gastric cancer (GC) is one of the most common malignancies in the world with a high incidence and death rate. TNM staging system is used worldwide to predict prognosis and direct therapeutic decisions of patients with GC. ...

MicroRNA-mediated metastasis suppression

October 28, 2009

Metastases are responsible for over 90% of cancer deaths. In the upcoming issue of G&D, Dr. Robert Weinberg (MIT) and colleagues lend molecular insight into how microRNAs suppress tumor metastasis.

Leukemia-related protein 16 and colorectal carcinoma

April 9, 2010

A research team from China investigated the expression of leukemia-related protein 16 (LRP16) in colorectal cancer and normal mucosas and possible relationship between LRP16 expression and clinicopathological variables. Their ...

Food quality improved with software

October 28, 2010

Max Planck Innovation GmbH, the technology transfer organization of the Max Planck Society, has awarded an exclusive license for the analysis software TagFinder to Metabolomic Discoveries GmbH, a service provider in biochemical ...

Recommended for you

How the finch changes its tune

August 3, 2015

Like top musicians, songbirds train from a young age to weed out errors and trim variability from their songs, ultimately becoming consistent and reliable performers. But as with human musicians, even the best are not machines. ...

Machine Translates Thoughts into Speech in Real Time

December 21, 2009

(PhysOrg.com) -- By implanting an electrode into the brain of a person with locked-in syndrome, scientists have demonstrated how to wirelessly transmit neural signals to a speech synthesizer. The "thought-to-speech" process ...

0 comments

Please sign in to add a comment. Registration is free, and takes less than a minute. Read more

Click here to reset your password.
Sign in to get notified via email when new comments are made.