We've updated our Privacy Policy to make it clearer how we use your personal data.

We use cookies to provide you with a better experience. You can read our Cookie Policy here.

Advertisement
Prediction of Gastric Cancer Metastasis through Urinary Metabolomic Investigation using GC/MS
News

Prediction of Gastric Cancer Metastasis through Urinary Metabolomic Investigation using GC/MS

Prediction of Gastric Cancer Metastasis through Urinary Metabolomic Investigation using GC/MS
News

Prediction of Gastric Cancer Metastasis through Urinary Metabolomic Investigation using GC/MS

Read time:
 

Want a FREE PDF version of This News Story?

Complete the form below and we will email you a PDF version of "Prediction of Gastric Cancer Metastasis through Urinary Metabolomic Investigation using GC/MS"

First Name*
Last Name*
Email Address*
Country*
Company Type*
Job Function*
Would you like to receive further email communication from Technology Networks?

Technology Networks Ltd. needs the contact information you provide to us to contact you about our products and services. You may unsubscribe from these communications at any time. For information on how to unsubscribe, as well as our privacy practices and commitment to protecting your privacy, check out our Privacy Policy

Methods:
Human gastric cancer SGC-7901 cells were implanted into 24 severe combined immune deficiency (SCID) mice, which were randomly divided into metastasis group (n = 8), non-metastasis group (n = 8), and normal group (n = 8). Urinary metabolomic information was obtained by gas chromatography/mass spectrometry (GC/MS).

Results:
There were significant metabolic differences among the three groups (t test, P < 0.05). Ten selected metabolites were different between normal and cancer groups (non-metastasis and metastasis groups), and seven metabolites were also different between non-metastasis and metastasis groups. Two diagnostic models for gastric cancer and metastasis were constructed respectively by the principal component analysis (PCA). These PCA models were confirmed by corresponding receiver operating characteristic analysis (area under the curve = 1.00).

Conclusion:
The urinary metabolomic profile is different, and the selected metabolites might be instructive to clinical diagnosis or screening metastasis for gastric cancer.
 
The article is published online in the World Journal of Gastroenterology and is free to access.

Advertisement