Bluesky Facebook Reddit Email

Predicting liver cancer spread

02.01.11 | JCI Journals

GQ GMC-500Plus Geiger Counter

GQ GMC-500Plus Geiger Counter logs beta, gamma, and X-ray levels for environmental monitoring, training labs, and safety demonstrations.

Patients with cancer usually do not die as a result of their originally diagnosed tumor. However, many do so as a result of metastatic disease — tumors that arise at distant sites after spreading from the original tumor. Identifying biomarkers of tumor metastasis would therefore be of immense clinical benefit. In this context, a team of researchers — led by Peng Loh, at the National Institutes of Health, Bethesda; and Ronnie Poon, at the The University of Hong Kong, China — has now identified a potential biomarker for predicting future metastasis in patients with the most common form of liver cancer (hepatocellular carcinoma [HCC]). Specifically, the team found that quantification of the mRNA template for a truncated version of the protein carboxypeptidase E (CPE) in HCC patient samples predicted intrahepatic metastasis with high sensitivity and specificity. They therefore suggest that this truncated protein could be a powerful biomarker for predicting future metastasis in patients with HCC and thereby be of use to clinicians, helping guide therapeutic decisions.

TITLE: An N-terminal truncated carboxypeptidase E splice isoform induces tumor growth and is a biomarker for predicting future metastasis in human cancers

AUTHOR CONTACT:
Y. Peng Loh
National Institutes of Health, Bethesda, Maryland, USA.
Phone: 301.496.3239; Fax: 301.496.9938; E-mail: lohp@mail.nih.gov .

Ronnie T. Poon
The University of Hong Kong, Queen Mary Hospital, Hong Kong, China.
Phone: 852.2855.3641; Fax: 852.2817.5475, E-mail: poontp@hkucc.hku.hk .

View this article at: http://www.jci.org/articles/view/40433?key=4a1a18f6169983df9588

Journal of Clinical Investigation

Keywords

Article Information

Contact Information

Ushma Neill
JCI Journals
press_releases@the-jci.org

How to Cite This Article

APA:
JCI Journals. (2011, February 1). Predicting liver cancer spread. Brightsurf News. https://www.brightsurf.com/news/LNMNK7Y1/predicting-liver-cancer-spread.html
MLA:
"Predicting liver cancer spread." Brightsurf News, Feb. 1 2011, https://www.brightsurf.com/news/LNMNK7Y1/predicting-liver-cancer-spread.html.