We use cookies to understand how you use our site and to improve your experience. This includes personalizing content and advertising. To learn more, click here. By continuing to use our site, you accept our use of cookies. Cookie Policy.

Features Partner Sites Information LinkXpress
Sign In
Advertise with Us
RANDOX LABORATORIES

Download Mobile App




Blood Test Predicts Likelihood that Nonalcoholic Fatty Liver Disease Will Progress to Liver Cancer

By LabMedica International staff writers
Posted on 23 Jun 2022
Print article
Image: Stages of progression of non-alcoholic fatty liver disease (Photo courtesy of Wikimedia Commons)
Image: Stages of progression of non-alcoholic fatty liver disease (Photo courtesy of Wikimedia Commons)

A bioinformatics approach was used to transform a 133-gene panel, which could predict the likelihood of a patient with nonalcoholic fatty liver disease (NAFLD) progressing to hepatocellular carcinoma (HCC), into an easily performed four-protein blood test.

NAFLD is the most common liver disorder worldwide and leading cause of chronic liver disease. The disease affects approximately 25% of the world's population. It is particularly common in developed nations, such as the United States, and affected about 75 to 100 million Americans in 2017. There are two types of NAFLD: non-alcoholic fatty liver (NAFL) and non-alcoholic steatohepatitis (NASH). Non-alcoholic fatty liver usually does not progress to liver damage or NASH. NASH includes both a fatty liver and liver inflammation. A reliable method to predict HCC risk is an urgent unmet need in patients with NAFLD.

In this regard, investigators at the University of Texas Southwestern Medical Center (Dallas, USA) analyzed samples from 409 NAFLD patients to reveal a set of 133 genes that were expressed at levels higher or lower than average in the livers of patients who developed HCC over a 15-year follow-up period. The patients were classified as high- or low-risk based on to what extent these genes were expressed. Over 15 years after the samples were taken, 22.7% of the high-risk patients were diagnosed with HCC while no low-risk group patients developed HCC.

The investigators used a bioinformatics approach to convert the panel of 133 liver genes into a four protein (secretome) signature whose levels could be measured in blood samples for easier risk assessment. When patients were stratified into high- and low-risk groups based on these proteins, 37.6% of patients in the high-risk group were diagnosed with HCC during the 15-year follow-up period while no patients in the low-risk group were diagnosed.

"This test lets us non-invasively identify who should be followed most closely with regular ultrasounds to screen for liver cancer," said senior author Dr. Yujin Hoshida, associate professor of internal medicine at the University of Texas Southwestern Medical Center. "This test was especially good at telling us who was in that low-risk group. We can much more confidently say now that those patients do not need to be followed very closely."

"This means we could actually use these panels of molecules to track how well patients are doing over time or to inform potential effectiveness of medical interventions to reduce liver cancer risk," said Dr. Hoshida. "For instance, the protein blood test, dubbed PLSec-NAFLD, is already being used to monitor the effectiveness of a cholesterol drug in reducing liver cancer risk in an ongoing clinical trial."

The study was published in the June 22, 2022, online edition of the journal Science Translational Medicine.

Related Links:
University of Texas Southwestern Medical Center

Platinum Member
COVID-19 Rapid Test
OSOM COVID-19 Antigen Rapid Test
Magnetic Bead Separation Modules
MAG and HEATMAG
Complement 3 (C3) Test
GPP-100 C3 Kit
Gold Member
Real-time PCR System
GentierX3 Series

Print article

Channels

Clinical Chemistry

view channel
Image: The 3D printed miniature ionizer is a key component of a mass spectrometer (Photo courtesy of MIT)

3D Printed Point-Of-Care Mass Spectrometer Outperforms State-Of-The-Art Models

Mass spectrometry is a precise technique for identifying the chemical components of a sample and has significant potential for monitoring chronic illness health states, such as measuring hormone levels... Read more

Hematology

view channel
Image: The CAPILLARYS 3 DBS devices have received U.S. FDA 510(k) clearance (Photo courtesy of Sebia)

Next Generation Instrument Screens for Hemoglobin Disorders in Newborns

Hemoglobinopathies, the most widespread inherited conditions globally, affect about 7% of the population as carriers, with 2.7% of newborns being born with these conditions. The spectrum of clinical manifestations... Read more

Immunology

view channel
Image: Exosomes can be a promising biomarker for cellular rejection after organ transplant (Photo courtesy of Nicolas Primola/Shutterstock)

Diagnostic Blood Test for Cellular Rejection after Organ Transplant Could Replace Surgical Biopsies

Transplanted organs constantly face the risk of being rejected by the recipient's immune system which differentiates self from non-self using T cells and B cells. T cells are commonly associated with acute... Read more

Microbiology

view channel
Image: Microscope image showing human colorectal cancer tumor with Fusobacterium nucleatum stained in a red-purple color (Photo courtesy of Fred Hutch Cancer Center)

Mouth Bacteria Test Could Predict Colon Cancer Progression

Colon cancer, a relatively common but challenging disease to diagnose, requires confirmation through a colonoscopy or surgery. Recently, there has been a worrying increase in colon cancer rates among younger... Read more

Pathology

view channel
Image: A new study has identified patterns that predict ovarian cancer relapse (Photo courtesy of Cedars-Sinai)

Spatial Tissue Analysis Identifies Patterns Associated With Ovarian Cancer Relapse

High-grade serous ovarian carcinoma is the most lethal type of ovarian cancer, and it poses significant detection challenges. Typically, patients initially respond to surgery and chemotherapy, but the... Read more
Copyright © 2000-2024 Globetech Media. All rights reserved.