Featured Research

from universities, journals, and other organizations

Genetic pattern that predicts leukemia relapse discovered

Date:
May 12, 2010
Source:
BioMed Central
Summary:
A genetic pattern that predicts the likelihood of relapse in patients with one of the most aggressive forms of childhood leukemia has been discovered. Researchers have identified a consistent pattern in five genes that has the potential to enable doctors to identify which patients would benefit from more aggressive treatment when first diagnosed with T-cell acute lymphoblastic leukemia.

A genetic pattern that predicts the likelihood of relapse in patients with one of the most aggressive forms of childhood leukemia has been discovered. Researchers publishing in the open access journal Molecular Cancer have identified a consistent pattern in five genes that has the potential to enable doctors to identify which patients would benefit from more aggressive treatment when first diagnosed with T-cell acute lymphoblastic leukemia (T-ALL).

Co-author Dr Alex Beesley of Perth's Telethon Institute for Child Health Research said "While up to 80% of children with T-ALL achieve complete remission, there are around 20% who relapse and whose prognosis can be very poor," Dr Beesley said. "In this study, we found a consistent pattern in the expression of five genes in patients that relapse. Importantly, this pattern was found to hold true across multiple patient cohorts, the first time that such a robust gene signature of this kind has been found for T-ALL. This gene signature would enable patients with T-ALL to be classified according to risk at the time of diagnosis."

Dr Beesley said the discovery had significant potential to improve outcomes for patients at high risk of relapse. "Patients identified using these markers could potentially be treated with more aggressive therapies from the outset to give them the best hope of achieving complete remission."

The research team analyzed bone marrow samples from children treated under the international Children's Oncology Group (COG) protocols.

They used gene-profiling (microarray) technology to model a five-gene classifier that accurately predicted clinical outcome in a cohort of 50 T-ALL patients. The five-gene classifier was further tested against three independent cohorts of T-ALL patients, using two different techniques (either quantitative RT-PCR or microarray gene expression), and could predict patients with significantly adverse clinical outcome in each.

Dr Beesley said the study also provided clues to the biological mechanisms leading to relapse in T-ALL, which could ultimately identify potential targets for new therapies to the disease.

T-ALL affects approximately 15% of newly diagnosed pediatric leukemia patients. The prognostic potential of the gene markers identified from this research will now be investigated as part of a large international Children's Oncology Group study of T-ALL patients undergoing the latest therapy.

This research was conducted in close collaboration with Perth's Princess Margaret Hospital, and was funded by the Children's Leukemia and Cancer Research Foundation (Perth), as well as the National Institute of Health (USA), the COG Chair's Grant (USA) and Cell Bank Grant (USA).


Story Source:

The above story is based on materials provided by BioMed Central. Note: Materials may be edited for content and length.


Journal Reference:

  1. Amanda L Cleaver, Alex H Beesley, Martin J Firth, Nina C Sturges, Rebecca A O'Leary, Stephen P Hunger, David L Baker and Ursula R Kees. Gene-based outcome prediction in multiple cohorts of pediatric T-cell acute lymphoblastic leukemia: a Children's Oncology Group study. Molecular Cancer, 2010; (in press) [link]

Cite This Page:

BioMed Central. "Genetic pattern that predicts leukemia relapse discovered." ScienceDaily. ScienceDaily, 12 May 2010. <www.sciencedaily.com/releases/2010/05/100511192244.htm>.
BioMed Central. (2010, May 12). Genetic pattern that predicts leukemia relapse discovered. ScienceDaily. Retrieved July 25, 2014 from www.sciencedaily.com/releases/2010/05/100511192244.htm
BioMed Central. "Genetic pattern that predicts leukemia relapse discovered." ScienceDaily. www.sciencedaily.com/releases/2010/05/100511192244.htm (accessed July 25, 2014).

Share This




More Health & Medicine News

Friday, July 25, 2014

Featured Research

from universities, journals, and other organizations


Featured Videos

from AP, Reuters, AFP, and other news services

Beatings and Addiction: Pakistan Drug 'clinic' Tortures Patients

Beatings and Addiction: Pakistan Drug 'clinic' Tortures Patients

AFP (July 24, 2014) A so-called drugs rehab 'clinic' is closed down in Pakistan after police find scores of ‘patients’ chained up alleging serial abuse. Duration 03:05 Video provided by AFP
Powered by NewsLook.com
Too Few Teens Receiving HPV Vaccination, CDC Says

Too Few Teens Receiving HPV Vaccination, CDC Says

Newsy (July 24, 2014) The Centers for Disease Control and Prevention is blaming doctors for the low number of children being vaccinated for HPV. Video provided by Newsy
Powered by NewsLook.com
New Painkiller Designed To Discourage Abuse: Will It Work?

New Painkiller Designed To Discourage Abuse: Will It Work?

Newsy (July 24, 2014) The FDA approved Targiniq ER on Wednesday, a painkiller designed to keep users from abusing it. Like any new medication, however, it has doubters. Video provided by Newsy
Powered by NewsLook.com
Doctor At Forefront Of Fighting Ebola Outbreak Gets Ebola

Doctor At Forefront Of Fighting Ebola Outbreak Gets Ebola

Newsy (July 24, 2014) Sheik Umar Khan has treated many of the people infected in the Ebola outbreak, and now he's become one of them. Video provided by Newsy
Powered by NewsLook.com

Search ScienceDaily

Number of stories in archives: 140,361

Find with keyword(s):
Enter a keyword or phrase to search ScienceDaily for related topics and research stories.

Save/Print:
Share:

Breaking News:
from the past week

In Other News

... from NewsDaily.com

Science News

    Health News

      Environment News

        Technology News



          Save/Print:
          Share:

          Free Subscriptions


          Get the latest science news with ScienceDaily's free email newsletters, updated daily and weekly. Or view hourly updated newsfeeds in your RSS reader:

          Get Social & Mobile


          Keep up to date with the latest news from ScienceDaily via social networks and mobile apps:

          Have Feedback?


          Tell us what you think of ScienceDaily -- we welcome both positive and negative comments. Have any problems using the site? Questions?
          Mobile: iPhone Android Web
          Follow: Facebook Twitter Google+
          Subscribe: RSS Feeds Email Newsletters
          Latest Headlines Health & Medicine Mind & Brain Space & Time Matter & Energy Computers & Math Plants & Animals Earth & Climate Fossils & Ruins