Early and Accurate Prediction of Leukemia Made Possible
By LabMedica International staff writers Posted on 25 Jan 2016 |

Image: Bone marrow aspirate of acute myeloid leukemia: Azurophilic granularity can be seen in essentially all of the blasts and variability in nuclear size and contour is observable (Photo courtesy of Dr. John Lazarchick, MD).
Acute myeloid leukemia (AML) is the most common type of leukemia in adults and recent studies demonstrate that early and accurate prediction of this aggressive cancer is possible how it will develop in individuals.
Scientists have been able to fingerprint myelodysplastic syndromes (MDS), a state for blood cells that turns into AML cancer in approximately 30% of patients. The study demonstrates that early and accurate prediction of this aggressive cancer is possible.
Scientists at McMaster University (Hamilton, ON, Canada) collaborated with those at the University of Bologna (Italy) to perform a retrospective study on human blood samples that had been previously collected from patients with MDS, some of whom eventually developed AML. Gene expression analysis of patient blood samples was accurate in predicting which patients would develop AML and which would not.
The study revealed that removal of glycogen synthase kinase-3α (GSK-3α) and GSK-3β dependency leads to aggressive AML. Although GSK-3α deletion alone has no effect, GSK-3β deletion in hematopoietic stem cells (HSCs) resulted in a pre-neoplastic state consistent with human myelodysplastic syndromes (MDSs). Transcriptome and functional studies reveal that each GSK-3β and GSK-3α uniquely contributes to AML by affecting Wnt/Akt/mTOR signaling and metabolism, respectively. The molecular signature of HSCs deleted for GSK-3β provided a prognostic tool for disease progression and survival of MDS patients. The study revealed that GSK-3α- and GSK-3β-regulated pathways can be responsible for stepwise transition to MDS and subsequent AML, thereby providing potential therapeutic targets of disease evolution.
Mickie Bhatia, PhD, a professor and lead investigator, said, “This discovery improves our ability to identify which patients with MDS will develop AML. However, our next step is to go beyond better predictive measures for the development of a blood cancer, and use this predictive gene expression as a target for drugs to prevent AML from developing altogether. This will be part of a new era of genetic-based drug discovery.” The study was published on January 11, 2016, in the journal Cancer Cell.
Related Links:
McMaster University
University of Bologna
Scientists have been able to fingerprint myelodysplastic syndromes (MDS), a state for blood cells that turns into AML cancer in approximately 30% of patients. The study demonstrates that early and accurate prediction of this aggressive cancer is possible.
Scientists at McMaster University (Hamilton, ON, Canada) collaborated with those at the University of Bologna (Italy) to perform a retrospective study on human blood samples that had been previously collected from patients with MDS, some of whom eventually developed AML. Gene expression analysis of patient blood samples was accurate in predicting which patients would develop AML and which would not.
The study revealed that removal of glycogen synthase kinase-3α (GSK-3α) and GSK-3β dependency leads to aggressive AML. Although GSK-3α deletion alone has no effect, GSK-3β deletion in hematopoietic stem cells (HSCs) resulted in a pre-neoplastic state consistent with human myelodysplastic syndromes (MDSs). Transcriptome and functional studies reveal that each GSK-3β and GSK-3α uniquely contributes to AML by affecting Wnt/Akt/mTOR signaling and metabolism, respectively. The molecular signature of HSCs deleted for GSK-3β provided a prognostic tool for disease progression and survival of MDS patients. The study revealed that GSK-3α- and GSK-3β-regulated pathways can be responsible for stepwise transition to MDS and subsequent AML, thereby providing potential therapeutic targets of disease evolution.
Mickie Bhatia, PhD, a professor and lead investigator, said, “This discovery improves our ability to identify which patients with MDS will develop AML. However, our next step is to go beyond better predictive measures for the development of a blood cancer, and use this predictive gene expression as a target for drugs to prevent AML from developing altogether. This will be part of a new era of genetic-based drug discovery.” The study was published on January 11, 2016, in the journal Cancer Cell.
Related Links:
McMaster University
University of Bologna
Latest Hematology News
- New Scoring System Predicts Risk of Developing Cancer from Common Blood Disorder
- Non-Invasive Prenatal Test for Fetal RhD Status Demonstrates 100% Accuracy
- WBC Count Could Predict Severity of COVID-19 Symptoms
- New Platelet Counting Technology to Help Labs Prevent Diagnosis Errors
- Streamlined Approach to Testing for Heparin-Induced Thrombocytopenia Improves Diagnostic Accuracy
- POC Hemostasis System Could Help Prevent Maternal Deaths
- New Test Assesses Oxygen Delivering Ability of Red Blood Cells by Measuring Their Shape
- Personalized CBC Testing Could Help Diagnose Early-Stage Diseases in Healthy Individuals
- Non-Invasive Test Solution Determines Fetal RhD Status from Maternal Plasma
- First-Of-Its-Kind Smartphone Technology Noninvasively Measures Blood Hemoglobin Levels at POC
- Next Gen CBC and Sepsis Diagnostic System Targets Faster, Earlier, Easier Results
- Newly Discovered Blood Group System to Help Identify and Treat Rare Patients
- Blood Platelet Score Detects Previously Unmeasured Risk of Heart Attack and Stroke
- Automated Benchtop System to Bring Blood Testing To Anyone, Anywhere
- New Hematology Analyzers Deliver Combined ESR and CBC/DIFF Results in 60 Seconds
- Next Generation Instrument Screens for Hemoglobin Disorders in Newborns
Channels
Clinical Chemistry
view channel
‘Brilliantly Luminous’ Nanoscale Chemical Tool to Improve Disease Detection
Thousands of commercially available glowing molecules known as fluorophores are commonly used in medical imaging, disease detection, biomarker tagging, and chemical analysis. They are also integral in... Read more
Low-Cost Portable Screening Test to Transform Kidney Disease Detection
Millions of individuals suffer from kidney disease, which often remains undiagnosed until it has reached a critical stage. This silent epidemic not only diminishes the quality of life for those affected... Read more
New Method Uses Pulsed Infrared Light to Find Cancer's 'Fingerprints' In Blood Plasma
Cancer diagnoses have traditionally relied on invasive or time-consuming procedures like tissue biopsies. Now, new research published in ACS Central Science introduces a method that utilizes pulsed infrared... Read moreMolecular Diagnostics
view channel
Simple Blood Test Improves Heart Attack and Stroke Risk Prediction
Troponin is a protein found in heart muscle cells that is released into the bloodstream when the heart is damaged. High-sensitivity troponin blood tests are commonly used in hospitals to diagnose heart... Read more
Blood Biomarker Test Could Detect Genetic Predisposition to Alzheimer’s
New medications for Alzheimer’s disease, the most common form of dementia, are now becoming available. These treatments, known as “amyloid antibodies,” work by promoting the removal of small deposits from... Read more
Novel Autoantibody Against DAGLA Discovered in Cerebellitis
Autoimmune cerebellar ataxias are strongly disabling disorders characterized by an impaired ability to coordinate muscle movement. Cerebellar autoantibodies serve as useful biomarkers to support rapid... Read more
Gene-Based Blood Test Accurately Predicts Tumor Recurrence of Advanced Skin Cancer
Melanoma, an aggressive form of skin cancer, becomes extremely difficult to treat once it spreads to other parts of the body. For patients with metastatic melanoma tumors that cannot be surgically removed... Read moreImmunology
view channel
Stem Cell Test Predicts Treatment Outcome for Patients with Platinum-Resistant Ovarian Cancer
Epithelial ovarian cancer frequently responds to chemotherapy initially, but eventually, the tumor develops resistance to the therapy, leading to regrowth. This resistance is partially due to the activation... Read more
Machine Learning-Enabled Blood Test Predicts Immunotherapy Response in Lymphoma Patients
Chimeric antigen receptor (CAR) T-cell therapy has emerged as one of the most promising recent developments in the treatment of blood cancers. However, over half of non-Hodgkin lymphoma (NHL) patients... Read moreMicrobiology
view channel
Handheld Device Delivers Low-Cost TB Results in Less Than One Hour
Tuberculosis (TB) remains the deadliest infectious disease globally, affecting an estimated 10 million people annually. In 2021, about 4.2 million TB cases went undiagnosed or unreported, mainly due to... Read more
New AI-Based Method Improves Diagnosis of Drug-Resistant Infections
Drug-resistant infections, particularly those caused by deadly bacteria like tuberculosis and staphylococcus, are rapidly emerging as a global health emergency. These infections are more difficult to treat,... Read more
Breakthrough Diagnostic Technology Identifies Bacterial Infections with Almost 100% Accuracy within Three Hours
Rapid and precise identification of pathogenic microbes in patient samples is essential for the effective treatment of acute infectious diseases, such as sepsis. The fluorescence in situ hybridization... Read morePathology
view channel
Spit Test More Accurate at Identifying Future Prostate Cancer Risk
Currently, blood tests that measure the level of a protein called prostate-specific antigen (PSA) are commonly used to identify men at higher risk for prostate cancer. This test is typically used based... Read more
DNA Nanotechnology Boosts Sensitivity of Test Strips
Since the Covid-19 pandemic, most people have become familiar with paper-based rapid test strips, also known as lateral flow immunoassays (LFIAs). These tests are used to quickly detect biomarkers that... Read more
Novel UV and Machine Learning-Aided Method Detects Microbial Contamination in Cell Cultures
Cell therapy holds great potential in treating diseases such as cancers, inflammatory conditions, and chronic degenerative disorders by manipulating or replacing cells to restore function or combat disease.... Read moreTechnology
view channel
Disposable Microchip Technology Could Selectively Detect HIV in Whole Blood Samples
As of the end of 2023, approximately 40 million people globally were living with HIV, and around 630,000 individuals died from AIDS-related illnesses that same year. Despite a substantial decline in deaths... Read more
Pain-On-A-Chip Microfluidic Device Determines Types of Chronic Pain from Blood Samples
Chronic pain is a widespread condition that remains difficult to manage, and existing clinical methods for its treatment rely largely on self-reporting, which can be subjective and especially problematic... Read more
Innovative, Label-Free Ratiometric Fluorosensor Enables More Sensitive Viral RNA Detection
Viruses present a major global health risk, as demonstrated by recent pandemics, making early detection and identification essential for preventing new outbreaks. While traditional detection methods are... Read moreIndustry
view channel
Cepheid and Oxford Nanopore Technologies Partner on Advancing Automated Sequencing-Based Solutions
Cepheid (Sunnyvale, CA, USA), a leading molecular diagnostics company, and Oxford Nanopore Technologies (Oxford, UK), the company behind a new generation of sequencing-based molecular analysis technologies,... Read more
Grifols and Tecan’s IBL Collaborate on Advanced Biomarker Panels
Grifols (Barcelona, Spain), one of the world’s leading producers of plasma-derived medicines and innovative diagnostic solutions, is expanding its offer in clinical diagnostics through a strategic partnership... Read more