Genetic Marker Predicts Early Relapse in Pediatric ALL
|
By LabMedica International staff writers Posted on 24 Dec 2018 |

Image: Bone marrow aspirate smear from a patient with acute lymphoblastic leukemia reveals increased blasts which are small to medium in size with high nuclear-to-cytoplasmic ratios, round to irregular nuclei, smooth chromatin, and scant basophilic agranular cytoplasm (Photo courtesy of Karen M. Chisholm MD, PhD).
Acute lymphoblastic leukemia (ALL) is the most common childhood cancer; however, treatment has improved dramatically due to the ability to stratify patients into groups based on risk factors and genetic analysis.
About 15% to 20% of ALL patients who have reached complete remission eventually relapse. ALL relapse is considered one of the major cancer-related causes of death among childhood malignancies. Relapse can occur even in patients with favorable prognostic factors at diagnosis.
Scientists at the Nova Southeastern University (Fort Lauderdale, FL, USA) and their associates discovered that by testing the level of nucleotide excision repair (NER) gene expression, pediatric oncologists can determine the likelihood of early relapse (less than three years) in their acute lymphoblastic leukemia (ALL) patients. This study included two matched diagnosis-relapse paired gene expression datasets of pediatric ALL. The Staal dataset included 41 patients diagnosed with both precursor-B-ALL (n = 27) and T-ALL (n = 14) and treated. The Hogan dataset included 49 treated patients with precursor-B-ALL.
The Affymetrix Human Genome U133 plus 2 array was used to generate both datasets. Data on 51 probes representing 20 NER canonical genes were extracted. Expression data on multiple probes for a single gene were averaged. The expression of the canonical 20 NER genes was examined in matched pediatric samples at the time of diagnosis and relapse of only precursor-B-ALL patients from both datasets. The team classified patients based on the time of recurrence as either early (less than 36 months) or late (equal to or more than 36 month) relapsers, regardless of other prognostic variables.
The scientists reported that gene expression of the NER pathway was significantly increased upon relapse in patients that took three years or greater to relapse, whereas no such change was evident in patients that relapsed in less than three years. Moreover, at diagnosis, the NER gene expression of the early relapsing subpopulation was already significantly elevated over that of the late relapsing group. This pattern was validated by an ‘NER score’ established by averaging the relative expression of the 20 canonical NER genes. The NER score at diagnosis was found to be significantly associated with disease-free survival in precursor-B-ALL.
Jean Latimer, PhD, an associate professor and oncology scientist, said, “Our study found a correlation between high NER expression levels and early relapses of ALL among relapsing patients. Being able to identify patients with the highest risk of early recurrence who are not detectable using present clinical measures and then treating them with a more targeted therapy is crucial to overcoming the cancer.” The study was published on October 30, 2018, in the journal BMC Medical Genomics.
Related Links:
Nova Southeastern University
About 15% to 20% of ALL patients who have reached complete remission eventually relapse. ALL relapse is considered one of the major cancer-related causes of death among childhood malignancies. Relapse can occur even in patients with favorable prognostic factors at diagnosis.
Scientists at the Nova Southeastern University (Fort Lauderdale, FL, USA) and their associates discovered that by testing the level of nucleotide excision repair (NER) gene expression, pediatric oncologists can determine the likelihood of early relapse (less than three years) in their acute lymphoblastic leukemia (ALL) patients. This study included two matched diagnosis-relapse paired gene expression datasets of pediatric ALL. The Staal dataset included 41 patients diagnosed with both precursor-B-ALL (n = 27) and T-ALL (n = 14) and treated. The Hogan dataset included 49 treated patients with precursor-B-ALL.
The Affymetrix Human Genome U133 plus 2 array was used to generate both datasets. Data on 51 probes representing 20 NER canonical genes were extracted. Expression data on multiple probes for a single gene were averaged. The expression of the canonical 20 NER genes was examined in matched pediatric samples at the time of diagnosis and relapse of only precursor-B-ALL patients from both datasets. The team classified patients based on the time of recurrence as either early (less than 36 months) or late (equal to or more than 36 month) relapsers, regardless of other prognostic variables.
The scientists reported that gene expression of the NER pathway was significantly increased upon relapse in patients that took three years or greater to relapse, whereas no such change was evident in patients that relapsed in less than three years. Moreover, at diagnosis, the NER gene expression of the early relapsing subpopulation was already significantly elevated over that of the late relapsing group. This pattern was validated by an ‘NER score’ established by averaging the relative expression of the 20 canonical NER genes. The NER score at diagnosis was found to be significantly associated with disease-free survival in precursor-B-ALL.
Jean Latimer, PhD, an associate professor and oncology scientist, said, “Our study found a correlation between high NER expression levels and early relapses of ALL among relapsing patients. Being able to identify patients with the highest risk of early recurrence who are not detectable using present clinical measures and then treating them with a more targeted therapy is crucial to overcoming the cancer.” The study was published on October 30, 2018, in the journal BMC Medical Genomics.
Related Links:
Nova Southeastern University
Latest Hematology News
- Blood Test Helps Predict Short-Term Mortality After Severe Heart Attack
- Next-Generation Hematology Platform Streamlines High-Complexity Lab Workflows
- Blood Eosinophil Count May Predict Cancer Immunotherapy Response and Toxicity
- Higher Ferritin Threshold May Improve Iron Deficiency Detection in Children
- Stem Cell Biomarkers May Guide Precision Treatment in Acute Myeloid Leukemia
- Advanced CBC-Derived Indices Integrated into Hematology Platforms
- Blood Test Enables Early Detection of Multiple Myeloma Relapse
- Single Assay Enables Rapid HLA and ABO Genotyping for Transplant Matching
- Prognostic Biomarker Identified in Diffuse Large B-Cell Lymphoma
- Routine Blood Test Parameters Link Anemia to Cancer Risk and Mortality
- Prognostic Tool Guides Personalized Treatment in Rare Blood Cancer
- New Platelet Function Assay Enables Monitoring of Antiplatelet Therapy
- Open Multi-Omics Platform Identifies Prognostic Subtypes in Blood Cancers
- AI-Powered Digital Workflow Standardizes Bone Marrow Aspirate Morphology
- Rapid Cartridge-Based Test Aims to Expand Access to Hemoglobin Disorder Diagnosis
- New Guidelines Aim to Improve AL Amyloidosis Diagnosis
Channels
Clinical Chemistry
view channel
Alzheimer’s Biomarkers Identify Faster Cognitive Decline in Adults Over 80
Diagnosing the cause of cognitive decline in adults over 80 is challenging because multiple comorbidities can blur early clinical presentations. As a result, memory complaints are often attributed to normal... Read more
ADLM Issues Laboratory Guidance for Gender-Diverse Patient Care
Laboratory medicine increasingly intersects with gender-affirming care, where hormone therapy and rigid health record fields can complicate the interpretation of routine tests. Without appropriate clinical... Read moreHematology
view channel
Blood Test Helps Predict Short-Term Mortality After Severe Heart Attack
ST-elevation myocardial infarction (STEMI) is a severe heart attack caused by complete blockage of a coronary artery. Early risk stratification at hospital admission is challenging but essential for guiding... Read more
Next-Generation Hematology Platform Streamlines High-Complexity Lab Workflows
Sysmex America (Chicago, IL, USA) has introduced the next generation XR-Series, centered on the XR-10 Automated Hematology Module for high-complexity laboratories. The platform builds on the widely used... Read moreImmunology
view channel
Anti-Lipid Antibody Biomarkers May Identify Early Lyme Disease and Persistent Symptoms
Lyme disease is often missed during its earliest and most treatable stage, while current serologic assays cannot distinguish active infection from prior exposure. Nearly half a million Americans are diagnosed... Read more
Emergency Department Opt-Out Testing Program Identifies Undiagnosed HIV
Undiagnosed HIV continues to drive avoidable morbidity and transmission, with many people identified only after substantial immune damage has occurred. In England, about one in 20 people living with HIV... Read more
Immune Biomarkers Could Identify Risk of Chronic Critical Illness on ICU Admission
Severe traumatic injury can trigger immune and organ dysfunction that complicates recovery in the intensive care unit. A subset of patients develop chronic critical illness, defined as dependence on intensive... Read moreMicrobiology
view channel
Rapid Gastrointestinal PCR Panels Deliver One-Hour Results
Acute infectious gastroenteritis remains a major cause of illness worldwide, especially in young children, older adults, and immunocompromised patients. Nonspecific symptoms such as diarrhea, vomiting,... Read more
H. pylori Screening Within Colorectal Program Aids Gastric Cancer Prevention
Health systems increasingly rely on economic evidence to guide cancer prevention strategies. For gastric cancer, selecting screening approaches that can integrate with existing programs is a key policy question.... Read more
Machine Learning Reveals Consistent Gut Microbiome Patterns in Colorectal Cancer
Colorectal cancer has been repeatedly linked to alterations in the gut microbiome, yet findings have often varied across small, heterogeneous studies. Reproducibility has been limited by differing sequencing... Read morePathology
view channel
AI Pathology Tool Predicts Immunotherapy Response in Rare Cancers
Immunotherapy has transformed care for select malignancies, yet predicting which patients with rare cancers are most likely to benefit remains challenging. Clinicians often have only limited biomarkers... Read more
Uncertainty-Aware AI Tool Improves Digital Pathology for Cancer Subtyping
Reliable histologic subtyping guides therapy selection in oncology, yet diagnostic workflows grow more complex as whole-slide imaging and artificial intelligence (AI) expand. A persistent obstacle to clinical... Read moreTechnology
view channel
National Rare Disease Registry Standardizes Genetic and Clinical Data for Coordinated Care
Rare diseases collectively impose a significant clinical burden despite their individual rarity, often involving multisystem presentations and prolonged diagnostic journeys. Limited specialist expertise... Read more
AI Platform Links Biomarker Results to Cancer Clinical Trials and Guidelines
Oncology teams must manage growing volumes of genomic data, rapidly evolving clinical trial options, and frequently updated care guidelines, all within tight clinic schedules. Translating complex tumor... Read moreIndustry
view channel
Eurobio Scientific Completes Acquisition of CareDx Lab Products Division
Eurobio Scientific has closed the acquisition of CareDx AB in Sweden and its fully owned subsidiaries in the United States and Australia that constitute CareDx’s Lab Products division. The business will... Read more
Blood-Based CRISPR Test for Tuberculosis Gains Regulatory Approval in Colombia
Colombia remains a high-priority setting for tuberculosis, with a growing need for diagnostics that complement existing testing strategies and improve access to earlier diagnosis. Solutions that function... Read more




.jpg)



