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
- AI Algorithm Effectively Distinguishes Alpha Thalassemia Subtypes
- MRD Tests Could Predict Survival in Leukemia Patients
- Platelet Activity Blood Test in Middle Age Could Identify Early Alzheimer’s Risk
- Microvesicles Measurement Could Detect Vascular Injury in Sickle Cell Disease Patients
- ADLM’s New Coagulation Testing Guidance to Improve Care for Patients on Blood Thinners
- Viscoelastic Testing Could Improve Treatment of Maternal Hemorrhage
- Pioneering Model Measures Radiation Exposure in Blood for Precise Cancer Treatments
- Platelets Could Improve Early and Minimally Invasive Detection of Cancer
- Portable and Disposable Device Obtains Platelet-Rich Plasma Without Complex Equipment
- Disposable Cartridge-Based Test Delivers Rapid and Accurate CBC Results
- First Point-of-Care Heparin Monitoring Test Provides Results in Under 15 Minutes

- 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
Channels
Clinical Chemistry
view channel
Blood Test Could Predict and Identify Early Relapses in Myeloma Patients
Multiple myeloma is an incurable cancer of the bone marrow, and while many patients now live for more than a decade after diagnosis, a significant proportion relapse much earlier with poor outcomes.... Read more
Compact Raman Imaging System Detects Subtle Tumor Signals
Accurate cancer diagnosis often depends on labor-intensive tissue staining and expert pathological review, which can delay results and limit access to rapid screening. These conventional methods also make... Read moreHematology
view channel
AI Algorithm Effectively Distinguishes Alpha Thalassemia Subtypes
Alpha thalassemia affects millions of people worldwide and is especially common in regions such as Southeast Asia, where carrier rates can reach extremely high levels. While the condition can have significant... Read more
MRD Tests Could Predict Survival in Leukemia Patients
Acute myeloid leukemia is an aggressive blood cancer that disrupts normal blood cell production and often relapses even after intensive treatment. Clinicians currently lack early, reliable markers to predict... Read moreImmunology
view channel
Whole-Genome Sequencing Approach Identifies Cancer Patients Benefitting From PARP-Inhibitor Treatment
Targeted cancer therapies such as PARP inhibitors can be highly effective, but only for patients whose tumors carry specific DNA repair defects. Identifying these patients accurately remains challenging,... Read more
Ultrasensitive Liquid Biopsy Demonstrates Efficacy in Predicting Immunotherapy Response
Immunotherapy has transformed cancer treatment, but only a small proportion of patients experience lasting benefit, with response rates often remaining between 10% and 20%. Clinicians currently lack reliable... Read moreMicrobiology
view channel
New Test Measures How Effectively Antibiotics Kill Bacteria
Antibiotics are typically evaluated by how well they inhibit bacterial growth in laboratory tests, but growth inhibition does not always mean the bacteria are actually killed. Some pathogens can survive... Read more
New Antimicrobial Stewardship Standards for TB Care to Optimize Diagnostics
Antibiotic resistance is rising worldwide, threatening the effectiveness of treatments for major infectious diseases, including tuberculosis (TB). Resistance to key TB drugs, such as bedaquiline, is of... Read morePathology
view channel
Intraoperative Tumor Histology to Improve Cancer Surgeries
Surgical removal of cancer remains the first-line treatment for many tumors, but ensuring that all cancerous tissue is removed while preserving healthy tissue is a major challenge. Surgeons currently rely... Read more
Rapid Stool Test Could Help Pinpoint IBD Diagnosis
Inflammatory bowel disease (IBD) is a chronic condition in which the immune system mistakenly attacks the digestive tract, causing persistent gut inflammation. Diagnosis and disease monitoring often depend... Read more
AI-Powered Label-Free Optical Imaging Accurately Identifies Thyroid Cancer During Surgery
Thyroid cancer is the most common endocrine cancer, and its rising detection rates have increased the number of patients undergoing surgery. During tumor removal, surgeons often face uncertainty in distinguishing... Read moreTechnology
view channelAptamer Biosensor Technology to Transform Virus Detection
Rapid and reliable virus detection is essential for controlling outbreaks, from seasonal influenza to global pandemics such as COVID-19. Conventional diagnostic methods, including cell culture, antigen... Read more
AI Models Could Predict Pre-Eclampsia and Anemia Earlier Using Routine Blood Tests
Pre-eclampsia and anemia are major contributors to maternal and child mortality worldwide, together accounting for more than half a million deaths each year and leaving millions with long-term health complications.... Read moreIndustry
view channel
WHX Labs Dubai to Gather Global Experts in Antimicrobial Resistance at Inaugural AMR Leaders’ Summit
World Health Expo (WHX) Labs in Dubai (formerly Medlab Middle East), which will be held at Dubai World Trade Centre from 10-13 February, will address the growing global threat of antimicrobial resistance... Read more






 Analyzer.jpg)
