Brain Tumor Chemotherapy Biomarkers Identified
|
By LabMedica International staff writers Posted on 24 Jul 2014 |

Image: Glioblastoma multiforme (GBM) (Photo courtesy of the University of California, San Diego School of Medicine).
Cancer researchers have identified a new biomarker that they believe can predict whether glioblastoma multiformes (GBMs), the most common and aggressive type of malignant brain tumor, will be susceptible to chemotherapy.
Previous work had shown that the activity of the enzyme 6-methylguanine DNA methyltransferase (MGMT) was a critical determinant of how GBM cells would respond to the chemotherapeutic drug temozolomide (TMZ).
The therapeutic benefit of TMZ depends on its ability to alkylate/methylate DNA, which most often occurs at the N-7 or O-6 positions of guanine residues. This methylation damages the DNA and triggers the death of tumor cells. However, some tumor cells are able to repair this type of DNA damage, and therefore diminish the therapeutic efficacy of TMZ, by expressing the protein O6-alkylguanine DNA alkyltransferase (AGT) encoded in humans by the O-6-methylguanine-DNA methyltransferase (MGMT) gene. In some tumors, epigenetic silencing of the MGMT gene prevents the synthesis of this enzyme, and as a consequence such tumors are more sensitive to killing by TMZ. Conversely, the presence of AGT protein in brain tumors predicts poor response to TMZ and these patients receive little benefit from chemotherapy with this drug.
Investigators at the University of California, San Diego School of Medicine (USA) had already found that MGMT was partially regulated by the microRNA (miRNA) miR-181d and other miRNAs. In the current study they sought to identify these other MGMT regulatory miRNAs and to determine whether any one in particular was the key regulator.
Towards this end, they performed a genome-wide screen to identify MGMT regulating miRNAs. Candidate miRNAs were further tested for inverse correlation with MGMT expression in clinical specimens.
The investigators identified 15 candidate miRNAs and characterized the top candidate, miR-603. They found that transfection of miR-603 suppressed MGMT mRNA/protein expression in vitro and in vivo; this effect was reversed by transfection with an antibody specific for miR-603. MiR-603 transfection enhanced the TMZ sensitivity of MGMT-expressing glioblastoma cell lines. Importantly, miR-603 mediated MGMT suppression and TMZ resistance were reversed by expression of an MGMT cDNA. In a collection of 74 clinical glioblastoma specimens, both miR-603 and miR-181d levels inversely correlated with MGMT expression. Moreover, a combined index of the two miRNAs better reflected MGMT expression than each individually.
“Every patient diagnosed with glioblastoma is treated with a chemotherapy called temozolomide. About 15% of these patients derive long-lasting benefit,” said senior author Dr. Clark C. Chen, professor of neurosurgery at the University of California, San Diego School of Medicine. “We need to identify which patients benefit from temozolomide and which another type of treatment. All therapies involve risk and the possibility of side-effects. Patients should not undergo therapies if there is no likelihood of benefit. We showed that a signature of the MGMT-regulating microRNAs predicted temozolomide response in a cohort of glioblastoma patients. Validation of these results should lead to diagnostic tools to enable us to determine which patients will benefit most from temozolomide therapy.”
The study was published in the June 30, 2014, issue of the journal Oncotarget.
Related Links:
University of California, San Diego School of Medicine
Previous work had shown that the activity of the enzyme 6-methylguanine DNA methyltransferase (MGMT) was a critical determinant of how GBM cells would respond to the chemotherapeutic drug temozolomide (TMZ).
The therapeutic benefit of TMZ depends on its ability to alkylate/methylate DNA, which most often occurs at the N-7 or O-6 positions of guanine residues. This methylation damages the DNA and triggers the death of tumor cells. However, some tumor cells are able to repair this type of DNA damage, and therefore diminish the therapeutic efficacy of TMZ, by expressing the protein O6-alkylguanine DNA alkyltransferase (AGT) encoded in humans by the O-6-methylguanine-DNA methyltransferase (MGMT) gene. In some tumors, epigenetic silencing of the MGMT gene prevents the synthesis of this enzyme, and as a consequence such tumors are more sensitive to killing by TMZ. Conversely, the presence of AGT protein in brain tumors predicts poor response to TMZ and these patients receive little benefit from chemotherapy with this drug.
Investigators at the University of California, San Diego School of Medicine (USA) had already found that MGMT was partially regulated by the microRNA (miRNA) miR-181d and other miRNAs. In the current study they sought to identify these other MGMT regulatory miRNAs and to determine whether any one in particular was the key regulator.
Towards this end, they performed a genome-wide screen to identify MGMT regulating miRNAs. Candidate miRNAs were further tested for inverse correlation with MGMT expression in clinical specimens.
The investigators identified 15 candidate miRNAs and characterized the top candidate, miR-603. They found that transfection of miR-603 suppressed MGMT mRNA/protein expression in vitro and in vivo; this effect was reversed by transfection with an antibody specific for miR-603. MiR-603 transfection enhanced the TMZ sensitivity of MGMT-expressing glioblastoma cell lines. Importantly, miR-603 mediated MGMT suppression and TMZ resistance were reversed by expression of an MGMT cDNA. In a collection of 74 clinical glioblastoma specimens, both miR-603 and miR-181d levels inversely correlated with MGMT expression. Moreover, a combined index of the two miRNAs better reflected MGMT expression than each individually.
“Every patient diagnosed with glioblastoma is treated with a chemotherapy called temozolomide. About 15% of these patients derive long-lasting benefit,” said senior author Dr. Clark C. Chen, professor of neurosurgery at the University of California, San Diego School of Medicine. “We need to identify which patients benefit from temozolomide and which another type of treatment. All therapies involve risk and the possibility of side-effects. Patients should not undergo therapies if there is no likelihood of benefit. We showed that a signature of the MGMT-regulating microRNAs predicted temozolomide response in a cohort of glioblastoma patients. Validation of these results should lead to diagnostic tools to enable us to determine which patients will benefit most from temozolomide therapy.”
The study was published in the June 30, 2014, issue of the journal Oncotarget.
Related Links:
University of California, San Diego School of Medicine
Latest Pathology News
- Rapid Low-Cost Tests Can Prevent Child Deaths from Contaminated Medicinal Syrups
- Tumor Signals in Saliva and Blood Enable Non-Invasive Monitoring of Head and Neck Cancer
- Common Health Issues Can Influence New Blood Tests for Alzheimer’s Disease
- Blood Test Formula Identifies Chronic Liver Disease Patients with Higher Cancer Risk
- Tunable Cell-Sorting Device Holds Potential for Multiple Biomedical Applications
- AI Tool Outperforms Doctors in Spotting Blood Cell Abnormalities
- AI Tool Rapidly Analyzes Complex Cancer Images for Personalized Treatment
- Diagnostic Technology Performs Rapid Biofluid Analysis Using Single Droplet
- Novel Technology Tracks Hidden Cancer Cells Faster
- AI Tool Improves Breast Cancer Detection
- AI Tool Predicts Treatment Success in Rectal Cancer Patients
- Blood Test and Sputum Analysis Predict Acute COPD Exacerbation
- AI Tool to Transform Skin Cancer Detection with Near-Perfect Accuracy
- Unique Immune Signatures Distinguish Rare Autoimmune Condition from Multiple Sclerosis
- Simple Optical Microscopy Method Reveals Hidden Structures in Remarkable Detail
- Hydrogel-Based Technology Isolates Extracellular Vesicles for Early Disease Diagnosis
Channels
Clinical Chemistry
view channel
POC Breath Diagnostic System to Detect Pneumonia-Causing Pathogens
Pseudomonas aeruginosa is a major cause of hospital-acquired and ventilator-associated pneumonia, particularly in lung transplant recipients and patients with structural lung disease. Its ability to form... Read more
Online Tool Detects Drug Exposure Directly from Patient Samples
Doctors often rely on patient interviews and medical records to determine what medications a person has taken, but this information is frequently incomplete. People may forget drugs they used, take over-the-counter... Read moreMolecular Diagnostics
view channel
STI Molecular Test Delivers Rapid POC Results for Treatment Guidance
An affordable, rapid molecular diagnostic for sexually transmitted infections (STIs) has the potential to be globally relevant, particularly in resource-limited settings where rapid, point-of-care results... Read more
Blood Biomarker Improves Early Brain Injury Prognosis After Cardiac Arrest
After a cardiac arrest, many patients remain unconscious for days, leaving doctors and families facing uncertainty about whether meaningful recovery is possible. Current tools to assess brain damage, including... Read more
Biomarkers Could Identify Patients at High Risk of Severe AKI After Major Surgery
Acute kidney injury is one of the most common and dangerous complications after major surgery, particularly among patients in intensive care. Even mild impairment of kidney function can lead to long-term... Read more
CLIA Test Identifies Head and Neck Cancer Recurrence from Post-Surgical Lymphatic Fluid
While the lymphatic system’s critical role in metastasis has long been recognized, routine access to patient lymph has been elusive. Now, a non-invasive process can access lymph through the collection... Read moreHematology
view channel
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 more
Platelet Activity Blood Test in Middle Age Could Identify Early Alzheimer’s Risk
Early detection of Alzheimer’s disease remains one of the biggest unmet needs in neurology, particularly because the biological changes underlying the disorder begin decades before memory symptoms appear.... Read more
Microvesicles Measurement Could Detect Vascular Injury in Sickle Cell Disease Patients
Assessing disease severity in sickle cell disease (SCD) remains challenging, especially when trying to predict hemolysis, vascular injury, and risk of complications such as vaso-occlusive crises.... Read more
ADLM’s New Coagulation Testing Guidance to Improve Care for Patients on Blood Thinners
Direct oral anticoagulants (DOACs) are one of the most common types of blood thinners. Patients take them to prevent a host of complications that could arise from blood clotting, including stroke, deep... Read moreImmunology
view channel
Blood Test Could Identify Colon Cancer Patients to Benefit from NSAIDs
Colon cancer remains a major cause of cancer-related illness, with many patients facing relapse even after surgery and chemotherapy. Up to 40% of people with stage III disease experience recurrence, highlighting... Read moreBlood Test Could Detect Adverse Immunotherapy Effects
Immune checkpoint inhibitors have transformed cancer treatment, but they can also trigger serious immune-related adverse events that damage healthy organs and may become life-threatening if not detected early.... Read moreMicrobiology
view channel
Breakthroughs in Microbial Analysis to Enhance Disease Prediction
Microorganisms shape human health, ecosystems, and the planet’s climate, yet identifying them and understanding how they are related remains a major scientific challenge. Even with modern DNA sequencing,... Read more
Blood-Based Diagnostic Method Could Identify Pediatric LRTIs
Lower-respiratory tract infections (LRTIs) are a leading cause of illness and death worldwide, and pneumonia is the leading infectious cause of death in children under five, claiming the lives of over... Read moreTechnology
view channel
Machine Learning Models Diagnose ALS Earlier Through Blood Biomarkers
Amyotrophic lateral sclerosis (ALS) is a rapidly progressive neurodegenerative disease that is notoriously difficult to diagnose in its early stages. Early symptoms often overlap with other neurological... Read more
Artificial Intelligence Model Could Accelerate Rare Disease Diagnosis
Identifying which genetic variants actually cause disease remains one of the biggest challenges in genomic medicine. Each person carries tens of thousands of DNA changes, yet only a few meaningfully alter... Read moreIndustry
view channel
BD and Penn Institute Collaborate to Advance Immunotherapy through Flow Cytometry
BD (Becton, Dickinson and Company, Franklin Lakes, NJ, USA) has entered into a strategic collaboration with the Institute for Immunology and Immune Health (I3H, Philadelphia, PA, USA) at the University... Read more






 Analyzer.jpg)

