New Metabolic PET Tracer Can Help Find Brain Tumors and Improve Cancer Therapy Outcomes
By MedImaging International staff writers Posted on 04 Nov 2015 |
Researchers at the Stanford School of Medicine (Stanford, MD, USA) have found a new way to visualize brain tumor tissue using Positron Emission Tomography (PET) imaging.
Cancer cells divide rapidly, and require large stores of molecular building block to divide and grow. The Stanford team used this property of cancer cells, and developed a molecular tracer to track the activity of a key regulatory protein called pyruvate kinase M2 (PKM2) that helps control the metabolism of tumor cells. The tracer enabled the researchers to track the precise location of cancer cells in the brain. According to the researchers, the tracer could also help provide feedback about how a tumor is responding to therapy.
Pyruvate kinase is a key regulator in the cellular process of metabolizing energy sources such as glucose. Cells can either convert energy into the co-enzyme Adenosine Triphosphate (ATP), or use the energy to generate amino acids and other cellular building blocks. When pyruvate kinase exists as a dimer, a complex of two pyruvate kinase molecules, it favors the accumulation of amino acids. When the protein exists as four molecules bound together the cell generates more ATP. Cancer cells have higher levels of the dimer, and DASA molecules bind to the dimer. The researchers labeled DASA-23 molecules with a radioactive carbon molecule, and used PET scans observed how the DASA-23 molecules found, and bound to human glioblastoma cells, implanted in the brains of mice. The technique was able to highlight the brain cancer cells clearly among the normal, non-cancerous cells. The researchers expect the new [11C]DASA-23 tracer to be approved by the US Food and Drug Administration (FDA) for use in humans by Fall 2016.
Sanjiv Sam Gambhir, MD, PhD, director Molecular Imaging at Stanford, senior author of the research, said, “Tumor cells do all kinds of things to survive and prosper in the body. One of the key things they modify is a master switch that controls cell metabolism and allows the cell to make more of the building blocks necessary for cell division. But until now we’ve had no way to assess the presence or activity levels of the PKM2 protein involved in that switch. This is the first time we can noninvasively interrogate the biochemistry of a tumor with respect to this master switch PKM2. If we treat a tumor with a drug, we now see whether the cancer cells’ metabolic properties are changing. So we could know very quickly, possibly within a few days, whether the therapeutic approach is working. This new molecule, or tracer, works particularly well in the brain because normal brain cells have very low levels of PKM2 dimers. It’s possible, though, that this tracer could also be used in cancers in other tissues like the prostate, or to even learn more about how normal tissues adjust their metabolism during development or in response to varied environmental conditions.”
Related Links:
Stanford School of Medicine
Cancer cells divide rapidly, and require large stores of molecular building block to divide and grow. The Stanford team used this property of cancer cells, and developed a molecular tracer to track the activity of a key regulatory protein called pyruvate kinase M2 (PKM2) that helps control the metabolism of tumor cells. The tracer enabled the researchers to track the precise location of cancer cells in the brain. According to the researchers, the tracer could also help provide feedback about how a tumor is responding to therapy.
Pyruvate kinase is a key regulator in the cellular process of metabolizing energy sources such as glucose. Cells can either convert energy into the co-enzyme Adenosine Triphosphate (ATP), or use the energy to generate amino acids and other cellular building blocks. When pyruvate kinase exists as a dimer, a complex of two pyruvate kinase molecules, it favors the accumulation of amino acids. When the protein exists as four molecules bound together the cell generates more ATP. Cancer cells have higher levels of the dimer, and DASA molecules bind to the dimer. The researchers labeled DASA-23 molecules with a radioactive carbon molecule, and used PET scans observed how the DASA-23 molecules found, and bound to human glioblastoma cells, implanted in the brains of mice. The technique was able to highlight the brain cancer cells clearly among the normal, non-cancerous cells. The researchers expect the new [11C]DASA-23 tracer to be approved by the US Food and Drug Administration (FDA) for use in humans by Fall 2016.
Sanjiv Sam Gambhir, MD, PhD, director Molecular Imaging at Stanford, senior author of the research, said, “Tumor cells do all kinds of things to survive and prosper in the body. One of the key things they modify is a master switch that controls cell metabolism and allows the cell to make more of the building blocks necessary for cell division. But until now we’ve had no way to assess the presence or activity levels of the PKM2 protein involved in that switch. This is the first time we can noninvasively interrogate the biochemistry of a tumor with respect to this master switch PKM2. If we treat a tumor with a drug, we now see whether the cancer cells’ metabolic properties are changing. So we could know very quickly, possibly within a few days, whether the therapeutic approach is working. This new molecule, or tracer, works particularly well in the brain because normal brain cells have very low levels of PKM2 dimers. It’s possible, though, that this tracer could also be used in cancers in other tissues like the prostate, or to even learn more about how normal tissues adjust their metabolism during development or in response to varied environmental conditions.”
Related Links:
Stanford School of Medicine
Latest Nuclear Medicine News
- Novel PET Imaging Approach Offers Never-Before-Seen View of Neuroinflammation
- Novel Radiotracer Identifies Biomarker for Triple-Negative Breast Cancer
- Innovative PET Imaging Technique to Help Diagnose Neurodegeneration
- New Molecular Imaging Test to Improve Lung Cancer Diagnosis
- Novel PET Technique Visualizes Spinal Cord Injuries to Predict Recovery
- Next-Gen Tau Radiotracers Outperform FDA-Approved Imaging Agents in Detecting Alzheimer’s
- Breakthrough Method Detects Inflammation in Body Using PET Imaging
- Advanced Imaging Reveals Hidden Metastases in High-Risk Prostate Cancer Patients
- Combining Advanced Imaging Technologies Offers Breakthrough in Glioblastoma Treatment
- New Molecular Imaging Agent Accurately Identifies Crucial Cancer Biomarker
- New Scans Light Up Aggressive Tumors for Better Treatment
- AI Stroke Brain Scan Readings Twice as Accurate as Current Method
- AI Analysis of PET/CT Images Predicts Side Effects of Immunotherapy in Lung Cancer
- New Imaging Agent to Drive Step-Change for Brain Cancer Imaging
- Portable PET Scanner to Detect Earliest Stages of Alzheimer’s Disease
- New Immuno-PET Imaging Technique Identifies Glioblastoma Patients Who Would Benefit from Immunotherapy
Channels
Radiography
view channel
World's Largest Class Single Crystal Diamond Radiation Detector Opens New Possibilities for Diagnostic Imaging
Diamonds possess ideal physical properties for radiation detection, such as exceptional thermal and chemical stability along with a quick response time. Made of carbon with an atomic number of six, diamonds... Read more
AI-Powered Imaging Technique Shows Promise in Evaluating Patients for PCI
Percutaneous coronary intervention (PCI), also known as coronary angioplasty, is a minimally invasive procedure where small metal tubes called stents are inserted into partially blocked coronary arteries... Read moreMRI
view channel
AI Tool Tracks Effectiveness of Multiple Sclerosis Treatments Using Brain MRI Scans
Multiple sclerosis (MS) is a condition in which the immune system attacks the brain and spinal cord, leading to impairments in movement, sensation, and cognition. Magnetic Resonance Imaging (MRI) markers... Read more
Ultra-Powerful MRI Scans Enable Life-Changing Surgery in Treatment-Resistant Epileptic Patients
Approximately 360,000 individuals in the UK suffer from focal epilepsy, a condition in which seizures spread from one part of the brain. Around a third of these patients experience persistent seizures... Read more
AI-Powered MRI Technology Improves Parkinson’s Diagnoses
Current research shows that the accuracy of diagnosing Parkinson’s disease typically ranges from 55% to 78% within the first five years of assessment. This is partly due to the similarities shared by Parkinson’s... Read more
Biparametric MRI Combined with AI Enhances Detection of Clinically Significant Prostate Cancer
Artificial intelligence (AI) technologies are transforming the way medical images are analyzed, offering unprecedented capabilities in quantitatively extracting features that go beyond traditional visual... Read moreUltrasound
view channel
AI Identifies Heart Valve Disease from Common Imaging Test
Tricuspid regurgitation is a condition where the heart's tricuspid valve does not close completely during contraction, leading to backward blood flow, which can result in heart failure. A new artificial... Read more
Novel Imaging Method Enables Early Diagnosis and Treatment Monitoring of Type 2 Diabetes
Type 2 diabetes is recognized as an autoimmune inflammatory disease, where chronic inflammation leads to alterations in pancreatic islet microvasculature, a key factor in β-cell dysfunction.... Read moreGeneral/Advanced Imaging
view channel
AI-Powered Imaging System Improves Lung Cancer Diagnosis
Given the need to detect lung cancer at earlier stages, there is an increasing need for a definitive diagnostic pathway for patients with suspicious pulmonary nodules. However, obtaining tissue samples... Read more
AI Model Significantly Enhances Low-Dose CT Capabilities
Lung cancer remains one of the most challenging diseases, making early diagnosis vital for effective treatment. Fortunately, advancements in artificial intelligence (AI) are revolutionizing lung cancer... Read moreImaging IT
view channel
New Google Cloud Medical Imaging Suite Makes Imaging Healthcare Data More Accessible
Medical imaging is a critical tool used to diagnose patients, and there are billions of medical images scanned globally each year. Imaging data accounts for about 90% of all healthcare data1 and, until... Read more
Global AI in Medical Diagnostics Market to Be Driven by Demand for Image Recognition in Radiology
The global artificial intelligence (AI) in medical diagnostics market is expanding with early disease detection being one of its key applications and image recognition becoming a compelling consumer proposition... Read moreIndustry News
view channel
GE HealthCare and NVIDIA Collaboration to Reimagine Diagnostic Imaging
GE HealthCare (Chicago, IL, USA) has entered into a collaboration with NVIDIA (Santa Clara, CA, USA), expanding the existing relationship between the two companies to focus on pioneering innovation in... Read more
Patient-Specific 3D-Printed Phantoms Transform CT Imaging
New research has highlighted how anatomically precise, patient-specific 3D-printed phantoms are proving to be scalable, cost-effective, and efficient tools in the development of new CT scan algorithms... Read more
Siemens and Sectra Collaborate on Enhancing Radiology Workflows
Siemens Healthineers (Forchheim, Germany) and Sectra (Linköping, Sweden) have entered into a collaboration aimed at enhancing radiologists' diagnostic capabilities and, in turn, improving patient care... Read more