Major Development Could Further Advance Personalized Cancer Therapy
|
By LabMedica International staff writers Posted on 19 Jan 2010 |
Scientists are gaining ground on exploiting new technologies to customize an individual's cancer therapy based on their genetic makeup.
Researchers from Georgetown Lombardi Comprehensive Cancer Center (Washington DC, USA) reported a significant advance in this field of research using a new chip that hunts for hundreds of mutations in dozen of genes.
The goal of personalized medicine is to determine the best treatment and the optimal dose carrying the fewest side effects, particularly as new drugs are discovered and treatment options increase. Variations in an individual's genes encode proteins, which affect how a drug is metabolized or taken in by the cells. This directly influences the drug's effectiveness and the kinds of side effects that may be caused by its toxicity.
"Currently, available genotyping tools test only a few genes at a time,” explained Dr. John F. Deeken, a pharmacogentic researcher at Lombardi. "With a new chip called DMET, as many as 170 genes can be examined for more than a thousand variations. This type of turnkey testing, if validated, could eventually replace highly specialized, time-consuming, and labor-intensive testing--thus allowing more institutes the opportunity to pursue genotyping and pharmocogenetic research. That alone would be a significant development for our field and for expediting the research many of us believe is the future of medicine.”
Such a development is especially critical for cancer research, both in terms of drug discovery and treatment. Genetic variability among patients in cancer clinical trials is not typically taken into account, a factor that could skew dosage amounts and doom an otherwise promising new drug. A simpler and faster test could be readily integrated into treatment trials.
In his article published online December 29, 2009, in The Pharmacogenomics Journal, Dr. Deeken and colleagues reported results of the new genotyping platform called DMET (drug-metabolizing enzymes and transporters), developed by Affymetrix, Inc. (Santa Clara, CA, USA). The DMET "casts a wider net,” screening for 1256 genetic variations in 170 genes involved in drug absorption, distribution, metabolism, and excretion.
According to Dr. Deeken, one of the main obstacles facing pharmocogenetic researchers is the lack of a proven and relatively quick technology for genotyping. "DMET appears to offer great promise in this field as a reliable test unveiling genetic variations that correlated with drug effectiveness and toxicity,” stated Dr. Deeken. "Still, DMET isn't yet ready for primetime in terms of having received FDA [U.S. Food and Drug Administration] approval, but we're getting closer.”
Dr. Deeken serves as a consultant to Sanofi-Aventis (Bridgewater, NJ, USA), the manufacturer of docetaxel, a drug involved in the study.
Related Links:
Georgetown Lombardi Comprehensive Cancer Center
Affymetrix
Researchers from Georgetown Lombardi Comprehensive Cancer Center (Washington DC, USA) reported a significant advance in this field of research using a new chip that hunts for hundreds of mutations in dozen of genes.
The goal of personalized medicine is to determine the best treatment and the optimal dose carrying the fewest side effects, particularly as new drugs are discovered and treatment options increase. Variations in an individual's genes encode proteins, which affect how a drug is metabolized or taken in by the cells. This directly influences the drug's effectiveness and the kinds of side effects that may be caused by its toxicity.
"Currently, available genotyping tools test only a few genes at a time,” explained Dr. John F. Deeken, a pharmacogentic researcher at Lombardi. "With a new chip called DMET, as many as 170 genes can be examined for more than a thousand variations. This type of turnkey testing, if validated, could eventually replace highly specialized, time-consuming, and labor-intensive testing--thus allowing more institutes the opportunity to pursue genotyping and pharmocogenetic research. That alone would be a significant development for our field and for expediting the research many of us believe is the future of medicine.”
Such a development is especially critical for cancer research, both in terms of drug discovery and treatment. Genetic variability among patients in cancer clinical trials is not typically taken into account, a factor that could skew dosage amounts and doom an otherwise promising new drug. A simpler and faster test could be readily integrated into treatment trials.
In his article published online December 29, 2009, in The Pharmacogenomics Journal, Dr. Deeken and colleagues reported results of the new genotyping platform called DMET (drug-metabolizing enzymes and transporters), developed by Affymetrix, Inc. (Santa Clara, CA, USA). The DMET "casts a wider net,” screening for 1256 genetic variations in 170 genes involved in drug absorption, distribution, metabolism, and excretion.
According to Dr. Deeken, one of the main obstacles facing pharmocogenetic researchers is the lack of a proven and relatively quick technology for genotyping. "DMET appears to offer great promise in this field as a reliable test unveiling genetic variations that correlated with drug effectiveness and toxicity,” stated Dr. Deeken. "Still, DMET isn't yet ready for primetime in terms of having received FDA [U.S. Food and Drug Administration] approval, but we're getting closer.”
Dr. Deeken serves as a consultant to Sanofi-Aventis (Bridgewater, NJ, USA), the manufacturer of docetaxel, a drug involved in the study.
Related Links:
Georgetown Lombardi Comprehensive Cancer Center
Affymetrix
Latest Technology News
- AI Platform Links Biomarker Results to Cancer Clinical Trials and Guidelines
- Agentic AI Platform Supports Genomic Decision-Making in Oncology
- Algorithm Panel Aids Liver Fibrosis Assessment and Liver Cancer Surveillance
- Mailed Screening Kits Help Reduce Colorectal Cancer Screening Gaps
- AI-Enabled Assistant Unifies Molecular Workflow Planning and Support
- AI Tool Automates Validation of Laboratory Software Configuration Changes
- Point-of-Care Testing Enhances Health Literacy and Self-Management in Chronic Disease
- Fully Automated Sample-to-Insight Workflow Advances Latent TB Testing
- Tumor-on-a-Chip Platform Models Pancreatic Cancer Treatment Response
- New Platform Captures Extracellular Vesicles for Early Cancer Detection
- Microfluidic Single-Cell Assay Predicts Breast Cancer Risk
- AI Tool Predicts Non-Response to Targeted Therapy in Colorectal Cancer
- Integrated System Streamlines Pre-Analytical Workflow for Molecular Testing
- Noninvasive Sputum Test Detects Early Lung Cancer
- New AI Tool Enables Rapid Treatment Selection in Pediatric Leukemia
- Rapid Biosensor Detects Drug Sensitivity in Breast Tumors
Channels
Clinical Chemistry
view channel
Saliva-Based Test Detects Biochemical Signs of Sleep Loss
Acute sleep loss impairs cognition and motor skills, raising safety risks that resemble alcohol intoxication. Clinicians currently lack an objective biochemical test to determine when someone is dangerously... Read more
Simple Dual-Tau Blood Test Detects and Stages Alzheimer’s Disease
Alzheimer’s disease is typically confirmed and staged with positron emission tomography scans and cerebrospinal fluid testing, procedures that are costly and invasive. Broader access to minimally invasive... Read more
Alzheimer’s Blood Biomarkers Linked to Early Cognitive Differences Before Dementia
Blood-based screening for Alzheimer’s disease offers a noninvasive, lower-cost alternative to brain imaging or spinal fluid testing, yet its ability to flag the earliest cognitive changes has been unclear.... Read moreMolecular Diagnostics
view channel
New PCR Assay Supports Bundibugyo Ebola Outbreak Surveillance
Rapid identification of Ebola infections is essential to limit transmission and guide public health response, yet detection can be difficult when outbreaks involve rare variants. The current outbreaks... Read more
Plasma Protein Signature Predicts Lung Cancer Risk Up to Five Years Ahead
Lung cancer remains a leading cause of cancer death, and many cases are detected only after symptoms appear. Current screening programs largely target people with a history of smoking, leaving other at-risk... Read moreHematology
view channel
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 more
Blood Eosinophil Count May Predict Cancer Immunotherapy Response and Toxicity
Immune checkpoint inhibitors have improved outcomes across many cancers, yet only a subset of patients derive durable benefit and biomarkers to guide treatment remain limited. Eosinophils, best known for... Read moreImmunology
view channelAptamer-Based Biosensor Enables Mutation-Resilient SARS-CoV-2 Detection
Rapid evolution of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) can undermine existing molecular diagnostics, especially when assays target small viral components. Double-antibody sandwich... Read more
Study Points to Autoimmune Pathway Behind Long COVID Symptoms
Long COVID leaves many SARS-CoV-2 survivors with persistent fatigue, cognitive issues, palpitations, and musculoskeletal pain for months or years. Estimates cited in new research suggest 4%–20% of infected... Read more
Metabolic Biomarker Distinguishes Latent from Active Tuberculosis and Tracks Treatment Response
Tuberculosis (TB) remains the world’s leading infectious killer, with 10.8 million cases and 1.25 million deaths recorded globally in 2023. Yet many infected individuals never develop active disease, underscoring... Read moreMicrobiology
view channel
New Culture Medium Speeds C. difficile Resistance Detection and Reduces Costs
Clostridioides difficile infections remain a persistent threat in hospitals and communities, affecting about 500,000 people in the United States each year. Severe cases can be fatal within 30 days of diagnosis,... Read more
Automated Blood Culture System Speeds Detection of Bloodstream Infections
Bloodstream infections and sepsis require rapid laboratory detection to guide targeted antimicrobial therapy and reduce mortality. Conventional blood culture workflows can delay actionable results by critical... Read morePathology
view channel
3D Spatial Multi-Omics Maps Intra-Tumor Diversity in Colorectal Cancer
Colorectal cancer remains a leading cause of cancer death, and clinical decision-making is complicated by marked intra-tumor heterogeneity. Conventional bulk sequencing averages molecular signals across... Read more
Blood-Based Method Tracks Gene Activity in the Living Brain
Real-time measurement of gene activity in the brain has been limited by assays requiring destructive tissue sampling. Tracking active genes could reveal how the body responds to environmental factors,... Read moreTechnology
view channel
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 more
Agentic AI Platform Supports Genomic Decision-Making in Oncology
Oncology care teams increasingly face the challenge of managing complex molecular diagnostics, evolving treatment options, and extensive electronic health record documentation. Translating multimodal data... Read moreIndustry
view channel
Collaboration Advances ctDNA-Guided Development in Metastatic Colorectal Cancer
Natera, Inc. (Austin, TX, USA) and CytoDyn Inc. (Vancouver, WA, USA) announced a strategic collaboration focused on metastatic colorectal cancer (mCRC). Under the agreement, Natera will evaluate circulating... Read more








