Gene Translocation Marker Linked to Drug Resistance and Poor Prognosis
|
By LabMedica International staff writers Posted on 29 Apr 2019 |

Image: A histopathological image of multiple myeloma from a bone marrow aspirate (Photo courtesy of Wikimedia Commons).
Cancer researchers have identified a genetic marker linked to the likelihood of a bad prognosis for some patients suffering from multiple myeloma.
Multiple myeloma is a malignancy of antibody-secreting plasma cells. Most patients benefit from current therapies, however, 20% of patients relapse or die within two years and are deemed high risk.
To better understand the mechanisms that promote development of resistance to immunomodulatory drugs such as lenalidomide, investigators at Emory University School of Medicine (Atlanta, GA, USA) analyzed structural variants from 795 newly-diagnosed myeloma patients participating in the CoMMPass (Clinical Outcomes in Multiple Myeloma to Personal Assessment) study.
Results revealed that translocations involving the immunoglobulin lambda (IgL) gene locus were present in 10% of patients, and indicative of poor prognosis. This was particularly true for IgL-MYC gene translocations, which coincided with focal amplifications of enhancers at both loci. Importantly, 78% of IgL-MYC translocations co-occurred with hyperdiploid disease, a marker of standard risk, suggesting that IgL-MYC-translocated myelomas were being misclassified.
In addition, patients with myelomas carrying IgL translocations derived no survival benefit from immunomodulatory drugs such as lenalidomide. This may be because the IgL gene's activity was resistant to the mechanism of action of those drugs, or because the lenalidomide family of drugs promotes the destruction of Ikaros proteins, which bind especially tightly to the IgL gene locus.
"This [IgL translocation] could be different than other markers that we currently use in myeloma, because it may influence which drugs physicians may choose in both initial treatment as well as maintenance therapy," said senior author Dr. Lawrence Boise, professor of hematology and medical oncology at Emory University School of Medicine. "Most patients who have an IgL translocation are actually being diagnosed as having standard risk disease, so this study has helped explain why some patients who we think will do well end up relapsing and dying early."
The study was published in the April 23, 2019, online edition of the journal Nature Communications.
Related Links:
Emory University School of Medicine
Multiple myeloma is a malignancy of antibody-secreting plasma cells. Most patients benefit from current therapies, however, 20% of patients relapse or die within two years and are deemed high risk.
To better understand the mechanisms that promote development of resistance to immunomodulatory drugs such as lenalidomide, investigators at Emory University School of Medicine (Atlanta, GA, USA) analyzed structural variants from 795 newly-diagnosed myeloma patients participating in the CoMMPass (Clinical Outcomes in Multiple Myeloma to Personal Assessment) study.
Results revealed that translocations involving the immunoglobulin lambda (IgL) gene locus were present in 10% of patients, and indicative of poor prognosis. This was particularly true for IgL-MYC gene translocations, which coincided with focal amplifications of enhancers at both loci. Importantly, 78% of IgL-MYC translocations co-occurred with hyperdiploid disease, a marker of standard risk, suggesting that IgL-MYC-translocated myelomas were being misclassified.
In addition, patients with myelomas carrying IgL translocations derived no survival benefit from immunomodulatory drugs such as lenalidomide. This may be because the IgL gene's activity was resistant to the mechanism of action of those drugs, or because the lenalidomide family of drugs promotes the destruction of Ikaros proteins, which bind especially tightly to the IgL gene locus.
"This [IgL translocation] could be different than other markers that we currently use in myeloma, because it may influence which drugs physicians may choose in both initial treatment as well as maintenance therapy," said senior author Dr. Lawrence Boise, professor of hematology and medical oncology at Emory University School of Medicine. "Most patients who have an IgL translocation are actually being diagnosed as having standard risk disease, so this study has helped explain why some patients who we think will do well end up relapsing and dying early."
The study was published in the April 23, 2019, online edition of the journal Nature Communications.
Related Links:
Emory University School of Medicine
Latest BioResearch News
- Lung Cancer Study Reveals Cellular Program Behind Therapy Resistance
- Tumor Genome Marker May Predict Treatment Benefit in Pediatric Cancers
- Lysosomal Gene Defect Linked to Severe Childhood Brain Disorders
- Genetic Testing Identifies Greater Inherited Sudden Cardiac Arrest Risk in Younger Individuals
- Hidden 'Jumping Gene' Variant Linked to Higher Pancreatic Cancer Risk
- Common White Blood Cells Produce Schizophrenia-Linked Protein
- Nanopore Method Captures RNA Folding at Single-Molecule Resolution
- Tumor Microenvironment Marker Linked to Worse Survival in Solid Tumors
- Hidden Immune Gene Defect May Explain Kaposi Sarcoma Susceptibility
- Genetic Markers May Help Predict Amputation Risk in Peripheral Artery Disease
- Gene Signature Shows Promise for Depression Biomarker Testing
- AI-Driven Tumor Profiling Initiative Targets Precision Therapy Development
- Researchers Map Protein and Glycosylation Across 15 Human Body Fluids
- Telomere Length Abnormalities Linked to Lymphoma Development
- Biomarker Signals Chemotherapy Resistance in Relapsed Small Cell Lung Cancer
- Inflammatory Gene Signature Links Metabolic Disease to Pancreatic Cancer Recurrence
Channels
Clinical Chemistry
view channel
Mass Spectrometry Detects Tumor Metabolites for Cancer Monitoring
Cancer’s altered metabolism complicates how clinicians detect and monitor tumors, because nutrient use can shift with context and time. Measuring small-molecule metabolites that distinguish malignant from... Read more
Urinary Biomarker Assay Predicts Kidney Disease Progression Beyond Standard Measures
Many patients with type 2 diabetes and chronic kidney disease continue to experience progressive renal decline, yet conventional markers such as albuminuria and estimated glomerular filtration rate (eGFR)... Read moreMolecular Diagnostics
view channel
New Library Normalization and Amplification Tools Support Oncology Sequencing
High-throughput next-generation sequencing (NGS) laboratories continue to grapple with uneven library pooling and amplification artifacts that can degrade variant calling accuracy and increase reruns.... Read more
Statistical Method Improves Detection of Low-Level Cancer DNA in Blood Samples
Blood-based assays are increasingly used to detect and monitor cancer, but many require relatively high fractions of circulating tumor DNA, limiting their utility when disease burden is low.... 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
TORCH Infection Trends Point to Need for Tailored Screening in Pregnancy
Congenital TORCH infections can be asymptomatic during pregnancy yet cause stillbirth, birth defects, and lifelong disability in infants. Many regions still lack robust surveillance to guide testing and... Read more
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 morePathology
view channel
AI Tool Speeds Brain Tumor Classification from Routine Histology Slides
Accurate classification of brain and spinal cord tumors increasingly depends on molecular profiling alongside histology, but access to such testing remains limited and results can take about two weeks.... Read more
IHC Companion Diagnostic Standardizes Mismatch Repair Testing for Cancer Immunotherapy
Deficient DNA mismatch repair is an established predictive biomarker for response to immune checkpoint inhibitors, yet access to standardized assessment has varied across tumor types. Cancer remains the... 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
Genetic Testing Program Expands Detection of Alpha-1 Antitrypsin Deficiency
Alpha-1 Antitrypsin Deficiency (AATD) is a progressive genetic condition, the leading known genetic risk factor for chronic obstructive pulmonary disease (COPD), and a cause of liver disease in both children... Read more








