Molecular Profiles, Microenvironment Signatures May Improve Lymphoma Prognosis
|
By LabMedica International staff writers Posted on 09 Jan 2020 |

Image: Micrograph of a diffuse large B cell lymphoma, from a bone marrow aspirate; the nucleus may be convoluted and irregular (Photo courtesy of Peter Maslak)
The tumor microenvironment includes surrounding blood vessels, immune cells, fibroblasts, signaling molecules, and the extracellular matrix that encapsulate the cancerous cells. The non-lymphoma cells lingering in the tumor's microenvironment, for example, can modify the effect of the mutations.
Although gene alterations driving a tumor provide information about cancer cell aggressiveness, non-malignant cells of the tumor microenvironment have the potential to promote malignant growth by supporting immune evasion and enabling the development of new blood vessels. In the past few years, scientists have profiled the genomes of lymphomas, defined mutations that confer good and bad prognoses, and found several clinically actionable mutations.
Scientists at Weill Cornell Medicine (New York, NY, USA) and their colleagues at BostonGene Corporation (Boston, MA, USA) developed and deconvoluted transcriptomics signatures of lymphoma microenvironment (LME) cells and pathways from 3,026 diffuse large B-cell lymphomas (DLBCLs) from 13 datasets including a new cohort of 127 patients. Mutations were available for 562 patients of the datasets and for 22 patients from that cohort (whole-exome sequencing with matched normal). Applying density-based clustering they identified four LME signatures, independent of reported transcriptional and genetic classifications based on lymphoma cells.
The team applied density-based clustering to identify four lymphoma microenvironment signatures that provided prognostic information beyond what could be gleaned from just lymphoma cell transcriptomes and mutations. Two of the signatures, named "immunosuppressive" and "mesenchymal," were associated with making tumor mutations behave better, and the other two, called "anti-tumor immunity" and "depleted," were associated with making mutations behave worse.
When patients have a tumor mutation associated with poor prognosis in a good tumor microenvironment, that mutation may not be that bad, they showed. Conversely, when patients have a tumor mutation that usually indicates a good prognosis but it is in a bad microenvironment, that mutation can be detrimental. For example, double-hit (DH) lymphomas are well-known subgroups that harbor both BCL2 and MYC gene translocations. Considering the genetics alone, this subgroup is usually associated with a bad prognosis. However, when DH lymphomas exhibit a microenvironment subtype with a good prognosis, the prognosis of these DH lymphoma patients is usually improved.
Leandro Cerchietti, MD, an Oncologist and first author of the study, said, “We classified the tumors, we considered new categories that were not considered before to increase the precision of the diagnosis. It also offers the possibility of doing more precise clinical trials now that we have this information available for the patients.” The study was presented on December 9, 2019 at the American Society of Hematology annual meeting held in Orlando, FL, USA.
Related Links:
Weill Cornell Medicine
BostonGene Corporation
Although gene alterations driving a tumor provide information about cancer cell aggressiveness, non-malignant cells of the tumor microenvironment have the potential to promote malignant growth by supporting immune evasion and enabling the development of new blood vessels. In the past few years, scientists have profiled the genomes of lymphomas, defined mutations that confer good and bad prognoses, and found several clinically actionable mutations.
Scientists at Weill Cornell Medicine (New York, NY, USA) and their colleagues at BostonGene Corporation (Boston, MA, USA) developed and deconvoluted transcriptomics signatures of lymphoma microenvironment (LME) cells and pathways from 3,026 diffuse large B-cell lymphomas (DLBCLs) from 13 datasets including a new cohort of 127 patients. Mutations were available for 562 patients of the datasets and for 22 patients from that cohort (whole-exome sequencing with matched normal). Applying density-based clustering they identified four LME signatures, independent of reported transcriptional and genetic classifications based on lymphoma cells.
The team applied density-based clustering to identify four lymphoma microenvironment signatures that provided prognostic information beyond what could be gleaned from just lymphoma cell transcriptomes and mutations. Two of the signatures, named "immunosuppressive" and "mesenchymal," were associated with making tumor mutations behave better, and the other two, called "anti-tumor immunity" and "depleted," were associated with making mutations behave worse.
When patients have a tumor mutation associated with poor prognosis in a good tumor microenvironment, that mutation may not be that bad, they showed. Conversely, when patients have a tumor mutation that usually indicates a good prognosis but it is in a bad microenvironment, that mutation can be detrimental. For example, double-hit (DH) lymphomas are well-known subgroups that harbor both BCL2 and MYC gene translocations. Considering the genetics alone, this subgroup is usually associated with a bad prognosis. However, when DH lymphomas exhibit a microenvironment subtype with a good prognosis, the prognosis of these DH lymphoma patients is usually improved.
Leandro Cerchietti, MD, an Oncologist and first author of the study, said, “We classified the tumors, we considered new categories that were not considered before to increase the precision of the diagnosis. It also offers the possibility of doing more precise clinical trials now that we have this information available for the patients.” The study was presented on December 9, 2019 at the American Society of Hematology annual meeting held in Orlando, FL, USA.
Related Links:
Weill Cornell Medicine
BostonGene Corporation
Latest Hematology News
- New Guidelines Aim to Improve AL Amyloidosis Diagnosis
- Automated Hemostasis System Helps Labs of All Sizes Optimize Workflow
- Fast and Easy Test Could Revolutionize Blood Transfusions
- High-Sensitivity Blood Test Improves Assessment of Clotting Risk in Heart Disease Patients
- 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
Channels
Clinical Chemistry
view channel
New PSA-Based Prognostic Model Improves Prostate Cancer Risk Assessment
Prostate cancer is the second-leading cause of cancer death among American men, and about one in eight will be diagnosed in their lifetime. Screening relies on blood levels of prostate-specific antigen... Read more
Extracellular Vesicles Linked to Heart Failure Risk in CKD Patients
Chronic kidney disease (CKD) affects more than 1 in 7 Americans and is strongly associated with cardiovascular complications, which account for more than half of deaths among people with CKD.... Read moreMolecular Diagnostics
view channel
Diagnostic Device Predicts Treatment Response for Brain Tumors Via Blood Test
Glioblastoma is one of the deadliest forms of brain cancer, largely because doctors have no reliable way to determine whether treatments are working in real time. Assessing therapeutic response currently... Read more
Blood Test Detects Early-Stage Cancers by Measuring Epigenetic Instability
Early-stage cancers are notoriously difficult to detect because molecular changes are subtle and often missed by existing screening tools. Many liquid biopsies rely on measuring absolute DNA methylation... Read more
“Lab-On-A-Disc” Device Paves Way for More Automated Liquid Biopsies
Extracellular vesicles (EVs) are tiny particles released by cells into the bloodstream that carry molecular information about a cell’s condition, including whether it is cancerous. However, EVs are highly... Read more
Blood Test Identifies Inflammatory Breast Cancer Patients at Increased Risk of Brain Metastasis
Brain metastasis is a frequent and devastating complication in patients with inflammatory breast cancer, an aggressive subtype with limited treatment options. Despite its high incidence, the biological... Read moreImmunology
view channelBlood Test Identifies Lung Cancer Patients Who Can Benefit from Immunotherapy Drug
Small cell lung cancer (SCLC) is an aggressive disease with limited treatment options, and even newly approved immunotherapies do not benefit all patients. While immunotherapy can extend survival for some,... Read more
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
Comprehensive Review Identifies Gut Microbiome Signatures Associated With Alzheimer’s Disease
Alzheimer’s disease affects approximately 6.7 million people in the United States and nearly 50 million worldwide, yet early cognitive decline remains difficult to characterize. Increasing evidence suggests... Read moreAI-Powered Platform Enables Rapid Detection of Drug-Resistant C. Auris Pathogens
Infections caused by the pathogenic yeast Candida auris pose a significant threat to hospitalized patients, particularly those with weakened immune systems or those who have invasive medical devices.... Read morePathology
view channel
Engineered Yeast Cells Enable Rapid Testing of Cancer Immunotherapy
Developing new cancer immunotherapies is a slow, costly, and high-risk process, particularly for CAR T cell treatments that must precisely recognize cancer-specific antigens. Small differences in tumor... Read more
First-Of-Its-Kind Test Identifies Autism Risk at Birth
Autism spectrum disorder is treatable, and extensive research shows that early intervention can significantly improve cognitive, social, and behavioral outcomes. Yet in the United States, the average age... Read moreTechnology
view channel
Robotic Technology Unveiled for Automated Diagnostic Blood Draws
Routine diagnostic blood collection is a high‑volume task that can strain staffing and introduce human‑dependent variability, with downstream implications for sample quality and patient experience.... Read more
ADLM Launches First-of-Its-Kind Data Science Program for Laboratory Medicine Professionals
Clinical laboratories generate billions of test results each year, creating a treasure trove of data with the potential to support more personalized testing, improve operational efficiency, and enhance patient care.... Read moreAptamer 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 channelNew Collaboration Brings Automated Mass Spectrometry to Routine Laboratory Testing
Mass spectrometry is a powerful analytical technique that identifies and quantifies molecules based on their mass and electrical charge. Its high selectivity, sensitivity, and accuracy make it indispensable... Read more
AI-Powered Cervical Cancer Test Set for Major Rollout in Latin America
Noul Co., a Korean company specializing in AI-based blood and cancer diagnostics, announced it will supply its intelligence (AI)-based miLab CER cervical cancer diagnostic solution to Mexico under a multi‑year... Read more
Diasorin and Fisher Scientific Enter into US Distribution Agreement for Molecular POC Platform
Diasorin (Saluggia, Italy) has entered into an exclusive distribution agreement with Fisher Scientific, part of Thermo Fisher Scientific (Waltham, MA, USA), for the LIAISON NES molecular point-of-care... Read more







