LabMedica

Download Mobile App
Recent News Expo Clinical Chem. Molecular Diagnostics Hematology Immunology Microbiology Pathology Technology Industry Focus

Molecular Profiles, Microenvironment Signatures May Improve Lymphoma Prognosis

By LabMedica International staff writers
Posted on 09 Jan 2020
Print article
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)
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


Gold Member
Pharmacogenetics Panel
VeriDose Core Panel v2.0
Verification Panels for Assay Development & QC
Seroconversion Panels
New
Bordetella Pertussis Molecular Assay
Alethia Pertussis
New
Respiratory Bacterial Panel
Real Respiratory Bacterial Panel 2

Print article

Channels

Clinical Chemistry

view channel
Image: The tiny clay-based materials can be customized for a range of medical applications (Photo courtesy of Angira Roy and Sam O’Keefe)

‘Brilliantly Luminous’ Nanoscale Chemical Tool to Improve Disease Detection

Thousands of commercially available glowing molecules known as fluorophores are commonly used in medical imaging, disease detection, biomarker tagging, and chemical analysis. They are also integral in... Read more

Immunology

view channel
Image: The cancer stem cell test can accurately choose more effective treatments (Photo courtesy of University of Cincinnati)

Stem Cell Test Predicts Treatment Outcome for Patients with Platinum-Resistant Ovarian Cancer

Epithelial ovarian cancer frequently responds to chemotherapy initially, but eventually, the tumor develops resistance to the therapy, leading to regrowth. This resistance is partially due to the activation... Read more

Microbiology

view channel
Image: The lab-in-tube assay could improve TB diagnoses in rural or resource-limited areas (Photo courtesy of Kenny Lass/Tulane University)

Handheld Device Delivers Low-Cost TB Results in Less Than One Hour

Tuberculosis (TB) remains the deadliest infectious disease globally, affecting an estimated 10 million people annually. In 2021, about 4.2 million TB cases went undiagnosed or unreported, mainly due to... Read more

Technology

view channel
Image: The HIV-1 self-testing chip will be capable of selectively detecting HIV in whole blood samples (Photo courtesy of Shutterstock)

Disposable Microchip Technology Could Selectively Detect HIV in Whole Blood Samples

As of the end of 2023, approximately 40 million people globally were living with HIV, and around 630,000 individuals died from AIDS-related illnesses that same year. Despite a substantial decline in deaths... Read more

Industry

view channel
Image: The collaboration aims to leverage Oxford Nanopore\'s sequencing platform and Cepheid\'s GeneXpert system to advance the field of sequencing for infectious diseases (Photo courtesy of Cepheid)

Cepheid and Oxford Nanopore Technologies Partner on Advancing Automated Sequencing-Based Solutions

Cepheid (Sunnyvale, CA, USA), a leading molecular diagnostics company, and Oxford Nanopore Technologies (Oxford, UK), the company behind a new generation of sequencing-based molecular analysis technologies,... Read more
Sekisui Diagnostics UK Ltd.