We use cookies to understand how you use our site and to improve your experience. This includes personalizing content and advertising. To learn more, click here. By continuing to use our site, you accept our use of cookies. Cookie Policy.

Features Partner Sites Information LinkXpress
Sign In
Advertise with Us
BIO-RAD LABORATORIES

Download Mobile App




Immune Microenvironment Characterized in Multiple Myeloma Progression

By LabMedica International staff writers
Posted on 30 Nov 2022
Print article
Image: The 10X Genomics Chromium Single Cell Gene Expression Solution (Photo courtesy of Technion Israel Institute of Technology)
Image: The 10X Genomics Chromium Single Cell Gene Expression Solution (Photo courtesy of Technion Israel Institute of Technology)

Multiple myeloma (MM) is a malignant disease of plasma cells (PCs) that reside within the bone marrow (BM). Early alterations within the bone marrow microenvironment that contribute to the progression of MM from its precursor stages could be the key to identifying novel therapeutic approaches.

The disease transitions from the precursor stages, monoclonal gammopathy of undetermined significance (MGUS) and smoldering MM (SMM), to clinically aggressive disease. Although the outcomes have improved, the disease remains largely incurable once progression has occurred.

Clinical Scientists at the University of Arkansas for Medical Sciences (Little Rock, AR, USA) and their international colleagues collected primary BM and peripheral blood (PB) samples were from nine patients with MGUS, seven with SMM, and 10 with newly diagnosed MM (NDMM). CD138-depleted BM samples were viably frozen in dimethyl sulfoxide at a final concentration of 10% and processed for single-cell RNA sequencing (scRNA-seq) and T-cell receptor (TCR) sequencing.

The team used single-cell RNA sequencing of bone marrow cells with the 10× Genomics Single Cell 5′ version kit (Pleasanton, CA, USA) that was performed on the PC-depleted mononuclear fraction of BM aspirates from patients. Single-cell capture (target, 3,000 cells), reverse transcription, library preparation (expression and TCR), and paired-end sequencing were performed. All BM samples were further investigated by eight color flow cytometry using CD138, CD38, CD45, CD19, CD56, CD20, CD27, and CD81 to distinguish B-, T-, NK-, and immature B-cell subsets as well as monocytes. Preprocessing of the 10× scRNA-seq and TCR data was performed with CellRanger.

The scientists identified changes in immune cell populations as the disease progressed, which were characterized by a substantial decrease in memory and naïve CD4 T cells, and an increase in CD8+ effector T cells and T-regulatory cells. These alterations were further accompanied by an enrichment of nonclonal memory B cells and an increase in CD14 and CD16 monocytes in MM compared with its precursor stages. T cells were by far the largest subpopulation with 27,621 of the total 62,044 cells (44.5%) and were clustered into 10 distinct T-cell subpopulations. T cells were divided into two main clusters, consisting of CD4 and CD8 T cells. B cells were divided into naïve B cells and Memory B cells.

The investigators reported that memory B cells showed a striking expansion from MGUS to NDMM in both data sets and the meta-analysis. Alterations were further accompanied by an enrichment of nonclonal memory B cells and an increase in CD14 and CD16 monocytes in MM compared with its precursor stages.

The authors concluded that their results provide crucial information on the immune changes associated with the progression to clinical MM and can help to develop immune-based strategies for patient stratification and early therapeutic intervention. The study was published on November 22, 2022 in the journal Blood Advances.

Related Links:
University of Arkansas for Medical Sciences 
10× Genomics

Platinum Member
COVID-19 Rapid Test
OSOM COVID-19 Antigen Rapid Test
Magnetic Bead Separation Modules
MAG and HEATMAG
POCT Fluorescent Immunoassay Analyzer
FIA Go
Gold Member
Systemic Autoimmune Testing Assay
BioPlex 2200 ANA Screen with MDSS

Print article

Channels

Clinical Chemistry

view channel
Image: The 3D printed miniature ionizer is a key component of a mass spectrometer (Photo courtesy of MIT)

3D Printed Point-Of-Care Mass Spectrometer Outperforms State-Of-The-Art Models

Mass spectrometry is a precise technique for identifying the chemical components of a sample and has significant potential for monitoring chronic illness health states, such as measuring hormone levels... Read more

Molecular Diagnostics

view channel
Image: Signs of multiple sclerosis show up in blood years before symptoms appear (Photo courtesy of vitstudio/Shutterstock)

Unique Autoantibody Signature to Help Diagnose Multiple Sclerosis Years before Symptom Onset

Autoimmune diseases such as multiple sclerosis (MS) are thought to occur partly due to unusual immune responses to common infections. Early MS symptoms, including dizziness, spasms, and fatigue, often... Read more

Immunology

view channel
Image: Exosomes can be a promising biomarker for cellular rejection after organ transplant (Photo courtesy of Nicolas Primola/Shutterstock)

Diagnostic Blood Test for Cellular Rejection after Organ Transplant Could Replace Surgical Biopsies

Transplanted organs constantly face the risk of being rejected by the recipient's immune system which differentiates self from non-self using T cells and B cells. T cells are commonly associated with acute... Read more

Microbiology

view channel
Image: Microscope image showing human colorectal cancer tumor with Fusobacterium nucleatum stained in a red-purple color (Photo courtesy of Fred Hutch Cancer Center)

Mouth Bacteria Test Could Predict Colon Cancer Progression

Colon cancer, a relatively common but challenging disease to diagnose, requires confirmation through a colonoscopy or surgery. Recently, there has been a worrying increase in colon cancer rates among younger... Read more

Pathology

view channel
Image: A new study has identified patterns that predict ovarian cancer relapse (Photo courtesy of Cedars-Sinai)

Spatial Tissue Analysis Identifies Patterns Associated With Ovarian Cancer Relapse

High-grade serous ovarian carcinoma is the most lethal type of ovarian cancer, and it poses significant detection challenges. Typically, patients initially respond to surgery and chemotherapy, but the... Read more
Copyright © 2000-2024 Globetech Media. All rights reserved.