Aims: Multiple myeloma is a genomically complex haematological malignancy with many genomic alterations recognised as important in diagnosis, prognosis and therapeutic decision making. Here, we provide a summary of genomic findings identified through routine diagnostic next-generation sequencing at our centre.
Methods: A cohort of 86 patients with multiple myeloma underwent diagnostic sequencing using a custom hybridisation-based panel targeting 104 genes. Sequence variants, genome-wide copy number changes and structural rearrangements were detected using an inhouse-developed bioinformatics pipeline.
Results: At least one mutation was found in 69 (80%) patients. Frequently mutated genes included (36%), (22.1%), (15.1%), (8.1%) and (5.8%), including multiple mutations not previously described in myeloma. Importantly we observed mutations in the absence of a 17 p deletion in 8% of the cohort, highlighting the need for sequencing-based assessment in addition to cytogenetics to identify these high-risk patients. Multiple novel copy number changes and immunoglobulin heavy chain translocations are also discussed.
Conclusions: Our results demonstrate that many clinically relevant genomic findings remain in multiple myeloma which have not yet been identified through large-scale sequencing efforts, and provide important mechanistic insights into plasma cell pathobiology.
Download full-text PDF |
Source |
---|---|
http://dx.doi.org/10.1136/jclinpath-2018-205195 | DOI Listing |
Hematology
December 2025
Department of Hematology, Shaoxing Shangyu people's Hospital, Shaoxing, People's Republic of China.
Objective: Liquid-liquid phase separation (LLPS) may affect the therapeutic sensitivity of multiple myeloma (MM). This study aimed to identify LLPS-related genes with MM prognostic values and to confirm their effects on tumor progression.
Methods: Based on public transcriptomic data, this study screened LLPS- and immune-related genes for MM-derived plasma cells.
Cancer Med
December 2024
Department of Hematology, Peking University First Hospital, Beijing, People's Republic of China.
Background: An effective urine-based method for the diagnosis, differential diagnosis and prognosis of multiple myeloma (MM) has not yet been developed. Urine cell-free DNA (cfDNA) carrying cancer-specific genetic and epigenetic aberrations may enable a noninvasive "liquid biopsy" for diagnosis and monitoring of cancer.
Methods: We first identified MM-specific hydroxymethylcytosine signatures by comparing 64 MM patients, 23 amyloidosis (AM) patients and 59 healthy cohort.
Biomaterials
December 2024
School of Engineering, Vanderbilt University, Nashville, TN, 37235, USA. Electronic address:
Multiple myeloma (MM), a cancer of bone marrow plasma cells, is the second-most common hematological malignancy. However, despite immunotherapies like chimeric antigen receptor (CAR)-T cells, relapse is nearly universal. The bone marrow (BM) microenvironment influences how MM cells survive, proliferate, and resist treatment.
View Article and Find Full Text PDFLeuk Lymphoma
December 2024
Division of Hematology, Mayo Clinic, Rochester, MN, USA.
Over the past two decades, new agents for multiple myeloma (MM) have significantly improved patient outcomes, particularly for those with standard-risk disease, who now have a median overall survival of over a decade. However, this benefit is less pronounced in high-risk and ultra-high-risk MM, where median survival ranges from 3 to 5 years. The definition of HRMM continues to evolve and is driven by the genomic features, disease burden, and medical comorbidities.
View Article and Find Full Text PDFClin Lymphoma Myeloma Leuk
November 2024
Department of Radiation Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX. Electronic address:
Background: The prognosis of multiple myeloma involving the central nervous system (CNS-MM) is poor. We report outcomes of CNS-MM treated with CNS-directed radiation therapy (RT).
Methods: We retrospectively reviewed patients with CNS-MM treated with CNS-directed RT from 2015 to 2024.
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!