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Researchers at Dana-Farber Cancer Institute, Massachusetts General Hospital (MGH), and the Ó³»­´«Ã½ have developed a blood test that could transform the diagnosis and monitoring of multiple myeloma (MM) and its precursor conditions. The new method, known as SWIFT-seq, utilizes single-cell sequencing to profile circulating tumor cells (CTCs) in the blood, offering a non-invasive alternative to traditional bone marrow biopsies.

The study was published in .

"A lot of work has gone into the identification of genomic and transcriptomic features that predict worse outcome in MM, but we are still lacking the tests to measure them in our patients, said Irene Ghobrial, co-leader of the Lymphoma/Myeloma Cancer Center Program at Dana-Farber and an associate member in the Cancer Program at the Ó³»­´«Ã½. "As a clinician, this is the type of next-generation test that I would want to order for my patients."

Ghobrial was co-senior author of the study with Gad Getz, an institute member in the Ó³»­´«Ã½â€™s Cancer Program, director of the institute's Cancer Genome Computational Analysis group, and the Paul C. Zamecnik Chair in Oncology at the Krantz Family Center for Cancer Research at MGH.

Multiple myeloma is a challenging bone marrow cancer, often preceded by conditions such as monoclonal gammopathy of undetermined significance (MGUS) and smoldering multiple (SMM). Traditionally, bone marrow biopsies have been used to assess risk and monitor genetic changes in these conditions. However, these biopsies are painful, infrequent, and the accompanying technique, fluorescence in situ hybridization (FISH), often fails to provide clear results, leading to less effective risk assessment and influencing treatment decisions. 

"It would be amazing if we had a blood-based test that can outperform FISH and that works in the majority of patients – we think SWIFT-seq may just be that test," said Romanos Sklavenitis-Pistofidis, a postdoctoral fellow at Dana-Farber and Ó³»­´«Ã½ and co-first author of the study. 

SWIFT-seq offers an innovative alternative by allowing doctors to perform risk assessments and genetic monitoring using a simple blood test, making the process much easier and more reliable. Beyond counting CTCs, SWIFT-seq provides a detailed genetic profile, identifying key genetic changes crucial for understanding the disease. This method surpasses the accuracy of bone marrow tests like FISH. Additionally, SWIFT-seq evaluates tumor growth rates and identifies important gene patterns that can predict patient outcomes, all from a single blood sample. 

"SWIFT-seq is a powerful option as it can measure the number of CTCs, characterize the genomic alterations of the tumor, estimate the tumor’s proliferative capacity and measure prognostically useful gene signatures in a single test and from a blood sample," said Ghobrial.

The study involved 101 patients and healthy donors, demonstrating that SWIFT-seq successfully captured CTCs in 90 percent of patients with MGUS, SMM, and MM. Notably, it identified CTCs in 95 percent of patients with SMM and 94 percent of patients with newly diagnosed MM, the groups most likely to benefit from improved risk stratification and genomic surveillance. SWIFT-seq's ability to enumerate CTCs based on the tumor's molecular barcode, rather than relying on cell surface markers, sets it apart from existing methods like flow cytometry.

SWIFT-seq not only measures multiple clinically relevant features directly from a blood sample but also provides novel insights into the biology of tumor cell circulation. 

"We identified a gene signature that we believe captures the tumor’s circulatory capacity and may partly explain some of the unexplained mysteries of myeloma biology," said Elizabeth Lightbody, co-first author of the study, an instructor at Dana-Farber, and a visiting scientist at Ó³»­´«Ã½. "This can have a tremendous impact in how we think about curtailing tumor spread in patients with myeloma and could lead to the development of new drugs for patients."

The introduction of SWIFT-seq marks a significant advancement in myeloma diagnostics, offering a minimally invasive method to obtain multiple layers of clinically useful information from a single blood test. This breakthrough could lead to improved patient outcomes and a deeper understanding of myeloma biology.

Adapted from .