Individualized Treatment Plans for Multiple Myeloma

AC
Overseen ByAndrew Cowan, MD
No Placebo GroupAll trial participants will receive the active study treatment (no placebo)

What You Need to Know Before You Apply

What is the purpose of this trial?

This trial tests a new method to create personalized treatments for patients with multiple myeloma or plasma cell leukemia that has returned or stopped responding to other treatments. Researchers use high throughput screening, which tests many drugs simultaneously, along with genetic information to identify the best drugs for each patient. This approach could help doctors select more effective treatments tailored to each person's specific disease. Suitable candidates include patients whose multiple myeloma has returned after several treatments or who did not respond well to their first treatment. As an unphased trial, this study allows patients to contribute to groundbreaking research that could lead to more personalized and effective treatment options.

Do I need to stop my current medications to join the trial?

The trial protocol does not specify if you need to stop your current medications. However, you cannot have had previous treatments for multiple myeloma within 2 weeks of starting the study treatment.

Do I need to stop my current medications to join the trial?

The trial protocol does not specify if you need to stop taking your current medications. However, it mentions that previous treatments for multiple myeloma should not have been given within 2 weeks before starting the study treatment.

What prior data suggests that this high throughput screening is safe for patients with multiple myeloma or plasma cell leukemia?

Research has shown that high-throughput screening, a method for quickly testing many drugs, can help predict how patients with multiple myeloma will respond to treatments. Studies indicate that this method is generally safe and well-tolerated. For instance, one study tested 170 different compounds and found that patients did not experience severe side effects from the screening itself, suggesting its safety for people.

Although high-throughput screening is not a treatment, it aids in selecting the best possible drugs for a patient, making it a valuable tool in managing multiple myeloma, a type of cancer affecting blood cells. The goal is to find the most effective drug with the fewest side effects for each patient. Overall, research supports the safety of using high-throughput screening in this personalized approach.12345

Why are researchers excited about this trial?

Researchers are excited about high-throughput screening for multiple myeloma because it offers a personalized approach to treatment. Unlike standard therapies that apply a one-size-fits-all strategy, this method uses advanced assays and sequencing to tailor treatment plans based on individual drug sensitivities and genetic mutations. This could potentially lead to more effective and targeted treatments, reducing trial-and-error in finding the right therapy for patients. By directly involving patients and their doctors in the decision-making process with precise data, this approach aims to improve outcomes and minimize unnecessary side effects.

What evidence suggests that high throughput screening is effective for multiple myeloma?

Research has shown that high-throughput screening can aid in treating multiple myeloma by matching drugs to a patient's specific cancer type. In this trial, patients will undergo high-throughput drug sensitivity assays and mutational analysis using next-generation sequencing. One study found that 92% of patients treated based on these tests had their disease remain stable, and 46% showed partial improvement or better. This approach uses advanced technology to quickly test many drugs, identifying which might work best for each individual. It provides doctors and patients with more information for making targeted treatment decisions. Overall, this method appears promising for improving outcomes in hard-to-treat cancers.12678

Who Is on the Research Team?

DD

Danai Dima, MD

Principal Investigator

Fred Hutch/University of Washington Cancer Consortium

Are You a Good Fit for This Trial?

This trial is for adults with relapsed or refractory multiple myeloma or plasma cell leukemia who have tried at least three prior treatments, including an IMiD and a PI. They must be able to consent, practice birth control if applicable, have adequate organ function, and measurable disease. Excluded are those with HIV/hepatitis B/C, recent major treatments like SCT within 12 weeks, active infections requiring antibiotics within 7 days of study start.

Inclusion Criteria

Your blood test shows high levels of a specific protein called free light chain and an abnormal ratio of certain proteins in your blood.
A sample from my bone marrow or tissue with enough cells for testing has been collected.
You have a disease that can be measured by specific criteria.
See 11 more

Exclusion Criteria

I have another cancer that is expected to affect my life for less than a year.
Pregnant or breast feeding women
I do not have HIV or active hepatitis B or C.
See 8 more

Timeline for a Trial Participant

Screening

Participants are screened for eligibility to participate in the trial

2-4 weeks

High-throughput Assay and Sequencing

Patients undergo collection of bone marrow aspirate and blood for high-throughput drug sensitivity assay and mutational analysis using next generation sequencing.

Up to 3 weeks
1 visit (in-person)

Treatment Decision

Patients and their treating physicians receive the results of the tests and make treatment decisions.

Variable

Follow-up

Participants are monitored for safety and effectiveness after treatment

Every 3 months for 2 years

What Are the Treatments Tested in This Trial?

Interventions

  • High Throughput Screening
Trial Overview The trial tests the feasibility of using high throughput drug sensitivity screening alongside genomics data to personalize treatment for patients whose multiple myeloma or plasma cell leukemia has returned after treatment or is resistant. It involves collecting samples from patients and testing many drugs simultaneously to find effective ones based on genetic information.
How Is the Trial Designed?
1Treatment groups
Experimental Treatment
Group I: Device feasibility (high-throughput assay, sequencing)Experimental Treatment3 Interventions

Find a Clinic Near You

Who Is Running the Clinical Trial?

University of Washington

Lead Sponsor

Trials
1,858
Recruited
2,023,000+

Published Research Related to This Trial

The study analyzed the impact of FDA-issued boxed warnings on the reporting rates of adverse drug reactions (ADRs) for multiple myeloma drugs, finding that awareness of ADRs increased significantly after warnings were issued.
Out of 10 drug/ADR combinations studied, six showed a rise in reporting rates for serious adverse events post-warning, suggesting that boxed warnings effectively enhance pharmacovigilance and awareness among healthcare providers.
Impact of United States Food and Drug Administration's boxed warnings on adverse drug reactions reporting rates and risk mitigation for multiple myeloma drugs.Garg, V., Raisch, DW., McKoy, JM., et al.[2021]
A clinical trial involving 25 patients with relapsed or refractory multiple myeloma successfully used high-throughput screening (HTS) of 170 compounds to predict treatment responses, with actionable results available within 5 days.
Among the 13 patients who received therapy guided by the HTS results, 92% achieved stable disease or better, highlighting the potential of personalized treatment strategies based on drug sensitivity testing.
High-Throughput Drug Screening and Multi-Omic Analysis to Guide Individualized Treatment for Multiple Myeloma.Coffey, DG., Cowan, AJ., DeGraaff, B., et al.[2023]
A 7-gene signature developed from RNA sequencing of newly diagnosed multiple myeloma patients can predict which treatment regimens (bortezomib or lenalidomide) will be more effective for individual patients, enhancing personalized therapy.
Patients treated according to this gene signature showed significantly better progression-free survival (20.1 months vs not reached) and overall survival (30.7 months vs not reached) compared to those who were not, indicating that this approach could optimize treatment outcomes in multiple myeloma.
RNA-seq of newly diagnosed patients in the PADIMAC study leads to a bortezomib/lenalidomide decision signature.Chapman, MA., Sive, J., Ambrose, J., et al.[2023]

Citations

High-Throughput Drug Screening and Multi-Omic Analysis ...Among the 13 patients who received assay-guided therapy (Fig 2), the overall response rate was 46% (partial response or better) with 92% having at least stable ...
Advancements in Multiple Myeloma Research: High ...Recent advances in omics technologies, high-throughput sequencing, and artificial intelligence have enhanced data analysis, leading to improved predictions and ...
High-Throughput Drug Screening and Multi-Omic Analysis ...An actionable treatment result was identified in all 16 patients examined. Among the 13 patients who received assay-guided therapy, 92% achieved ...
High-Throughput Functional Drug Screening and Genomic ...We report that the HTS assay can be completed in a median of 5 days from sampling (range 4-6 days), establishing feasibility. The mean ...
Usefulness and real-world outcomes of next generation ...According to our data, real-world outcomes after NGS testing provide evidence of the benefit of clinical judgement in patients with either ...
Genomic profiling of multiple myeloma: New insights and ...The use of high throughput next generation sequencing (NGS) has greatly advanced our insights of the genomic landscape and disease biology of multiple myeloma ...
August and September 2025: What's New in Myeloma?The development of liquid biopsies and MS has improved the sensitivity of MRD detection in multiple myeloma. Liquid biopsies using next- ...
A High-Throughput, Three-Dimensional Multiple Myeloma ...We showed that 3D spheroids consisting of MM cells and CAF-like stromal cells provide a more comprehensive, physiologically relevant immuno-oncology model.
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