Evidence map›Paper›PMID 34250400›Full record

Trial reportJCO precision oncology2021

High-Throughput Drug Screening and Multi-Omic Analysis to Guide Individualized Treatment for Multiple Myeloma.

David G Coffey, Andrew J Cowan, Bret DeGraaff, Timothy J Martins, Niall Curley, Damian J Green, Edward N Libby, Rebecca Silbermann, Sylvia Chien, Jin Dai and 4 more

Open access · bronzeAbstract readClinical Trial
In one paragraph

Trial report in JCO precision oncology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
1.8field-weighted citation impact, top 15% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

13 citing papers in PubMed, 16 citations in OpenAlex.

  1. Review
  2. Review
  3. Article
  4. The functional imperative in high-grade glioma.Experimental & molecular medicine · 2026
    Review
  5. Review
  6. Article
  7. Case Report: Application ofFrontiers in oncology · 2025
    Article
  8. Review
  9. Article
  10. Review
  11. Article
  12. Review
  13. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

14 authors at 3 institutions in 1 country.

David G CoffeyClinical Research Division, Fred Hutchinson Cancer Research Center, Seattle, WA.ORCID 0000-0003-3544-8836
Andrew J CowanClinical Research Division, Fred Hutchinson Cancer Research Center, Seattle, WA.
Bret DeGraaffDepartment of Medicine, University of Washington, Seattle, WA.
Timothy J MartinsQuellos High Throughput Screening Core, Institute for Stem Cell and Regenerative Medicine, University of Washington, Seattle, WA.ORCID 0000-0002-2133-7281
Niall CurleyClinical Research Division, Fred Hutchinson Cancer Research Center, Seattle, WA.
Damian J GreenClinical Research Division, Fred Hutchinson Cancer Research Center, Seattle, WA.
Edward N LibbyClinical Research Division, Fred Hutchinson Cancer Research Center, Seattle, WA.
Rebecca SilbermannKnight Cancer Institute, Oregon Health and Science University, Portland, OR.
Sylvia ChienDepartment of Medicine, University of Washington, Seattle, WA.
Jin DaiDepartment of Medicine, University of Washington, Seattle, WA.
Alicia MoralesClinical Research Division, Fred Hutchinson Cancer Research Center, Seattle, WA.
Ted A GooleyClinical Research Division, Fred Hutchinson Cancer Research Center, Seattle, WA.
Edus H WarrenClinical Research Division, Fred Hutchinson Cancer Research Center, Seattle, WA.
Pamela S BeckerClinical Research Division, Fred Hutchinson Cancer Research Center, Seattle, WA.ORCID 0000-0001-6235-9463
University of Washington · USFred Hutch Cancer Center · USOregon Health & Science University · US

Funding

Translational Bioimaging Core Shared ResourceP30CA015704 · NCI · FRED HUTCHINSON CANCER RESEARCH CENTER · PI Eric Collisson · 1985 to 2026
$296.4M
High-Performance Compute Cluster for Comprehensive Cancer and Infectious Diseases ResearchS10OD028685 · OD · FRED HUTCHINSON CANCER RESEARCH CENTER · PI BRADLEY, PHILIP · 2020 to 2020
$2.0M
NCI NIH HHS P30 CA015704NIH HHS S10 OD028685
6 · The paper itself

Abstract

Multiple myeloma (MM) is a genetically heterogeneous malignancy characterized by variable treatment responses. Although numerous drugs have been approved in recent years, the ability to predict treatment response and tailor individual therapy is limited by the absence of robust predictive biomarkers. The goal of this clinical trial was to use ex vivo, high-throughput screening (HTS) of 170 compounds to predict response among patients with relapsed or refractory MM and inform the next treatment decisions. Additionally, we integrated HTS with multi-omic analysis to uncover novel associations between in vitro drug sensitivity and gene expression and mutation profiles. MATERIALS AND

methodsTwenty-five patients with relapsed or refractory MM underwent a screening bone marrow or soft tissue biopsy. Sixteen patients were found to have sufficient plasma cells for HTS. Targeted next-generation sequencing was performed on plasma cell-free DNA from all patients who underwent HTS. RNA and whole-exome sequencing of bone marrow plasma cells were performed on eight and seven patients, respectively.

resultsResults of HTS testing were made available to treating physicians within a median of 5 days from the biopsy. An actionable treatment result was identified in all 16 patients examined. Among the 13 patients who received assay-guided therapy, 92% achieved stable disease or better. The expression of 105 genes and mutations in 12 genes correlated with in vitro cytotoxicity.

conclusionIn patients with relapsed or refractory MM, we demonstrate the feasibility of ex vivo drug sensitivity testing on isolated plasma cells from patient bone marrow biopsies or extramedullary plasmacytomas to inform the next line of therapy.

Indexed as

High-Throughput Screening AssaysAgedDrug Evaluation, PreclinicalFemaleHumansMaleMiddle AgedMultiple MyelomaTreatment Outcome

Identifiers

PMID34250400
PMCPMC8232547
OpenAlexW3148884749

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.