Evidence map›Paper›PMID 32569379›Full record

ArticleBlood advances2020

Ex vivo drug screening defines novel drug sensitivity patterns for informing personalized therapy in myeloid neoplasms.

Michael A Spinner, Alexey Aleshin, Marianne T Santaguida, Steven A Schaffert, James L Zehnder, A Scott Patterson, Christos Gekas, Diane Heiser, Peter L Greenberg

Open access · goldAbstract read
In one paragraph

Article in Blood advances, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed
3.2field-weighted citation impact, top 7% 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

23 citing papers in PubMed, 41 citations in OpenAlex.

  1. Review
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  13. Haematologica · 2023
    Article
  14. Article
  15. Cancer: slaying the nine-headed Hydra.Annals of oncology : official journal of the European Society for Medical Oncology · 2023
    Review
  16. Sensitivity of canine hematological cancers to BH3 mimetics.Journal of veterinary internal medicine · 2023
    Article
  17. Article
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  19. Review
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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

9 authors at 2 institutions in 1 country.

Michael A SpinnerDivision of Hematology, Department of Medicine, Stanford University Medical Center, Stanford, CA; and.
Alexey AleshinDivision of Hematology, Department of Medicine, Stanford University Medical Center, Stanford, CA; and.
Marianne T SantaguidaNotable Labs, Foster City, CA.
Steven A SchaffertNotable Labs, Foster City, CA.
James L ZehnderDivision of Hematology, Department of Medicine, Stanford University Medical Center, Stanford, CA; and.
A Scott PattersonNotable Labs, Foster City, CA.
Christos GekasNotable Labs, Foster City, CA.
Diane HeiserNotable Labs, Foster City, CA.
Peter L GreenbergDivision of Hematology, Department of Medicine, Stanford University Medical Center, Stanford, CA; and.
Notable Labs (United States) · USStanford Medicine · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Precision medicine approaches such as ex vivo drug sensitivity screening (DSS) are appealing to inform rational drug selection in myelodysplastic syndromes (MDSs) and acute myeloid leukemia, given their marked biologic heterogeneity. We evaluated a novel, fully automated ex vivo DSS platform that uses high-throughput flow cytometry in 54 patients with newly diagnosed or treatment-refractory myeloid neoplasms to evaluate sensitivity (blast cytotoxicity and differentiation) to 74 US Food and Drug Administration-approved or investigational drugs and 36 drug combinations. After piloting the platform in 33 patients, we conducted a prospective feasibility study enrolling 21 patients refractory to hypomethylating agents (HMAs) to determine whether this assay could be performed within a clinically actionable time frame and could accurately predict clinical responses in vivo. When assayed for cytotoxicity, ex vivo drug sensitivity patterns were heterogeneous, but they defined distinct patient clusters with differential sensitivity to HMAs, anthracyclines, histone deacetylase inhibitors, and kinase inhibitors (P < .001 among clusters) and demonstrated synergy between HMAs and venetoclax (P < .01 for combinations vs single agents). In our feasibility study, ex vivo DSS results were available at a median of 15 days after bone marrow biopsy, and they informed personalized therapy, which frequently included venetoclax combinations, kinase inhibitors, differentiative agents, and androgens. In 21 patients with available ex vivo and in vivo clinical response data, the DSS platform had a positive predictive value of 0.92, negative predictive value of 0.82, and overall accuracy of 0.85. These data demonstrate the utility of this approach for identifying potentially useful and often novel therapeutic drugs for patients with myeloid neoplasms refractory to standard therapies.

Indexed as

Leukemia, Myeloid, AcuteMyelodysplastic SyndromesPharmaceutical PreparationsDrug Evaluation, PreclinicalHumansProspective StudiesUnited StatesPharmaceutical Preparations

Identifiers

PMID32569379
PMCPMC7322964
OpenAlexW3036598834

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.