Evidence map›Paper›PMID 38040674›Full record

ArticleCell death discovery2023

Standardized assays to monitor drug sensitivity in hematologic cancers.

Pilar Ayuda-Durán, Johanne U Hermansen, Mariaserena Giliberto, Yanping Yin, Robert Hanes, Sandra Gordon, Heikki Kuusanmäki, Andrea M Brodersen, Aram N Andersen, Kjetil Taskén and 3 more

Open access · goldAbstract read
In one paragraph

Article in Cell death discovery, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed
4.9field-weighted citation impact, top 5% 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

17 citing papers in PubMed, 17 citations in OpenAlex.

  1. Protein Profiles Predict Treatment Responses to the PI3K Inhibitor Umbralisib in Patients with Chronic Lymphocytic Leukemia.Clinical cancer research : an official journal of the American Association for Cancer Research · 2025
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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

13 authors at 2 institutions in 3 countries.

Pilar Ayuda-DuránDepartment of Molecular Cell Biology, Institute for Cancer Research, Oslo University Hospital, Oslo, Norway.ORCID http://orcid.org/0000-0002-9799-3680
Johanne U HermansenDepartment of Cancer Immunology, Institute for Cancer Research, Oslo University Hospital, Oslo, Norway.ORCID http://orcid.org/0000-0003-3830-2277
Mariaserena GilibertoDepartment of Cancer Immunology, Institute for Cancer Research, Oslo University Hospital, Oslo, Norway.
Yanping YinDepartment of Cancer Immunology, Institute for Cancer Research, Oslo University Hospital, Oslo, Norway.
Robert HanesDepartment of Molecular Cell Biology, Institute for Cancer Research, Oslo University Hospital, Oslo, Norway.ORCID http://orcid.org/0000-0001-6544-2182
Sandra GordonBiotech Research and Innovation Centre (BRIC), University of Copenhagen, Copenhagen, Denmark.ORCID http://orcid.org/0000-0003-0270-8291
Heikki KuusanmäkiBiotech Research and Innovation Centre (BRIC), University of Copenhagen, Copenhagen, Denmark.
Andrea M BrodersenDepartment of Molecular Cell Biology, Institute for Cancer Research, Oslo University Hospital, Oslo, Norway.
Aram N AndersenDepartment of Molecular Cell Biology, Institute for Cancer Research, Oslo University Hospital, Oslo, Norway.
Kjetil TaskénDepartment of Cancer Immunology, Institute for Cancer Research, Oslo University Hospital, Oslo, Norway.ORCID http://orcid.org/0000-0003-2841-4697
Krister WennerbergBiotech Research and Innovation Centre (BRIC), University of Copenhagen, Copenhagen, Denmark.
Jorrit M EnserinkDepartment of Molecular Cell Biology, Institute for Cancer Research, Oslo University Hospital, Oslo, Norway.
Sigrid S SkånlandDepartment of Cancer Immunology, Institute for Cancer Research, Oslo University Hospital, Oslo, Norway. sigrid.skanland@ous-research.no.ORCID http://orcid.org/0000-0003-1630-356X
Oslo University Hospital · NOUniversity of Copenhagen · DK

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The principle of drug sensitivity testing is to expose cancer cells to a library of different drugs and measure its effects on cell viability. Recent technological advances, continuous approval of targeted therapies, and improved cell culture protocols have enhanced the precision and clinical relevance of such screens. Indeed, drug sensitivity testing has proven diagnostically valuable for patients with advanced hematologic cancers. However, different cell types behave differently in culture and therefore require optimized drug screening protocols to ensure that their ex vivo drug sensitivity accurately reflects in vivo drug responses. For example, primary chronic lymphocytic leukemia (CLL) and multiple myeloma (MM) cells require unique microenvironmental stimuli to survive in culture, while this is less the case for acute myeloid leukemia (AML) cells. Here, we present our optimized and validated protocols for culturing and drug screening of primary cells from AML, CLL, and MM patients, and a generic protocol for cell line models. We also discuss drug library designs, reproducibility, and quality controls. We envision that these protocols may serve as community guidelines for the use and interpretation of assays to monitor drug sensitivity in hematologic cancers and thus contribute to standardization. The read-outs may provide insight into tumor biology, identify or confirm treatment resistance and sensitivity in real time, and ultimately guide clinical decision-making.

Identifiers

PMID38040674
PMCPMC10692209
OpenAlexW4389224608

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

Registered trials

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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.