Evidence map›Paper›PMID 37055391›Full record

ArticleCell death discovery2023

A tumor microenvironment model of chronic lymphocytic leukemia enables drug sensitivity testing to guide precision medicine.

Johanne U Hermansen, Yanping Yin, Aleksandra Urban, Camilla V Myklebust, Linda Karlsen, Katrine Melvold, Anders A Tveita, Kjetil Taskén, Ludvig A Munthe, Geir E Tjønnfjord and 1 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 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing 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

12 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

11 authors at 1 institution in 1 country.

Johanne U HermansenDepartment 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.
Aleksandra UrbanDepartment of Cancer Immunology, Institute for Cancer Research, Oslo University Hospital, Oslo, Norway.
Camilla V MyklebustK. G. Jebsen Centre for B Cell Malignancies, Institute of Clinical Medicine, University of Oslo, Oslo, Norway.
Linda KarlsenDepartment of Cancer Immunology, Institute for Cancer Research, Oslo University Hospital, Oslo, Norway.
Katrine MelvoldDepartment of Cancer Immunology, Institute for Cancer Research, Oslo University Hospital, Oslo, Norway.
Anders A TveitaK. G. Jebsen Centre for B Cell Malignancies, Institute of Clinical Medicine, University of Oslo, Oslo, Norway.
Kjetil TaskénDepartment of Cancer Immunology, Institute for Cancer Research, Oslo University Hospital, Oslo, Norway.
Ludvig A MuntheK. G. Jebsen Centre for B Cell Malignancies, Institute of Clinical Medicine, University of Oslo, Oslo, Norway.ORCID http://orcid.org/0000-0002-0344-3654
Geir E TjønnfjordK. G. Jebsen Centre for B Cell Malignancies, Institute of Clinical Medicine, University of Oslo, Oslo, Norway.ORCID http://orcid.org/0000-0002-7757-4091
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 · NO

Funding

Norges Forskningsråd (Research Council of Norway) 322898Stiftelsen Kristian Gerhard Jebsen (Kristian Gerhard Jebsen Foundation) 19
6 · The paper itself

Abstract

The microenvironment of chronic lymphocytic leukemia (CLL) cells in lymph nodes, spleen, and bone marrow provides survival, proliferation, and drug resistance signals. Therapies need to be effective in these compartments, and pre-clinical models of CLL that are used to test drug sensitivity must mimic the tumor microenvironment to reflect clinical responses. Ex vivo models have been developed that capture individual or multiple aspects of the CLL microenvironment, but they are not necessarily compatible with high-throughput drug screens. Here, we report on a model that has reasonable associated costs, can be handled in a regularly equipped cell lab, and is compatible with ex vivo functional assays including drug sensitivity screens. The CLL cells are cultured with fibroblasts that express the ligands APRIL, BAFF and CD40L for 24 h. The transient co-culture was shown to support survival of primary CLL cells for at least 13 days, and mimic in vivo drug resistance signals. Ex vivo sensitivity and resistance to the Bcl-2 antagonist venetoclax correlated with in vivo responses. The assay was used to identify treatment vulnerabilities and guide precision medicine for a patient with relapsed CLL. Taken together, the presented CLL microenvironment model enables clinical implementation of functional precision medicine in CLL.

Identifiers

PMID37055391
PMCPMC10101987
OpenAlexW4365452060

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.