Evidence map›Paper›PMID 36523963›Full record

ArticleFrontiers in oncology2022

Mutational analysis and protein profiling predict drug sensitivity in multiple myeloma cell lines.

Mariaserena Giliberto, Leonardo Miranda Santana, Toril Holien, Kristine Misund, Sigve Nakken, Daniel Vodak, Eivind Hovig, Leonardo A Meza-Zepeda, Eivind Coward, Anders Waage and 2 more

Open access · goldAbstract read
In one paragraph

Article in Frontiers in oncology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
0.8field-weighted citation impact, top 25% 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

7 citing papers in PubMed, 5 citations in OpenAlex.

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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

12 authors at 3 institutions in 1 country.

Mariaserena GilibertoDepartment of Cancer Immunology, Institute for Cancer Research, Oslo University Hospital, Oslo, Norway.
Leonardo Miranda SantanaDepartment of Cancer Immunology, Institute for Cancer Research, Oslo University Hospital, Oslo, Norway.
Toril HolienDepartment of Clinical and Molecular Medicine, Norwegian University of Science and Technology, Trondheim, Norway.
Kristine MisundDepartment of Clinical and Molecular Medicine, Norwegian University of Science and Technology, Trondheim, Norway.
Sigve NakkenNorwegian Cancer Genomics Consortium, Oslo University Hospital, Oslo, Norway.
Daniel VodakNorwegian Cancer Genomics Consortium, Oslo University Hospital, Oslo, Norway.
Eivind HovigNorwegian Cancer Genomics Consortium, Oslo University Hospital, Oslo, Norway.
Leonardo A Meza-ZepedaNorwegian Cancer Genomics Consortium, Oslo University Hospital, Oslo, Norway.
Eivind CowardDepartment of Clinical and Molecular Medicine, Norwegian University of Science and Technology, Trondheim, Norway.
Anders WaageDepartment of Clinical and Molecular Medicine, Norwegian University of Science and Technology, Trondheim, Norway.
Kjetil TaskénDepartment of Cancer Immunology, Institute for Cancer Research, Oslo University Hospital, Oslo, Norway.
Sigrid S SkånlandDepartment of Cancer Immunology, Institute for Cancer Research, Oslo University Hospital, Oslo, Norway.
Oslo University Hospital · NONorwegian University of Science and Technology · NOOslo Cancer Cluster · NO

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Multiple myeloma (MM) is a heterogeneous disease where cancer-driver mutations and aberrant signaling may lead to disease progression and drug resistance. Drug responses vary greatly, and there is an unmet need for biomarkers that can guide precision cancer medicine in this disease. Methods: To identify potential predictors of drug sensitivity, we applied integrated data from drug sensitivity screening, mutational analysis and functional signaling pathway profiling in 9 cell line models of MM. We studied the sensitivity to 33 targeted drugs and their association with the mutational status of cancer-driver genes and activity level of signaling proteins. Results: We found that sensitivity to mitogen-activated protein kinase kinase 1 (MEK1) and phosphatidylinositol-3 kinase (PI3K) inhibitors correlated with mutations in Discussion: Taken together, this study shows that mutational status and signaling protein profiling might be used in further studies to predict drug sensitivities and identify resistance markers in MM.

Indexed as

drug response biomarkersdrug sensitivity screeningMEKmultiple myelomamutationsPI3Kprecision medicinetargeted therapy

Identifiers

PMID36523963
PMCPMC9745900
OpenAlexW4310251348

What OpenQuestion holds

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LicenceCC BY
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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.