Evidence map›Paper›PMID 34837846›Full record

ArticleTranslational oncology2022

High-throughput ex vivo drug testing identifies potential drugs and drug combinations for NRAS-positive malignant melanoma.

Laura Kohtamäki, Mariliina Arjama, Siru Mäkelä, Philipp Ianevski, Katja Välimäki, Susanna Juteau, Suvi Ilmonen, Daniela Ungureanu, Olli Kallioniemi, Astrid Murumägi and 1 more

Open access · goldAbstract read
In one paragraph

Article in Translational oncology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.5field-weighted citation impact, top 37% 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

4 citing papers in PubMed, 7 citations in OpenAlex.

  1. The functional imperative in high-grade glioma.Experimental & molecular medicine · 2026
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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 3 institutions in 2 countries.

Laura KohtamäkiHelsinki University Hospital, Comprehensive Cancer Center, Department of Oncology, Helsinki and University of Helsinki, Finland. Electronic address: laura.kohtamaki@hus.fi.
Mariliina ArjamaInstitute for Molecular Medicine Finland (FIMM), Helsinki Institute of Life Science (HiLIFE), Helsinki, Finland and University of Helsinki, Finland.
Siru MäkeläHelsinki University Hospital, Comprehensive Cancer Center, Department of Oncology, Helsinki and University of Helsinki, Finland.
Philipp IanevskiInstitute for Molecular Medicine Finland (FIMM), Helsinki Institute of Life Science (HiLIFE), Helsinki, Finland and University of Helsinki, Finland.
Katja VälimäkiInstitute for Molecular Medicine Finland (FIMM), Helsinki Institute of Life Science (HiLIFE), Helsinki, Finland and University of Helsinki, Finland.
Susanna JuteauDepartment of Pathology, University of Helsinki and Helsinki University Hospital, Helsinki, Finland.
Suvi IlmonenHelsinki University Hospital, Department of Surgery, Helsinki and University of Helsinki, Finland.
Daniela UngureanuApplied Tumor Genomics Research Program, Research Programs Unit, University of Helsinki, Helsinki, Finland.
Olli KallioniemiInstitute for Molecular Medicine Finland (FIMM), Helsinki Institute of Life Science (HiLIFE), Helsinki, Finland and University of Helsinki, Finland; Science for Life Laboratory (SciLifeLab), Department of Oncology and Pathology, Karolinska Institutet, Sweden.
Astrid MurumägiInstitute for Molecular Medicine Finland (FIMM), Helsinki Institute of Life Science (HiLIFE), Helsinki, Finland and University of Helsinki, Finland. Electronic address: astrid.murumagi@helsinki.fi.
Micaela HernbergHelsinki University Hospital, Comprehensive Cancer Center, Department of Oncology, Helsinki and University of Helsinki, Finland.
Institute for Molecular Medicine Finland · FIUniversity of Helsinki · FIHelsinki University Hospital · FI

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Therapy options for patients with metastatic melanoma (MM) have considerably improved over the past decade. However, many patients still need effective therapy after unsuccessful immunotherapy, especially patients with BRAF-negative tumors who lack the option of targeted treatment second line. Therefore, the elucidation of efficient and personalized therapy options for these patients is required. In this study, three patient-derived cancer cells (PDCs) were established from NRAS Q61-positive MM patients. The response of PDCs and five established melanoma cell lines (two NRAS-positive, one wild type, and two BRAF V600-positive) was evaluated toward a panel of 527 oncology drugs using high-throughput drug sensitivity and resistance testing. The PDCs and cell lines displayed strong responses to MAPK inhibitors, as expected. Additionally, the PDCs and cell lines were responsive to PI3K/mTOR, mTOR, and PLK1 inhibitors among other effective drugs currently undergoing clinical trials. Combinations with a MEK inhibitor were tested with other targeted agents to identify effective synergies. MEK inhibitor showed synergy with multikinase inhibitor ponatinib, ABL inhibitor nilotinib, PI3K/mTOR inhibitor pictilisib, and pan-RAF inhibitor LY3009120. The application of the patients' cancer cells for functional drug testing ex vivo is one step further in the process of identifying potential agents and agent combinations to personalize treatment for patients with MM. Our preliminary study results suggest that this approach has the potential for larger-scale drug testing and personalized treatment applications in our expansion trial. Our results show that drug sensitivity and resistance testing may be implementable in the treatment planning of patients with MM.

Indexed as

Drug testingKinase inhibitorsMalignant melanomaNRASPersonalized therapyTargeted therapy

Identifiers

PMID34837846
PMCPMC8633005
OpenAlexW3216696216

What OpenQuestion holds

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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.