Evidence map›Paper›PMID 38374206›Full record

ArticleNPJ precision oncology2024

Delineating functional and molecular impact of ex vivo sample handling in precision medicine.

Nona Struyf, Albin Österroos, Mattias Vesterlund, Cornelia Arnroth, Tojo James, Stephanie Sunandar, Georgios Mermelekas, Anna Bohlin, Kerstin Hamberg Levedahl, Sofia Bengtzén and 8 more

Open access · goldAbstract read
In one paragraph

Article in NPJ precision oncology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
1.6field-weighted citation impact, top 18% 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

11 citing papers in PubMed, 7 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

18 authors at 5 institutions in 2 countries.

Nona StruyfDepartment of Oncology-Pathology, Karolinska Institutet, Science for Life Laboratory, Stockholm, Sweden. nona.struyf@ki.se.ORCID http://orcid.org/0000-0002-6975-0753
Albin ÖsterroosDepartment of Medical Sciences, Uppsala University Hospital, Uppsala, Sweden.ORCID http://orcid.org/0000-0001-8749-7299
Mattias VesterlundDepartment of Oncology-Pathology, Karolinska Institutet, Science for Life Laboratory, Stockholm, Sweden.ORCID http://orcid.org/0000-0001-9471-6592
Cornelia ArnrothDepartment of Oncology-Pathology, Karolinska Institutet, Science for Life Laboratory, Stockholm, Sweden.
Tojo JamesDepartment of Oncology-Pathology, Karolinska Institutet, Science for Life Laboratory, Stockholm, Sweden.
Stephanie SunandarDepartment of Oncology-Pathology, Karolinska Institutet, Science for Life Laboratory, Stockholm, Sweden.
Georgios MermelekasDepartment of Oncology-Pathology, Karolinska Institutet, Science for Life Laboratory, Stockholm, Sweden.
Anna BohlinDepartment of Medicine, Center for Hematology and Regenerative Medicine, Karolinska Institute, Stockholm, Sweden.
Kerstin Hamberg LevedahlDepartment of Public Health and Caring Sciences, Uppsala University, Uppsala, Sweden.
Sofia BengtzénDepartment of Medicine, Center for Hematology and Regenerative Medicine, Karolinska Institute, Stockholm, Sweden.
Rozbeh JafariDepartment of Oncology-Pathology, Karolinska Institutet, Science for Life Laboratory, Stockholm, Sweden.ORCID http://orcid.org/0000-0002-3396-4709
Lukas M OrreDepartment of Oncology-Pathology, Karolinska Institutet, Science for Life Laboratory, Stockholm, Sweden.ORCID http://orcid.org/0000-0002-0384-1003
Janne LehtiöDepartment of Oncology-Pathology, Karolinska Institutet, Science for Life Laboratory, Stockholm, Sweden.
Sören LehmannDepartment of Medical Sciences, Uppsala University Hospital, Uppsala, Sweden.
Päivi ÖstlingDepartment of Oncology-Pathology, Karolinska Institutet, Science for Life Laboratory, Stockholm, Sweden.
Olli KallioniemiDepartment of Oncology-Pathology, Karolinska Institutet, Science for Life Laboratory, Stockholm, Sweden.
Brinton Seashore-LudlowDepartment of Oncology-Pathology, Karolinska Institutet, Science for Life Laboratory, Stockholm, Sweden.ORCID http://orcid.org/0000-0001-8658-5967
Tom ErkersDepartment of Oncology-Pathology, Karolinska Institutet, Science for Life Laboratory, Stockholm, Sweden. tom.erkers@ki.se.ORCID http://orcid.org/0000-0002-2754-6287
Science for Life Laboratory · SEKarolinska Institutet · SEUppsala University Hospital · SEUniversity of Helsinki · FIUppsala University · SE

Funding

Barncancerfonden (Swedish Childhood Cancer Foundation) TJ2021-0080Karolinska Institutet (Karolinska Institute) 2018-02283Karolinska Institutet (Karolinska Institute) 2020-01091Knut och Alice Wallenbergs Stiftelse (Knut and Alice Wallenberg Foundation) 2015.0291Stiftelsen för Strategisk Forskning (Swedish Foundation for Strategic Research) SB16-0058Vetenskapsrådet (Swedish Research Council) 2017-06095
6 · The paper itself

Abstract

Consistent handling of samples is crucial for achieving reproducible molecular and functional testing results in translational research. Here, we used 229 acute myeloid leukemia (AML) patient samples to assess the impact of sample handling on high-throughput functional drug testing, mass spectrometry-based proteomics, and flow cytometry. Our data revealed novel and previously described changes in cell phenotype and drug response dependent on sample biobanking. Specifically, myeloid cells with a CD117 (c-KIT) positive phenotype decreased after biobanking, potentially distorting cell population representations and affecting drugs targeting these cells. Additionally, highly granular AML cell numbers decreased after freezing. Secondly, protein expression levels, as well as sensitivity to drugs targeting cell proliferation, metabolism, tyrosine kinases (e.g., JAK, KIT, FLT3), and BH3 mimetics were notably affected by biobanking. Moreover, drug response profiles of paired fresh and frozen samples showed that freezing samples can lead to systematic errors in drug sensitivity scores. While a high correlation between fresh and frozen for the entire drug library was observed, freezing cells had a considerable impact at an individual level, which could influence outcomes in translational studies. Our study highlights conditions where standardization is needed to improve reproducibility, and where validation of data generated from biobanked cohorts may be particularly important.

Identifiers

PMID38374206
PMCPMC10876937
OpenAlexW4391930315

What Socratic holds

Textmetadata
LicenceCC BY
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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 Socratic graph.