Evidence map›Paper›PMID 39113093›Full record

ArticleStem cell research & therapy2024

iPSC-derived lung and lung cancer organoid model to evaluate cisplatin encapsulated autologous iPSC-derived mesenchymal stromal cell-isolated extracellular vesicles.

Caroline Küstermann, Karīna Narbute, Valērija Movčana, Vadims Parfejevs, Fēlikss Rūmnieks, Pauls Kauķis, Miks Priedols, Rihards Mikilps-Mikgelbs, Marija Mihailova, Santa Andersone and 4 more

Abstract read
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Article in Stem cell research & therapy, 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
–field-weighted citation impact
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.

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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

14 authors.

Caroline KüstermannLatvian Biomedical Research and Study Center, Rātsupītes Iela 1, Riga, 1067, Latvia. caroline.kustermann@biomed.lu.lv.ORCID 0009-0001-1026-8313
Karīna NarbuteLatvian Biomedical Research and Study Center, Rātsupītes Iela 1, Riga, 1067, Latvia.
Valērija MovčanaLatvian Biomedical Research and Study Center, Rātsupītes Iela 1, Riga, 1067, Latvia.
Vadims ParfejevsFaculty of Medicine, University of Latvia, Jelgavas Iela 3, Riga, Latvia.
Fēlikss RūmnieksLatvian Biomedical Research and Study Center, Rātsupītes Iela 1, Riga, 1067, Latvia.
Pauls KauķisLatvian Biomedical Research and Study Center, Rātsupītes Iela 1, Riga, 1067, Latvia.
Miks PriedolsLatvian Biomedical Research and Study Center, Rātsupītes Iela 1, Riga, 1067, Latvia.
Rihards Mikilps-MikgelbsRiga East Clinical University Hospital Center of Tuberculosis and Lung Diseases, Upeslejas, Ropažu Novads, Latvia.
Marija MihailovaIVF Riga Stem Cell Center, Zaļā Iela 1, Rīga, Latvia.
Santa AndersoneIVF Riga Stem Cell Center, Zaļā Iela 1, Rīga, Latvia.
Aigars DzalbsIVF Riga Stem Cell Center, Zaļā Iela 1, Rīga, Latvia.
Cristina Bajo-SantosLatvian Biomedical Research and Study Center, Rātsupītes Iela 1, Riga, 1067, Latvia.
Alvils KramsRiga East Clinical University Hospital Center of Tuberculosis and Lung Diseases, Upeslejas, Ropažu Novads, Latvia.
Arturs AbolsLatvian Biomedical Research and Study Center, Rātsupītes Iela 1, Riga, 1067, Latvia.

Funding

European Regional Development Fund 1.1.1.1/20/A/124
6 · The paper itself

Abstract

backgroundLung cancer remains a leading cause of cancer-related mortality globally. Although recent therapeutic advancements have provided targeted treatment approaches, the development of resistance and systemic toxicity remain primary concerns. Extracellular vesicles (EVs), especially those derived from mesenchymal stromal cells (MSC), have gained attention as promising drug delivery systems, offering biocompatibility and minimal immune responses. Recognizing the limitations of conventional 2D cell culture systems in mimicking the tumor microenvironment, this study aims to describe a proof-of-principle approach for using patient-specific organoid models for both lung cancer and normal lung tissue and the feasibility of employing autologous EVs derived from induced pluripotent stem cell (iPSC)-MSC in personalized medicine approaches.

methodsFirst, we reprogrammed healthy fibroblasts into iPSC. Next, we differentiated patient-derived iPSC into branching lung organoids (BLO) and generated patient-matched lung cancer organoids (LCO) from patient-derived tumor tissue. We show a streamlined process of MSC differentiation from iPSC and EV isolation from iPSC-MSC, encapsulated with 0.07 µg/mL of cytotoxic agent cisplatin and applied to both organoid models. Cytotoxicity of cisplatin and cisplatin-loaded EVs was recorded with LDH and CCK8 tests.

resultsFibroblast-derived iPSC showed a normal karyotype, pluripotency staining, and trilineage differentiation. iPSC-derived BLO showed expression of lung markers, like TMPRSS2 and MUC5A while patient-matched LCO showed expression of Napsin and CK5. Next, we compared the effects of iPSC-MSC derived EVs loaded with cisplatin against empty EVs and cisplatin alone in lung cancer organoid and healthy lung organoid models. As expected, we found a cytotoxic effect when LCO were treated with 20 µg/mL cisplatin. Treatment of LCO and BLO with empty EVs resulted in a cytotoxic effect after 24 h. However, EVs loaded with 0.07 µg/mL cisplatin failed to induce any cytotoxic effect in both organoid models.

conclusionWe report on a proof-of-principle pipeline towards using autologous or allogeneic iPSC-MSC EVs as drug delivery tests for lung cancer in future. However, due to the time and labor-intensive processes, we conclude that this pipeline might not be feasible for personalized approaches at the moment.

Indexed as

CisplatinExtracellular VesiclesInduced Pluripotent Stem CellsLung NeoplasmsMesenchymal Stem CellsOrganoidsCell DifferentiationHumansLungCisplatinCisplatinEVsiPSCLung cancerOrganoids

Identifiers

PMID39113093
PMCPMC11304910

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LicenceCC BY-NC-ND
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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.