Evidence mapPaperPMID 39791739Full record

ReviewCells2025

In Vitro 3D Models of Haematological Malignancies: Current Trends and the Road Ahead?

Carlotta Mattioda, Claudia Voena, Gianluca Ciardelli, Clara Mattu

Abstract readReview
In one paragraph

Review in Cells, 2025. 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
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

7 citing papers in PubMed.

  1. Review
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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

4 authors.

Carlotta MattiodaDIMEAS, Politecnico di Torino, C.so Duca degli Abruzzi 24, 10129 Torino, Italy.ORCID 0000-0001-6483-1469
Claudia VoenaDepartment of Molecular Biotechnology and Health Sciences, Molecular Biotechnology Center, University of Torino, 10126 Torino, Italy.ORCID 0000-0002-1324-1431
Gianluca CiardelliDIMEAS, Politecnico di Torino, C.so Duca degli Abruzzi 24, 10129 Torino, Italy.ORCID 0000-0003-0199-1427
Clara MattuDIMEAS, Politecnico di Torino, C.so Duca degli Abruzzi 24, 10129 Torino, Italy.ORCID 0000-0002-3969-8771

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Haematological malignancies comprise a diverse group of life-threatening systemic diseases, including leukaemia, lymphoma, and multiple myeloma. Currently available therapies, including chemotherapy, immunotherapy, and CAR-T cells, are often associated with important side effects and with the development of drug resistance and, consequently, disease relapse. In the last decades, it was largely demonstrated that the tumor microenvironment significantly affects cancer cell proliferation and tumor response to treatment. The development of biomimetic, in vitro models may promote the investigation of the interactions between cancer cells and the tumor microenvironment and may help to better understand the mechanisms leading to drug resistance. Although advanced in vitro models have been largely explored in the field of solid tumors, due to the complex nature of the blood cancer tumor microenvironment, the mimicking of haematological malignancies mostly relies on simpler systems, often limited to two-dimensional cell culture, which intrinsically excludes the microenvironmental niche, or to ethically debated animal models. This review aims at reporting an updated overview of state-of-the-art hematological malignancies 3D in vitro models, emphasizing the key features and limitations of existing systems to inspire further research in this underexplored field.

Indexed as

Hematologic NeoplasmsTumor MicroenvironmentAnimalsCell Culture Techniques, Three DimensionalHumansModels, Biologicalhaematological malignanciesin vitro modelstumor microenvironment

Identifiers

PMID39791739
PMCPMC11720277

What Socratic holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.