Evidence map›Paper›PMID 41188965›Full record

ReviewJournal of biological engineering2025

Human preclinical multiple myeloma in vitro models for disease modeling and therapy screening.

Mikayla Ybarra, Jaehun Lee, Yun-Ya Chen, Jianhong Lin, Jianjun Zhao, Chao Ma

Abstract readReview
In one paragraph

Review in Journal of biological engineering, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Review
  2. Review
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

6 authors.

Mikayla YbarraDepartment of Cancer Sciences, Cleveland Clinic Research, Cleveland, OH, 44195, USA.
Jaehun LeeDepartment of Cancer Sciences, Cleveland Clinic Research, Cleveland, OH, 44195, USA.
Yun-Ya ChenDepartment of Cancer Sciences, Cleveland Clinic Research, Cleveland, OH, 44195, USA.
Jianhong LinDepartment of Cancer Sciences, Cleveland Clinic Research, Cleveland, OH, 44195, USA.
Jianjun ZhaoDepartment of Cancer Sciences, Cleveland Clinic Research, Cleveland, OH, 44195, USA.
Chao MaDepartment of Cancer Sciences, Cleveland Clinic Research, Cleveland, OH, 44195, USA. mac7@ccf.org.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Multiple myeloma (MM) is a hematologic malignancy characterized by uncontrolled expansion of malignant plasma cells within the bone marrow microenvironment. While suspension cultures of MM cell lines and murine models have been the cornerstone of research with MM pathogenesis, these conventional systems fail to recapitulate critical aspects of the human tumor microenvironment. Specifically, current models inadequately address key biological questions including mechanisms of drug resistance acquisition, immune evasion strategies, and the role of cellular crosstalk in disease progression. These limitations stem from the absence of physiologically relevant extracellular matrix architecture, lack of primary human stromal and immune cell populations, and inability to model the bone marrow niche with functional vasculature. Three-dimensional (3D) culture platforms have emerged to address these deficiencies by incorporating structural complexity and cellular heterogeneity. However, many existing 3D models remain insufficient for comprehensive MM modeling, as they typically lack integrated human-derived stromal compartments, functional immune surveillance mechanisms, and physiological vascular networks that collectively regulate MM pathobiology. Advanced humanized in vitro models-particularly those incorporating patient-derived cells within immunocompetent microenvironments-are needed to bridge the translational gap between preclinical findings and clinical outcomes. We analyze the evolution from conventional in suspension cultures to current organotypic systems while examining their applications in mechanistic studies and capabilities in therapeutic screening. Lastly, we outline the emerging challenges in model development and propose future research directions, with particular emphasis on establishing fully humanized, immunocompetent platforms that authentically reproduce the bone marrow ecosystem for predictive drug testing.

Indexed as

3D cell cultureDisease modelingMultiple myelomaOrgan-on-a-chipTherapy testing

Identifiers

PMID41188965
PMCPMC12584223

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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.