Evidence map›Paper›PMID 40475465›Full record

ArticlebioRxiv : the preprint server for biology2025

3D Biomimetic Liver Cancer Model: Diethylnitrosamine-Induced Proteomic Dysregulations in Stromal-Epithelial Milieu.

Salmma S Salihah, Bareerah Bibi, Sehrish Khan, Muhammad Tahir, Sana Mahmood, Massoud Vosough, Agnese Razzoli, Simone Sidoli, Asma Gul

Abstract readPreprint
In one paragraph

Article in bioRxiv : the preprint server for biology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

9 authors.

Salmma S SalihahDepartment of Biological Sciences, International Islamic University Islamabad, Pakistan.
Bareerah BibiSchool of Interdisciplinary Engineering & Science (SINES), NUST, Islamabad, Pakistan.
Sehrish KhanDepartment of Biological Sciences, International Islamic University Islamabad, Pakistan.
Muhammad TahirBiomedical Mass Spectrometry and Systems Biology, University of South Denmark, Odense, Denmark.
Sana MahmoodDepartment of Biological Sciences, International Islamic University Islamabad, Pakistan.
Massoud VosoughRoyan Institute for Stem Cell Biology & Regenerative Medicine.
Agnese RazzoliAUSL-IRCCS di Reggio Emilia, Transfusion Medicine Unit, Reggio Emilia, Itlay.
Simone SidoliDepartment of Biochemistry, Albert Einstein College of Medicine, Bronx, NY 10461, United States.
Asma GulDepartment of Biological Sciences, International Islamic University Islamabad, Pakistan.

Funding

Orbitrap Exploris 480 Basic SystemS10OD030286 · OD · ALBERT EINSTEIN COLLEGE OF MEDICINE · PI SIDOLI, SIMONE · 2021 to 2021
$600k
NIH HHS S10 OD030286
6 · The paper itself

Abstract

Hydrogel-based three-dimensional (3D) co-culture systems are emerging as biomimetic platforms that more accurately recapitulate tissue architecture and microenvironmental interactions compared to conventional two-dimensional (2D) cultures. This study introduces an engineered 3D liver-like model to investigate compartment-specific responses to the potent hepatocarcinogen Diethylnitrosamine (DEN), with a focus on early events in carcinogenesis and tumor-stroma interactions. AML12 and 3T3 cell lines were treated with DEN or vehicle either in 2D culture or in 3D hydrogels in four experimental groups: (1) DEN-treated AML12 with vehicle-treated 3T3, (2) DEN-treated 3T3 with vehicle-treated AML12, (3) both cell types DEN-treated, and (4) both vehicle-treated. The cultured recombinants were subjected to proteomic profiling via mass spectrometry, followed by bioinformatics analysis and the results were validated through immunocytochemical staining (ICC). Gene ontology analysis revealed that cytoskeletal, RNA metabolism, and scaffold/adaptor proteins were among the most significantly enriched in 3D versus 2D models. Structural proteins emerged exclusively in mixed 3D co-cultures, reinforcing the organotypic nature of the system. Enriched pathways in 3D included intermediate filament organization, actin dynamics, and focal adhesion-pathways closely associated with liver carcinogenesis. Protein-protein interaction analysis demonstrated maximal network complexity in 3D cultures where both compartments were DEN-exposed. Survival analysis further identified poor-prognosis biomarkers (KRT20, KRT15, KRT14) uniquely enriched in this condition. ICC staining supported the proteomic findings. This organoid-like 3D co-culture model provides a physiologically relevant platform for investigating early-stage liver carcinogenesis and highlights the critical role of stromal-epithelial interactions. Its ability to replicate organ-level complexity and generate clinically relevant proteomic signatures supports its utility in translational cancer research and future drug discovery applications.

Indexed as

3D cell culturecancer modelingHydrogel based modelsLiver CarcinogenesisMass SpectrometryProteomicsStromal-epithelial interactions

Identifiers

PMID40475465
PMCPMC12139896

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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.