Evidence map›Paper›PMID 42351956›Full record

ArticleBioengineering (Basel, Switzerland)2026

Toward More Translational Tumor Models: Breast dECM-Based 3D Systems Capture Native Microenvironmental Cues.

Katherine L Hebert, Jonathan J Savoie, Mackenzie L Hawes, Britney Nguyen, Madison Lee, Marcus A Moody, Sophie R Dietrich, Thomas Cheng, Van H Barnes, Bridgette M Collins-Burow and 6 more

Abstract read
In one paragraph

Article in Bioengineering (Basel, Switzerland), 2026. 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

16 authors.

Katherine L HebertTulane Department of Medicine, Section of Hematology & Oncology, Tulane University Health Science Center, New Orleans, LA 70112, USA.
Jonathan J SavoieDepartment of Biological and Agricultural Engineering, Louisiana State University and Agricultural Center, Baton Rouge, LA 70803, USA.
Mackenzie L HawesTulane Department of Medicine, Section of Hematology & Oncology, Tulane University Health Science Center, New Orleans, LA 70112, USA.
Britney NguyenDepartment of Biological and Agricultural Engineering, Louisiana State University and Agricultural Center, Baton Rouge, LA 70803, USA.
Madison LeeDepartment of Biological and Agricultural Engineering, Louisiana State University and Agricultural Center, Baton Rouge, LA 70803, USA.
Marcus A MoodyTulane Department of Medicine, Section of Hematology & Oncology, Tulane University Health Science Center, New Orleans, LA 70112, USA.
Sophie R DietrichTulane Department of Medicine, Section of Hematology & Oncology, Tulane University Health Science Center, New Orleans, LA 70112, USA.
Thomas ChengTulane Department of Medicine, Section of Hematology & Oncology, Tulane University Health Science Center, New Orleans, LA 70112, USA.
Van H BarnesTulane Department of Medicine, Section of Hematology & Oncology, Tulane University Health Science Center, New Orleans, LA 70112, USA.ORCID 0000-0002-1561-0915
Bridgette M Collins-BurowTulane Department of Medicine, Section of Hematology & Oncology, Tulane University Health Science Center, New Orleans, LA 70112, USA.
Alison A SmithDepartment of Clinical Surgery, Louisiana State University School of Medicine, New Orleans, LA 70112, USA.
Frank H LauDepartment of Medicine, Tulane University, New Orleans, LA 70112, USA.
W Todd MonroeDepartment of Biological and Agricultural Engineering, Louisiana State University and Agricultural Center, Baton Rouge, LA 70803, USA.ORCID 0000-0002-7889-3799
Matthew E BurowTulane Department of Medicine, Section of Hematology & Oncology, Tulane University Health Science Center, New Orleans, LA 70112, USA.ORCID 0000-0002-0642-6630
Elizabeth C MartinTulane Department of Medicine, Section of Hematology & Oncology, Tulane University Health Science Center, New Orleans, LA 70112, USA.
Jorge A BelgodereTulane Department of Medicine, Section of Hematology & Oncology, Tulane University Health Science Center, New Orleans, LA 70112, USA.ORCID 0000-0003-3399-4796

Funding

CTSA K12 Program at the University of Alabama at BirminghamK12TR004769 · NCATS · UNIVERSITY OF ALABAMA AT BIRMINGHAM · PI Renee A. Heffron, Lucio Miele · 2024 to 2026
$4.8M
Evaluation of a triple negative matrix signature in tumor progression and resistanceR21CA286211 · NCI · TULANE UNIVERSITY OF LOUISIANA · PI Elizabeth Martin · 2025 to 2026
$393k
Louisiana Cancer Research Center New Investigator AwardNCATS NIH HHS K12 TR004769NCATS NIH HHS K12TR004769-02NCI NIH HHS 1R21CA28621-01NCI NIH HHS R21 CA286211
6 · The paper itself

Abstract

Current 3D tumor models for aggressive breast cancers inadequately recapitulate the native tumor microenvironment (TME), leading to poor translational potential. There is a critical need for models capable of mimicking the unique biochemical signals present in the TME. To address this gap, breast tissue and a patient-derived xenograft tumor were decellularized and processed to produce breast tissue- and tumor-specific decellularized extracellular matrices (dECM). Histology confirmed complete cellular removal while maintaining the ECM. Further, DNA content was significantly reduced while ECM composition (POSTN, COLI, FN1) was retained. Breast dECM was incorporated (0, 5, 10, 20, and 50 µg/mL) with triple-negative breast cancer cell lines to generate spheroids. Imaging and histology demonstrated that cells in low dECM (5 and 10 µg/mL) formed compact singular spheres, while higher dECM concentrations (20 and 50 µg/mL) resulted in cells concentrated on the outer edge of the sphere and irregular sphere circularity. RNA-sequencing of MDA-MB-231 dECM spheres demonstrated that gene changes were mediated by both the inclusion of dECM and its composition. High-density tumor dECM upregulated genes associated with metastasis, while high-density breast dECM enhanced tumor suppressors and anti-metastasis genes. These findings indicate that dECM provides physiological cues in 3D tumor models by incorporating TME.

Indexed as

3D tumor modelbreast adiposedecellularized tumorextracellular matrixnew approach methodstriple-negative breast cancer

Identifiers

PMID42351956
PMCPMC13295492

What OpenQuestion holds

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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.