Evidence map›Paper›PMID 41789349›Full record

ArticleAPL bioengineering2026

Fat promotes growth and invasion in a 3D microfluidic tumor model of triple-negative breast cancer.

Maryam Kohram, Carolina Trenado-Yuste, Molly C Brennan-Smith, Evelyn S Navarro Salazar, Pengfei Zhang, Jasmine E Hao, Xincheng Xu, Bharvi Chavre, William Oh, Sherry X Zhang and 4 more

Abstract read
In one paragraph

Article in APL bioengineering, 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

5 · Who and what money

Authors and funding

14 authors.

Molly C Brennan-SmithDepartment of Chemical and Biological Engineering, Princeton University, Princeton, New Jersey 08544, USA.ORCID https://orcid.org/0000-0002-5552-7286
Evelyn S Navarro SalazarDepartment of Chemical and Biological Engineering, Princeton University, Princeton, New Jersey 08544, USA.ORCID https://orcid.org/0009-0000-7046-9304
Pengfei ZhangDepartment of Chemical and Biological Engineering, Princeton University, Princeton, New Jersey 08544, USA.ORCID https://orcid.org/0000-0002-8578-8305
Jasmine E HaoDepartment of Molecular Biology, Princeton University, Princeton, New Jersey 08544, USA.ORCID https://orcid.org/0000-0002-8146-2244
Xincheng Xu
Bharvi ChavreDepartment of Chemistry, Princeton University, Princeton, New Jersey 08544, USA.ORCID https://orcid.org/0000-0002-1258-8417
William OhLudwig Institute for Cancer Research, Princeton University, Princeton, New Jersey 08544, USA.ORCID https://orcid.org/0000-0002-7386-8025
Sherry X ZhangDepartment of Chemical and Biological Engineering, Princeton University, Princeton, New Jersey 08544, USA.
Susan E LeggettDepartment of Chemical and Biological Engineering, Princeton University, Princeton, New Jersey 08544, USA.ORCID https://orcid.org/0000-0001-7912-8987

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Diet influences the levels of small molecules that circulate in plasma and interstitial fluid, altering the biochemical composition of the tumor microenvironment (TME). These circulating nutrients have been associated with how tumors grow and respond to treatment, but it remains difficult to parse their direct effects on cancer cells. Here, we combine a three-dimensional (3D) microfluidic tumor model with physiologically relevant culture media to investigate how concentrations of circulating nutrients influence tumor growth, cancer cell invasion, and overall tumor metabolism. Human triple-negative breast cancer cells cultured in 2D under media conditions mimicking five different dietary states show no observable differences in proliferation or morphology. Nonetheless, those exposed to high-fat conditions exhibit increased metabolic activity and upregulate genes associated with motility and extracellular matrix remodeling. In the 3D microfluidic model, high-fat conditions accelerate tumor growth and invasion and induce the formation of hollow cavities. Surprisingly, the presence of these cavities does not correlate with an increase in apoptosis or ferroptosis. Instead, RNA-sequencing analysis revealed that high-fat conditions induce the expression of

Identifiers

PMID41789349
PMCPMC12959953

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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.