Evidence map›Paper›PMID 39821643›Full record

ArticleAdvanced healthcare materials2025

Engineered Age-Mimetic Breast Cancer Models Reveal Differential Drug Responses in Young and Aged Microenvironments.

Jun Yang, Lauren Hawthorne, Sharon Stack, Brian Blagg, Aktar Ali, Pinar Zorlutuna

Abstract read
In one paragraph

Article in Advanced healthcare materials, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Review
  5. Review
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

6 authors.

Jun YangDepartment of Chemical and Biomolecular Engineering, University of Notre Dame, Notre Dame, IN, 46556, USA.ORCID 0009-0006-5366-4347
Lauren HawthorneDepartment of Aerospace and Mechanical Engineering, University of Notre Dame, Notre Dame, IN, 46556, USA.ORCID 0009-0006-8079-7663
Sharon StackDepartment of Chemistry and Biochemistry, University of Notre Dame, Notre Dame, IN, 46556, USA.
Brian BlaggDepartment of Chemistry and Biochemistry, University of Notre Dame, Notre Dame, IN, 46556, USA.
Aktar AliDepartment of Chemistry and Biochemistry, University of Notre Dame, Notre Dame, IN, 46556, USA.
Pinar ZorlutunaDepartment of Chemical and Biomolecular Engineering, University of Notre Dame, Notre Dame, IN, 46556, USA.ORCID 0000-0002-3122-7553

Funding

Engineered hybrid aging model for disease progressionR01CA275423 · NCI · UNIVERSITY OF NOTRE DAME · PI Pinar Zorlutuna · 2023 to 2026
$1.8M
Interdisciplinary Interface Training ProgramNCI NIH HHS 1R01CA275423-01A1NCI NIH HHS R01 CA275423Walther Cancer Foundation
6 · The paper itself

Abstract

Aging is one of the most significant risk factors for breast cancer. With the growing interest in the alterations of the aging breast tissue microenvironment, it is identified that aging is related to tumorigenesis, invasion, and drug resistance. However, current pre-clinical disease models often neglect the impact of aging and sometimes result in worse clinical outcomes. In this study, aged animal-generated materials are utilized to create and validate a novel age-mimetic breast cancer model that generates an aging microenvironment for cells and alters cells toward a more invasive phenotype found in the aged environment. Furthermore, the age-mimetic models are utilized for 3D breast cancer invasion assessment and high-throughput screening of over 700 drugs in the FDA-approved drug library. 36 potential effective drug targets as well as 34 potential drug targets with different drug responses in different age groups are identified, demonstrating the potential of this age-mimetic breast cancer model for further in-depth breast cancer studies and drug development.

Indexed as

AgingAntineoplastic AgentsBreast NeoplasmsTumor MicroenvironmentAnimalsCell Line, TumorFemaleHumansMiceAntineoplastic Agents3D in vitro modelsagingbreast cancerhigh‐throughput drug screening

Identifiers

PMID39821643
PMCPMC11960616

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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.