Evidence map›Paper›PMID 41579220›Full record

ReviewCancer metastasis reviews2026

Engineered bone matrix models for understanding breast cancer skeletal metastasis.

Kylie M Persson, Matthew A Whitman, Claudia Fischbach

Abstract readReview
In one paragraph

Review in Cancer metastasis reviews, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Review
  2. Review
  3. 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

3 authors.

Kylie M PerssonMeinig School of Biomedical Engineering, Cornell University, Ithaca, NY, USA.ORCID 0000-0003-0037-4486
Matthew A WhitmanMeinig School of Biomedical Engineering, Cornell University, Ithaca, NY, USA.ORCID 0000-0002-5399-5318
Claudia FischbachMeinig School of Biomedical Engineering, Cornell University, Ithaca, NY, USA. cf99@cornell.edu.ORCID 0000-0002-9368-0150

Funding

Mechanical properties of adipose tissue and its effect on breast cancerR01CA276392 · NCI · CORNELL UNIVERSITY · PI Claudia Fischbach, Corey O'Hern · 2023 to 2026
$2.1M
Metabolic regulation of exosome biogenesis as a determinant of cancer cell metastasis.R01CA259195 · NCI · CORNELL UNIVERSITY · PI MARC A ANTONYAK, Claudia Fischbach · 2022 to 2026
$2.1M
National Science Foundation Graduate Research Fellowship Program DGE-1650441National Science Foundation Graduate Research Fellowship Program DGE-2139899NCI NIH HHS R01 CA259195NCI NIH HHS R01CA259195NCI NIH HHS R01 CA276392NIH HHS R01CA276392
6 · The paper itself

Abstract

Bone is the most common site of metastasis in patients with advanced breast cancer and serves as a reservoir from which secondary metastases often originate. While research has traditionally focused on understanding the biochemical signals involved in bone metastasis, bone matrix changes are inextricably linked with its pathogenesis as well. Indeed, decreased bone matrix density is both a symptom of late-stage disease and a risk factor for metastasis formation. Vice versa, raising bone density protects against metastasis. How bone matrix controls metastatic outgrowth and progression and which biochemical or biophysical mechanisms are involved in these processes is poorly understood due in part to limitations in current models of bone metastasis. In this review, we discuss the role of bone matrix in the microenvironmental regulation of bone metastasis and its effect on mechanosignaling and highlight current and future engineered model systems that have the potential to yield new mechanistic insights to advance the clinical prognosis of breast cancer patients.

Indexed as

Bone MatrixBone NeoplasmsBreast NeoplasmsAnimalsFemaleHumansModels, BiologicalTissue EngineeringBone extracellular matrixBone metastasisBreast cancerCollagenMineralizationTissue engineering

Identifiers

PMID41579220
PMCPMC12831698

What OpenQuestion holds

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LicenceCC BY
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Registered trials

None linked

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.