Evidence map›Paper›PMID 42835613›Full record

ArticleBioengineering & translational medicine2026

Mechanical fingerprints in breast cancer research: A multimodal experimental approach.

Federica Banche-Niclot, Rosalia Ferraro, Valerio Di Palo, Paola de Paolis, Francesca Taraballi, Sergio Caserta

Abstract read
In one paragraph

Article in Bioengineering & translational medicine, 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

6 authors.

Federica Banche-NiclotCenter for Musculoskeletal Regeneration Houston Methodist Academic Institute Houston Texas USA.ORCID https://orcid.org/0000-0002-5855-4490
Rosalia FerraroDepartment of Chemical, Material and Industrial Production Engineering University of Naples "Federico II" Naples Italy.ORCID https://orcid.org/0000-0003-1443-4160
Valerio Di PaloDepartment of Chemical, Material and Industrial Production Engineering University of Naples "Federico II" Naples Italy.ORCID https://orcid.org/0009-0001-9233-3552
Paola de PaolisDepartment of Chemical, Material and Industrial Production Engineering University of Naples "Federico II" Naples Italy.
Francesca TaraballiCenter for Musculoskeletal Regeneration Houston Methodist Academic Institute Houston Texas USA.ORCID https://orcid.org/0000-0002-4959-1169
Sergio CasertaDepartment of Chemical, Material and Industrial Production Engineering University of Naples "Federico II" Naples Italy.ORCID https://orcid.org/0000-0002-4400-0059

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Breast cancer remains the leading cause of cancer-related mortality among women worldwide. Tumor biomechanics are not merely a symptom: they represent a functional signature with translational relevance in diagnostic, prognostic, and therapeutic resistance. Despite this, few experimental models are engineered to systematically investigate these physical properties across biological systems. Here, this study presents a multimodal biomechanical platform combining engineered 3D breast cancer spheroids with

Indexed as

3D spheroid modelsbreast cancertissue stiffnesstranslational cancer modelstumor biomechanicsviscoelastic properties

Identifiers

PMID42835613
PMCPMC13636252

What OpenQuestion holds

Textmetadata
Read underepoch 390

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.