Evidence map›Paper›PMID 37693069›Full record

ArticleBioengineering & translational medicine2023

Development and characterization of a recombinant silk network for 3D culture of immortalized and fresh tumor-derived breast cancer cells.

Caterina Collodet, Kelly Blust, Savvini Gkouma, Emmy Ståhl, Xinsong Chen, Johan Hartman, My Hedhammar

Open access · goldAbstract read
In one paragraph

Article in Bioengineering & translational medicine, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
1.0field-weighted citation impact, top 28% of its field
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

6 citing papers in PubMed, 10 citations in OpenAlex.

  1. Review
  2. Biomimetic Scaffold-Based 3D Models for Decoding Cancer Biology and Advancing Therapy.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026
    Review
  3. Review
  4. Article
  5. Advanced Hydrogels in Breast Cancer Therapy.Gels (Basel, Switzerland) · 2024
    Review
  6. Article
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

7 authors at 3 institutions in 1 country.

Caterina CollodetDivision of Protein Technology School of Biotechnology, KTH Royal Institute of Technology Stockholm Sweden.
Kelly BlustDivision of Protein Technology School of Biotechnology, KTH Royal Institute of Technology Stockholm Sweden.
Savvini GkoumaDivision of Protein Technology School of Biotechnology, KTH Royal Institute of Technology Stockholm Sweden.
Emmy StåhlDivision of Protein Technology School of Biotechnology, KTH Royal Institute of Technology Stockholm Sweden.
Xinsong ChenDepartment of Oncology-Pathology Karolinska Institutet Stockholm Sweden.ORCID https://orcid.org/0000-0002-3214-9075
Johan HartmanDepartment of Oncology-Pathology Karolinska Institutet Stockholm Sweden.
My HedhammarDivision of Protein Technology School of Biotechnology, KTH Royal Institute of Technology Stockholm Sweden.ORCID https://orcid.org/0000-0003-0140-419X
KTH Royal Institute of Technology · SEKarolinska Institutet · SEKarolinska University Hospital · SE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Traditional cancer models rely on 2D cell cultures or 3D spheroids, which fail to recapitulate cell-extracellular matrix (ECM) interactions, a key element of tumor development. Existing hydrogel-based 3D alternatives lack mechanical support for cell growth and often suffer from low reproducibility. Here we report a novel strategy to make 3D models of breast cancer using a tissue-like, well-defined network environment based on recombinant spider silk, functionalized with a cell adhesion motif from fibronectin (FN-silk). With this approach, the canonical cancer cells SK-BR-3, MCF-7, and MDA-MB-231, maintain their characteristic expression of markers (i.e., ERα, HER2, and PGR) while developing distinct morphology. Transcriptomic analyses demonstrate how culture in the FN-silk networks modulates the biological processes of cell adhesion and migration while affecting physiological events involved in malignancy, such as inflammation, remodeling of the ECM, and resistance to anticancer drugs. Finally, we show that integration in FN-silk networks promotes the viability of cells obtained from the superficial scraping of patients' breast tumors.

Indexed as

3D modelbreast cancerFN‐silk networkMCF‐7MDA‐MB‐231RNA‐seqSK‐BR‐3

Identifiers

PMID37693069
PMCPMC10487315
OpenAlexW4381712690

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.