Evidence map›Paper›PMID 38967485›Full record

ReviewACS biomaterials science & engineering2024

Exploiting Matrix Stiffness to Overcome Drug Resistance.

Hakan Berk Aydin, Altug Ozcelikkale, Ahmet Acar

Abstract readReview
In one paragraph

Review in ACS biomaterials science & engineering, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing 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

12 citing papers in PubMed.

  1. Review
  2. Article
  3. Review
  4. Article
  5. Article
  6. Review
  7. Article
  8. Article
  9. Mechano-Organ-on-Chip for Cancer Research.International journal of molecular sciences · 2026
    Review
  10. Article
  11. Review
  12. 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.

Hakan Berk AydinDepartment of Biological Sciences, Middle East Technical University, 06800, Ankara, Turkey.ORCID 0000-0002-5031-1523
Altug OzcelikkaleDepartment of Mechanical Engineering, Middle East Technical University, 06800, Ankara, Turkey.
Ahmet AcarDepartment of Biological Sciences, Middle East Technical University, 06800, Ankara, Turkey.ORCID 0000-0002-2478-8029

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Drug resistance is arguably one of the biggest challenges facing cancer research today. Understanding the underlying mechanisms of drug resistance in tumor progression and metastasis are essential in developing better treatment modalities. Given the matrix stiffness affecting the mechanotransduction capabilities of cancer cells, characterization of the related signal transduction pathways can provide a better understanding for developing novel therapeutic strategies. In this review, we aimed to summarize the recent advancements in tumor matrix biology in parallel to therapeutic approaches targeting matrix stiffness and its consequences in cellular processes in tumor progression and metastasis. The cellular processes governed by signal transduction pathways and their aberrant activation may result in activating the epithelial-to-mesenchymal transition, cancer stemness, and autophagy, which can be attributed to drug resistance. Developing therapeutic strategies to target these cellular processes in cancer biology will offer novel therapeutic approaches to tailor better personalized treatment modalities for clinical studies.

Indexed as

Drug Resistance, NeoplasmEpithelial-Mesenchymal TransitionExtracellular MatrixMechanotransduction, CellularNeoplasmsAnimalsAntineoplastic AgentsAutophagyHumansSignal TransductionAntineoplastic Agentscancer drug resistanceextracellular matrixmatrix biologymatrix stiffnesstumor microenvironment

Identifiers

PMID38967485
PMCPMC11322920

What OpenQuestion holds

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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.