Evidence map›Paper›PMID 38471128›Full record

ArticleAdvanced healthcare materials2024

A Self-Assembled 3D Model Demonstrates How Stiffness Educates Tumor Cell Phenotypes and Therapy Resistance in Pancreatic Cancer.

Ying Liu, Babatunde O Okesola, David Osuna de la Peña, Weiqi Li, Meng-Lay Lin, Sara Trabulo, Marianthi Tatari, Rita T Lawlor, Aldo Scarpa, Wen Wang and 5 more

Open access · hybridAbstract read
In one paragraph

Article in Advanced healthcare materials, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed
7.5field-weighted citation impact, top 2% 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

21 citing papers in PubMed, 23 citations in OpenAlex.

  1. Article
  2. Review
  3. Review
  4. Review
  5. Review
  6. Article
  7. Article
  8. Mechano-Organ-on-Chip for Cancer Research.International journal of molecular sciences · 2026
    Review
  9. Review
  10. Review
  11. Article
  12. Article
  13. Review
  14. Review
  15. Article
  16. Article
  17. Review
  18. Article
  19. Review
  20. 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

15 authors at 4 institutions in 4 countries.

Ying LiuBarts Cancer Institute, Queen Mary University of London, London, EC1M 6BQ, UK.
Babatunde O OkesolaSchool of Life Sciences, Faculty of Medicine and Health Sciences, University of Nottingham, Nottingham, NG7 2RD, UK.
David Osuna de la PeñaBarts Cancer Institute, Queen Mary University of London, London, EC1M 6BQ, UK.
Weiqi LiSchool of Engineering and Materials Science, Queen Mary University of London, London, E1 4NS, UK.
Meng-Lay LinBarts Cancer Institute, Queen Mary University of London, London, EC1M 6BQ, UK.
Sara TrabuloBarts Cancer Institute, Queen Mary University of London, London, EC1M 6BQ, UK.
Marianthi TatariBarts Cancer Institute, Queen Mary University of London, London, EC1M 6BQ, UK.
Rita T LawlorDepartment of Diagnostics and Public Health, Section of Pathology, University of Verona, Verona, 37134, Italy.
Aldo ScarpaDepartment of Diagnostics and Public Health, Section of Pathology, University of Verona, Verona, 37134, Italy.
Wen WangSchool of Engineering and Materials Science, Queen Mary University of London, London, E1 4NS, UK.
Martin KnightCentre for Bioengineering, School of Engineering and Materials Science, Queen Mary University of London, London, E1 4NS, UK.
Daniela LoessnerBarts Cancer Institute, Queen Mary University of London, London, EC1M 6BQ, UK.
Christopher HeeschenPancreatic Cancer Heterogeneity, Candiolo Cancer Institute - FPO - IRCCS, Candiolo (TO), 10060, Italy.ORCID 0000-0002-1158-8554
Alvaro MataSchool of Pharmacy, University of Nottingham, University Park, Nottingham, NG7 2RD, UK.ORCID 0000-0002-6739-9111
Oliver M T PearceBarts Cancer Institute, Queen Mary University of London, London, EC1M 6BQ, UK.ORCID 0000-0003-3953-1629
Queen Mary University of London · GBUniversity of Nottingham · GBUniversity of Verona · ITShanghai Jiao Tong University · CN

Funding

Associazione Italiana Ricerca Cancro IG 26343Biotechnology and Biological Sciences Research Council BB/M009513/1Cancer Research UK A27947European Research Council Pa-CSC233460European Research Council STROFUNSCAFFFondazione AIRC per la ricerca sul cancro (IG 2023) 28933Fondazione del Piemonte per l'Oncologia - IRCCS PTCRC-Intra2021Fondazione Italiana Malattie Pancreas - Ministero Salute FIMP_CUP J37G22000230001Medical Research Council MR/R015651/1Nottingham Research Fellowship A7X207The European Community's Seventh Framework Programme (FP7/2007-2013) under grant agreement n° 602783 CAM-PaC
6 · The paper itself

Abstract

Pancreatic ductal adenocarcinoma (PDAC) is characterized by a dense and stiff extracellular matrix (ECM) associated with tumor progression and therapy resistance. To further the understanding of how stiffening of the tumor microenvironment (TME) contributes to aggressiveness, a three-dimensional (3D) self-assembling hydrogel disease model is developed based on peptide amphiphiles (PAs, PA-E3Y) designed to tailor stiffness. The model displays nanofibrous architectures reminiscent of native TME and enables the study of the invasive behavior of PDAC cells. Enhanced tuneability of stiffness is demonstrated by interacting thermally annealed aqueous solutions of PA-E3Y (PA-E3Y

Indexed as

Drug Resistance, NeoplasmEpithelial-Mesenchymal TransitionExtracellular MatrixHydrogelsNeoplastic Stem CellsPancreatic NeoplasmsTumor MicroenvironmentCarcinoma, Pancreatic DuctalCell Line, TumorHumansPeptidesPhenotypeReceptors, CXCR4HydrogelsPeptidesReceptors, CXCR43D disease modeldrug resistancepancreatic cancerpeptide amphiphileself‐assembling hydrogelstumor microenvironmenttunable stiffness

Identifiers

PMID38471128
PMCPMC11468796
OpenAlexW4392686302

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.