Evidence map›Paper›PMID 35760991›Full record

ReviewAdvances in experimental medicine and biology2022

Biomaterials for Mimicking and Modelling Tumor Microenvironment.

Rupambika Das, Javier G Fernandez

Abstract readReview
PubMed Publisher
In one paragraph

Review in Advances in experimental medicine and biology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
4.5field-weighted citation impact, top 5% 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

2 citing papers in PubMed, 7 citations in OpenAlex.

  1. Review
  2. 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

2 authors at 2 institutions in 2 countries.

Rupambika DasThe Francis Crick Institute, London, UK.
Javier G FernandezSingapore University of Technology and Design, Singapore, Singapore. javier.fernandez@sutd.edu.sg.
Singapore University of Technology and Design · SGThe Francis Crick Institute · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This chapter summarizes the current biomaterials and associated technologies used to mimic and characterize the tumor microenvironment (TME) for developing preclinical therapeutics. Research in conventional 2D cancer models systematically fails to provide physiological significance due to their discrepancy with diseased tissue's native complexity and dynamic nature. The recent developments in biomaterials and microfabrication have enabled the popularization of 3D models, displacing the traditional use of Petri dishes and microscope slides to bioprinters or microfluidic devices. These technologies allow us to gather large amounts of time-dependent information on tissue-tissue, tissue-cell, and cell-cell interactions, fluid flows, and biomechanical cues at the cellular level that were inaccessible by traditional methods. In addition, the wave of new tools producing unprecedented amounts of data is also triggering a new revolution in the development and use of new tools for analysis, interpretation, and prediction, fueled by the concurrent development of artificial intelligence. Together, all these advances are crystalizing a new era for biomedical engineering characterized by high-throughput experiments and high-quality data.Furthermore, this new detailed understanding of disease and its multifaceted characteristics is enabling the long searched transition to personalized medicine.Here we outline the various biomaterials used to mimic the extracellular matrix (ECM) and redesign the tumor microenvironment, providing a comprehensive overview of cancer research's state of the art and future.

Indexed as

Biocompatible MaterialsTumor MicroenvironmentArtificial IntelligenceExtracellular MatrixLab-On-A-Chip DevicesBiocompatible Materials3D modelsBiomaterialsCancerExtra cellular matrix (ECM)MicrofluidicsTumor micro environment (TME)

Identifiers

PMID35760991
OpenAlexW4286841920

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.