Evidence map›Paper›PMID 39872614›Full record

ArticleIn vitro models2022

Highlight: microfluidic devices for cancer metastasis studies.

Alice Scemama, Sophia Lunetto, Adrian Biddle

Abstract readEditorial
In one paragraph

Article in In vitro models, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Review
  2. Development of anF1000Research · 2023
    Article
  3. 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

3 authors.

Alice ScemamaBlizard Institute, Queen Mary University of London, London, UK.
Sophia LunettoBlizard Institute, Queen Mary University of London, London, UK.
Adrian BiddleBlizard Institute, Queen Mary University of London, London, UK.ORCID 0000-0003-4371-9720

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Whilst cancer is the single most researched disease by number of clinical trials, it remains a leading cause of death in middle- to high-income countries, with metastasis as the prime factor in cancer-associated mortality. The complex, multistep process of metastasis, in which cancer cells disseminate from the primary tumour and home to distant sites, is modulated by an extensive set of factors such as matrix properties, cancer cell plasticity, intercellular communication and oxygen tension. However, traditional treatment approaches have been focussed on the removal of the primary and secondary lesions, rather than interference with the metastatic cascade. Microfluidic platforms enable the deconvolution of the processes involved in metastasis by recapitulating key aspects of the tumour microenvironment in a controlled and reproducible fashion. Herein, we review recent developments in microfluidics for metastasis research and explain how these devices offer exceptional potential towards gaining a deeper understanding of this key aspect of malignancy.

Identifiers

PMID39872614
PMCPMC11756437

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.