Evidence map›Paper›PMID 34439345›Full record

ReviewCancers2021

Technological Advances in Tumor-On-Chip Technology: From Bench to Bedside.

Santa Bērziņa, Alexandra Harrison, Valérie Taly, Wenjin Xiao

Abstract readReview
In one paragraph

Review in Cancers, 2021. 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. Organs on chips: fundamentals, bioengineering and applications.Journal of artificial organs : the official journal of the Japanese Society for Artificial Organs · 2025
    Review
  3. Review
  4. Breaking the mold: 3D cell cultures reshaping the future of cancer research.Frontiers in cell and developmental biology · 2024
    Review
  5. Article
  6. Review
  7. Article
  8. Article
  9. Review
  10. Review
  11. Review
  12. Frontiers in oncology · 2022
    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

4 authors.

Santa BērziņaCentre de Recherche des Cordeliers, INSERM, CNRS SNC 5096, Sorbonne Université, Université de Paris, 75006 Paris, France.
Alexandra HarrisonCentre de Recherche des Cordeliers, INSERM, CNRS SNC 5096, Sorbonne Université, Université de Paris, 75006 Paris, France.
Valérie TalyCentre de Recherche des Cordeliers, INSERM, CNRS SNC 5096, Sorbonne Université, Université de Paris, 75006 Paris, France.
Wenjin XiaoCentre de Recherche des Cordeliers, INSERM, CNRS SNC 5096, Sorbonne Université, Université de Paris, 75006 Paris, France.

Funding

EUR G.E.N.E ANR-17-EURE-0013ITMO Cancer AVIESAN (Alliance Nationale pour les Sciences de la Vie et de la Santé, National Alliance for Life Sciences & Health) N°19CS006-00, COCAHEMSICLELigue Nationale Contre le Cancer (LNCC) EL2016.LNCC/VaTSIRIC CARPEM (CAncer Research and PErsonalized Medicine) INCa-DGOS-Inserm_12561Université de Paris ANR-18-IDEX-0001
6 · The paper itself

Abstract

Tumor-on-chip technology has cemented its importance as an in vitro tumor model for cancer research. Its ability to recapitulate different elements of the in vivo tumor microenvironment makes it promising for translational medicine, with potential application in enabling personalized anti-cancer therapies. Here, we provide an overview of the current technological advances for tumor-on-chip generation. To further elevate the functionalities of the technology, these approaches need to be coupled with effective analysis tools. This aspect of tumor-on-chip technology is often neglected in the current literature. We address this shortcoming by reviewing state-of-the-art on-chip analysis tools for microfluidic tumor models. Lastly, we focus on the current progress in tumor-on-chip devices using patient-derived samples and evaluate their potential for clinical research and personalized medicine applications.

Indexed as

cancer researchon-chip analysispersonalized medicinetumor modeltumor-on-chip

Identifiers

PMID34439345
PMCPMC8394443

What Socratic 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 Socratic graph.