Evidence map›Paper›PMID 26704304›Full record

ReviewCancer letters2016

Microfluidics as a new tool in radiation biology.

Jerome Lacombe, Shanna Leslie Phillips, Frederic Zenhausern

Abstract readReview
In one paragraph

Review in Cancer letters, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed, 1 pooled it
–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

16 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Review
  3. Review
  4. Article
  5. Review
  6. Review
  7. Review
  8. Tissue chips as headway model and incitement technology.Synthetic and systems biotechnology · 2025
    Review
  9. Article
  10. Review
  11. Microfluidic-AssistedCyborg and bionic systems (Washington, D.C.) · 2023
    Article
  12. Effect of mechanical forces on cellular response to radiation.Radiotherapy and oncology : journal of the European Society for Therapeutic Radiology and Oncology · 2022
    Review
  13. Article
  14. Review
  15. Article
  16. 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.

Jerome LacombeCenter for Applied NanoBioscience and Medicine, University of Arizona, 145 S. 79th Street, Chandler, AZ 85226, USA. Electronic address: jlacombe@email.arizona.edu.
Shanna Leslie PhillipsCenter for Applied NanoBioscience and Medicine, University of Arizona, 145 S. 79th Street, Chandler, AZ 85226, USA; Translational Genomics Research Institute, 445 N. Fifth Street, Phoenix, AZ 85004, USA.
Frederic ZenhausernCenter for Applied NanoBioscience and Medicine, University of Arizona, 145 S. 79th Street, Chandler, AZ 85226, USA; Translational Genomics Research Institute, 445 N. Fifth Street, Phoenix, AZ 85004, USA; Department of Basic Medical Sciences, College of Medicine Phoenix, 425 N. 5th Street, Phoenix, AZ 85004, USA. Electronic address: fzenhaus@email.arizona.edu.

Funding

Sample Engineering CoreU19AI067773 · NIAID · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI FORNACE, ALBERT J · 2005 to 2024
$105.4M
NIAID NIH HHS U19 AI067773
6 · The paper itself

Abstract

Ionizing radiations interact with molecules at the cellular and molecular levels leading to several biochemical modifications that may be responsible for biological effects on tissue or whole organisms. The study of these changes is difficult because of the complexity of the biological response(s) to radiations and the lack of reliable models able to mimic the whole molecular phenomenon and different communications between the various cell networks, from the cell activation to the macroscopic effect at the tissue or organismal level. Microfluidics, the science and technology of systems that can handle small amounts of fluids in confined and controlled environment, has been an emerging field for several years. Some microfluidic devices, even at early stages of development, may already help radiobiological research by proposing new approaches to study cellular, tissue and total-body behavior upon irradiation. These devices may also be used in clinical biodosimetry since microfluidic technology is frequently developed for integrating complex bioassay chemistries into automated user-friendly, reproducible and sensitive analyses. In this review, we discuss the use, numerous advantages, and possible future of microfluidic technology in the field of radiobiology. We will also examine the disadvantages and required improvements for microfluidics to be fully practical in radiation research and to become an enabling tool for radiobiologists and radiation oncologists.

Indexed as

AnimalsAutomation, LaboratoryBiomarkers, TumorEquipment DesignHumansLab-On-A-Chip DevicesMicrofluidicsNeoplasmsRadiation DosageRadiation OncologyRadiobiologyBiomarkers, TumorBiodosimetry markersCancerMicrofluidicsOrgan-on-a-chipRadiation researchRadiobiological models

Identifiers

PMID26704304
PMCPMC4758360

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.