Evidence map›Paper›PMID 26835414›Full record

ArticleFrontiers in oncology2015

Applications of High-Throughput Clonogenic Survival Assays in High-LET Particle Microbeams.

Antonios Georgantzoglou, Michael J Merchant, Jonathan C G Jeynes, Natalie Mayhead, Natasha Punia, Rachel E Butler, Rajesh Jena

Abstract read
In one paragraph

Article in Frontiers in oncology, 2015. 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. Article
  2. Article
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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

7 authors.

Antonios GeorgantzoglouDepartment of Oncology, Addenbrooke's Hospital, University of Cambridge , Cambridge , UK.
Michael J MerchantManchester Academic Health Science Centre, Institute of Cancer Sciences, University of Manchester, The Christie NHS Foundations Trust , Manchester , UK.
Jonathan C G JeynesCentre for Biomedical Modelling and Analysis, University of Exeter , Exeter , UK.
Natalie MayheadIon Beam Centre, University of Surrey , Guildford , UK.
Natasha PuniaDepartment of Microbial and Cellular Sciences, University of Surrey , Guildford , UK.
Rachel E ButlerDepartment of Microbial and Cellular Sciences, University of Surrey , Guildford , UK.
Rajesh JenaDepartment of Oncology, Addenbrooke's Hospital, University of Cambridge , Cambridge , UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Charged particle therapy is increasingly becoming a valuable tool in cancer treatment, mainly due to the favorable interaction of particle radiation with matter. Its application is still limited due, in part, to lack of data regarding the radiosensitivity of certain cell lines to this radiation type, especially to high-linear energy transfer (LET) particles. From the earliest days of radiation biology, the clonogenic survival assay has been used to provide radiation response data. This method produces reliable data but it is not optimized for high-throughput microbeam studies with high-LET radiation where high levels of cell killing lead to a very low probability of maintaining cells' clonogenic potential. A new method, therefore, is proposed in this paper, which could potentially allow these experiments to be conducted in a high-throughput fashion. Cells are seeded in special polypropylene dishes and bright-field illumination provides cell visualization. Digital images are obtained and cell detection is applied based on corner detection, generating individual cell targets as x-y points. These points in the dish are then irradiated individually by a micron field size high-LET microbeam. Post-irradiation, time-lapse imaging follows cells' response. All irradiated cells are tracked by linking trajectories in all time-frames, based on finding their nearest position. Cell divisions are detected based on cell appearance and individual cell temporary corner density. The number of divisions anticipated is low due to the high probability of cell killing from high-LET irradiation. Survival curves are produced based on cell's capacity to divide at least four to five times. The process is repeated for a range of doses of radiation. Validation shows the efficiency of the proposed cell detection and tracking method in finding cell divisions.

Indexed as

bright-field imagingcell trackingclonogenic survival assayhigh-LET radiationmicrobeam

Identifiers

PMID26835414
PMCPMC4724960

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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.