Evidence map›Paper›PMID 33291477›Full record

ArticleCancers2020

Mapping the Relative Biological Effectiveness of Proton, Helium and Carbon Ions with High-Throughput Techniques.

Lawrence Bronk, Fada Guan, Darshana Patel, Duo Ma, Benjamin Kroger, Xiaochun Wang, Kevin Tran, Joycelyn Yiu, Clifford Stephan, Jürgen Debus and 5 more

Abstract read
In one paragraph

Article in Cancers, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing 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

18 citing papers in PubMed.

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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

15 authors.

Lawrence BronkDepartment of Experimental Radiation Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA.
Fada GuanDepartment of Radiation Physics, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA.ORCID 0000-0001-8477-7391
Darshana PatelDepartment of Radiation Physics, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA.
Duo MaDepartment of Radiation Physics, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA.
Benjamin KrogerDepartment of Experimental Radiation Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA.
Xiaochun WangDepartment of Radiation Physics, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA.
Kevin TranDepartment of Experimental Radiation Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA.
Joycelyn YiuDepartment of Experimental Radiation Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA.
Clifford StephanTexas A&M Institute of Biosciences and Technology High Throughput Research and Screening Center, Houston, TX 77030, USA.
Jürgen DebusNational Center for Tumor Diseases, Deutsches Krebsforschungszentrum, 69120 Heidelberg, Germany.
Amir AbdollahiNational Center for Tumor Diseases, Deutsches Krebsforschungszentrum, 69120 Heidelberg, Germany.ORCID 0000-0002-8016-5897
Oliver JäkelNational Center for Tumor Diseases, Deutsches Krebsforschungszentrum, 69120 Heidelberg, Germany.ORCID 0000-0002-6056-9747
Radhe MohanDepartment of Radiation Physics, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA.
Uwe TittDepartment of Radiation Physics, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA.
David R GrosshansDepartment of Experimental Radiation Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA.

Funding

Tumor Evolution and Metastasis ProgramP30CA016672 · NCI · UNIVERSITY OF TX MD ANDERSON CAN CTR · PI Scott Kopetz · 1985 to 2026
$290.8M
Mapping Proton RBE Variability Using Automated Biology and Monte Carlo TechniquesR21CA187484 · NCI · UNIVERSITY OF TX MD ANDERSON CAN CTR · PI GROSSHANS, DAVID R · 2014 to 2015
$383k
Cancer Prevention and Research Institute of Texas RP150578Cancer Prevention and Research Institute of Texas RP170067NCI NIH HHS CA016672NCI NIH HHS CA187484NCI NIH HHS P30 CA016672
6 · The paper itself

Abstract

Large amounts of high quality biophysical data are needed to improve current biological effects models but such data are lacking and difficult to obtain. The present study aimed to more efficiently measure the spatial distribution of relative biological effectiveness (RBE) of charged particle beams using a novel high-accuracy and high-throughput experimental platform. Clonogenic survival was selected as the biological endpoint for two lung cancer cell lines, H460 and H1437, irradiated with protons, carbon, and helium ions. Ion-specific multi-step microplate holders were fabricated such that each column of a 96-well microplate is spatially situated at a different location along a particle beam path. Dose, dose-averaged linear energy transfer (LET

Indexed as

charged particle therapyhigh-throughput techniqueslung cancer cellsrelative biological effectiveness

Identifiers

PMID33291477
PMCPMC7762185

What OpenQuestion holds

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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 OpenQuestion graph.