Evidence map›Paper›PMID 28622395›Full record

ArticleJournal of biomedical optics2017

Optical imaging of radiation-induced metabolic changes in radiation-sensitive and resistant cancer cells.

Kinan Alhallak, Samir V Jenkins, David E Lee, Nicholas P Greene, Kyle P Quinn, Robert J Griffin, Ruud P M Dings, Narasimhan Rajaram

Open access · goldAbstract read
In one paragraph

Article in Journal of biomedical optics, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed
1.1field-weighted citation impact, top 26% of its field
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

20 citing papers in PubMed, 27 citations in OpenAlex.

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  12. Simultaneous Metabolic and Perfusion Imaging Using HyperpolarizedInternational journal of radiation oncology, biology, physics · 2020
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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

8 authors at 2 institutions in 1 country.

Kinan AlhallakUniversity of Arkansas, Department of Biomedical Engineering, Fayetteville, Arkansas, United States.
Samir V JenkinsUniversity of Arkansas for Medical Sciences, Division of Radiation Oncology, Little Rock, Arkansas, United States.
David E LeeUniversity of Arkansas, Department of Health, Human Performance, and Recreation, Fayetteville, Arkansas, United States.
Nicholas P GreeneUniversity of Arkansas, Department of Health, Human Performance, and Recreation, Fayetteville, Arkansas, United States.
Kyle P QuinnUniversity of Arkansas, Department of Biomedical Engineering, Fayetteville, Arkansas, United States.
Robert J GriffinUniversity of Arkansas for Medical Sciences, Division of Radiation Oncology, Little Rock, Arkansas, United States.
Ruud P M DingsUniversity of Arkansas for Medical Sciences, Division of Radiation Oncology, Little Rock, Arkansas, United States.
Narasimhan RajaramUniversity of Arkansas, Department of Biomedical Engineering, Fayetteville, Arkansas, United States.
University of Arkansas at Fayetteville · USUniversity of Arkansas for Medical Sciences · US

Funding

Study of the Cell-specific Inflammasome Responses During Defense Against Gram-negative BacteriaP20GM103625 · NIGMS · UNIV OF ARKANSAS FOR MED SCIS · PI SMELTZER, MARK S · 2012 to 2021
$21.5M
Non-invasive label-free quantitative imaging for chronic wound characterizationR00EB017723 · NIBIB · UNIVERSITY OF ARKANSAS AT FAYETTEVILLE · PI QUINN, KYLE PATRICK · 2015 to 2017
$745k
NIBIB NIH HHS R00 EB017723NIGMS NIH HHS P20 GM103625
6 · The paper itself

Abstract

Radiation resistance remains a significant problem for cancer patients, especially due to the time required to definitively determine treatment outcome. For fractionated radiation therapy, nearly 7 to 8 weeks can elapse before a tumor is deemed to be radiation-resistant. We used the optical redox ratio of FAD / ( FAD + NADH ) to identify early metabolic changes in radiation-resistant lung cancer cells. These radiation-resistant human A549 lung cancer cells were developed by exposing the parental A549 cells to repeated doses of radiation (2 Gy). Although there were no significant differences in the optical redox ratio between the parental and resistant cell lines prior to radiation, there was a significant decrease in the optical redox ratio of the radiation-resistant cells 24 h after a single radiation exposure ( p = 0.01 ). This change in the redox ratio was indicative of increased catabolism of glucose in the resistant cells after radiation and was associated with significantly greater protein content of hypoxia-inducible factor 1 ( HIF - 1 ? ), a key promoter of glycolytic metabolism. Our results demonstrate that the optical redox ratio could provide a rapid method of determining radiation resistance status based on early metabolic changes in cancer cells.

Indexed as

Optical ImagingRadiation ToleranceCell Line, TumorGlycolysisHumansLung Neoplasms

Identifiers

PMID28622395
PMCPMC5499259
OpenAlexW2625344994

What OpenQuestion 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 OpenQuestion graph.