Evidence map›Paper›PMID 32360032›Full record

ArticleRadiotherapy and oncology : journal of the European Society for Therapeutic Radiology and Oncology2020

Plasma metabolite biomarkers predictive of radiation induced cardiotoxicity.

Keith Unger, Yaoxiang Li, Celine Yeh, Ana Barac, Monvadi B Srichai, Elizabeth A Ballew, Michael Girgis, Meth Jayatilake, Vijayalakshmi Sridharan, Marjan Boerma and 1 more

Open access · greenAbstract read
In one paragraph

Article in Radiotherapy and oncology : journal of the European Society for Therapeutic Radiology and Oncology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
3.3field-weighted citation impact, top 6% 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

14 citing papers in PubMed, 27 citations in OpenAlex.

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  8. Biomarkers to Predict Lethal Radiation Injury to the Rat Lung.International journal of molecular sciences · 2023
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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

11 authors at 2 institutions in 1 country.

Keith UngerDepartment of Radiation Medicine, MedStar Georgetown University Hospital, Washington D.C., United States.
Yaoxiang LiDepartment of Oncology, Lombardi Comprehensive Cancer Center, Georgetown University Medical Center, Washington D.C., United States.
Celine YehDepartment of Radiation Medicine, MedStar Georgetown University Hospital, Washington D.C., United States.
Ana BaracDepartment of Cardiology, MedStar Georgetown University Hospital and Medstar Washington Hospital Center, Washington D.C., United States.
Monvadi B SrichaiDepartment of Cardiology, MedStar Georgetown University Hospital and Medstar Washington Hospital Center, Washington D.C., United States; Department of Radiology, Medstar Georgetown University Hospital, Washington D.C., United States.
Elizabeth A BallewDepartment of Radiation Medicine, MedStar Georgetown University Hospital, Washington D.C., United States.
Michael GirgisDepartment of Oncology, Lombardi Comprehensive Cancer Center, Georgetown University Medical Center, Washington D.C., United States.
Meth JayatilakeDepartment of Oncology, Lombardi Comprehensive Cancer Center, Georgetown University Medical Center, Washington D.C., United States.
Vijayalakshmi SridharanDivision of Radiation Health, Department of Pharmaceutical Sciences, University of Arkansas for Medical Sciences, Little Rock, United States.
Marjan BoermaDivision of Radiation Health, Department of Pharmaceutical Sciences, University of Arkansas for Medical Sciences, Little Rock, United States.
Amrita K CheemaDepartment of Oncology, Lombardi Comprehensive Cancer Center, Georgetown University Medical Center, Washington D.C., United States; Department of Biochemistry, Molecular and Cellular Biology, Georgetown University, Georgetown University Medical Center, Washington D.C., United States. Electronic address: akc27@georgetown.edu.
Georgetown University · USUniversity of Arkansas for Medical Sciences · US

Funding

Tissue Culture Shared ResourceP30CA051008 · NCI · GEORGETOWN UNIVERSITY · PI Louis M Weiner · 1990 to 2026
$71.5M
The Role o f Tetrahydrobiopterin (BH4) Bioavailability in Radiation-induced Skin InjuryP20GM109005 · NIGMS · UNIV OF ARKANSAS FOR MED SCIS · PI BOERMA, MARJAN · 2015 to 2024
$21.1M
The Protein C Pathway in Mitigation of Radiation-Induced Endothelial and Vascular DysfunctionU01AI133561 · NIAID · UNIV OF ARKANSAS FOR MED SCIS · PI BOERMA, MARJAN, GRIFFIN, JOHN H · 2017 to 2021
$3.3M
Project-002U01AI148308 · NIAID · UNIV OF ARKANSAS FOR MED SCIS · PI BOERMA, MARJAN, CHEEMA, AMRITA KAUR · 2020 to 2024
$2.8M
NCI NIH HHS P30 CA051008NIAID NIH HHS U01 AI133561NIAID NIH HHS U01 AI148308NIGMS NIH HHS P20 GM109005
6 · The paper itself

Abstract

purposeAlthough advancements in cancer treatments using radiation therapy (RT) have led to improved outcomes, radiation-induced heart disease (RIHD) remains a significant source of morbidity and mortality in survivors of cancers in the chest. Currently, there are no diagnostic tests in clinical use due to a lack of understanding of the natural history and mechanisms of RIHD development. Few studies have examined the utility of using metabolomics to prospectively identify cancer survivors who are at risk of developing cardiotoxicity.

methodsWe analyzed plasma and left ventricle heart tissue samples collected from a cohort of male Sprague Dawley (SD) rats that were either sham irradiated or received fractionated doses (9 Gy per day × 5 days) of targeted X-ray radiation to the heart. Metabolomic and lipidomic analyses were utilized as a correlative approach for delineation of novel biomarkers associated with radiation-induced cardiac toxicity. Additionally, we used high-resolution mass spectrometry to examine the metabolomic profiles of plasma samples obtained from patients receiving high dose thoracic RT for esophageal cancer.

resultsMetabolic alterations in the rat model and patient plasma profiles, showed commonalities of radiation response that included steroid hormone biosynthesis and vitamin E metabolism. Alterations in patient plasma profiles were used to develop classification algorithms predictive of patients at risk of developing RIHD.

conclusionHerein, we report the feasibility of developing a metabolomics-based biomarker panel that is associated with adverse outcomes of cardiac function in patients who received RT for the treatment of esophageal cancer.

Indexed as

CardiotoxicityHeartAnimalsBiomarkersHumansMaleMetabolomicsPlasmaRatsRats, Sprague-DawleyBiomarkersCardiac toxicityMetabolomicsPlasma biomarkersRadiation therapy

Identifiers

PMID32360032
PMCPMC7572465
OpenAlexW3019893219

What OpenQuestion holds

Textmetadata
LicenceTDM
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.