Evidence map›Paper›PMID 36997855›Full record

ArticleMolecular medicine (Cambridge, Mass.)2023

Gene expression variability in long-term survivors of childhood cancer and cancer-free controls in response to ionizing irradiation.

Caine Lucas Grandt, Lara Kim Brackmann, Ronja Foraita, Heike Schwarz, Willempje Hummel-Bartenschlager, Thomas Hankeln, Christiane Kraemer, Sebastian Zahnreich, Philipp Drees, Johanna Mirsch and 9 more

Open access · goldAbstract read
In one paragraph

Article in Molecular medicine (Cambridge, Mass.), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.3field-weighted citation impact, top 38% 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

2 citing papers in PubMed, 2 citations in OpenAlex.

  1. Review
  2. 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

19 authors at 5 institutions in 1 country.

Caine Lucas GrandtLeibniz Institute for Prevention Research and Epidemiology-BIPS, Achterstr. 30, 28359, Bremen, Germany. grandt@leibniz-bips.de.
Lara Kim BrackmannLeibniz Institute for Prevention Research and Epidemiology-BIPS, Achterstr. 30, 28359, Bremen, Germany.
Ronja ForaitaLeibniz Institute for Prevention Research and Epidemiology-BIPS, Achterstr. 30, 28359, Bremen, Germany.
Heike SchwarzLeibniz Institute for Prevention Research and Epidemiology-BIPS, Achterstr. 30, 28359, Bremen, Germany.
Willempje Hummel-BartenschlagerLeibniz Institute for Prevention Research and Epidemiology-BIPS, Achterstr. 30, 28359, Bremen, Germany.
Thomas HankelnInstitute of Organismic and Molecular Evolution, Molecular Genetics and Genome Analysis, Johannes Gutenberg University Mainz, Mainz, Germany.
Christiane KraemerInstitute of Organismic and Molecular Evolution, Molecular Genetics and Genome Analysis, Johannes Gutenberg University Mainz, Mainz, Germany.
Sebastian ZahnreichDepartment of Radiation Oncology and Radiation Therapy, University Medical Center of the Johannes Gutenberg University Mainz, Mainz, Germany.
Philipp DreesDepartment of Orthopaedics and Traumatology, University Medical Center of the Johannes Gutenberg University Mainz, Mainz, Germany.
Johanna MirschRadiation Biology and DNA Repair, Technical University of Darmstadt, Darmstadt, Germany.
Claudia SpixDivision of Childhood Cancer Epidemiology, German Childhood Cancer Registry, Institute of Medical Biostatistics, Epidemiology and Informatics (IMBEI), University Medical Center of the Johannes Gutenberg University Mainz, Mainz, Germany.
Maria BlettnerInstitute of Medical Biostatistics, Epidemiology and Informatics (IMBEI), Center of the Johannes, University Medical, Gutenberg University, Mainz, Germany.
Heinz SchmidbergerDepartment of Radiation Oncology and Radiation Therapy, University Medical Center of the Johannes Gutenberg University Mainz, Mainz, Germany.
Harald BinderInstitute of Medical Biometry and Statistics, University Medical Center, Freiburg, Germany.
Moritz HessInstitute of Medical Biometry and Statistics, University Medical Center, Freiburg, Germany.
Danuta GaletzkaDepartment of Radiation Oncology and Radiation Therapy, University Medical Center of the Johannes Gutenberg University Mainz, Mainz, Germany.
Federico MariniInstitute of Medical Biostatistics, Epidemiology and Informatics (IMBEI), Center of the Johannes, University Medical, Gutenberg University, Mainz, Germany.
Alicia PoplawskiInstitute of Medical Biostatistics, Epidemiology and Informatics (IMBEI), Center of the Johannes, University Medical, Gutenberg University, Mainz, Germany.
Manuela MarronLeibniz Institute for Prevention Research and Epidemiology-BIPS, Achterstr. 30, 28359, Bremen, Germany.ORCID 0000-0001-9658-1855
Johannes Gutenberg University Mainz · DELeibniz Institute for Prevention Research and Epidemiology - BIPS · DEUniversity Medical Center Freiburg · DETechnische Universität Darmstadt · DEUniversity of Bremen · DE

Funding

Bundesministerium für Bildung und Forschung 02NUK016ABundesministerium für Bildung und Forschung 2NUK042ABundesministerium für Bildung und Forschung 2NUK042BBundesministerium für Bildung und Forschung 2NUK042CBundesministerium für Bildung und Forschung 2NUK042D
6 · The paper itself

Abstract

backgroundDifferential expression analysis is usually adjusted for variation. However, most studies that examined the expression variability (EV) have used computations affected by low expression levels and did not examine healthy tissue. This study aims to calculate and characterize an unbiased EV in primary fibroblasts of childhood cancer survivors and cancer-free controls (N0) in response to ionizing radiation.

methodsHuman skin fibroblasts of 52 donors with a first primary neoplasm in childhood (N1), 52 donors with at least one second primary neoplasm (N2 +), as well as 52 N0 were obtained from the KiKme case-control study and exposed to a high (2 Gray) and a low dose (0.05 Gray) of X-rays and sham- irradiation (0 Gray). Genes were then classified as hypo-, non-, or hyper-variable per donor group and radiation treatment, and then examined for over-represented functional signatures.

resultsWe found 22 genes with considerable EV differences between donor groups, of which 11 genes were associated with response to ionizing radiation, stress, and DNA repair. The largest number of genes exclusive to one donor group and variability classification combination were all detected in N0: hypo-variable genes after 0 Gray (n = 49), 0.05 Gray (n = 41), and 2 Gray (n = 38), as well as hyper-variable genes after any dose (n = 43). While after 2 Gray positive regulation of cell cycle was hypo-variable in N0, (regulation of) fibroblast proliferation was over-represented in hyper-variable genes of N1 and N2+. In N2+, 30 genes were uniquely classified as hyper-variable after the low dose and were associated with the ERK1/ERK2 cascade. For N1, no exclusive gene sets with functions related to the radiation response were detected in our data.

conclusionN2+ showed high degrees of variability in pathways for the cell fate decision after genotoxic insults that may lead to the transfer and multiplication of DNA-damage via proliferation, where apoptosis and removal of the damaged genome would have been appropriate. Such a deficiency could potentially lead to a higher vulnerability towards side effects of exposure to high doses of ionizing radiation, but following low-dose applications employed in diagnostics, as well.

Indexed as

Cancer SurvivorsNeoplasmsCase-Control StudiesChildDose-Response Relationship, RadiationGene ExpressionGene Expression ProfilingHumansRadiation, IonizingChildhood cancerHigh doseKikme studyLow doseNGSPan-cancerRadiation responseRNA-Seq

Identifiers

PMID36997855
PMCPMC10061869
OpenAlexW4361271901

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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.