Computation and comparison of gene expression variability in fibroblasts of long-term survivors of childhood cancer and cancer-free controls in response to ionizing and sham-irradiation: the KiKme study

Author:

Grandt Caine Lucas1,Brackmann Lara Kim1,Foraita Ronja2,Schwarz Heike2,Bartenschlager Willempje Hummel2,Hankeln Thomas3,Kraemer Christiane4,Zahnreich Sebastian5,Drees Philipp6,Mirsch Johanna7,Spix Claudia8,Blettner Maria9,Schmidberger Heinz10,Binder Harald11,Hess Moritz11,Galetzka Danuta10,Marini Federico12,Poplawski Alicia12,Marron Manuela2ORCID

Affiliation:

1. Leibniz-Institute for Prevention Research and Epidemiology, Bremen

2. Leibniz-Institute for Prevention Research and Epidemiology

3. Institut für Organismische und Molekulare Evolutionsbiologie

4. Institut für Organismische und Molekulare Evolution

5. Department of Radiation Oncology and Radiation Therapy, University Mainz, Mainz

6. Department of Orthopaedics and Traumatology, University Medical Center of the Johannes Gutenberg University Mainz, Mainz

7. Radiation Biology and DNA Repair, Technical University of Darmstadt, Darmstadt

8. Division 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

9. Insitute of Medical Biostatistics, Epidemiology and Informatics (IMBEI), University Medical Center of Johannes Gutenberg University Mainz, Mainz

10. Department of Radiation Oncology and Radiation Therapy, University Medical Center of the Johannes Gutenberg University Mainz, Mainz

11. Institute of Medical Biometry and Statistics, Faculty of Medicine and Medical Center University of Freiburg, Freiburg

12. Institute of Medical Biostatistics, Epidemiology and Informatics (IMBEI), University Medical Center of the Johannes Gutenberg University Mainz, Mainz

Abstract

Abstract Background: Differential 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. Methods: Human 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 subsequently examined for enriched functional signatures. Results: We 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). After 2 Gray GO term groups contained the Notch signalling pathway, subsuming cellular response to oxidative stress, cell death in response to hydrogen peroxide, DNA damage response, and detection of DNA damage. In N2+, 30 genes were uniquely classified as hyper-variable after the low dose, and were associated with inflammatory functions. For N1, no exclusive gene sets with functions related to the radiation response were detected in our data. Conclusion: Only in N0, the handling of genotoxic and oxidative stress after a high dose of ionizing radiation may be tightly regulated and thus more efficient, whereas, after a low dose, only N2+ showed high degrees of variability in inflammatory pathways that can be a result of radiation-induced reactive oxygen species, potentially leading to a higher vulnerability towards side effects of exposure to high doses of ionizing radiation.

Publisher

Research Square Platform LLC

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