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Validation of genes for H-ARS severity prediction in leukemia patients - interspecies comparison, challenges, and promises.
Schwanke, Daniel; Valente, Marco; Ostheim, Patrick; Schüle, Simone; Bobyk, Laure; Drouet, Michel; Riccobono, Diane; Magné, Nicolas; Daguenet, Elisabeth; Stewart, Samantha Jo; Muhtadi, Razan; Port, Matthias; Abend, Michael.
Affiliation
  • Schwanke D; Bundeswehr Institute of Radiobiology, Munich, Germany.
  • Valente M; Department of Radiation Biological Effects, Armed Forces Biomedical Research Institute, Brétigny-sur-Orge, France.
  • Ostheim P; Bundeswehr Institute of Radiobiology, Munich, Germany.
  • Schüle S; Bundeswehr Institute of Radiobiology, Munich, Germany.
  • Bobyk L; Department of Radiation Biological Effects, Armed Forces Biomedical Research Institute, Brétigny-sur-Orge, France.
  • Drouet M; Department of Radiation Biological Effects, Armed Forces Biomedical Research Institute, Brétigny-sur-Orge, France.
  • Riccobono D; Department of Radiation Biological Effects, Armed Forces Biomedical Research Institute, Brétigny-sur-Orge, France.
  • Magné N; Cellular and Molecular Radiobiology Laboratory, Lyon-Sud Medical School, UMR CNRS5822/IP2I, Univ Lyon, Lyon 1 University, Oullins, France.
  • Daguenet E; Department of Radiotherapy, Lucien Neuwirth Institute, Saint Priest en Jarez, France.
  • Stewart SJ; Department of Radiotherapy, Bergonié Institute, Bordeaux, France.
  • Muhtadi R; CHU de Saint-Etienne, Saint-Etienne, France.
  • Port M; Bundeswehr Institute of Radiobiology, Munich, Germany.
  • Abend M; Bundeswehr Institute of Radiobiology, Munich, Germany.
Int J Radiat Biol ; 100(4): 527-540, 2024.
Article in En | MEDLINE | ID: mdl-38227483
ABSTRACT

PURPOSE:

In a previous baboon-study, a total of 29 genes were identified for clinical outcome prediction of the hematologic, acute, radiation, syndrome (H-ARS) severity. Among them, four genes (FDXR, DDB2, POU2AF1, WNT3) appeared promising and were validated in five leukemia patients. Within this study, we sought further in-vivo validation in a larger number of whole-body irradiated patients. MATERIAL AND

METHODS:

Peripheral blood was drawn from 10 leukemia patients before and up to 3 days during a fractionated (2 Gy/day) total-body irradiation (TBI) with 2-12Gy. After RNA-isolation, gene expression (GE) was evaluated on 31 genes widely used in biodosimetry and H-ARS prediction employing qRT-PCR. A customized low-density-array (LDA) allowed simultanously analyzing all genes, the 96-well format further examined the four most promising genes. Fold-changes (FC) in GE relative to pre-irradiation were calculated.

RESULTS:

Five patients suffering from acute-lymphoblastic-leukemia (ALL) respectively non-Hodgkin-lymphoma (NHL) revealed sufficient RNA-amounts and corresponding lymphocyte and neutrophile counts for running qRT-PCR, while acute-myeloid-leukemia (AML) and one myelofibrosis patient could not supply enough RNA. Generally, 1-2µg total RNA was isolated, whereas up to 10-fold differences in RNA-quantities (associated suppressed GE-changes) were identified among pre-exposure and exposure samples. From 31 genes, 23 were expressed in at least one of the pre-exposure samples. Relative to pre-exposure, the number of expressed genes could halve at 48 and 72h after irradiation. Using the LDA, 13 genes were validated in human samples. The four most promising genes (vid. sup.) were either undetermined or too close to pre-exposure. However, they were measured using the more sensitive 96-well format, except WNT3, which wasn´t detectable. As in previous studies, an opposite regulation in GE for FDXR in leukemia patients (up-regulated) relative to baboons (down-regulated) was reconfirmed. Radiation-induced GE-changes of DDB2 (up-regulated) and POU2AF1 (down-regulated) behaved similarly in both species. Hence, 16 out of 23 genes of two species showed GE-changes in the same direction, and up-regulated FDXR as in human studies were revalidated.

CONCLUSION:

Identified genes for H-ARS severity prediction, previously detected in baboons, were validated in ALL but not in AML patients. Limitations related to leukemia type, associated reduced RNA amounts, suppressed GE changes, and methodological challenges must be considered as factors negatively affecting the total number of validated genes. Based on that, we propose additional controls including blood cell counts and preferably fluorescence-based RNA quantity measurements for selecting promising samples and using a more sensitive 96-well format for candidate genes with low baseline copy numbers.
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: RNA / Leukemia, Myeloid, Acute Type of study: Prognostic_studies / Risk_factors_studies Limits: Animals / Humans Language: En Journal: Int J Radiat Biol Journal subject: RADIOLOGIA Year: 2024 Document type: Article Affiliation country: Country of publication:

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: RNA / Leukemia, Myeloid, Acute Type of study: Prognostic_studies / Risk_factors_studies Limits: Animals / Humans Language: En Journal: Int J Radiat Biol Journal subject: RADIOLOGIA Year: 2024 Document type: Article Affiliation country: Country of publication: