Molecular Characterization of the Response to Conventional Chemotherapeutics in Pro-B-ALL Cell Lines in Terms of Tumor Relapse.


Journal

Genes
ISSN: 2073-4425
Titre abrégé: Genes (Basel)
Pays: Switzerland
ID NLM: 101551097

Informations de publication

Date de publication:
14 07 2022
Historique:
received: 26 05 2022
revised: 26 06 2022
accepted: 29 06 2022
entrez: 27 7 2022
pubmed: 28 7 2022
medline: 29 7 2022
Statut: epublish

Résumé

Little is known about optimally applying chemotherapeutic agents in a specific temporal sequence to rapidly reduce the tumor load and to improve therapeutic efficacy. The clinical optimization of drug efficacy while reducing side effects is still restricted due to an incomplete understanding of the mode of action and related tumor relapse mechanisms on the molecular level. The molecular characterization of transcriptomic drug signatures can help to identify the affected pathways, downstream regulated genes and regulatory interactions related to tumor relapse in response to drug application. We tried to outline the dynamic regulatory reprogramming leading to tumor relapse in relapsed MLL-rearranged pro-B-cell acute lymphoblastic leukemia (B-ALL) cells in response to two first-line treatments: dexamethasone (Dexa) and cytarabine (AraC). We performed an integrative molecular analysis of whole transcriptome profiles of each treatment, specifically considering public knowledge of miRNA regulation via a network-based approach to unravel key driver genes and miRNAs that may control the relapse mechanisms accompanying each treatment. Our results gave hints to the crucial regulatory roles of genes leading to Dexa-resistance and related miRNAs linked to chemosensitivity. These genes and miRNAs should be further investigated in preclinical models to obtain more hints about relapse processes.

Identifiants

pubmed: 35886023
pii: genes13071240
doi: 10.3390/genes13071240
pmc: PMC9316692
pii:
doi:

Substances chimiques

Antineoplastic Agents 0
MicroRNAs 0
Cytarabine 04079A1RDZ

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

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Auteurs

Yvonne Saara Gladbach (YS)

Institute for Biostatistics and Informatics in Medicine and Ageing Research (IBIMA), Rostock University Medical Center, 18057 Rostock, Germany.
Faculty of Biosciences, Heidelberg University, 69120 Heidelberg, Germany.
Division of Applied Bioinformatics, German Cancer Research Center (DKFZ), 69120 Heidelberg, Germany.

Lisa-Madeleine Sklarz (LM)

Clinic III-Hematology, Oncology, Palliative Medicine, Center for Internal Medicine, Rostock University Medical Center, 18057 Rostock, Germany.

Catrin Roolf (C)

Clinic III-Hematology, Oncology, Palliative Medicine, Center for Internal Medicine, Rostock University Medical Center, 18057 Rostock, Germany.

Julia Beck (J)

Chronix Biomedical GmbH, 37073 Göttingen, Germany.

Ekkehard Schütz (E)

Chronix Biomedical GmbH, 37073 Göttingen, Germany.

Georg Fuellen (G)

Institute for Biostatistics and Informatics in Medicine and Ageing Research (IBIMA), Rostock University Medical Center, 18057 Rostock, Germany.

Christian Junghanss (C)

Clinic III-Hematology, Oncology, Palliative Medicine, Center for Internal Medicine, Rostock University Medical Center, 18057 Rostock, Germany.

Hugo Murua Escobar (H)

Clinic III-Hematology, Oncology, Palliative Medicine, Center for Internal Medicine, Rostock University Medical Center, 18057 Rostock, Germany.
Comprehensive Cancer Center Mecklenburg-Vorpommern (CCC-MV), Campus Rostock, Rostock University Medical Center, 18057 Rostock, Germany.

Mohamed Hamed (M)

Institute for Biostatistics and Informatics in Medicine and Ageing Research (IBIMA), Rostock University Medical Center, 18057 Rostock, Germany.

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Classifications MeSH