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1.
FASEB J ; 33(8): 9235-9249, 2019 08.
Artigo em Inglês | MEDLINE | ID: mdl-31145643

RESUMO

Cancer cells can switch between signaling pathways to regulate growth under different conditions. In the tumor microenvironment, this likely helps them evade therapies that target specific pathways. We must identify all possible states and utilize them in drug screening programs. One such state is characterized by expression of the transcription factor Hairy and Enhancer of Split 3 (HES3) and sensitivity to HES3 knockdown, and it can be modeled in vitro. Here, we cultured 3 primary human brain cancer cell lines under 3 different culture conditions that maintain low, medium, and high HES3 expression and characterized gene regulation and mechanical phenotype in these states. We assessed gene expression regulation following HES3 knockdown in the HES3-high conditions. We then employed a commonly used human brain tumor cell line to screen Food and Drug Administration (FDA)-approved compounds that specifically target the HES3-high state. We report that cells from multiple patients behave similarly when placed under distinct culture conditions. We identified 37 FDA-approved compounds that specifically kill cancer cells in the high-HES3-expression conditions. Our work reveals a novel signaling state in cancer, biomarkers, a strategy to identify treatments against it, and a set of putative drugs for potential repurposing.-Poser, S. W., Otto, O., Arps-Forker, C., Ge, Y., Herbig, M., Andree, C., Gruetzmann, K., Adasme, M. F., Stodolak, S., Nikolakopoulou, P., Park, D. M., Mcintyre, A., Lesche, M., Dahl, A., Lennig, P., Bornstein, S. R., Schroeck, E., Klink, B., Leker, R. R., Bickle, M., Chrousos, G. P., Schroeder, M., Cannistraci, C. V., Guck, J., Androutsellis-Theotokis, A. Controlling distinct signaling states in cultured cancer cells provides a new platform for drug discovery.


Assuntos
Glioblastoma/metabolismo , Proteínas Repressoras/metabolismo , Linhagem Celular Tumoral , Descoberta de Drogas , Perfilação da Expressão Gênica , Regulação da Expressão Gênica/genética , Regulação da Expressão Gênica/fisiologia , Glioblastoma/genética , Humanos , Interferência de RNA , Proteínas Repressoras/genética , Transdução de Sinais/genética , Transdução de Sinais/fisiologia
2.
Oncotarget ; 7(42): 68156-68169, 2016 Oct 18.
Artigo em Inglês | MEDLINE | ID: mdl-27626687

RESUMO

Drug resistance is an important open problem in cancer treatment. In recent years, the heat shock protein HSP27 (HSPB1) was identified as a key player driving resistance development. HSP27 is overexpressed in many cancer types and influences cellular processes such as apoptosis, DNA repair, recombination, and formation of metastases. As a result cancer cells are able to suppress apoptosis and develop resistance to cytostatic drugs. To identify HSP27 inhibitors we follow a novel computational drug repositioning approach. We exploit a similarity between a predicted HSP27 binding site to a viral thymidine kinase to generate lead inhibitors for HSP27. Six of these leads were verified experimentally. They bind HSP27 and down-regulate its chaperone activity. Most importantly, all six compounds inhibit development of drug resistance in cellular assays. One of the leads - chlorpromazine - is an antipsychotic, which has a positive effect on survival time in human breast cancer. In summary, we make two important contributions: First, we put forward six novel leads, which inhibit HSP27 and tackle drug resistance. Second, we demonstrate the power of computational drug repositioning.


Assuntos
Biologia Computacional/métodos , Citostáticos/farmacologia , Reposicionamento de Medicamentos/métodos , Resistencia a Medicamentos Antineoplásicos/efeitos dos fármacos , Proteínas de Choque Térmico HSP27/antagonistas & inibidores , Antipsicóticos/química , Antipsicóticos/farmacologia , Apoptose/efeitos dos fármacos , Linhagem Celular Tumoral , Clorpromazina/química , Clorpromazina/farmacologia , Citostáticos/química , Proteínas de Choque Térmico HSP27/metabolismo , Humanos , Simulação de Acoplamento Molecular , Estrutura Molecular , Neoplasias/metabolismo , Neoplasias/patologia , Ligação Proteica
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