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1.
Int J Mol Sci ; 21(18)2020 Sep 08.
Artículo en Inglés | MEDLINE | ID: mdl-32911859

RESUMEN

Neuroblastoma is a childhood solid tumour originating from undifferentiated neural progenitor cells of the sympathetic nervous system. Drug resistance of childhood cancer neuroblastoma is a serious clinical problem. In the present study, we aimed to identify novel drugs that can inhibit the growth and survival of chemoresistant neuroblastoma. High-throughput screening identified a small molecule, epi-enprioline that was able to induce apoptosis of vincristine-resistant neuroblastoma cells via the mitochondrial apoptotic pathway. Epi-enprioline reduced tumour growth in multiple preclinical models, including an orthotopic neuroblastoma patient-derived xenograft model in vivo. In summary, our data suggest that epi-enprioline can be considered as a lead compound for the treatment of vincristine-resistant neuroblastoma uncovering a novel strategy, which can be further explored as a treatment for drug-resistant neuroblastoma.


Asunto(s)
Antineoplásicos/farmacología , Resistencia a Antineoplásicos/efectos de los fármacos , Neuroblastoma/tratamiento farmacológico , Piridinas/farmacología , Animales , Antineoplásicos/metabolismo , Apoptosis/efectos de los fármacos , Línea Celular Tumoral , Supervivencia Celular/efectos de los fármacos , Doxorrubicina/farmacología , Ensayos de Selección de Medicamentos Antitumorales/métodos , Femenino , Ensayos Analíticos de Alto Rendimiento/métodos , Humanos , Ratones , Ratones Desnudos , Bibliotecas de Moléculas Pequeñas/farmacología , Vincristina/farmacología , Ensayos Antitumor por Modelo de Xenoinjerto
2.
Int J Mol Sci ; 21(18)2020 Sep 16.
Artículo en Inglés | MEDLINE | ID: mdl-32948088

RESUMEN

Drug resistance of childhood cancer neuroblastoma is a serious clinical problem. Patients with relapsed disease have a poor prognosis despite intense treatment. In the present study, we aimed to identify chemoresistance gene expression signatures in vincristine resistant neuroblastoma cells. We found that vincristine-resistant neuroblastoma cells formed larger clones and survived under reduced serum conditions as compared with non-resistant parental cells. To identify the possible mechanisms underlying vincristine resistance in neuroblastoma cells, we investigated the expression profiles of genes known to be involved in cancer drug resistance. This specific gene expression patterns could predict the behavior of a tumor in response to chemotherapy and for predicting the prognosis of high-risk neuroblastoma patients. Our signature could help chemoresistant neuroblastoma patients in avoiding useless and harmful chemotherapy cycles.


Asunto(s)
Antineoplásicos Fitogénicos/farmacología , Resistencia a Antineoplásicos/genética , Proteínas de Neoplasias/biosíntesis , Neuroblastoma/genética , Transcriptoma , Vincristina/farmacología , Antineoplásicos/farmacología , Antineoplásicos Fitogénicos/uso terapéutico , Ciclo Celular/efectos de los fármacos , Línea Celular Tumoral , Cisplatino/farmacología , Células Clonales , Etopósido/farmacología , Regulación Neoplásica de la Expresión Génica/efectos de los fármacos , Humanos , Proteínas de Neoplasias/genética , Neuroblastoma/tratamiento farmacológico , Neuroblastoma/patología , Nocodazol/farmacología , Pronóstico , Vincristina/uso terapéutico
3.
FEBS Lett ; 594(15): 2339-2369, 2020 08.
Artículo en Inglés | MEDLINE | ID: mdl-32337704

RESUMEN

Protein phosphorylation regulates a large variety of biological processes in all living cells. In pathogenic bacteria, the study of serine, threonine, and tyrosine (Ser/Thr/Tyr) phosphorylation has shed light on the course of infectious diseases, from adherence to host cells to pathogen virulence, replication, and persistence. Mass spectrometry (MS)-based phosphoproteomics has provided global maps of Ser/Thr/Tyr phosphosites in bacterial pathogens. Despite recent developments, a quantitative and dynamic view of phosphorylation events that occur during bacterial pathogenesis is currently lacking. Temporal, spatial, and subpopulation resolution of phosphorylation data is required to identify key regulatory nodes underlying bacterial pathogenesis. Herein, we discuss how technological improvements in sample handling, MS instrumentation, data processing, and machine learning should improve bacterial phosphoproteomic datasets and the information extracted from them. Such information is expected to significantly extend the current knowledge of Ser/Thr/Tyr phosphorylation in pathogenic bacteria and should ultimately contribute to the design of novel strategies to combat bacterial infections.


Asunto(s)
Bacterias/metabolismo , Infecciones Bacterianas/metabolismo , Proteínas Bacterianas/metabolismo , Fosfoproteínas/metabolismo , Animales , Humanos , Fosforilación , Serina/metabolismo , Espectrometría de Masas en Tándem , Treonina/metabolismo , Tirosina/metabolismo
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