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1.
Oncologist ; 24(6): 812-819, 2019 06.
Artículo en Inglés | MEDLINE | ID: mdl-30181315

RESUMEN

BACKGROUND: IBM Watson for Oncology (WFO), which can use natural language processing to evaluate data in structured and unstructured formats, has begun to be used in China. It provides physicians with evidence-based treatment options and ranks them in three categories for treatment decision support. This study was designed to examine the concordance between the treatment recommendation proposed by WFO and actual clinical decisions by oncologists in our cancer center, which would reflect the differences of cancer treatment between China and the U.S. PATIENTS AND METHODS: Retrospective data from 362 patients with cancer were ingested into WFO from April 2017 to October 2017. WFO recommendations were provided in three categories: recommended, for consideration, and not recommended. Concordance was analyzed by comparing the treatment decisions proposed by WFO with those of the multidisciplinary tumor board. Concordance was achieved when the oncologists' treatment decisions were in the recommended or for consideration categories in WFO. RESULTS: Ovarian cancer showed the highest concordance, which was 96%. Lung cancer and breast cancer obtained a concordance of slightly above 80%. The concordance of rectal cancer was 74%, whereas colon cancer and cervical cancer showed the same concordance of 64%. In particular, the concordance of gastric cancer was very low, only 12%, and 88% of cases were under physicians choice. CONCLUSION: Different cancer types showed different concordances, and only gastric cancers were significantly less likely to be concordant. Incidence and pharmaceuticals may be the major cause of discordance. To be comprehensively and rapidly applied in China, WFO needs to accelerate localization. ClinicalTrials.gov Identifier: NCT03400514. IMPLICATIONS FOR PRACTICE: IBM Watson for Oncology (WFO) has begun to be used in China. In this study, concordance was examined between the treatment recommendation proposed by WFO and clinical decisions for 362 patients in our cancer center, which could reflect the differences of cancer treatment between China and the U.S. Different cancer types showed different concordances, and only gastric cancers were significantly less likely to be concordant. Incidence and pharmaceuticals may be the major causes of discordance. To be comprehensively and rapidly applied in China, WFO needs to accelerate localization. This study may have a significant effect on application of artificial intelligence systems in China.


Asunto(s)
Protocolos de Quimioterapia Combinada Antineoplásica/uso terapéutico , Sistemas de Apoyo a Decisiones Clínicas , Medicina Basada en la Evidencia/métodos , Oncología Médica/métodos , Neoplasias/tratamiento farmacológico , Adulto , Anciano , Anciano de 80 o más Años , Protocolos de Quimioterapia Combinada Antineoplásica/normas , Inteligencia Artificial , China/epidemiología , Toma de Decisiones Clínicas/métodos , Supervivencia sin Enfermedad , Medicina Basada en la Evidencia/normas , Femenino , Humanos , Masculino , Oncología Médica/normas , Persona de Mediana Edad , Neoplasias/diagnóstico , Neoplasias/mortalidad , Selección de Paciente , Guías de Práctica Clínica como Asunto , Estudios Retrospectivos
2.
Oncotarget ; 5(21): 10621-35, 2014 Nov 15.
Artículo en Inglés | MEDLINE | ID: mdl-25301737

RESUMEN

CD133 is a cellular surface glycoprotein that has been reported as a marker for the enrichment of cancer stem cells (CSCs). However, the regulatory mechanism of CD133 remains unknown. CSCs have been proposed to contribute to radioresistance and multi-drug resistance. The elucidation of key regulators of CD133 and CSCs is critical for the development of CSC-targeted therapy. In this study, we showed that Ikarosinhibited the expression of CD133 via direct binding to the CD133 P1 promoter and repressed the tumorigenic and self-renewal capacity of CD133(+) cancer stem-like cells in hepatocellular carcinoma (HCC). We found that Ikaros interacted with CtBP as a transcription repressor complex, which inhibited CD133 expression in HCC. We also demonstrated that Ikaros expression was up-regulated by ETS1 which activity was regulated by MAPKs pathway. Furthermore, decreased expression of Ikaroswas significantly associated with poor survival in HCC patients. Overall, our study identifies that Ikaros plays a role as a transcription repressor in HCC and is a new reactivated therapeutic target for the treatment of HCC. Meanwhile, our findings provide evidence that Ikaros could be an attractive inhibitor of the target gene CD133, which reactivates anticancer mechanisms in targeted CSC therapy.


Asunto(s)
Antígenos CD/metabolismo , Carcinoma Hepatocelular/metabolismo , Glicoproteínas/metabolismo , Factor de Transcripción Ikaros/metabolismo , Neoplasias Hepáticas/metabolismo , Células Madre Neoplásicas/metabolismo , Péptidos/metabolismo , Antígeno AC133 , Animales , Antígenos CD/genética , Apoptosis , Western Blotting , Carcinoma Hepatocelular/mortalidad , Carcinoma Hepatocelular/patología , Diferenciación Celular , Proliferación Celular , Inmunoprecipitación de Cromatina , Femenino , Citometría de Flujo , Técnica del Anticuerpo Fluorescente , Glicoproteínas/genética , Humanos , Factor de Transcripción Ikaros/genética , Técnicas para Inmunoenzimas , Inmunoprecipitación , Neoplasias Hepáticas/mortalidad , Neoplasias Hepáticas/patología , Masculino , Ratones , Ratones Endogámicos BALB C , Ratones Desnudos , Persona de Mediana Edad , Clasificación del Tumor , Estadificación de Neoplasias , Células Madre Neoplásicas/patología , Péptidos/genética , Pronóstico , ARN Mensajero/genética , Reacción en Cadena en Tiempo Real de la Polimerasa , Reacción en Cadena de la Polimerasa de Transcriptasa Inversa , Transducción de Señal , Tasa de Supervivencia , Células Tumorales Cultivadas , Ensayos Antitumor por Modelo de Xenoinjerto
3.
Zhejiang Da Xue Xue Bao Yi Xue Ban ; 38(2): 163-9, 2009 03.
Artículo en Chino | MEDLINE | ID: mdl-19363824

RESUMEN

OBJECTIVE: To observe the effect of Tanshinone II A on the expression of epidermal growth facter (EGF) and epidermal growth facter recepter (EGFR) in human hepatocellular carcinoma cell line SMMC-7721. METHODS: The human hepatocellular carcinoma SMMC-7721 cells cultured in vitro was treated with different concentrations of Tanshinone II A. The proliferation of the cells was measured by MTT assay, and the apoptosis of the cells was investigated by flow cytometry and cytochemical staining with Hoechst 33342. The expression of EGF and EGFR was detected by immunocytochemistry method. The levels of EGF in medium were measured by radioimmunoassay. RESULT: Tanshinone II A inhibited the growth of SMMC-7721 cells remarkably in a dose-dependent manner. The inhibitory rate reached the peak (72.5%) after 0.5 microg/ml Tanshinone II A was used for 48 h, which was significantly higher than that in the controls (P<0.05). FCM analysis showed that when SMMC-7721 cells were treated with 0.5 microg/ml Tanshinone II A, the apoptosis rates for 24 h, 48 h and 72 h were (4.06+/-0.27)%, (7.58+/-0.56)% and (5.23+/-0.13)%, respectively which were markedly higher than those in the controls (all P<0.01). SMMC-7721 cell apoptosis with cell shrinkage, nuclear chromatin concentration and fragmentation as well as the formation of apoptotic bodies were observed by cytochemical staining when treated with Tanshinone II A. The immunocytochemistry showed that the expressions of EGF and EGFR were down regulated while the concentration of Tanshinone II A was increasing. The high expression rates for EGF and EGFR were 10%, 20%, respectively, and the gray scale was 181.52+/-1.63, 179.37+/-1.59, which were markedly higher than those in the controls (all P<0.05). The levels of EGF in medium measured by radioimmunoassay were decreased significantly after Tanshinone II A treatment. CONCLUSION: Tanshinone II A can inhibit cell proliferation and induce apoptosis in hepatocellular carcinoma cell line SMMC-7721, which may be related to the down-regulation of EGF and EGFR protein expression.


Asunto(s)
Antineoplásicos Fitogénicos/farmacología , Factor de Crecimiento Epidérmico/metabolismo , Receptores ErbB/metabolismo , Neoplasias Hepáticas/metabolismo , Fenantrenos/farmacología , Abietanos , Apoptosis/efectos de los fármacos , Carcinoma Hepatocelular/metabolismo , Carcinoma Hepatocelular/patología , Línea Celular Tumoral , Proliferación Celular , Regulación hacia Abajo/efectos de los fármacos , Factor de Crecimiento Epidérmico/genética , Receptores ErbB/genética , Humanos , Neoplasias Hepáticas/patología
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