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1.
Oncologist ; 24(6): 812-819, 2019 06.
Article in English | MEDLINE | ID: mdl-30181315

ABSTRACT

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.


Subject(s)
Antineoplastic Combined Chemotherapy Protocols/therapeutic use , Decision Support Systems, Clinical , Evidence-Based Medicine/methods , Medical Oncology/methods , Neoplasms/drug therapy , Adult , Aged , Aged, 80 and over , Antineoplastic Combined Chemotherapy Protocols/standards , Artificial Intelligence , China/epidemiology , Clinical Decision-Making/methods , Disease-Free Survival , Evidence-Based Medicine/standards , Female , Humans , Male , Medical Oncology/standards , Middle Aged , Neoplasms/diagnosis , Neoplasms/mortality , Patient Selection , Practice Guidelines as Topic , Retrospective Studies
2.
Oncotarget ; 5(21): 10621-35, 2014 Nov 15.
Article in English | MEDLINE | ID: mdl-25301737

ABSTRACT

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.


Subject(s)
Antigens, CD/metabolism , Carcinoma, Hepatocellular/metabolism , Glycoproteins/metabolism , Ikaros Transcription Factor/metabolism , Liver Neoplasms/metabolism , Neoplastic Stem Cells/metabolism , Peptides/metabolism , AC133 Antigen , Animals , Antigens, CD/genetics , Apoptosis , Blotting, Western , Carcinoma, Hepatocellular/mortality , Carcinoma, Hepatocellular/pathology , Cell Differentiation , Cell Proliferation , Chromatin Immunoprecipitation , Female , Flow Cytometry , Fluorescent Antibody Technique , Glycoproteins/genetics , Humans , Ikaros Transcription Factor/genetics , Immunoenzyme Techniques , Immunoprecipitation , Liver Neoplasms/mortality , Liver Neoplasms/pathology , Male , Mice , Mice, Inbred BALB C , Mice, Nude , Middle Aged , Neoplasm Grading , Neoplasm Staging , Neoplastic Stem Cells/pathology , Peptides/genetics , Prognosis , RNA, Messenger/genetics , Real-Time Polymerase Chain Reaction , Reverse Transcriptase Polymerase Chain Reaction , Signal Transduction , Survival Rate , Tumor Cells, Cultured , Xenograft Model Antitumor Assays
3.
Zhejiang Da Xue Xue Bao Yi Xue Ban ; 38(2): 163-9, 2009 03.
Article in Chinese | MEDLINE | ID: mdl-19363824

ABSTRACT

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.


Subject(s)
Antineoplastic Agents, Phytogenic/pharmacology , Epidermal Growth Factor/metabolism , ErbB Receptors/metabolism , Liver Neoplasms/metabolism , Phenanthrenes/pharmacology , Abietanes , Apoptosis/drug effects , Carcinoma, Hepatocellular/metabolism , Carcinoma, Hepatocellular/pathology , Cell Line, Tumor , Cell Proliferation , Down-Regulation/drug effects , Epidermal Growth Factor/genetics , ErbB Receptors/genetics , Humans , Liver Neoplasms/pathology
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