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Circulating cytokines and outcome in metastatic colorectal cancer patients treated with regorafenib

World Journal of Gastrointestinal Oncology 2020年第3期12卷 301-310页

作者： Vincenzo Ricci Cristina Granetto Antonella Falletta Matteo Paccagnella Andrea Abbona elena fea Teresa Fabozzi Cristiana Lo Nigro Marco Carlo Merlano Medical Oncology and Laboratory of Translational Oncology Oncology DepartmentS.Croce and Carle Teaching Hospital CuneoCuneo 12100Italy Arco Cuneo Foundation Cuneo 12100Italy Medical Oncology S.G.Bosco HospitalTorino 10154Italy S.Croce and Carle Teaching Hospital Cuneo Cuneo 12100Italy

BACKGROUND Regorafenib is an oral small-molecule multikinase inhibitor approved in third or later line of treatment for patients with metastatic colorectal cancer(mCRC).Regorafenib has shown significant benefits in overall survival and progression free survival in two phase III trials compared to placebo in patients with mCRC who had progressed on previous *** To identify an immune profile that might specifically correlate with the outcome in patients treated with *** Blood samples were collected from 17 patients before treatment with regorafenib and from 6 healthy *** proteins evaluated(TNF-α,TGF-β,VEGF,CCL-2,CCL-4,and CCL-5)were selected on the basis of their roles in angiogenesis and colorectal cancer *** We found that TNF-αbasal level was significantly higher in mCRC patients compared to healthy *** Responder(NR)patients showing progression of disease(n=12)had higher basal level of TGF-β,TNF-α,VEGF,CCL-2 and CCL-5 compared to Responder(R)patients(complete response CR,n=1;partial response PR,n=1;Stable Disease SD,n=3).On the contrary,plasma basal level of CCL-4 was higher in R compared to NR *** values of TGF-βand TNF-αnegatively correlated with progression free *** These results suggest a cytokine signature potentially able to discriminate between R and NR patients to treatment with regorafenib.

关键词： Colorectal cancer Multikinase inhibitor Cytokines Angiogenesis

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First-line pazopanib in patients with advanced non-clear cell renal carcinoma:An Italian case series

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World Journal of Clinical Oncology 2021年第11期12卷 1037-1046页

作者： Sebastiano Buti Melissa Bersanelli Francesco Massari Ugo De Giorgi Orazio Caffo Gaetano Aurilio Umberto Basso Giacomo Carteni Claudia Caserta Luca Galli Francesco Boccardo Giuseppe Procopio Gaetano Facchini Giuseppe Fornarini Alfredo Berruti elena fea Emanuele Naglieri Fausto Petrelli Roberto Iacovelli Camillo Porta Alessandra Mosca Medical Oncology Unit University Hospital of ParmaParma 43126Italy Medicine and Surgery Department University of ParmaParma 43126Italy Division of Oncology Policlinico Sant’Orsola-Malpighi HospitalBologna 40138Italy Department of Oncology IRCCS Istituto Scientifico Romagnolo per lo Studio e la Cura dei Tumori(I.R.S.T.)Meldola 47014Italy Department of Medical Oncology Santa Chiara HospitalTrento 38122Italy Department of Medical Oncology Division of Urogenital and Head and Neck TumoursEuropean Institute of Oncology IRCCSMilan 20141Italy Medical Oncology Unit 3 Istituto Oncologico Veneto IOV IRCCSCastelfranco VenetoPadova 31033Italy Division of Oncology Azienda Ospedaliera di Rilievo Nazionale A.CardarelliNapoli 80131Italy Medical Oncology Unit Azienda Ospedaliera S.MariaTerni 05100Italy Oncology Unit 2 University Hospital of PisaPisa 56126Italy Academic Unit of Medical Oncology IRCCS San Martino Polyclinic HospitalGenova 16132Italy Medical Oncology Genitourinary Section Fondazione IRCCS Istituto Nazionale Dei TumoriMilan 20133Italy Departmental Unit of Clinical and Experimental Uro-Andrologic Oncology Istituto Nazionale Tumori IRCCS Fondazione G.PascaleNapoli 80131Italy Medical Oncology Unit Istituto di Ricovero e Cura a Carattere Scientifico(IRCCS)Ospedale Policlinico San MartinoGenova 16132Italy University of Brescia ASST-Spedali CiviliBresciaBrescia 25123Italy Medical Oncology Unit S Croce and Carle Teaching HospitalCuneo 12100Italy Division of Medical Oncology Istituto Tumori G Paolo IIIRCCSBari 70124Italy Medical Oncology Unit ASST Bergamo OvestTreviglioBergamo 24047Italy Medical Oncology Unit Fondazione Policlinico Universitario Agostino Gemelli IRCCSRome 00161Italy Division of Oncology AOU Consorziale Policlinico di BariBari 70124Italy Department of Biomedical Sciences and Human Oncology University of Bari"A.Moro"Bari 70124Italy Multidisciplinary Outpatient Oncology Clinic Candiolo Cancer InstituteFPO-IRCCSCandioloTurin 10060Italy

BACKGROUND Non-clear cell(ncc)metastatic renal-cell carcinoma(RCC)has dismal results with standard systemic therapies and a generally worse prognosis when compared to its clear-cell *** systemic combination therapies have emerged for metastatic RCC(mRCC),but the pivotal phase III trials excluded patients with nccRCC,which constitute about 30%of metastatic RCC *** To provide a piece of real-life evidence on the use of pazopanib in this patient *** The present study is a multicenter retrospective observational analysis aiming to assess the activity,efficacy,and safety of pazopanib as first-line therapy for advanced nccRCC patients treated in a real-life *** Overall,48 patients were *** the median follow-up of 40.6 mo,the objective response rate was 27.1%,the disease control rate was 83.3%,and the median progression-free survival and overall survival were 12.3(95%confidence interval[CI]:3.6-20.9)and 27.7(95%CI:18.2-37.1)mo,*** 3 adverse events occurred in 20%of patients,and no grade 4 or 5 toxicities were *** Pazopanib should be considered as a good first-line option for metastatic RCC with variant histology.

关键词： Pazopanib Non-clear cell Kidney cancer Renal-cell carcinoma Variant histology Tyrosine kinase inhibitors

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Artificial neural network aided real-time simulation of electric traction system

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Energy and AI 2020年第1期1卷 105-116页

作者： Hao Bai Chen Liu elena Breaz Fei Gao FEMTO-ST Institute Universite Bourgogne Franche-ComteUTBMCNRSRue Ernest Thierry MiegF-90010 BelfortFrance FCLAB Universite Bourgogne Franche-ComteUTBMCNRSRue Ernest Thierry MiegF-90010 BelfortFrance School of Electrical Engineering Zhengzhou University450001 ZhengzhouChina Technical University of Cluj-Napoca 400604 Cluj-NapocaRomania

Real-time simulation-based validation plays an essential role in the early stage development of electric traction *** high-fidelity real-time simulation relies on the accurate modeling of the power electronics and motors and usually represents the nonlinear characteristics as many as possible while obeying the computing time *** this paper,an artificial neural network(ANN)aided modeling approach is proposed for the field-programmable gate array(FPGA)-based real-time simulation to deal with the nonlinearities in permanent magnet synchronous motor(PMSM)and its *** the help of the ANN,the switches power losses,and the PMSM nonlinear flux linkage and electromagnetic torque can be *** electro-thermal model of inverters and the finite element analysis(fea)-based PMSM model are thus enabled in the FPGA-based real-time simulation,which can significantly improve the performances of the real-time simulation-based test bench.A two-level inverter fed PMSM drive system is modeled using the ANN-aided modeling approach and simulated in the National Instrument PXIe FlexRIO FPGA real-time *** accuracy and effectiveness of the proposed approaches are tested and validated by comparing the results with the offline simulation tools.

关键词： Real-time system Artificial neural network Permanent magnet synchronous motor (PMSM) Power losses Field-programmable gate array(FPGA)

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