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4篇 您的检索式:作者名="Michele Cilli"
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1Oct 4+/Tenascin C+ neuroblastoma cells serve as progenitors of tumor-derived endothelial cells显示文摘Neuroblastoma (NB ) 联系了 endothelial microvessels (他们) 可以被导出肿瘤的 endothelial 房间(侦探) 衬里,那是遗传上不稳定的并且 chemoresistant。这里,我们由集中于 Octamer 有约束力的抄写因素 4 在 NB 探讨了侦探祖先的鉴定(Oct-4 ) 作为一个通常认为的标记。Oct-4 + 房间在主要 NB 样品被检测(n = 23 ) ,变形骨头髓把发成送气音(n = 10 ) , NB 房间线(n = 4 ) ,并且 orthotopic 肿瘤(n = 10 ) 在 immunodeficient 老鼠由 HTLA-230 NB 房间线形成了。大多数 Oct-4 + 房间显示出 perivascular 分布,与他们中的 5% 个一起在 perinecrotic 区域的 homing。自从他们与恶意的房间分享了 MYCN oncogene 的扩大,所有 Oct-4 + 房间是导出肿瘤的。表示的 Perivascular Oct-4 + 细胞起源房间相关的、神经祖先相关、 NB 相关的标记包括表面 Tenascin C (TNC ) ,那不在 perinecrotic Oct-4 + 细胞和体积肿瘤细胞。在 vitro 区分进在包含脉管的 endothelial 生长因素(VEGF ) 的媒介在文化之上表示 vascular-endothelial-cadherin,前列腺特定的膜抗原和 CD31 的象 endothelial 一样房间的 TNC + 然而并非 TNC HTLA-230 房间。TNC + 然而并非 TNC HTLA-230 房间形成了 neurospheres 什么时候在没有浆液的媒介有教养。房间部分是 tumorigenic,但是仅仅肿瘤由包含的他们由侦探衬里的 TNC + 房间形成了。在结论,我们在 NB 肿瘤识别了包含 Oct-4 + 肿瘤房间的二个通常认为的壁龛。Oct-4 +/TNC+ perivascular NB 房间显示了粘性的高度并且用作侦探的祖先。Oct4 +/TNC+ 祖先的治疗学的指向可以抵抗导出 NB 的 EC 的贡献到肿瘤恶化和 chemoresistance。Annalisa Pezzolo Federica Parodi Danilo MarimPietri Lizzia Raffaghello Claudia Cocco Angela Pistorio Manuela Mosconi Claudio Gambini Michele Cilli Silvia Deaglio Fabio Malavasi Vito Pistoia 2011Cell Research2011,21,10:2
2DNA vaccination against the ovarian carcinoma-associated antigen folate receptor a (FRa) induces cytotoxic T lymphocyte and anti- body responses in mice显示文摘Francesca Neglia 1 Anna Mafia Orengo 1 Michele Cilli 1999Cancer Gelze Therapy1999,6,4:1
3Three-dimensional imaging reconstruction of the kidney’s anatomy for a tailored minimally invasive partial nephrectomy:A pilot study显示文摘Objective:The aim of the study was to evaluate three-dimensional virtual models(3DVMs)usefulness in the intraoperative assistance of minimally-invasive partial nephrectomy in highly complex renal tumors.Methods:At our institution cT1-2N0M0 all renal masses with Preoperative Aspects and Dimensions Used for an Anatomical classification score≥10 treated with minimally-invasive partial nephrectomy were considered for the present study.For inclusion a baseline contrast-enhanced computed tomography in order to obtain 3DVMs,the baseline and postoperative serum creatinine as well as estimated glomerular filtration rate values were needed.These patients,in which 3DVMs were used to assist the surgeon in the planning and intraoperative guidance,were then compared with a control group of patients who underwent minimally-invasive partial nephrectomy with the same renal function assessments,but without 3DVMs.Multivariable logistic regression models were used to predict the margin,ischemia,and complication score achievement.Results:Overall,79 patients met the inclusion criteria and were compared with 143 complex renal masses without 3DVM assistance.The 3DVM group showed better postoperative outcomes in terms of baseline-weighted differential estimated glomerular filtration rate(-17.7%vs.-22.2%,p=0.03),postoperative complications(16.5%vs.23.1%,p=0.03),and major complications(Clavien Dindo>III,2.5%vs.5.6%,p=0.03).At multivariable logistic regression 3DVM assistance independently predicted higher rates of successful partial nephrectomy(odds ratio:1.42,p=0.03).Conclusion:3DVMs represent a useful tool to plan a tailored surgical approach in case of surgically complex masses.They can be used in different ways,matching the surgeon's needs from the planning phase to the demolitive and reconstructive phase,leading towards maximum safety and efficacy outcomes.Daniele Amparore Angela Pecoraro Federico Piramide Paolo Verri Enrico Checcucci Sabrina De Cillis Alberto Piana Mariano Burgio Michele Di Dio Matteo Manfredi Cristian Fiori Francesco Porpiglia 2022Asian Journal of Urology2022,9,3:1
4Three-dimensional automatic artificial intelligence driven augmented-reality selective biopsy during nerve-sparing robot-assisted radical prostatectomy:A feasibility and accuracy study显示文摘Objective:To evaluate the accuracy of our new three-dimensional(3D)automatic augmented reality(AAR)system guided by artificial intelligence in the identification of tumour’s location at the level of the preserved neurovascular bundle(NVB)at the end of the extirpative phase of nerve-sparing robot-assisted radical prostatectomy.Methods:In this prospective study,we enrolled patients with prostate cancer(clinical stages cT1ce3,cN0,and cM0)with a positive index lesion at target biopsy,suspicious for capsular contact or extracapsular extension at preoperative multiparametric magnetic resonance imaging.Patients underwent robot-assisted radical prostatectomy at San Luigi Gonzaga Hospital(Orbassano,Turin,Italy),from December 2020 to December 2021.At the end of extirpative phase,thanks to our new AAR artificial intelligence driven system,the virtual prostate 3D model allowed to identify the tumour’s location at the level of the preserved NVB and to perform a selective excisional biopsy,sparing the remaining portion of the bundle.Perioperative and postoperative data were evaluated,especially focusing on the positive surgical margin(PSM)rates,potency,continence recovery,and biochemical recurrence.Results:Thirty-four patients were enrolled.In 15(44.1%)cases,the target lesion was in contact with the prostatic capsule at multiparametric magnetic resonance imaging(Wheeler grade L2)while in 19(55.9%)cases extracapsular extension was detected(Wheeler grade L3).3D AAR guided biopsies were negative in all pathological tumour stage 2(pT2)patients while they revealed the presence of cancer in 14 cases in the pT3 cohort(14/16;87.5%).PSM rates were 0%and 7.1%in the pathological stages pT2 and pT3(<3 mm,Gleason score 3),respectively.Conclusion:With the proposed 3D AAR system,it is possible to correctly identify the lesion’s location on the NVB in 87.5%of pT3 patients and perform a 3D-guided tailored nerve-sparing even in locally advanced diseases,without compromising the oncological safety in terms of PSM rates.Enrico Checcucci Alberto Piana Gabriele Volpi Pietro Piazzolla Daniele Amparore Sabrina De Cillis Federico Piramide Cecilia Gatti Ilaria Stura Enrico Bollito Federica Massa Michele Di Dio Cristian Fiori Francesco Porpiglia 2023Asian Journal of Urology2023,10,4:0
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