Reactivation of hepatitis B virus with immune-escape mutations after ocrelizumab treatment for multiple sclerosis

Ocrelizumab is an anti-CD20 monoclonal antibody for the treatment of multiple sclerosis (MS) that is closely related to rituximab. We describe a case of hepatitis B virus (HBV) reactivation in an MS patient with resolved HBV infection receiving ocrelizumab. HBV reactivation was monitored with HBV-DNA and HBV surface antigen periodic assessment. Anti-HBV treatment with entecavir was started after HBV-DNA detection. Ocrelizumab can reactivate viral replication in patients with resolved HBV infection. HBV reactivation monitoring seems an effective and safe option for the management of these patients. More studies are needed to assess the optimal management of HBV reactivation in MS patients on ocrelizumab treatment

Reactivation of hepatitis B virus with immune-escape mutations after ocrelizumab treatment for multiple sclerosis

Ocrelizumab is an anti-CD20 monoclonal antibody for the treatment of multiple sclerosis (MS) that is closely related to rituximab. We describe a case of hepatitis B virus (HBV) reactivation in an MS patient with resolved HBV infection receiving ocrelizumab. HBV reactivation was monitored with HBV-DNA and HBV surface antigen periodic assessment. Anti-HBV treatment with entecavir was started after HBV-DNA detection. Ocrelizumab can reactivate viral replication in patients with resolved HBV infection. HBV reactivation monitoring seems an effective and safe option for the management of these patients. More studies are needed to assess the optimal management of HBV reactivation in MS patients on ocrelizumab treatment

Event reconstruction for KM3NeT/ORCA using convolutional neural networks

The KM3NeT research infrastructure is currently under construction at two locations in the Mediterranean Sea. The KM3NeT/ORCA water-Cherenkov neutrino detector off the French coast will instrument several megatons of seawater with photosensors. Its main objective is the determination of the neutrino mass ordering. This work aims at demonstrating the general applicability of deep convolutional neural networks to neutrino telescopes, using simulated datasets for the KM3NeT/ORCA detector as an example. To this end, the networks are employed to achieve reconstruction and classification tasks that constitute an alternative to the analysis pipeline presented for KM3NeT/ORCA in the KM3NeT Letter of Intent. They are used to infer event reconstruction estimates for the energy, the direction, and the interaction point of incident neutrinos. The spatial distribution of Cherenkov light generated by charged particles induced in neutrino interactions is classified as shower- or track-like, and the main background processes associated with the detection of atmospheric neutrinos are recognized. Performance comparisons to machine-learning classification and maximum-likelihood reconstruction algorithms previously developed for KM3NeT/ORCA are provided. It is shown that this application of deep convolutional neural networks to simulated datasets for a large-volume neutrino telescope yields competitive reconstruction results and performance improvements with respect to classical approaches

Event reconstruction for KM3NeT/ORCA using convolutional neural networks

The KM3NeT research infrastructure is currently under construction at two locations in the Mediterranean Sea. The KM3NeT/ORCA water-Cherenkov neutrino de tector off the French coast will instrument several megatons of seawater with photosensors. Its main objective is the determination of the neutrino mass ordering. This work aims at demonstrating the general applicability of deep convolutional neural networks to neutrino telescopes, using simulated datasets for the KM3NeT/ORCA detector as an example. To this end, the networks are employed to achieve reconstruction and classification tasks that constitute an alternative to the analysis pipeline presented for KM3NeT/ORCA in the KM3NeT Letter of Intent. They are used to infer event reconstruction estimates for the energy, the direction, and the interaction point of incident neutrinos. The spatial distribution of Cherenkov light generated by charged particles induced in neutrino interactions is classified as shower-or track-like, and the main background processes associated with the detection of atmospheric neutrinos are recognized. Performance comparisons to machine-learning classification and maximum-likelihood reconstruction algorithms previously developed for KM3NeT/ORCA are provided. It is shown that this application of deep convolutional neural networks to simulated datasets for a large-volume neutrino telescope yields competitive reconstruction results and performance improvements with respect to classical approaches

Preferences of Patients with Advanced Colorectal Cancer for Treatment with Oral or Intravenous Chemotherapy

Background: In recent years, patient-reported outcomes such as health-related quality of life have become important areas of clinician focus in general cancer management. Patients' preferences for, and/or satisfaction with, oral versus intravenous (IV) chemotherapy schedules may have a major impact on such outcomes. Objective: To evaluate preferences for oral or IV chemotherapy in patients with advanced colorectal cancer. Methods: A multicenter, randomized, crossover trial was conducted in 12 hospitals in Southern Italy, in which 22 patients with advanced colorectal cancer received one cycle of oral capecitabine +- irinotecan or oxaliplatin, followed by one cycle of an IV de Gramont or similar regimen (arm A), or the same regimens in reverse order (arm B). Patients were aged 50-70 years and 21% had a higher level of education (graduate or similar). Patients received oral capecitabine 3500 mg/m2/day for 7 days (+- irinotecan 180 mg/m2 or oxaliplatin 85 mg/m2 on day 1 only), followed by an IV de Gramont regimen +- irinotecan (FOLFIRI) or oxaliplatin (FOLFOX); or the two schedules administered in reverse order. The main outcome measure was patients' preferences for oral versus IV chemotherapy, as determined by a pre- and post-treatment therapy preference questionnaire (TPQ). Results: Before treatment, 75% of patients preferred oral therapy. Characteristics that patients considered to be important were that treatment should not interfere with daily activities (100% of patients) and should not cause fatigue (95%), diarrhea (76%), or painful mouth ulcers (76%); other factors considered important were the risk of infection and nausea (90%), and that treatment could be administered at home (65%). After receiving both chemotherapy schedules, only 45% of patients preferred oral therapy, while 55% preferred IV therapy. Among the latter, the most important characteristics influencing treatment choice were less nausea (66%), fewer mood effects (65%), the safety of hospital IV treatment (62%), less interference with family relationships (55%), less vomiting (55%), less interference with daily activities (50%), and less diarrhea (50%). Although the order in which patients received therapy did not influence treatment preference, significantly fewer patients with a lower rather than higher educational level preferred oral therapy (47% vs 80%; chi-square test = 9.9; p_=_0.002). Conclusion: These results suggest that there may be a correlation between educational level and the preference of patients with advanced colorectal cancer for oral or IV chemotherapy. DOI: 10.2165/1312067-200801030-00005Adverse-drug-reactions, Antineoplastics, Colorectal-cancer, Intravenous, Oral, Patient-preference

« La grâce de montrer son âme dans le vêtement » Scrivere di tessuti, abiti, accessori. Studi in onore di Liana Nissim

Eminente francesista, Liana Nissim ha dedicato la sua intensa attività di ricerca al XIX secolo, in particolare a Gustave Flaubert e Stéphane Mallarmé. I suoi studi si sono concentrati anche sulle letterature francofone dell’Africa Nera e del Québec, che ha contribuito a introdurre in Italia e a diffondere su scala internazionale. Questo trittico di volumi « La grâce de montrer son âme dans le vêtement ». Scrivere di tessuti, abiti e accessori illustra e approfondisce in molteplici direzioni una tematica a lei cara e ampiamente presente nei suoi lavori. Tramite la ricchezza delle metodologie e delle prospettive critiche, la comunità scientifica che ha condiviso con lei la passione per la ricerca e la dedizione alla vita universitaria vuole renderle un omaggio riconoscente