Publications by authors named "R Shaco-Levy"

Background: Limited data suggests lower uterine segment involvement (LUSI) in endometrial cancer may be associated with other poor prognostic factors. We assessed the unclear impact of LUSI on prognosis in endometrial cancer.

Method: ology: A revision of pathological samples following surgical staging between the years 2002-2022 was performed and clinical data collected from patients' records.

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Introduction: Transitioning from glass slide pathology to digital pathology for primary diagnostics requires an appropriate laboratory information system, an image management system, and slide scanners; it also reinforces the need for sophisticated pathology informatics including synoptic reporting. Previous reports have discussed the transition itself and relevant considerations for it, but not the selection criteria and considerations for the infrastructure.

Objective: To describe the process used to evaluate slide scanners, image management systems, and synoptic reporting systems for a large multisite institution.

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Accurate predictive biomarkers of response to immune checkpoint inhibitors (ICIs) are required for better stratifying patients with cancer to ICI treatments. Here, we present a new concept for a bioassay to predict the response to anti-PD1 therapies, which is based on measuring the binding functionality of PDL1 and PDL2 to their receptor, PD1. In detail, we developed a cell-based reporting system, called the immuno-checkpoint artificial reporter with overexpression of PD1 (IcAR-PD1) and evaluated the functionality of PDL1 and PDL2 binding in tumor cell lines, patient-derived xenografts, and fixed-tissue tumor samples obtained from patients with cancer.

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Objective: Pathological involvement of cervical conization margins is a risk factor for recurrence, although management of these patients is controversial. We aimed to define risk factors for positive margins and compare recurrence following additional surgical intervention compared to conservative management.

Methods: A retrospective study of all conizations at our center between 2010 and 2019.

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Obesity is a heterogenous condition that affects the life and health of patients to different degrees and in different ways. Yet, most approaches to treat obesity are not currently prescribed, at least in a systematic manner, based on individual obesity sub-phenotypes or specifically-predicted health risks. Adipose tissue is one of the most evidently affected tissues in obesity.

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