Virus adaptation to heparan sulfate comes with capsid stability tradeoff.

Because of high mutation rates, viruses constantly adapt to new environments. When propagated in cell lines, certain viruses acquire positively charged amino acids on their surface proteins, enabling them to utilize negatively charged heparan sulfate (HS) as an attachment receptor. In this study, we used enterovirus A71 (EV-A71) as the model and demonstrated that, unlike the parental MP4 variant, the cell-adapted strong HS-binder MP4-97R/167 G does not require acidification for uncoating and releases its genome in the neutral or weakly acidic environment of early endosomes.

G-: Knowledge graph neural network for structure-free protein-ligand bioactivity prediction.

Protein-ligand interactions (PLIs) determine the efficacy and safety profiles of small molecule drugs. Existing methods rely on either structural information or resource-intensive computations to predict PLI, casting doubt on whether it is possible to perform structure-free PLI predictions at low computational cost. Here we show that a light-weight graph neural network (GNN), trained with quantitative PLIs of a small number of proteins and ligands, is able to predict the strength of unseen PLIs.

Salvage treatments after focal therapy for prostate cancer - a comprehensive review.

Objective: To review the literature on salvage treatments after focal therapy (FT) for prostate cancer (PCa).

Materials And Methods: A non-systematic literature review was conducted on PubMed, Scopus, and Web of Science up to March 15, 2024, for studies that assessed salvage treatment outcomes in patients with recurrent PCa after primary FT. Original prospective and retrospective studies with more than 10 patients were included.

Performance of a Region of Interest-based Algorithm in Diagnosing International Society of Urological Pathology Grade Group ≥2 Prostate Cancer on the MRI-FIRST Database-CAD-FIRST Study.

Background And Objective: Prostate multiparametric magnetic resonance imaging (MRI) shows high sensitivity for International Society of Urological Pathology grade group (GG) ≥2 cancers. Many artificial intelligence algorithms have shown promising results in diagnosing clinically significant prostate cancer on MRI. To assess a region-of-interest-based machine-learning algorithm aimed at characterising GG ≥2 prostate cancer on multiparametric MRI.

Passive Elastography for Clinical HIFU Lesion Detection.

High-intensity Focused Ultrasound (HIFU) is a promising treatment modality for a wide range of pathologies including prostate cancer. However, the lack of a reliable ultrasound-based monitoring technique limits its clinical use. Ultrasound currently provides real-time HIFU planning, but its use for monitoring is usually limited to detecting the backscatter increase resulting from chaotic bubble appearance.

Zone-specific computer-aided diagnosis system aimed at characterizing ISUP ≥ 2 prostate cancers on multiparametric magnetic resonance images: evaluation in a cohort of patients on active surveillance.

Purpose: To assess a region-of-interest-based computer-assisted diagnosis system (CAD) in characterizing aggressive prostate cancer on magnetic resonance imaging (MRI) from patients under active surveillance (AS).

Methods: A prospective biopsy database was retrospectively searched for patients under AS who underwent MRI and subsequent biopsy at our institution. MRI lesions targeted at baseline biopsy were retrospectively delineated to calculate the CAD score that was compared to the Prostate Imaging-Reporting and Data System (PI-RADS) version 2 score assigned at baseline biopsy.

Robot Partial Prostatectomy for Anterior Cancer: Long-term Functional and Oncological Outcomes at 7 Years.

Unlabelled: Partial prostatectomy has been described as an alternative to focal ablation therapy for the management of localized low- to intermediate-risk prostate cancer. This report aims to describe the long-term outcomes in a series of 28 men (2000-2022) who underwent robotic-assisted anterior partial prostatectomy (APP) for anteriorly located tumors entirely or partially within the anterior fibromuscular stroma. The median follow-up is 7 yr (interquartile range [IQR]: 4.

Prognostic value of programmed death ligand-1 and programmed death-1 expression in patients with upper tract urothelial carcinoma.

Objective: To evaluate the prognostic value of programmed death ligand-1 (PD-L1) and programmed death-1 (PD-1) expression in patients with upper tract urothelial carcinoma (UTUC).

Patients And Methods: A retrospective multicentre study was conducted in 283 patients with UTUC treated with radical nephroureterectomy (RNU) between 2000 and 2015 at 10 French hospitals. Immunohistochemistry analyses were performed using 2 mm-core tissue microarrays with NAT105® and 28.

Primary Whole-gland Ablation for the Treatment of Clinically Localized Prostate Cancer: A Focal Therapy Society Best Practice Statement.

Context: Whole-gland ablation is a feasible and effective minimally invasive treatment for localized prostate cancer (PCa). Previous systematic reviews supported evidence for favorable functional outcomes, but oncological outcomes were inconclusive owing to limited follow-up.

Objective: To evaluate the real-world data on the mid- to long-term oncological and functional outcomes of whole-gland cryoablation and high-intensity focused ultrasound (HIFU) in patients with clinically localized PCa, and to provide expert recommendations and commentary on these findings.

Characterization of high-grade prostate cancer at multiparametric MRI using a radiomic-based computer-aided diagnosis system as standalone and second reader.

Purpose: The purpose of this study was to develop and test across various scanners a zone-specific region-of-interest (ROI)-based computer-aided diagnosis system (CAD) aimed at characterizing, on MRI, International Society of Urological Pathology (ISUP) grade≥2 prostate cancers.

Materials And Methods: ROI-based quantitative models were selected in multi-vendor training (265 pre-prostatectomy MRIs) and pre-test (112 pre-biopsy MRIs) datasets. The best peripheral and transition zone models were combined and retrospectively assessed in internal (158 pre-biopsy MRIs) and external (104 pre-biopsy MRIs) test datasets.

Characterization of high-grade prostate cancer at multiparametric MRI: assessment of PI-RADS version 2.1 and version 2 descriptors across 21 readers with varying experience (MULTI study).

Objective: To assess PI-RADSv2.1 and PI-RADSv2 descriptors across readers with varying experience.

Methods: Twenty-one radiologists (7 experienced (≥ 5 years) seniors, 7 less experienced seniors and 7 juniors) assessed 240 'predefined' lesions from 159 pre-biopsy multiparametric prostate MRIs.

Artificial intelligence algorithms aimed at characterizing or detecting prostate cancer on MRI: How accurate are they when tested on independent cohorts? - A systematic review.

Purpose: The purpose of this study was to perform a systematic review of the literature on the diagnostic performance, in independent test cohorts, of artificial intelligence (AI)-based algorithms aimed at characterizing/detecting prostate cancer on magnetic resonance imaging (MRI).

Materials And Methods: Medline, Embase and Web of Science were searched for studies published between January 2018 and September 2022, using a histological reference standard, and assessing prostate cancer characterization/detection by AI-based MRI algorithms in test cohorts composed of more than 40 patients and with at least one of the following independency criteria as compared to the training cohort: different institution, different population type, different MRI vendor, different magnetic field strength or strict temporal splitting.

Results: Thirty-five studies were selected.

En Bloc Kidney Transplantation: A Retrospective Study of an 18-year Experience in a Single Institution.

Background: Renal transplantation is facing a shortage of grafts. En bloc kidney transplantation (EBKT) from pediatric donors could increase the number of available grafts.

Objective: To describe the surgical technique as well as the long-term functional and morphological results of EBKT.

Deep Local Analysis evaluates protein docking conformations with locally oriented cubes.

Motivation: With the recent advances in protein 3D structure prediction, protein interactions are becoming more central than ever before. Here, we address the problem of determining how proteins interact with one another. More specifically, we investigate the possibility of discriminating near-native protein complex conformations from incorrect ones by exploiting local environments around interfacial residues.

Detection of ISUP ≥2 prostate cancers using multiparametric MRI: prospective multicentre assessment of the non-inferiority of an artificial intelligence system as compared to the PI-RADS V.2.1 score (CHANGE study).

Introduction: Prostate multiparametric MRI (mpMRI) has shown good sensitivity in detecting cancers with an International Society of Urological Pathology (ISUP) grade of ≥2. However, it lacks specificity, and its inter-reader reproducibility remains moderate. Biomarkers, such as the Prostate Health Index (PHI), may help select patients for prostate biopsy.

Combined model-based and deep learning-based automated 3D zonal segmentation of the prostate on T2-weighted MR images: clinical evaluation.

Objective: To train and to test for prostate zonal segmentation an existing algorithm already trained for whole-gland segmentation.

Methods: The algorithm, combining model-based and deep learning-based approaches, was trained for zonal segmentation using the NCI-ISBI-2013 dataset and 70 T2-weighted datasets acquired at an academic centre. Test datasets were randomly selected among examinations performed at this centre on one of two scanners (General Electric, 1.

Her2 Expression in Circulating Tumor Cells Is Associated with Poor Outcomes in Patients with Metastatic Castration-Resistant Prostate Cancer.

HER2-dependent signaling may support the development of metastatic castration-resistant prostate cancer (mCRPC) by activating androgen receptor signaling through ligand-independent mechanisms. From 41 mCRPC patients (including 31 treated with Androgen Receptor Signaling Inhibitors [ARSI]), Circulating Tumor Cells (CTCs) were prospectively enriched with AdnaTest platform and analyzed with a multiplexed assay for and mRNA expression. Then, we evaluated the impact of HER2 expression on PSA-response, Progression Free Survival (PFS) and Overall Survival (OS).

Rectourethral Fistula Induced by Localised Prostate Cancer Treatment: Surgical and Functional Outcomes of Transperineal Repair with Gracilis Muscle Flap Interposition.

Background: Transperineal repair of rectourethral fistula (RUF) following prostate cancer treatment with gracilis muscle flap interposition (GMFI) leads to favourable outcomes, but published data are still lacking, notably concerning functional aspects.

Objective: To assess surgical and functional outcomes of this treatment of RUF.

Design, Setting, And Participants: A retrospective study was conducted in two referral hospitals including 21 patients who underwent RUF transperineal repair with GMFI between 2008 and 2020.

One-year Functional Outcomes after Holmium Laser Enucleation of the Prostate (HoLEP): Introduction of a Composite Score (Hexafecta).

Objective: To compare the efficiency (micturition symptoms, continence, erection) and safety of Holmium Laser Enucleation of the Prostate (HoLEP) with a single composite score (the Hexafecta score) one year postprocedure.

Patients And Methods: We conducted a single-center retrospective study including all patients who had undergone HoLEP for the treatment of benign prostate hyperplasia (BPH) between May 2013 and August 2017. Data were obtained preoperatively and at the 6- and 12-month visits.

International Multi-Site Initiative to Develop an MRI-Inclusive Nomogram for Side-Specific Prediction of Extraprostatic Extension of Prostate Cancer.

Background: To develop an international, multi-site nomogram for side-specific prediction of extraprostatic extension (EPE) of prostate cancer based on clinical, biopsy, and magnetic resonance imaging- (MRI) derived data.

Methods: Ten institutions from the USA and Europe contributed clinical and side-specific biopsy and MRI variables of consecutive patients who underwent prostatectomy. A logistic regression model was used to develop a nomogram for predicting side-specific EPE on prostatectomy specimens.

Salvage High-Intensity Focused Ultrasound for Local Recurrence in the Prostatic Bed after Prostatectomy and Adjuvant or Salvage Radiotherapy: Preliminary Results.

Purpose: We sought to report the preliminary results of salvage high-intensity focused ultrasound for locally recurrent prostate cancer in the prostatic bed after radical prostatectomy and adjuvant or salvage radiotherapy.

Materials And Methods: We retrospectively analyzed a single-center cohort of men treated with salvage high-intensity focused ultrasound for locally recurrent prostate cancer after radical prostatectomy and adjuvant or salvage radiotherapy. All patients had a combination of choline positron emission tomography, multiparametric magnetic resonance imaging, and transrectal biopsies to confirm the local recurrence.