Publications by authors named "R Petry"

Graphene oxide (GO) undergoes multiple transformations when introduced to biological and environmental media. GO surface favors the adsorption of biomolecules through different types of interaction mechanisms, modulating the biological effects of the material. In this study, we investigated the interaction of GO with tannic acid (TA) and its consequences for GO toxicity.

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In this case, a woman in her 80s presented to the emergency department with signs and symptoms of acute pancreatitis that began after starting a course of doxycycline. Common aetiologies of acute pancreatitis, including alcohol use, gallstones and hypertriglyceridaemia were ruled out. Less common aetiologies, including recent Endoscopic Retrograde Cholangiopancreatography (ERCP) procedure, hypercalcaemia, malignancy, infection and trauma, were also ruled out, making drug-induced acute pancreatitis the most likely aetiology.

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Purpose: Enzalutamide after abiraterone progression is commonly used in metastatic castration-resistant prostate cancer despite a low rate of clinical benefit. Analyzing IMbassador250, a phase III trial assessing enzalutamide with or without atezolizumab after abiraterone, we hypothesized that baseline and early changes in circulating tumor DNA (ctDNA) tumor fraction (TF) may identify patients more likely to exhibit survival benefit from enzalutamide.

Experimental Design: ctDNA was quantified from plasma samples using a tissue-agnostic assay without buffy coat sequencing.

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The expression of myoglobin (MB), well known as the oxygen storage and transport protein of myocytes, is a novel hallmark of the luminal subtype in breast cancer patients and correlates with better prognosis. The mechanisms by which MB impacts mammary tumorigenesis are hitherto unclear. We aimed to unravel this role by using CRISPR/Cas9 technology to generate MB-deficient clones of MCF7 and SKBR3 breast cancer cell lines and subsequently characterize them by transcriptomics plus molecular and functional analyses.

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Article Synopsis
  • Understanding microscopic attributes in nanocomposites helps improve and speed up system designs.
  • This study focuses on the binding strength between graphene oxide and cellulose, utilizing first-principles calculations combined with machine learning.
  • We classify the systems by binding energies and validate our findings through theoretical X-ray photoelectron spectroscopy, ultimately offering a framework for better control of graphene oxide/cellulose interactions.
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