Publications by authors named "E Biskup"

Article Synopsis
  • Epithelial ovarian cancer, especially high-grade serous ovarian cancer, poses serious health risks due to late-stage diagnoses caused by vague symptoms; biomarkers are essential for early detection and personalized treatment.
  • The study utilized the Infinium EPIC Methylation array to compare methylation profiles of 48 ovarian samples, applying statistical methods to uncover specific CpG sites that differentiate between HGSOC and benign tumors.
  • A total of 21 differentially methylated probes (DMPs) were identified, leading to a predictive model that effectively distinguishes between benign and malignant ovarian disease, with potential applications in other diseases as well.
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Information about cell composition in tissue samples is crucial for biomarker discovery and prognosis. Specifically, cancer tissue samples present challenges in deconvolution studies due to mutations and genetic rearrangements. Here, we optimized a robust, DNA methylation-based protocol, to be used for deconvolution of ovarian cancer samples.

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Background: Systemically delivered hedgehog inhibitors including vismodegib and sonidegib are widely used to treat basal cell carcinomas (BCCs). Ablative fractional laser (AFL)-assisted topical delivery of vismodegib has been demonstrated in preclinical studies. The aim of this explorative clinical study was to evaluate intratumoral vismodegib concentrations and effect on hedgehog pathway gene expression following AFL-assisted topical vismodegib delivery to BCCs.

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Trastuzumab and pertuzumab with taxane-based chemotherapy are considered the first-line standard therapy for human epidermal growth factor receptor 2 ()-positive metastatic breast cancer (mBC). Pertuzumab is also a later-line therapy for mBC in Switzerland, although limited safety and efficacy data are available. The present study assessed the therapeutic regimens, toxicities and clinical outcomes after second- or later-line pertuzumab therapy in patients with mBC who did not receive pertuzumab as a first-line therapy.

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Extracellular vesicles (EVs) show potential as a therapeutic tool for peripheral nerve injury (PNI), promoting neurological regeneration. However, there are limited data on the spatio-temporal trafficking and biodistribution of EVs. In this study, we introduce a new non-invasive near-infrared fluorescence imaging strategy based on glucose-conjugated quantum dot (QDs-Glu) labeling to target and track EVs in a sciatic nerve injury rat model in real-time.

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