Optimalisation de la photothérapie dynamique et de la photodétection de cancers précoces par spectroscopie résolue en temps de luminophores endogènes et exogènes

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Optimized Modeling of Metastatic Triple-Negative Invasive Lobular Breast Carcinoma

Cathrin Brisken, Laura Battista, Georgios Sflomos

Simple Summary Invasive lobular carcinoma (ILC) is the second most common histologic subtype of breast cancer and is often detected at an advanced stage. Up to 30% of ILC cases relapse and present a challenge for treatment. Unfortunately, there are few mod ...

MDPI2023

Investigating the effect of inflammation on the progression of B-cell lymphoma dissemination in the sentinel lymph node

Daniel Molina Romero

Lymphomas are a group of heterogeneous blood cancers that arise from lymphocytes. The two primary clinical classifications of lymphomas are Hodgkin's lymphoma (HL), and non-Hodgkin's lymphoma (NHL). In particular, B-cell lymphoma refers to the malignancies ...

EPFL2023

Development of a novel Chimeric Antigen Receptor (CAR) for its use in Natural Killer (NK) cells for cancer treatment and beyond

Angela Madurga Alonso

The use of CAR technologies has revolutionized cancer treatment. Their unprecedented efficacy against B cell malignancies has opened the doors for a lot of excitement and research in the field. These synthetic receptors are composed of an antigen recogniti ...

EPFL2023

Wideband integrated bioaerosol sensor (WIBS) excited, fluorescent, and hyper-fluorescent particle number concentrations and normalized size distributions (dN/dlogDp) measured in the Swiss container during MOSAiC 2019/2020

Julia Schmale, Ivo Fabio Beck, Alireza Moallemi, Margarida Teles Nogueira Rolo

These datasets contain the total particle number concentrations and normalized size distributions (dN/dlogDp) of excited, fluorescent, and hyper-fluorescent particles of sizes 0.5 to 20 μm (optical diameter). The normalized size distribution datasets are s ...

Zenodo2023

Pan-cancer atlas of somatic core and linker histone mutations

Sebastian Martin Waszak

Recent genomic data points to a growing role for somatic mutations altering core histone and linker histone-encoding genes in cancer. However, the prevalence and the clinical and biological implications of histone gene mutations in malignant tumors remain ...

2023

A PD-L1/EGFR bispecific antibody combines immune checkpoint blockade and direct anti-cancer action for an enhanced anti-tumor response

Jaume Bonet Martinez

Immune checkpoint blockade (ICB) with antibodies has shown durable clinical responses in a wide range of cancer types, but the overall response rate is still limited. Other effective therapeutic modalities to increase the ICB response rates are urgently ne ...

TAYLOR & FRANCIS INC2023

Delivery of mRNA for cancer therapy: progress and prospects

Yi Wang

Synthetic messenger RNA (mRNA)-based therapeutics have emerged as promising candidates for the prevention and treatment of a wide range of diseases and disorders. mRNA possesses notable advantages, including exceptional safety, the capacity to replace vari ...

Elsevier Sci Ltd2023

Microfluidic device combining hydrodynamic and dielectrophoretic trapping for the controlled contact between single micro-sized objects and application to adhesion assays

Philippe Renaud, Arnaud Bertsch, Clémentine Sophie Sarah Lipp

The understanding of cell-cell and cell-matrix interactions via receptor and ligand binding relies on our ability to study the very first events of their contact. Of particular interest is the interaction between a T cell receptor and its cognate peptide-m ...

ROYAL SOC CHEMISTRY2023

Mutation-Attention (MuAt): deep representation learning of somatic mutations for tumour typing and subtyping

Sebastian Martin Waszak

Background: Cancer genome sequencing enables accurate classification of tumours and tumour subtypes. However, prediction performance is still limited using exome-only sequencing and for tumour types with low somatic mutation burden such as many paediatri ...

2023

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