Publication

Studies toward new anti-cancer strategies based on alpha-mannosidase inhibition

Publications associées (30)

Cancer hallmarks intersect with neuroscience in the tumor microenvironment

The mechanisms underlying the multistep process of tumorigenesis can be distilled into a logical framework involving the acquisition of functional capabilities, the so-called hallmarks of cancer, which are collectively envisaged to be necessary for maligna ...

CELL PRESS2023

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

Medical and Personal Characteristics Can Predict the Risk of Lung Metastasis

Michele De Palma, Nahal Mansouri

Aims: Understanding the correlations between underlying medical and personal characteristics of a patient with cancer and the risk of lung metastasis may improve clinical management and outcomes. We used machine learning methodologies to predict the risk o ...

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

Metabolic dependencies of metastasis-initiating cells in female breast cancer

Jörg Hülsken, Albert Santamaria Martinez, Pierre Vincent Dessen, Laurent Nam Ky Beziaud, Candice Megan T Young, Angela Madurga Alonso

Understanding the mechanisms that enable cancer cells to metastasize is essential in preventing cancer progression. Here we examine the metabolic adaptations of metastasis-initiating cells (MICs) in female breast cancer and how those shape their metastatic ...

Nature Portfolio2023

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

Comparative Evaluation of Lipofectamine and Dendrimer for Transfection of Short RNA Into Human T47D and MCF-10A Cell Lines

Erfan Shirzadi

Purpose: Non-viral transfection approaches are extensively used in cancer therapy. The future of cancer therapy lies on targeted and efficient drug/gene delivery. The aim of this study was to determine the transfection yields of two commercially available ...

2023

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

Metabolic dependencies of metastasis-initiating cells in breast cancer

Candice Megan T Young

Metastasis is the process by which cancer cells from the primary tumor travel through the blood stream to generate a secondary tumor site in a distant organ. Although very few cells are able to make this journey, the resulting effects are dire since most c ...

EPFL2023

CellCharter reveals spatial cell niches associated with tissue remodeling and cell plasticity

Albert Santamaria Martinez, Giovanni Ciriello, Daniele Tavernari

Tissues are organized in cellular niches, the composition and interactions of which can be investigated using spatial omics technologies. However, systematic analyses of tissue composition are challenged by the scale and diversity of the data. Here we pres ...

Nature Portfolio2023