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Antwerp University

2 ARTICLES PUBLISHED IN JoVE

Medicine

Exosomal miRNA Analysis in Non-small Cell Lung Cancer (NSCLC) Patients' Plasma Through qPCR: A Feasible Liquid Biopsy Tool

Marco Giallombardo^*1,2, Jorge Chacártegui Borrás^*2,3, Marta Castiglia⁴, Nele Van Der Steen³, Inge Mertens^5,6, Patrick Pauwels^7,3, Marc Peeters^8,3, Christian Rolfo^2,3

¹Department of Biopathology and Medical Biotechnology, Section of Biology and Genetics, University of Palermo, ²Phase I-Early Clinical Trials Unit, Oncology Department, Antwerp University Hospital (UZA), ³Center for Oncological Research (CORE), Antwerp University, ⁴Department of Surgical, Oncological and Oral Sciences, Section of Medical Oncology, University of Palermo, ⁵Flemish Institute for Technological Research (VITO), ⁶CORE, Campus Groenenborger, Antwerp University, ⁷Molecular Pathology, Pathology Department, Antwerp University Hospital (UZA), ⁸Oncology Department, Antwerp University Hospital (UZA)

This protocol describes the feasibility to perform miRNA profiling in exosomes, released in plasma of NSCLC patients, through a commercial exosome isolation kit with Proteinase K and RNAse treatments, in order to avoid circulating miRNAs contamination and evaluate their biomarker features in NSCLC.

Cancer Research

Multiparametric Tumor Organoid Drug Screening Using Widefield Live-Cell Imaging for Bulk and Single-Organoid Analysis

Maxim Le Compte¹, Edgar Cardenas De La Hoz², Sofía Peeters¹, Evelien Smits¹, Filip Lardon¹, Geert Roeyen^1,3, Steve Vanlanduit², Hans Prenen^1,4, Marc Peeters^1,4, Abraham Lin^1,5, Christophe Deben¹

¹Center for Oncological Research (CORE), Integrated Personalized & Precision Oncology Network (IPPON), University of Antwerp, ²Industrial Vision Lab, University of Antwerp, ³Department of Hepatobiliary Transplantation and Endocrine Surgery, University Hospital Antwerp (UZA), ⁴Department of Oncology, University Hospital Antwerp (UZA), ⁵Plasma Lab for Applications in Sustainability and Medicine ANTwerp (PLASMANT), University of Antwerp

This protocol describes a semi-automated method for medium- to high-throughput organoid drug screenings and microscope-agnostic, automated image analysis software to quantify and visualize multiparametric, single-organoid drug responses to capture intratumor heterogeneity.