Real-time morphometric analysis of targeted therapy for neuroblastoma cells in monolayer and 3D hydrogels using digital holographic microscopy.

High-risk neuroblastoma (HR-NB) patient treatment is currently insufficient and challenging due to its high clinical, morphological, and genetic heterogeneity as well as the scarcity of available samples for research. We used a gelatin- and silk fibroin-based hydrogel system with cross-linked vitronectin (VN) as an artificial biomimetic three-dimensional (3D) environment to mirror aggressive neuroblastoma (NB) tumors and tested long-term cell response to Cilengitide (CLG). Based on our previous studies and others using the integrin inhibitor CLG as a potential mechanotherapy drug, we show that CLG caused cell detachment in monolayer cultures of -amplified SK-N-BE (2) and -mutated SH-SY5Y human neuroblastoma cell lines.

Characterization of Vitronectin Effect in 3D Ewing Sarcoma Models: A Digital Microscopic Analysis of Two Cell Lines.

Ewing sarcoma (ES) is an aggressive bone and soft-tissue pediatric cancer. High vitronectin (VN) expression has been associated with poor prognosis in other cancers, and we aimed to determine the utility of this extracellular matrix glycoprotein as a biomarker of aggressiveness in ES. Silk fibroin plus gelatin-tyramine hydrogels (HGs) were fabricated with and without cross-linked VN and cultivated with A673 and PDX73 ES cell lines for two and three weeks.

Vitronectin Levels in the Plasma of Neuroblastoma Patients and Culture Media of 3D Models: A Prognostic Circulating Biomarker?

Vitronectin is a glycoprotein present in plasma and the extracellular matrix that is implicated in cell migration. The high amount of vitronectin found in neuroblastoma biopsies has been associated with poor prognosis. Moreover, increased vitronectin levels have been described in the plasma of patients with different cancers.

Digital image analysis workflows for evaluation of cell behavior and tumor microenvironment to aid therapeutic assessment in high-risk neuroblastoma.

Digital pathology and artificial intelligence are promising emerging tools in precision oncology as they provide more robust and reproducible analysis of histologic, morphologic and topologic characteristics of tumor cells and the surrounding microenvironment. This study aims to develop digital image analysis workflows for therapeutic assessment in preclinical in vivo models. For this purpose, we generated pipelines that enable automatic detection and quantification of vitronectin and αvβ3 in heterotopic high-risk neuroblastoma xenografts, demonstrating that digital analysis workflows can be used to provide robust detection of vitronectin secretion and αvβ3 expression by malignant neuroblasts and to evaluate the possibility of combining traditional chemotherapy (etoposide) with extracellular matrix-targeted therapies (cilengitide).

The complexity of cancer immunotherapy illustrated through skin tumors.

Skin tumours are among the cancer types most sensitive to immunotherapy, due to their unique immunogenic features including skin-associated lymphoid tissue, high mutational load, overexpression of tumour antigens, and high frequency of viral antigens. Despite this high immunotherapy response rate, however, ultimately most skin tumours develop similar treatment resistance to most other malignant tumours, which highlights the need for in-depth study of mechanisms of response and resistance to immunotherapy. A bibliographic review of the most recent publications regarding currently in use and emerging biomarkers on skin tumors has been done.