Cell-cell interactions underlay organ formation and function during homeostasis. Changes in communication between cells and their surrounding microenvironment are a feature of numerous human diseases, including metabolic disease and neurological disorders. In the past decade, cross-disciplinary research has been conducted to engineer novel synthetic multicellular organ systems in 3D, including organoids, assembloids, and organ-on-chip models. These model systems, composed of distinct cell types, satisfy the need for a better understanding of complex biological interactions and mechanisms underpinning diseases. In this review, we discuss the emerging field of building 3D multicellular systems and their application for modelling the cellular interactions at play in diseases. We report recent experimental and computational approaches for capturing cell-cell interactions as well as progress in bioengineering approaches for recapitulating these complexities ex vivo. Finally, we explore the value of developing such multicellular systems for modelling metabolic, intestinal, and neurological disorders as major examples of multisystemic diseases, we discuss the advantages and disadvantages of the different approaches and provide some recommendations for further advancing the field.
The molecular, histopathological, genomic and transcriptomic characteristics of uveal melanoma (UM) have identified four molecular subgroups with different clinical outcomes. Despite the improvements in UM classification and biological pathology, current treatments do not reduce the occurrence of metastasis. The development of effective adjuvant and metastatic therapies for UM has been slow and extremely limited. Preclinical models that closely resemble the molecular and genetic UM subgroups are essential for translating molecular findings into improved clinical treatment. In this review, we provide a retrospective view of the existing preclinical models used to study UM, and give an overview of their strengths and limitations. We review targeted therapy clinical trial data to evaluate the gap in the translation of preclinical findings to human studies. Reflecting on the current high attrition rates of clinical trials for UM, preclinical models that effectively recapitulate the human in vivo situation and/or accurately reflect the subtype classifications would enhance the translational impact of experimental data and have crucial implications for the advancement of personalised medicine.
e13019 Background: The introduction of anti-HER2 therapies such as trastuzumab for HER2+ metastatic breast cancer (MBC) has led to significant improvements to disease progression. We and others have reported long-term durable complete response to trastuzumab in patients with HER2+ MBC. We hypothesise that genomic copy number alteration (CNA) and tumour mutational burden (TMB) may act as a prognostic measure of predicting response to trastuzumab in long-term survivors (LTS) compared to short-term survivors (STS). Using whole-genome sequencing (WGS) to detect these alterations, we aim to identify the molecular characteristics of primary and metastatic lesions in patients with metastatic HER2+ breast cancer. Methods: WGS was performed on samples from two patients from a HER2+ MBC cohort; a of long-term survivor (PFS 27 months; OS > 60 months) and a short-term survivor (PFS 4 months; OS < 14 months). Primary tumours, adjacent normal tissue and metastases were sequenced at a mean depth of 60X. Reads were aligned on the hg38 reference genome using Burrows-Wheeler Aligner (bwa), CNA were detected using Control-FREEC to evaluate total CNA burden. Single nucleotide variants were detected using GATK Mutect2 to calculate TMB. Results: Analysis of DNA chromosome disruption (fraction of the genome amplified/deleted) revealed a higher overall fraction of disrupted genome in the LTS primary tumour and metastasis compared with the STS (0.061 and 0.064 vs 0.031 and 0.047, respectively). Further delineation of the distribution of CNA burden in all genomes identified chr1 as the most altered in the STS samples whereas chr17 was the most disrupted in the LTS samples. HER2 and CDK12 were amplified in both LTS and STS samples (4 copies in LTS primary tumour and metastasis, 18 and 14 copies in STS primary tumour and metastasis respectively). A high TMB was estimated in both samples but was higher in the STS primary tumour than in the LTS one (161 vs 142, respectively). TMB was increased in LTS metastatic lesions. NRAS mutation was found in LTS primary tumour but was lost in the metastasis. Conclusions: This pilot study highlights the potential for whole-genome sequencing to identify CNA and TMB in HER2+ MBC in patients who display long-term and short-term survival. Further samples from this cohort need to be studied to investigate the relationship between CNA burden and HER2+ MBC patient survival.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
hi@scite.ai
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.