scholarly journals Modeling breast cancer by grafting patient tumor samples in the avian embryo: an in vivo platform for therapy evaluation coupled to large scale molecular analyses

2021 ◽  
Author(s):  
Loraine Jarrosson ◽  
Clélia Costechareyre ◽  
Fanny Gallix ◽  
Séverine Ciré ◽  
Fabien Gay ◽  
...  

AbstractLack of preclinical patient-derived xenograft (PDX) cancer models in which to conduct large scale molecular studies seriously impairs the development of effective personalized therapies. We report here on an in vivo concept consisting of implanting human tumor cells in targeted tissues of an avian embryo, delivering therapeutics, evaluating their efficacy by measuring tumors using light sheet confocal microscopy, and conducting large scale RNAseq analysis to characterize therapeutic-induced changes in gene expression. The model was established to recapitulate triple negative breast cancer (TNBC) and validated using TNBC standards of care (SOCs) and an investigational therapeutic agent.

2021 ◽  
Vol 11 ◽  
Author(s):  
Yan-Ru Chen ◽  
Wan-Ying Feng ◽  
Yuan-Xiong Cheng ◽  
Hao Zhu ◽  
Hong-Juan Liu ◽  
...  

Species-specific lncRNAs significantly determine species-specific functions through various ways, such as epigenetic regulation. However, there has been no study focusing on the role of species-specific lncRNAs in other species yet. Here, we found that siRNAs targeting mouse-specific lncRNA AA388235 could significantly induce death of human tumor cells, although it has no effect on mouse tumor cells and normal human cells. The mechanism studies showed that these siRNAs could activate the response of human tumor cells to exogenous nucleic acids, induce pyroptosis and apoptosis in the presence of GSDME, but induce apoptosis in the absence of GSDME. They also significantly inhibited the growth of human tumor cells in vivo. 17 siRNAs were designed for seven more mouse-specific lncRNAs selected randomly, among which 12 siRNAs targeting five lncRNAs induced death in human tumor cell. Our study not only demonstrates that the siRNAs designed for knocking down mouse-specific lncRNA AA388235 can be potential tumor therapeutic drugs, but also suggests that non-human species-specific lncRNAs are a huge potential library that can be used to design siRNAs for tumor treatment. Large-scale screening based on this is promising.


2014 ◽  
Author(s):  
Raul M Luque ◽  
Mario Duran-Prado ◽  
David Rincon-Fernandez ◽  
Marta Hergueta-Redondo ◽  
Michael D Culler ◽  
...  

Author(s):  
Lauren Marshall ◽  
Isabel Löwstedt ◽  
Paul Gatenholm ◽  
Joel Berry

The objective of this study was to create 3D engineered tissue models to accelerate identification of safe and efficacious breast cancer drug therapies. It is expected that this platform will dramatically reduce the time and costs associated with development and regulatory approval of anti-cancer therapies, currently a multi-billion dollar endeavor [1]. Existing two-dimensional (2D) in vitro and in vivo animal studies required for identification of effective cancer therapies account for much of the high costs of anti-cancer medications and health insurance premiums borne by patients, many of whom cannot afford it. An emerging paradigm in pharmaceutical drug development is the use of three-dimensional (3D) cell/biomaterial models that will accurately screen novel therapeutic compounds, repurpose existing compounds and terminate ineffective ones. In particular, identification of effective chemotherapies for breast cancer are anticipated to occur more quickly in 3D in vitro models than 2D in vitro environments and in vivo animal models, neither of which accurately mimic natural human tumor environments [2]. Moreover, these 3D models can be multi-cellular and designed with extracellular matrix (ECM) function and mechanical properties similar to that of natural in vivo cancer environments [3].


2010 ◽  
Vol 8 (3) ◽  
pp. 373-384 ◽  
Author(s):  
Jessica J. Huck ◽  
Mengkun Zhang ◽  
Alice McDonald ◽  
Doug Bowman ◽  
Kara M. Hoar ◽  
...  

2011 ◽  
Vol 47 ◽  
pp. S19 ◽  
Author(s):  
S. Heskamp ◽  
O.C. Boerman ◽  
W.J.G. Oyen ◽  
J.D.M. Molkenboer-Kuenen ◽  
W.T.A. van der Graaf ◽  
...  

Author(s):  
Kim Kobar ◽  
Keon Collett ◽  
Sergey V. Prykhozhij ◽  
Jason N. Berman

Cancer predisposition syndromes are rare, typically monogenic disorders that result from germline mutations that increase the likelihood of developing cancer. Although these disorders are individually rare, resulting cancers collectively represent 5–10% of all malignancies. In addition to a greater incidence of cancer, affected individuals have an earlier tumor onset and are frequently subjected to long-term multi-modal cancer screening protocols for earlier detection and initiation of treatment. In vivo models are needed to better understand tumor-driving mechanisms, tailor patient screening approaches and develop targeted therapies to improve patient care and disease prognosis. The zebrafish (Danio rerio) has emerged as a robust model for cancer research due to its high fecundity, time- and cost-efficient genetic manipulation and real-time high-resolution imaging. Tumors developing in zebrafish cancer models are histologically and molecularly similar to their human counterparts, confirming the validity of these models. The zebrafish platform supports both large-scale random mutagenesis screens to identify potential candidate/modifier genes and recently optimized genome editing strategies. These techniques have greatly increased our ability to investigate the impact of certain mutations and how these lesions impact tumorigenesis and disease phenotype. These unique characteristics position the zebrafish as a powerful in vivo tool to model cancer predisposition syndromes and as such, several have already been created, including those recapitulating Li-Fraumeni syndrome, familial adenomatous polyposis, RASopathies, inherited bone marrow failure syndromes, and several other pathogenic mutations in cancer predisposition genes. In addition, the zebrafish platform supports medium- to high-throughput preclinical drug screening to identify compounds that may represent novel treatment paradigms or even prevent cancer evolution. This review will highlight and synthesize the findings from zebrafish cancer predisposition models created to date. We will discuss emerging trends in how these zebrafish cancer models can improve our understanding of the genetic mechanisms driving cancer predisposition and their potential to discover therapeutic and/or preventative compounds that change the natural history of disease for these vulnerable children, youth and adults.


2008 ◽  
Vol 99 (4) ◽  
pp. 810-815 ◽  
Author(s):  
Dong Yu ◽  
Emiko Sekine ◽  
Akira Fujimori ◽  
Takahiro Ochiya ◽  
Ryuichi Okayasu

2010 ◽  
Vol 5 (5) ◽  
pp. 1934578X1000500 ◽  
Author(s):  
Vidya Menon ◽  
Sujata Bhat

Andrographolide 1, a diterpene lactone of Andrographis paniculata, displays in vitro and in vivo antitumor activity against breast cancer models and mouse myeloid leukemia (M1) cells. In the present study, we report the semi-synthesis of andrographolide derivatives and their in vitro activity against A549 (ATCC) (NSCL cancer) cell line. Amongst the derivatives tested, compounds 3- 5 displayed maximum activity, with IC50 values of 22-31 μg/mL.


Medicines ◽  
2019 ◽  
Vol 6 (1) ◽  
pp. 17 ◽  
Author(s):  
Maryam Nakhjavani ◽  
Jennifer E Hardingham ◽  
Helen M Palethorpe ◽  
Yoko Tomita ◽  
Eric Smith ◽  
...  

Breast cancer is still one of the most prevalent cancers and a leading cause of cancer death worldwide. The key challenge with cancer treatment is the choice of the best therapeutic agents with the least possible toxicities on the patient. Recently, attention has been drawn to herbal compounds, in particular ginsenosides, extracted from the root of the Ginseng plant. In various studies, significant anti-cancer properties of ginsenosides have been reported in different cancers. The mode of action of ginsenoside Rg3 (Rg3) in in vitro and in vivo breast cancer models and its value as an anti-cancer treatment for breast cancer will be reviewed.


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