| Literature DB >> 29212548 |
Alexandra Borodovsky1, Travis J McQuiston2, Daniel Stetson1, Ambar Ahmed1, David Whitston1, Jingwen Zhang1, Michael Grondine1, Deborah Lawson1, Sharon S Challberg2, Michael Zinda1, Brian A Pollok2, Brian A Dougherty1, Celina M D'Cruz3.
Abstract
Efforts to develop effective cancer therapeutics have been hindered by a lack of clinically predictive preclinical models which recapitulate this complex disease. Patient derived xenograft (PDX) models have emerged as valuable tools for translational research but have several practical limitations including lack of sustained growth in vitro. In this study, we utilized Conditional Reprogramming (CR) cell technology- a novel cell culture system facilitating the generation of stable cultures from patient biopsies- to establish PDX-derived cell lines which maintain the characteristics of the parental PDX tumor. Human lung and ovarian PDX tumors were successfully propagated using CR technology to create stable explant cell lines (CR-PDX). These CR-PDX cell lines maintained parental driver mutations and allele frequency without clonal drift. Purified CR-PDX cell lines were amenable to high throughput chemosensitivity screening and in vitro genetic knockdown studies. Additionally, re-implanted CR-PDX cells proliferated to form tumors that retained the growth kinetics, histology, and drug responses of the parental PDX tumor. CR technology can be used to generate and expand stable cell lines from PDX tumors without compromising fundamental biological properties of the model. It offers the ability to expand PDX cells in vitro for subsequent 2D screening assays as well as for use in vivo to reduce variability, animal usage and study costs. The methods and data detailed here provide a platform to generate physiologically relevant and predictive preclinical models to enhance drug discovery efforts.Entities:
Keywords: Cell line models; Conditional reprogramming; Drug discovery; Oncology; Patient derived xenograft
Mesh:
Year: 2017 PMID: 29212548 PMCID: PMC5719579 DOI: 10.1186/s12943-017-0745-1
Source DB: PubMed Journal: Mol Cancer ISSN: 1476-4598 Impact factor: 27.401
Fig. 1CR technology expands PDX derived cell cultures and maintains genetic profile of the parental PDX tumor. a Experimental design for the establishment of PDX cell lines b Representative images of PDX cells growing in co-culture with GFP-expressing 3 T3-J2 cells (arrows). OV0857F (10X), HLXF-036LN (10X), LG0567F (4X), HLXF-056 (10X). c Targeted genetic sequencing revealed that the CR-PDX cell lines maintain key mutations and allele frequency of the parental PDX
Fig. 2CR-PDX cell lines are amenable to in vitro preclinical applications. a CR-PDX cells were removed from CR conditions and treated with the indicated inhibitors (n = 3, mean ± SD shown). In vitro drug sensitivity of CR-PDX cells was compared to in vivo response of the parental tumor. Means ± error are shown for each model. N = 8 (OV0857F), n = 8 (HLXF-036LN), n = 9 (LG0567F), and n = 10 (HLXF-056) (b) CR-PDX cells are amenable to gene knockdown studies using siRNA. CR-HLXF-036LN cells were reverse transfected with indicated siRNAs for 72 h. Knockdown efficiency was confirmed by qPCR and the effect of knockdown on viability was assessed at the end of study, (N = 3, mean ± SD shown, ***p < 0.05, Student’s t-test, two-tailed)
Fig. 3CR-PDX cell lines are amenable to in vivo preclinical applications. a. Re-implanted CR-HLXF-036LN and CR-LG0567F cells formed tumors in NSG mice (open symbols) and maintained growth kinetics of parental tumor (closed symbols). CR-HLXF-036LN maintained sensitivity to Savolitinib (25 mg/kg, QD, n = 2) and CR-LG0567F maintained sensitivity to Selumetinib (25 mg/kg, BID, n = 3) similar to parental tumors (dotted lines, n = 10 for HLXF-036LN and n = 9 for LG0567F). Mean ± error shown for each model. b Implanted CR-PDX tumors maintain pharmacodynamic response to targeted agents, similar to parental tumors. c Subcutaneously implanted CR-PDX cells produce tumors with histology similar to parental PDX tumor. Representative images shown (n = 2)