Literature DB >> 33346184

Enhanced Viability for Ex vivo 3D Hydrogel Cultures of Patient-Derived Xenografts in a Perfused Microfluidic Platform.

Lindsey K Sablatura1, Kristin M Bircsak2, Peter Shepherd3, Karla Queiroz4, Mary C Farach-Carson5, Pamela E Constantinou6, Anthony Saleh2, Nora Navone3, Daniel A Harrington7.   

Abstract

Patient-derived xenografts (PDX), generated when resected patient tumor tissue is engrafted directly into immunocompromised mice, remain biologically stable, thereby preserving molecular, genetic, and histological features, as well as heterogeneity of the original tumor. However, using these models to perform a multitude of experiments, including drug screening, is prohibitive both in terms of cost and time. Three-dimensional (3D) culture systems are widely viewed as platforms in which cancer cells retain their biological integrity through biochemical interactions, morphology, and architecture. Our team has extensive experience culturing PDX cells in vitro using 3D matrices composed of hyaluronic acid (HA). In order to separate mouse fibroblast stromal cells associated with PDXs, we use rotation culture, where stromal cells adhere to the surface of tissue culture-treated plates while dissociated PDX tumor cells float and self-associate into multicellular clusters. Also floating in the supernatant are single, often dead cells, which present a challenge in collecting viable PDX clusters for downstream encapsulation into hydrogels for 3D cell culture. In order to separate these single cells from live cell clusters, we have employed density step gradient centrifugation. The protocol described here allows for the depletion of non-viable single cells from the healthy population of cell clusters that will be used for further in vitro experimentation. In our studies, we incorporate the 3D cultures in microfluidic plates which allow for media perfusion during culture. After assessing the resultant cultures using a fluorescent image-based viability assay of purified versus non-purified cells, our results show that this additional separation step substantially reduced the number of non-viable cells from our cultures.

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Year:  2020        PMID: 33346184      PMCID: PMC9250080          DOI: 10.3791/60872

Source DB:  PubMed          Journal:  J Vis Exp        ISSN: 1940-087X            Impact factor:   1.424


  11 in total

Review 1.  One mouse, one patient paradigm: New avatars of personalized cancer therapy.

Authors:  Prerna Malaney; Santo V Nicosia; Vrushank Davé
Journal:  Cancer Lett       Date:  2013-10-22       Impact factor: 8.679

2.  PDX-MI: Minimal Information for Patient-Derived Tumor Xenograft Models.

Authors:  Terrence F Meehan; Nathalie Conte; Theodore Goldstein; Giorgio Inghirami; Mark A Murakami; Sebastian Brabetz; Zhiping Gu; Jeffrey A Wiser; Patrick Dunn; Dale A Begley; Debra M Krupke; Andrea Bertotti; Alejandra Bruna; Matthew H Brush; Annette T Byrne; Carlos Caldas; Amanda L Christie; Dominic A Clark; Heidi Dowst; Jonathan R Dry; James H Doroshow; Olivier Duchamp; Yvonne A Evrard; Stephane Ferretti; Kristopher K Frese; Neal C Goodwin; Danielle Greenawalt; Melissa A Haendel; Els Hermans; Peter J Houghton; Jos Jonkers; Kristel Kemper; Tin O Khor; Michael T Lewis; K C Kent Lloyd; Jeremy Mason; Enzo Medico; Steven B Neuhauser; James M Olson; Daniel S Peeper; Oscar M Rueda; Je Kyung Seong; Livio Trusolino; Emilie Vinolo; Robert J Wechsler-Reya; David M Weinstock; Alana Welm; S John Weroha; Frédéric Amant; Stefan M Pfister; Marcel Kool; Helen Parkinson; Atul J Butte; Carol J Bult
Journal:  Cancer Res       Date:  2017-11-01       Impact factor: 12.701

3.  CD133, CD15/SSEA-1, CD34 or side populations do not resume tumor-initiating properties of long-term cultured cancer stem cells from human malignant glio-neuronal tumors.

Authors:  Cristina Patru; Luciana Romao; Pascale Varlet; Laure Coulombel; Eric Raponi; Josette Cadusseau; François Renault-Mihara; Cécile Thirant; Nadine Leonard; Alain Berhneim; Maria Mihalescu-Maingot; Jacques Haiech; Ivan Bièche; Vivaldo Moura-Neto; Catherine Daumas-Duport; Marie-Pierre Junier; Hervé Chneiweiss
Journal:  BMC Cancer       Date:  2010-02-24       Impact factor: 4.430

4.  A comprehensive panel of three-dimensional models for studies of prostate cancer growth, invasion and drug responses.

Authors:  Ville Härmä; Johannes Virtanen; Rami Mäkelä; Antti Happonen; John-Patrick Mpindi; Matias Knuuttila; Pekka Kohonen; Jyrki Lötjönen; Olli Kallioniemi; Matthias Nees
Journal:  PLoS One       Date:  2010-05-03       Impact factor: 3.240

5.  A 3D in vitro model of patient-derived prostate cancer xenograft for controlled interrogation of in vivo tumor-stromal interactions.

Authors:  Eliza L S Fong; Xinhai Wan; Jun Yang; Micaela Morgado; Antonios G Mikos; Daniel A Harrington; Nora M Navone; Mary C Farach-Carson
Journal:  Biomaterials       Date:  2015-11-09       Impact factor: 12.479

6.  Multilayered, Hyaluronic Acid-Based Hydrogel Formulations Suitable for Automated 3D High Throughput Drug Screening of Cancer-Stromal Cell Cocultures.

Authors:  Brian J Engel; Pamela E Constantinou; Lindsey K Sablatura; Nathaniel J Doty; Daniel D Carson; Mary C Farach-Carson; Daniel A Harrington; Thomas I Zarembinski
Journal:  Adv Healthc Mater       Date:  2015-06-09       Impact factor: 9.933

7.  Therapy response testing of breast cancer in a 3D high-throughput perfused microfluidic platform.

Authors:  Henriette L Lanz; Anthony Saleh; Bart Kramer; Junmei Cairns; Chee Ping Ng; Jia Yu; Sebastiaan J Trietsch; Thomas Hankemeier; Jos Joore; Paul Vulto; Richard Weinshilboum; Liewei Wang
Journal:  BMC Cancer       Date:  2017-11-02       Impact factor: 4.430

8.  Hydrogel-based 3D model of patient-derived prostate xenograft tumors suitable for drug screening.

Authors:  Eliza L S Fong; Mariane Martinez; Jun Yang; Antonios G Mikos; Nora M Navone; Daniel A Harrington; Mary C Farach-Carson
Journal:  Mol Pharm       Date:  2014-04-29       Impact factor: 4.939

9.  High-throughput compound evaluation on 3D networks of neurons and glia in a microfluidic platform.

Authors:  Nienke R Wevers; Remko van Vught; Karlijn J Wilschut; Arnaud Nicolas; Chiwan Chiang; Henriette L Lanz; Sebastiaan J Trietsch; Jos Joore; Paul Vulto
Journal:  Sci Rep       Date:  2016-12-09       Impact factor: 4.379

Review 10.  The Generation and Application of Patient-Derived Xenograft Model for Cancer Research.

Authors:  Jaeyun Jung; Hyang Sook Seol; Suhwan Chang
Journal:  Cancer Res Treat       Date:  2017-09-13       Impact factor: 4.679

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