Literature DB >> 35299086

Microphysiological model of renal cell carcinoma to inform anti-angiogenic therapy.

María Virumbrales-Muñoz1, Jose M Ayuso2, Jack R Loken3, Kathryn M Denecke3, Shujah Rehman4, Melissa C Skala5, E Jason Abel6, David J Beebe7.   

Abstract

Renal cell carcinomas are common genitourinary tumors characterized by high vascularization and strong reliance on glycolysis. Despite the many available therapies for renal cell carcinomas, first-line targeted therapies, such as cabozantinib, and durable reaponses are seen in only a small percentage of patients. Yet, little is known about the mechanisms that drive response (or lack thereof). This dearth of knowledge can be explained by the dynamic and complex microenvironment of renal carcinoma, which remains challenging to recapitulate in vitro. Here, we present a microphysiological model of renal cell carcinoma, including a tubular blood vessel model of induced pluripotent stem cell-derived endothelial cells and an adjacent 3D carcinoma model. Our model recapitulated hypoxia, glycolic metabolism, and sprouting angiogenesis. Using our model, we showed that cabozantinib altered cancer cell metabolism and decreased sprouting angiogenesis but did not restore barrier function. This microphysiological model could be helpful to elucidate, through multiple endpoints, the contributions of the relevant environmental components in eliciting a functional response or resistance to therapy in renal cell carcinoma.
Copyright © 2022. Published by Elsevier Ltd.

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Year:  2022        PMID: 35299086      PMCID: PMC9254636          DOI: 10.1016/j.biomaterials.2022.121454

Source DB:  PubMed          Journal:  Biomaterials        ISSN: 0142-9612            Impact factor:   15.304


  65 in total

Review 1.  Predictive molecular biomarkers to guide clinical decision making in kidney cancer: current progress and future challenges.

Authors:  Jason Yongsheng Chan; Yukti Choudhury; Min-Han Tan
Journal:  Expert Rev Mol Diagn       Date:  2015-04-03       Impact factor: 5.225

Review 2.  Endoglin (CD105): a review of its role in angiogenesis and tumor diagnosis, progression and therapy.

Authors:  Farshad Nassiri; Michael D Cusimano; Bernd W Scheithauer; Fabio Rotondo; Alessandra Fazio; George M Yousef; Luis V Syro; Kalman Kovacs; Ricardo V Lloyd
Journal:  Anticancer Res       Date:  2011-06       Impact factor: 2.480

3.  Use of the University of California Los Angeles integrated staging system to predict survival in renal cell carcinoma: an international multicenter study.

Authors:  Jean-Jacques Patard; Hyung L Kim; John S Lam; Frederick J Dorey; Allan J Pantuck; Amnon Zisman; Vincenzo Ficarra; Ken-Ryu Han; Luca Cindolo; Alexandre De La Taille; Jacques Tostain; Walter Artibani; Colin P Dinney; Christopher G Wood; David A Swanson; Claude C Abbou; Bernard Lobel; Peter F A Mulders; Dominique K Chopin; Robert A Figlin; Arie S Belldegrun
Journal:  J Clin Oncol       Date:  2004-08-15       Impact factor: 44.544

4.  Human vascular tissue models formed from human induced pluripotent stem cell derived endothelial cells.

Authors:  David G Belair; Jordan A Whisler; Jorge Valdez; Jeremy Velazquez; James A Molenda; Vernella Vickerman; Rachel Lewis; Christine Daigh; Tyler D Hansen; David A Mann; James A Thomson; Linda G Griffith; Roger D Kamm; Michael P Schwartz; William L Murphy
Journal:  Stem Cell Rev Rep       Date:  2015-06       Impact factor: 5.739

Review 5.  Personalized in vitro cancer models to predict therapeutic response: Challenges and a framework for improvement.

Authors:  Molly M Morgan; Brian P Johnson; Megan K Livingston; Linda A Schuler; Elaine T Alarid; Kyung E Sung; David J Beebe
Journal:  Pharmacol Ther       Date:  2016-05-21       Impact factor: 12.310

Review 6.  Choosing the right cell line for renal cell cancer research.

Authors:  Klaudia K Brodaczewska; Cezary Szczylik; Michal Fiedorowicz; Camillo Porta; Anna M Czarnecka
Journal:  Mol Cancer       Date:  2016-12-19       Impact factor: 27.401

7.  Microbial volatile communication in human organotypic lung models.

Authors:  Layla J Barkal; Clare L Procknow; Yasmín R Álvarez-García; Mengyao Niu; José A Jiménez-Torres; Rebecca A Brockman-Schneider; James E Gern; Loren C Denlinger; Ashleigh B Theberge; Nancy P Keller; Erwin Berthier; David J Beebe
Journal:  Nat Commun       Date:  2017-11-24       Impact factor: 14.919

8.  Multiwell capillarity-based microfluidic device for the study of 3D tumour tissue-2D endothelium interactions and drug screening in co-culture models.

Authors:  María Virumbrales-Muñoz; José María Ayuso; Marta Olave; Rosa Monge; Diego de Miguel; Luis Martínez-Lostao; Séverine Le Gac; Manuel Doblare; Ignacio Ochoa; Luis J Fernandez
Journal:  Sci Rep       Date:  2017-09-20       Impact factor: 4.379

Review 9.  Microfluidic lumen-based systems for advancing tubular organ modeling.

Authors:  María Virumbrales-Muñoz; José M Ayuso; Max M Gong; Mouhita Humayun; Megan K Livingston; Karina M Lugo-Cintrón; Patrick McMinn; Yasmín R Álvarez-García; David J Beebe
Journal:  Chem Soc Rev       Date:  2020-09-01       Impact factor: 60.615

10.  Tumoral CD105 is a novel independent prognostic marker for prognosis in clear-cell renal cell carcinoma.

Authors:  A Saroufim; Y Messai; M Hasmim; N Rioux; R Iacovelli; G Verhoest; K Bensalah; J-J Patard; L Albiges; B Azzarone; B Escudier; S Chouaib
Journal:  Br J Cancer       Date:  2014-03-04       Impact factor: 7.640

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  2 in total

Review 1.  Microfluidics in vascular biology research: a critical review for engineers, biologists, and clinicians.

Authors:  Grigor Simitian; María Virumbrales-Muñoz; Cristina Sánchez-de-Diego; David J Beebe; David Kosoff
Journal:  Lab Chip       Date:  2022-09-27       Impact factor: 7.517

Review 2.  Models of Renal Cell Carcinoma Used to Investigate Molecular Mechanisms and Develop New Therapeutics.

Authors:  Daniel D Shapiro; Maria Virumbrales-Muñoz; David J Beebe; E Jason Abel
Journal:  Front Oncol       Date:  2022-04-07       Impact factor: 5.738

  2 in total

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