Literature DB >> 34222745

Ex Vivo Analysis of Primary Tumor Specimens for Evaluation of Cancer Therapeutics.

Cristina E Tognon1,2, Rosalie C Sears2,3,4, Gordon B Mills2,4,5, Joe W Gray2,4,6,7, Jeffrey W Tyner1,2,5.   

Abstract

The use of ex vivo drug sensitivity testing to predict drug activity in individual patients has been actively explored for almost 50 years without delivering a generally useful predictive capability. However, extended failure should not be an indicator of futility. This is especially true in cancer research where ultimate success is often preceded by less successful attempts. For example, both immune- and genetic-based targeted therapies for cancer underwent numerous failed attempts before biological understanding, improved targets, and optimized drug development matured to facilitate an arsenal of transformational drugs. Similarly, the concept of directly assessing drug sensitivity of primary tumor biopsies-and the use of this information to help direct therapeutic approaches-has a long history with a definitive learning curve. In this review, we will survey the history of ex vivo testing as well as the current state of the art for this field. We will present an update on methodologies and approaches, describe the use of these technologies to test cutting-edge drug classes, and describe an increasingly nuanced understanding of tumor types and models for which this strategy is most likely to succeed. We will consider the relative strengths and weaknesses of predicting drug activity across the broad biological context of cancer patients and tumor types. This will include an analysis of the potential for ex vivo drug sensitivity testing to accurately predict drug activity within each of the biological hallmarks of cancer pathogenesis.

Entities:  

Year:  2020        PMID: 34222745      PMCID: PMC8248658          DOI: 10.1146/annurev-cancerbio-043020-125955

Source DB:  PubMed          Journal:  Annu Rev Cancer Biol        ISSN: 2472-3428


  132 in total

1.  Drug-induced death signaling strategy rapidly predicts cancer response to chemotherapy.

Authors:  Joan Montero; Kristopher A Sarosiek; Joseph D DeAngelo; Ophélia Maertens; Jeremy Ryan; Dalia Ercan; Huiying Piao; Neil S Horowitz; Ross S Berkowitz; Ursula Matulonis; Pasi A Jänne; Philip C Amrein; Karen Cichowski; Ronny Drapkin; Anthony Letai
Journal:  Cell       Date:  2015-02-26       Impact factor: 41.582

2.  Single Lgr5 stem cells build crypt-villus structures in vitro without a mesenchymal niche.

Authors:  Toshiro Sato; Robert G Vries; Hugo J Snippert; Marc van de Wetering; Nick Barker; Daniel E Stange; Johan H van Es; Arie Abo; Pekka Kujala; Peter J Peters; Hans Clevers
Journal:  Nature       Date:  2009-03-29       Impact factor: 49.962

3.  An implantable microdevice to perform high-throughput in vivo drug sensitivity testing in tumors.

Authors:  Oliver Jonas; Heather M Landry; Jason E Fuller; John T Santini; Jose Baselga; Robert I Tepper; Michael J Cima; Robert Langer
Journal:  Sci Transl Med       Date:  2015-04-22       Impact factor: 17.956

4.  Metastatic Tumor-in-a-Dish, a Novel Multicellular Organoid to Study Lung Colonization and Predict Therapeutic Response.

Authors:  Prabhu Ramamoorthy; Sufi Mary Thomas; Gaurav Kaushik; Dharmalingam Subramaniam; Katherine M Chastain; Animesh Dhar; Ossama Tawfik; Anup Kasi; Weijing Sun; Satish Ramalingam; Sumedha Gunewardena; Shahid Umar; Joshua M Mammen; Subhash B Padhye; Scott J Weir; Roy A Jensen; G Sitta Sittampalam; Shrikant Anant
Journal:  Cancer Res       Date:  2019-01-23       Impact factor: 12.701

5.  Highly specific prediction of antineoplastic drug resistance with an in vitro assay using suprapharmacologic drug exposures.

Authors:  D H Kern; L M Weisenthal
Journal:  J Natl Cancer Inst       Date:  1990-04-04       Impact factor: 13.506

6.  Using Microarrays to Interrogate Microenvironmental Impact on Cellular Phenotypes in Cancer.

Authors:  Rebecca Smith; Kaylyn Devlin; David Kilburn; Sean Gross; Damir Sudar; Elmar Bucher; Michel Nederlof; Mark Dane; Joe W Gray; Laura Heiser; James E Korkola
Journal:  J Vis Exp       Date:  2019-05-21       Impact factor: 1.355

7.  Individualized systems medicine strategy to tailor treatments for patients with chemorefractory acute myeloid leukemia.

Authors:  Tea Pemovska; Mika Kontro; Bhagwan Yadav; Henrik Edgren; Samuli Eldfors; Agnieszka Szwajda; Henrikki Almusa; Maxim M Bespalov; Pekka Ellonen; Erkki Elonen; Bjørn T Gjertsen; Riikka Karjalainen; Evgeny Kulesskiy; Sonja Lagström; Anna Lehto; Maija Lepistö; Tuija Lundán; Muntasir Mamun Majumder; Jesus M Lopez Marti; Pirkko Mattila; Astrid Murumägi; Satu Mustjoki; Aino Palva; Alun Parsons; Tero Pirttinen; Maria E Rämet; Minna Suvela; Laura Turunen; Imre Västrik; Maija Wolf; Jonathan Knowles; Tero Aittokallio; Caroline A Heckman; Kimmo Porkka; Olli Kallioniemi; Krister Wennerberg
Journal:  Cancer Discov       Date:  2013-09-20       Impact factor: 39.397

8.  Selective BCL-2 inhibition by ABT-199 causes on-target cell death in acute myeloid leukemia.

Authors:  Rongqing Pan; Leah J Hogdal; Juliana M Benito; Donna Bucci; Lina Han; Gautam Borthakur; Jorge Cortes; Daniel J DeAngelo; Lakeisha Debose; Hong Mu; Hartmut Döhner; Verena I Gaidzik; Ilene Galinsky; Leonard S Golfman; Torsten Haferlach; Karine G Harutyunyan; Jianhua Hu; Joel D Leverson; Guido Marcucci; Markus Müschen; Rachel Newman; Eugene Park; Peter P Ruvolo; Vivian Ruvolo; Jeremy Ryan; Sonja Schindela; Patrick Zweidler-McKay; Richard M Stone; Hagop Kantarjian; Michael Andreeff; Marina Konopleva; Anthony G Letai
Journal:  Cancer Discov       Date:  2013-12-17       Impact factor: 39.397

Review 9.  Precision medicine for cancer with next-generation functional diagnostics.

Authors:  Adam A Friedman; Anthony Letai; David E Fisher; Keith T Flaherty
Journal:  Nat Rev Cancer       Date:  2015-11-05       Impact factor: 60.716

Review 10.  Hallmarks of cancer: the next generation.

Authors:  Douglas Hanahan; Robert A Weinberg
Journal:  Cell       Date:  2011-03-04       Impact factor: 41.582

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  1 in total

Review 1.  Application of precision medicine in clinical routine in haematology-Challenges and opportunities.

Authors:  Tove Wästerlid; Lucia Cavelier; Claudia Haferlach; Marina Konopleva; Stefan Fröhling; Päivi Östling; Lars Bullinger; Thoas Fioretos; Karin E Smedby
Journal:  J Intern Med       Date:  2022-06-04       Impact factor: 13.068

  1 in total

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