Assessing therapy response in patient-derived xenografts-Reference-Cited by-同舟云学术

Assessing therapy response in patient-derived xenografts

Published:2021-11-17 Issue:620 Volume:13 Page:
ISSN:1946-6234
Container-title:Science Translational Medicine
language:en
Short-container-title:Sci. Transl. Med.

Author:

Ortmann Janosch¹²^ORCID,Rampášek Ladislav³⁴⁵^ORCID,Tai Elijah³,Mer Arvind Singh⁶⁷^ORCID,Shi Ruoshi⁶,Stewart Erin L.⁶,Mascaux Celine⁶⁸⁹,Fares Aline⁶,Pham Nhu-An⁶,Beri Gangesh⁶,Eeles Christopher⁶,Tkachuk Denis⁶,Ho Chantal⁶,Sakashita Shingo⁶,Weiss Jessica⁶^ORCID,Jiang Xiaoqian¹⁰,Liu Geoffrey⁶,Cescon David W.⁶^ORCID,O’Brien Catherine A.⁶⁷¹¹¹²¹³,Guo Sheng¹⁰^ORCID,Tsao Ming-Sound⁶^ORCID,Haibe-Kains Benjamin³⁴⁶⁷¹⁴^ORCID,Goldenberg Anna³⁴⁵¹⁵^ORCID

Affiliation:

1. Département AOTI, Université du Québec à Montréal, Montréal, QC H2X3X2, Canada.

2. Group for Research in Decision Analysis (GERAD), Montreal, QC H3T1J4, Canada.

3. Department of Computer Science, University of Toronto, Toronto, ON M5S2E4, Canada.

4. Vector Institute for Artificial Intelligence, Toronto, ON M5G1M1, Canada.

5. Hospital for Sick Children, Toronto, ON M5G1X8, Canada.

6. Princess Margaret Cancer Centre, University Health Network, Toronto, ON M5G1L7, Canada.

7. Department of Medical Biophysics, University of Toronto, Toronto, ON M5G1L7, Canada.

8. Pulmonology Department, Hôpitaux Universitaires de Strasbourg, 67200 Strasbourg, France.

9. Laboratory of Molecular Mechanisms of the Stress Response and Pathologies, INSERM U1113, 3 Avenue Molière, 67200 Strasbourg, France.

10. Crown Bioscience Taicang Inc., No.6 Beijing West Road, Taicang, Jiangsu 215400, P. R. China.

11. Department of Laboratory Medicine and Pathobiology, University of Toronto, Toronto, ON M5S1A8, Canada.

12. Department of Physiology, University of Toronto, Toronto, ON M5G1L7, Canada.

13. Department of Surgery, Toronto General Hospital, Toronto, ON M5G2C4, Canada.

14. Ontario Institute for Cancer Research, Toronto, ON M5G1L7, Canada.

15. CIFAR, Toronto, ON M5G1M1, Canada.

Abstract

We propose a measure for robust quantification of in vivo drug response that accounts for variation across both treatment and control replicates.

Publisher

American Association for the Advancement of Science (AAAS)

Subject

General Medicine

Reference32 articles.

1. High-throughput screening using patient-derived tumor xenografts to predict clinical trial drug response

2. Area under the curve as a tool to measure kinetics of tumor growth in experimental animals

3. The genomic landscape of response to EGFR blockade in colorectal cancer

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5. The design, analysis and application of mouse clinical trials in oncology drug development

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