Literature DB >> 35472132

ROADMAPS: An Online Database of Response Data, Dosing Regimens, and Toxicities of Approved Oncology Drugs as Single Agents to Guide Preclinical In Vivo Studies.

Melinda G Hollingshead1, Nathaniel Greenberg1, Michelle Gottholm-Ahalt1, Richard Camalier1, Barry C Johnson2, Jerry M Collins2, James H Doroshow2,3.   

Abstract

Preclinical studies provide valuable data in the early development of novel drugs for patients with cancer. Many cancer treatment regimens now utilize multiple agents with different targets to delay the emergence of drug-resistant tumor cells, and experimental agents are often evaluated in combination with FDA-approved drugs. The Biological Testing Branch (BTB) of the U.S. NCI has evaluated more than 70 FDA-approved oncology drugs to date in human xenograft models. Here, we report the first release of a publicly available, downloadable spreadsheet, ROADMAPS (Responses to Oncology Agents and Dosing in Models to Aid Preclinical Studies, dtp.cancer.gov/databases_tools/roadmaps.htm), that provides data filterable by agent, dose, dosing schedule, route of administration, tumor models tested, responses, host mouse strain, maximum weight loss, drug-related deaths, and vehicle formulation for preclinical experiments conducted by the BTB. Data from 70 different single targeted and cytotoxic agents and 140 different xenograft models were included. Multiple xenograft models were tested in immunocompromised mice for many cancer histologies, with lung cancer as the most broadly tested (24 models). Many of the dose levels and schedules used in these experiments were comparable with those tolerated in humans. Targeted and cytotoxic single agents were included. The online spreadsheet will be updated periodically as additional agent/dose/model combinations are evaluated. ROADMAPS is intended to serve as a publicly available resource for the research community to inform the design of clinically relevant, tolerable single and combinatorial regimens in preclinical mouse models. SIGNIFICANCE: ROADMAPS includes data that can be used to identify tolerable dosing regimens with activity against a variety of human tumors in different mouse strains, providing a resource for planning preclinical studies. ©2022 The Authors; Published by the American Association for Cancer Research.

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Year:  2022        PMID: 35472132      PMCID: PMC9203935          DOI: 10.1158/0008-5472.CAN-21-4151

Source DB:  PubMed          Journal:  Cancer Res        ISSN: 0008-5472            Impact factor:   13.312


  20 in total

1.  Antitumor activity of targeted and cytotoxic agents in murine subcutaneous tumor models correlates with clinical response.

Authors:  Harvey Wong; Edna F Choo; Bruno Alicke; Xiao Ding; Hank La; Erin McNamara; Frank-Peter Theil; Jay Tibbitts; Lori S Friedman; Cornelis E C A Hop; Stephen E Gould
Journal:  Clin Cancer Res       Date:  2012-05-30       Impact factor: 12.531

2.  Predicting the active doses in humans from animal studies: a novel approach in oncology.

Authors:  M Rocchetti; M Simeoni; E Pesenti; G De Nicolao; I Poggesi
Journal:  Eur J Cancer       Date:  2007-07-02       Impact factor: 9.162

3.  Phase I study of PARP inhibitor ABT-888 in combination with topotecan in adults with refractory solid tumors and lymphomas.

Authors:  Shivaani Kummar; Alice Chen; Jiuping Ji; Yiping Zhang; Joel M Reid; Matthew Ames; Lee Jia; Marcie Weil; Giovanna Speranza; Anthony J Murgo; Robert Kinders; Lihua Wang; Ralph E Parchment; John Carter; Howard Stotler; Larry Rubinstein; Melinda Hollingshead; Giovanni Melillo; Yves Pommier; William Bonner; Joseph E Tomaszewski; James H Doroshow
Journal:  Cancer Res       Date:  2011-07-27       Impact factor: 12.701

4.  Evaluation of Pharmacodynamic Responses to Cancer Therapeutic Agents Using DNA Damage Markers.

Authors:  Deborah F Wilsker; Allison M Barrett; Angie B Dull; Scott M Lawrence; Melinda G Hollingshead; Alice Chen; Shivaani Kummar; Ralph E Parchment; James H Doroshow; Robert J Kinders
Journal:  Clin Cancer Res       Date:  2019-02-21       Impact factor: 12.531

5.  Antitumor efficacy testing in rodents.

Authors:  Melinda G Hollingshead
Journal:  J Natl Cancer Inst       Date:  2008-10-28       Impact factor: 13.506

6.  Systematic Establishment of Robustness and Standards in Patient-Derived Xenograft Experiments and Analysis.

Authors:  Yvonne A Evrard; Anuj Srivastava; Jelena Randjelovic; James H Doroshow; Dennis A Dean; Jeffrey S Morris; Jeffrey H Chuang
Journal:  Cancer Res       Date:  2020-03-09       Impact factor: 12.701

7.  Nonlinear pharmacokinetics and metabolism of paclitaxel and its pharmacokinetic/pharmacodynamic relationships in humans.

Authors:  L Gianni; C M Kearns; A Giani; G Capri; L Viganó; A Lacatelli; G Bonadonna; M J Egorin
Journal:  J Clin Oncol       Date:  1995-01       Impact factor: 44.544

Review 8.  Growth rate analysis and efficient experimental design for tumor xenograft studies.

Authors:  Gregory Hather; Ray Liu; Syamala Bandi; Jerome Mettetal; Mark Manfredi; Wen-Chyi Shyu; Jill Donelan; Arijit Chakravarty
Journal:  Cancer Inform       Date:  2014-12-09

9.  Development of a quantitative pharmacodynamic assay for apoptosis in fixed tumor tissue and its application in distinguishing cytotoxic drug-induced DNA double strand breaks from DNA double strand breaks associated with apoptosis.

Authors:  Angie B Dull; Deborah Wilsker; Melinda Hollingshead; Christina Mazcko; Christina M Annunziata; Amy K LeBlanc; James H Doroshow; Robert J Kinders; Ralph E Parchment
Journal:  Oncotarget       Date:  2018-03-30

10.  Gene expression profiling of 49 human tumor xenografts from in vitro culture through multiple in vivo passages--strategies for data mining in support of therapeutic studies.

Authors:  Melinda G Hollingshead; Luke H Stockwin; Sergio Y Alcoser; Dianne L Newton; Benjamin C Orsburn; Carrie A Bonomi; Suzanne D Borgel; Raymond Divelbiss; Kelly M Dougherty; Elizabeth J Hager; Susan L Holbeck; Gurmeet Kaur; David J Kimmel; Mark W Kunkel; Angelena Millione; Michael E Mullendore; Howard Stotler; Jerry Collins
Journal:  BMC Genomics       Date:  2014-05-22       Impact factor: 3.969

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