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Cancer Therapy: Clinical

Toxicity Attribution in Phase I Trials: Evaluating the Effect of Dose on the Frequency of Related and Unrelated Toxicities

Anne Eaton, Alexia Iasonos, Mrinal M. Gounder, Erika G. Pamer, Alexander Drilon, Diana Vulih, Gary L. Smith, S. Percy Ivy, David R. Spriggs and David M. Hyman
Anne Eaton
1Department of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, New York, New York.
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Alexia Iasonos
1Department of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, New York, New York.
2Weill Cornell Medical College, New York, New York.
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Mrinal M. Gounder
2Weill Cornell Medical College, New York, New York.
3Developmental Therapeutics, Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, New York.
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Erika G. Pamer
3Developmental Therapeutics, Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, New York.
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Alexander Drilon
2Weill Cornell Medical College, New York, New York.
3Developmental Therapeutics, Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, New York.
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Diana Vulih
4Theradex Systems, Inc., Princeton, New Jersey.
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Gary L. Smith
5The National Cancer Institute, Bethesda, Maryland.
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S. Percy Ivy
5The National Cancer Institute, Bethesda, Maryland.
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David R. Spriggs
2Weill Cornell Medical College, New York, New York.
3Developmental Therapeutics, Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, New York.
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David M. Hyman
2Weill Cornell Medical College, New York, New York.
3Developmental Therapeutics, Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, New York.
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  • For correspondence: hymand@mskcc.org
DOI: 10.1158/1078-0432.CCR-15-0339 Published February 2016
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Abstract

Purpose: Phase I studies rely on investigators to accurately attribute adverse events as related or unrelated to study drug. This information is ultimately used to help establish a safe dose. Attribution in the phase I setting has not been widely studied and assessing the accuracy of attribution is complicated by the lack of a gold standard. We examined dose–toxicity relationships as a function of attribution and toxicity category to evaluate for evidence of toxicity misattribution.

Experimental Design: Individual patient records from 38 phase I studies activated between 2000 and 2010 were used. Dose was defined as a percentage of maximum dose administered on each study. Relationships between dose and patient-level toxicity were explored graphically and with logistic regression. All P values were two-sided.

Results: 11,909 toxicities from 1,156 patients were analyzed. Unrelated toxicity was not associated with dose (P = 0.0920 for grade ≥3, P = 0.4194 for grade ≥1), whereas related toxicity increased with dose (P < 0.0001, both grade ≥3 and ≥1). Similar results were observed across toxicity categories. In the five-tier system, toxicities attributed as “possibly,” “probably,” or “definitely” related were associated with dose (all P < 0.0001), whereas toxicities attributed as “unlikely” or “unrelated” were not (all P > 0.1).

Conclusions: Reassuringly, we did not observe an association between unrelated toxicity rate and dose, an association that could only have been explained by physician misattribution. Our findings also confirmed our expectation that related toxicity rate increases with dose. Our analysis supports simplifying attribution to a two-tier system by collapsing “possibly,” “probably,” and “definitely” related. Clin Cancer Res; 22(3); 553–9. ©2015 AACR.

See related commentary by Sharma and Ratain, p. 527

Footnotes

  • Note: Supplementary data for this article are available at Clinical Cancer Research Online (http://clincancerres.aacrjournals.org/).

  • Received February 19, 2015.
  • Revision received June 5, 2015.
  • Accepted August 9, 2015.
  • ©2015 American Association for Cancer Research.
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Clinical Cancer Research: 22 (3)
February 2016
Volume 22, Issue 3
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Toxicity Attribution in Phase I Trials: Evaluating the Effect of Dose on the Frequency of Related and Unrelated Toxicities
Anne Eaton, Alexia Iasonos, Mrinal M. Gounder, Erika G. Pamer, Alexander Drilon, Diana Vulih, Gary L. Smith, S. Percy Ivy, David R. Spriggs and David M. Hyman
Clin Cancer Res February 1 2016 (22) (3) 553-559; DOI: 10.1158/1078-0432.CCR-15-0339

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Toxicity Attribution in Phase I Trials: Evaluating the Effect of Dose on the Frequency of Related and Unrelated Toxicities
Anne Eaton, Alexia Iasonos, Mrinal M. Gounder, Erika G. Pamer, Alexander Drilon, Diana Vulih, Gary L. Smith, S. Percy Ivy, David R. Spriggs and David M. Hyman
Clin Cancer Res February 1 2016 (22) (3) 553-559; DOI: 10.1158/1078-0432.CCR-15-0339
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