Cited by 10Statistical Methods in Clinical TrialsComputational Drug Discovery MethodsOptimal Experimental Design Methods

Assessing interactions for fixed-dose drug combinations in subcutaneous tumor xenograft studies

Open access
Wu, Jianrong·2013·Pharmaceutical Statistics

Abstract

Drug combinations in preclinical tumor xenograft studies are often assessed using fixed doses. Assessing the joint action of drug combinations with fixed doses has not been well developed in the literature. Here, an interaction index is proposed for fixed‐dose drug combinations in a subcutaneous tumor xenograft model. Furthermore, a bootstrap percentile interval of the interaction index is also developed. The joint action of two drugs can be assessed on the basis of confidence limits of the interaction index. Tumor xenograft data from actual two‐drug combination studies are analyzed to illustrate the proposed method. Copyright © 2013 John Wiley & Sons, Ltd.

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  • CI cannot be calculated after a day when most or all mice in the vehicle control group are euthanized because their tumors reach a size threshold faster than drug-treated tumors.

    “or that CI cannot be calculated after a day when most or all mice in the vehicle control group are euthanized because their tumors reach certain size threshold faster than drug-treated tumors.”

    From Statistical Assessment of Drug Synergy from <i>In Vivo</i> Combination Studies Using Mouse Tumor Models (2023) · cites this paper as [25]

    Section 2 (page unavailable) says mice are euthanized when tumors reach four times their initial volume, leaving incomplete longitudinal tumor-volume data. Section 6 reports that control tumors reached this endpoint earlier than treated tumors in the examples. The paper does not say that CI cannot be calculated after a particular day when most or all control mice have been euthanized; Section 4 instead describes a confidence interval based on tumor-quadrupling times. (LLM, conf=0.85)

    Experimental — accuracy not yet measured
  • Existing methods have trouble dealing with missing and unbalanced TV data even though mathematical interpolation is used to patch missing data with unmeasurable uncertainty.

    “or have trouble dealing with missing and unbalanced TV data even though mathematical interpolation is used to patch missing data with unmeasurable uncertainty”

    From Statistical Assessment of Drug Synergy from <i>In Vivo</i> Combination Studies Using Mouse Tumor Models (2023) · cites this paper as [25]

    Section 2 (page not available) says that euthanizing mice produces incomplete longitudinal tumor-volume data and describes interpolation to estimate the time of tumor quadrupling between measurements. It does not say that interpolation patches missing tumor-volume measurements, that existing methods struggle with unbalanced data, or that the uncertainty is unmeasurable. (LLM, conf=0.84)

    Experimental — accuracy not yet measured
  • Existing methods have limited power to detect synergy in animal studies.

    “Existing methods have limited power to detect synergy in animal studies.”

    From Statistical Assessment of Drug Synergy from <i>In Vivo</i> Combination Studies Using Mouse Tumor Models (2023) · cites this paper as [25]

    The Introduction says dose-response surface methods are not applicable to fixed-dose combination studies and that testing a combination’s superiority over its components does not establish drug interaction. It connects this limitation to preclinical tumor xenograft studies, but does not report that existing methods have low statistical power to detect synergy across animal studies generally. (LLM, conf=0.82)

    Experimental — accuracy not yet measured
  • Wu's alternative Bliss CI based on survival analysis parameters becomes undefined if tumors shrink in any group.

    “Subsequently, Wu defined an alternative Bliss CI based on parameters estimated from survival analysis; however, the index becomes undefined if tumors shrink in any group, which is often seen for efficacious drugs (25).”

    From Statistical Assessment of Drug Synergy from <i>In Vivo</i> Combination Studies Using Mouse Tumor Models (2023) · cites this paper as [25]

    Sections 3 (Interaction Index) and 4 (Confidence Interval) define a Bliss-based interaction index using tumor-growth delays estimated from median tumor quadrupling times. The paper does not say the index becomes undefined whenever tumors shrink; Section 3 explicitly discusses treated tumors regrowing, while Section 2 treats tumors that do not quadruple during follow-up as censored. Page numbers are unavailable in our copy. (LLM, conf=0.87)

    Experimental — accuracy not yet measured
  • Existing methods impose unrealistic assumptions for tumor growth and TV data.

    “These methods, however, have inherent limitations because they either impose unrealistic assumptions for tumor growth and TV data”

    From Statistical Assessment of Drug Synergy from <i>In Vivo</i> Combination Studies Using Mouse Tumor Models (2023) · cites this paper as [25]

    The Introduction says some existing methods are inapplicable to fixed-dose studies or assess superiority rather than drug interaction. Section 2 describes incomplete longitudinal tumor-volume data. Neither passage says those methods impose unrealistic assumptions about tumor growth or tumor-volume data, so the stated reason for their limitations is not supported. (LLM, conf=0.73)

    Experimental — accuracy not yet measured

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Cites

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Authors
Wu, J.
Affiliations
St. Jude Children's Research Hospital (US)
Corresponding author
Wu, Jianrong
Venue
Pharmaceutical Statistics
Publisher
Wiley
Published
2013-03-07
Volume
12
Issue
3
Pages
115-119
ISSN
  • 1539-1604 (ISSN-L)
  • 1539-1612
OpenAlex
W2043439719
Cited by
10
References
0
Citations by year
2026: 1 · 2025: 1 · 2023: 4 · 2022: 1 · 2021: 1 · 2018: 1 · 2017: 1
FWCI
0.00
Type
journal article
Language
en
Open access
Locations
  • Pharmaceutical Statistics (publishedVersion)
  • PubMed (publishedVersion)
  • Europe PMC (PubMed Central) (acceptedVersion)
  • PubMed Central (acceptedVersion)
Funders
  • American Lebanese Syrian Associated Charities
  • National Institutes of Health (n01cm42216-11-0-1)
  • National Cancer Institute (N01CM42216, P01CA023099, N01 CM042216, CA21765, P30CA021765)
Topics
  • Physical Sciences › Mathematics › Statistics and Probability › Statistical Methods in Clinical Trials
  • Physical Sciences › Computer Science › Computational Theory and Mathematics › Computational Drug Discovery Methods
  • Social Sciences › Decision Sciences › Management Science and Operations Research › Optimal Experimental Design Methods
Keywords
fixed-dose combination, subcutaneous xenograft, confidence limits, anticancer drug combination
MeSH terms
Animals, Antineoplastic Combined Chemotherapy Protocols, Drug Interactions, Drug Evaluation, Preclinical, Humans, Neoplasms, Experimental, Xenograft Model Antitumor Assays

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