Cited by 4Mathematical Biology Tumor GrowthStatistical Methods in Clinical TrialsStatistical Methods and Bayesian Inference

Detecting bliss synergy in in vivo combination studies with a tumor kinetic model

Zhao, Wei, Vicini, Paolo, Novick, Steven, Anderton, Judith, Davies, Gareth, DAngelo, Gina, O'Day, Terrance, Yu, Binbing +4 more·2019·Pharmaceutical Statistics

Abstract

SUMMARY: Linear models are generally reliable methods for analyzing tumor growth in vivo, with drug effectiveness being represented by the steepness of the regression slope. With immunotherapy, however, not all tumor growth follows a linear pattern, even after log transformation. Tumor kinetics models are mechanistic models that describe tumor proliferation and tumor killing macroscopically, through a set of differential equations. In drug combination studies, although an additional drug‐drug interaction term can be added to such models, however, the drug interactions suggested by tumor kinetics models cannot be translated directly into synergistic effects. We have developed a novel statistical approach that simultaneously models tumor growth in control, monotherapy, and combination therapy groups. This approach makes it possible to test for synergistic effects directly and to compare such effects among different studies.

Integrity signals

Registry

Crossref · 10.1002/pst.1952

Cites

1 of 1 references verified0 citation errors · 0 not checkable

Statistics

Recomputing p-values needs the paper’s full text.

Claims the paper makes

This paper’s full text isn’t openly available, so its claims and self-check weren’t run. The registry and citation checks still apply.

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

  • Zhao and colleagues derived a Bliss independence index using differential equations to model tumor growth, which is equivalent to the interaction index in Wu and colleagues.

    “Zhao and colleagues used differential equations to model tumor growth and derived a Bliss independence index (26), which is equivalent to interaction index in Wu and colleagues (24).”

Cites

Flagged first, then by citations

Cited by

Authors
Zhao, W., Vicini, P., Novick, S., Anderton, J., Davies, G., DAngelo, G., O'Day, T., Yu, B., Harper, J., Narwal, R., Roskos, L., & Yang, H.
Affiliations
  • AstraZeneca (United Kingdom) (GB)
  • Statistical Sciences AstraZeneca PLC Cambridge UK
Corresponding author
Zhao, Wei
Venue
Pharmaceutical Statistics
Publisher
Wiley
Published
2019-05-29
Volume
18
Issue
6
Pages
688-699
ISSN
  • 1539-1604 (ISSN-L)
  • 1539-1612
OpenAlex
W2947776589
Cited by
4
References
1
Citations by year
2025: 2 · 2023: 2
FWCI
0.00
Type
journal article
Language
en
Open access
closed
Locations
  • Pharmaceutical Statistics (publishedVersion)
  • PubMed (publishedVersion)
Funders
AstraZeneca
Topics
  • Physical Sciences › Mathematics › Modeling and Simulation › Mathematical Biology Tumor Growth
  • Physical Sciences › Mathematics › Statistics and Probability › Statistical Methods in Clinical Trials
  • Physical Sciences › Mathematics › Statistics and Probability › Statistical Methods and Bayesian Inference
Keywords
drug synergy, drug-drug interactions, tumor growth, immunotherapy, combination therapy, mechanistic modeling, differential equations, monotherapy
MeSH terms
Antineoplastic Combined Chemotherapy Protocols, Drug Interactions, Drug Synergism, Humans, Immunotherapy, Kinetics, Models, Theoretical, Neoplasms, Linear Models, Treatment Outcome

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review