Evidence map›Paper›PMID 29066114›Full record

ArticleJournal of theoretical biology2018

Tissue transport affects how treatment scheduling increases the efficacy of chemotherapeutic drugs.

Dan E Ganz, Briana Sexton-Stallone, Emily L Brackett, Neil S Forbes

Abstract read
In one paragraph

Article in Journal of theoretical biology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Dan E GanzDepartment of Chemical Engineering, University of Massachusetts, Amherst, 159 Goessmann Laboratory, 686 North Pleasant St., Amherst 01003, MA, USA.
Briana Sexton-StalloneDepartment of Chemical Engineering, University of Massachusetts, Amherst, 159 Goessmann Laboratory, 686 North Pleasant St., Amherst 01003, MA, USA.
Emily L BrackettDepartment of Chemical Engineering, University of Massachusetts, Amherst, 159 Goessmann Laboratory, 686 North Pleasant St., Amherst 01003, MA, USA.
Neil S ForbesDepartment of Chemical Engineering, University of Massachusetts, Amherst, 159 Goessmann Laboratory, 686 North Pleasant St., Amherst 01003, MA, USA. Electronic address: forbes@umass.edu.

Funding

Targeting epigenetic regulators using bacterial macromolecule deliveryR01CA188382 · NCI · UNIVERSITY OF MASSACHUSETTS AMHERST · PI FORBES, NEIL S. · 2014 to 2018
$1.6M
NCI NIH HHS R01 CA188382
6 · The paper itself

Abstract

A method to predict the effect of tissue transport on the scheduling of chemotherapeutic treatment could increase efficacy. Many drugs with desirable pharmacokinetic properties fail in vivo due to poor transport through tissue. To predict the effect of treatment schedule on drug efficacy we developed an in silico method that integrates diffusion through tissue and cell binding into a pharmacokinetic model. The model was evaluated with an array of theoretical drugs that had different rates of diffusivity, binding, and clearance. The efficacy of each drug, quantified as the fraction of cells killed, was calculated for twenty dosage schedules. Simulations showed that efficacy strongly depended on tissue transport, with a range of 0.00 to 99.99%, despite each drug having equal plasma areas under the curve (AUC). For most drugs, schedules that increased exposure also increased efficacy. Drugs with fast clearance benefited the most from increasing the number of doses and this was most effective for those with intermediary binding. All drugs with slow diffusivity were ineffective. For a subset of drugs, increasing the number of doses decreased efficacy. This phenomenon was unexpected because, when considering uptake into tissue, sustained plasma levels from multiple doses are generally assumed to be more effective. This counterintuitive decrease in efficacy was caused by drug retention within tumor tissue. These results established a set of rules that suggests how transport parameters affect the efficacy of drugs at different schedules. The two most predominant rules are (1) multiple doses improve efficacy for drugs with fast clearance, fast diffusivity and low to intermediate cell binding; and (2) one dose is most effective for drugs with slow clearance, slow diffusivity or strong cell binding. Understanding the role of tissue transport when determining drug treatment schedules would improve the outcome of preclinical animal experiments and early clinical trials.

Indexed as

Antineoplastic AgentsBiological TransportCell SurvivalDose-Response Relationship, DrugDrug Administration ScheduleHalf-LifeModels, BiologicalTreatment OutcomeAntineoplastic AgentsCell bindingChemotherapyDiffusionOptimal treatment schedulePharmacokineticsRetentionTissue transport model

Identifiers

PMID29066114
PMCPMC9909584

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.