Evidence map›Paper›PMID 30710324›Full record

ReviewThe AAPS journal2019

Systemic Bioequivalence Is Unlikely to Equal Target Site Bioequivalence for Nanotechnology Oncologic Products.

Jessie L-S Au, Ze Lu, Roberto A Abbiati, M Guillaume Wientjes

Abstract readReview
In one paragraph

Review in The AAPS journal, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Review
  3. 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.

Jessie L-S AuInstitute of Quantitative Systems Pharmacology, 1815 Aston Avenue, suite 107, Carlsbad, California, 92008, USA. jau@i-qsp.org.
Ze LuInstitute of Quantitative Systems Pharmacology, 1815 Aston Avenue, suite 107, Carlsbad, California, 92008, USA.
Roberto A AbbiatiInstitute of Quantitative Systems Pharmacology, 1815 Aston Avenue, suite 107, Carlsbad, California, 92008, USA.
M Guillaume WientjesInstitute of Quantitative Systems Pharmacology, 1815 Aston Avenue, suite 107, Carlsbad, California, 92008, USA.

Funding

Targeting multiple signaling steps to achieve synergyR01CA163015 · NCI · OPTIMUM THERAPEUTICS, LLC · PI AU, JESSIE L.-S., WIENTJES, M GUILLAUME · 2012 to 2017
$1.9M
Multiscale computational models for developing combination cancer therapyR01GM100487 · NIGMS · OPTIMUM THERAPEUTICS, LLC · PI AU, JESSIE L.-S., WIENTJES, M GUILLAUME · 2011 to 2014
$1.3M
Capturing dynamic and inter-dependent biointerfaces in nanotechnology designsR01EB015253 · NIBIB · OPTIMUM THERAPEUTICS, LLC · PI AU, JESSIE L.-S., WIENTJES, M GUILLAUME · 2011 to 2014
$1.1M
NCI NIH HHS R01 CA163015NIBIB NIH HHS R01 EB015253NIGMS NIH HHS R01 GM100487
6 · The paper itself

Abstract

Approval of generic drugs by the US Food and Drug Administration (FDA) requires the product to be pharmaceutically equivalent to the reference listed drug (RLD) and demonstrate bioequivalence (BE) in effectiveness when administered to patients under the conditions in the RLD product labeling. Effectiveness is determined by drug exposure at the target sites. However, since such measurement is usually unavailable, systemic exposure is assumed to equal target site exposure and systemic BE to equal target site BE. This assumption, while it often applies to small molecule drug products that are readily dissolved in biological fluids and systemically absorbed, is unlikely to apply to nanotechnology products (NP) that exist as heterogeneous systems and are subjected to dimension- and material-dependent changes. This commentary provides an overview of the intersecting and spatial-dependent processes and variables governing the delivery and residence of oncologic NP in solid tumors. In order to provide a quantitative perspective of the collective effects of these processes, we used quantitative systems pharmacology (QSP) multi-scale modeling to capture the physicochemical and biological events on several scales (whole-body, organ/suborgan, cell/subcellular, spatial locations, time). QSP is an emerging field that entails using modeling and computation to facilitate drug development; an analogous approach (i.e., model-informed drug development) is advocated by to FDA. The QSP model-based simulations illustrated that small changes in NP attributes (e.g., size variations during manufacturing, interactions with proteins in biological milieu) could lead to disproportionately large differences in target site exposure, rending systemic BE unlikely to equal target site BE.

Indexed as

Drug ApprovalAntineoplastic AgentsDrug CarriersDrugs, GenericHumansNanoparticlesNeoplasmsParticle SizeTherapeutic EquivalencyTissue DistributionUnited StatesUnited States Food and Drug AdministrationAntineoplastic AgentsDrug CarriersDrugs, GenericFDAnanotechnologyquantitative systems pharmacologysystemic bioequivalencetarget site bioequivalence

Identifiers

PMID30710324
PMCPMC6432930

What OpenQuestion holds

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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.