Evidence map›Paper›PMID 24785551›Full record

ArticleCPT: pharmacometrics & systems pharmacology2014

Multiscale design of cell-type-specific pharmacokinetic/pharmacodynamic models for personalized medicine: application to temozolomide in brain tumors.

A Ballesta, Q Zhou, X Zhang, H Lv, J M Gallo

Open access · goldAbstract read
In one paragraph

Article in CPT: pharmacometrics & systems pharmacology, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 34 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
34citing papers in PubMed, 1 pooled it
4.5field-weighted citation impact, top 6% of its field
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

34 citing papers in PubMed, 1 synthesis or guideline pooled it, 62 citations in OpenAlex.

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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

5 authors at 2 institutions in 1 country.

A BallestaDepartment of Pharmacology and Systems Therapeutics, Mount Sinai School of Medicine, New York, New York, USA.
Q ZhouDepartment of Pharmaceutical Sciences, College of Pharmacy, University of South Florida, Tampa, Florida, USA.
X ZhangDepartment of Pharmacology and Systems Therapeutics, Mount Sinai School of Medicine, New York, New York, USA.
H LvDepartment of Pharmacology and Systems Therapeutics, Mount Sinai School of Medicine, New York, New York, USA.
J M GalloDepartment of Pharmacology and Systems Therapeutics, Mount Sinai School of Medicine, New York, New York, USA.
Icahn School of Medicine at Mount Sinai · USUniversity of South Florida · US

Funding

INTERACTIONS BETWEEN CYTOTOXIC AND ANTIANGIOGENIC DRUGSR01CA072937 · NCI · TEMPLE UNIV OF THE COMMONWEALTH · PI GALLO, JAMES M. · 1998 to 2015
$2.3M
NCI NIH HHS R01 CA072937
6 · The paper itself

Abstract

Optimizing anticancer therapeutics needs to account for variable drug responses in heterogeneous cell populations within the tumor as well as in organs of toxicity. To address cell heterogeneity, we propose a multiscale modeling approach-from in vitro to preclinical and clinical studies-to develop cell-type-specific pharmacokinetic-pharmacodynamic (PK-PD) models. A physiologically based mechanistic modeling approach integrating data from aqueous solutions, U87 glioma cells, mice, and cancer patients was utilized to characterize the brain disposition of temozolomide (TMZ), the cornerstone of chemotherapy against glioblastoma multiforme. The final model represented intracellular normal brain and brain tumor compartments in which TMZ pH-dependent conversion to the DNA-alkylating species leads to the formation of DNA adducts that serve as an entry point for a PD model. This multiscale protocol can be extended to account for TMZ PK-PD in different cell populations, thus providing a critical tool to personalize TMZ-based chemotherapy on a cell-type-specific basis.

Identifiers

PMID24785551
PMCPMC4017092
OpenAlexW2056044064

What OpenQuestion holds

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Registered trials

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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.