Evidence map›Paper›PMID 29453635›Full record

ArticleCancer chemotherapy and pharmacology2018

Monitoring of erlotinib in pancreatic cancer patients during long-time administration and comparison to a physiologically based pharmacokinetic model.

Andrea Gruber, Martin Czejka, Philipp Buchner, Marie Kitzmueller, Nairi Kirchbaumer Baroian, Christian Dittrich, Azra Sahmanovic Hrgovcic

Abstract readComparative Study
In one paragraph

Article in Cancer chemotherapy and pharmacology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing 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

13 citing papers in PubMed.

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  7. Managing Drug Interactions With Oral Anticancer Treatments.Journal of the advanced practitioner in oncology · 2023
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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

7 authors.

Andrea GruberDivision of Clinical Pharmacy and Diagnostics, Faculty of Life Sciences, University of Vienna, Althanstrasse 14, 1090, Vienna, Austria. andrea.gruber@univie.ac.at.ORCID 0000-0001-8298-5090
Martin CzejkaDivision of Clinical Pharmacy and Diagnostics, Faculty of Life Sciences, University of Vienna, Althanstrasse 14, 1090, Vienna, Austria.ORCID 0000-0002-9754-0921
Philipp BuchnerDivision of Clinical Pharmacy and Diagnostics, Faculty of Life Sciences, University of Vienna, Althanstrasse 14, 1090, Vienna, Austria.
Marie KitzmuellerDivision of Clinical Pharmacy and Diagnostics, Faculty of Life Sciences, University of Vienna, Althanstrasse 14, 1090, Vienna, Austria.
Nairi Kirchbaumer BaroianDivision of Clinical Pharmacy and Diagnostics, Faculty of Life Sciences, University of Vienna, Althanstrasse 14, 1090, Vienna, Austria.
Christian DittrichApplied Cancer Research - Institution for Translational Research Vienna (ACR-ITR VIEnna) and Ludwig Boltzmann Institute for Applied Cancer Research (LBI-ACR VIEnna), Centre for Oncology and Hematology, Kaiser Franz Josef-Spital, Bernardgasse 24/2, 1070, Vienna, Austria.
Azra Sahmanovic HrgovcicDivision of Clinical Pharmacy and Diagnostics, Faculty of Life Sciences, University of Vienna, Althanstrasse 14, 1090, Vienna, Austria.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeIn this study, a therapeutic drug monitoring (TDM) of erlotinib in pancreatic cancer patients was performed over 50 weeks to reveal possible alterations in erlotinib plasma concentrations. Additionally, a physiologically based pharmacokinetic (PBPK) model was created to assess such variations in silico.

methodsPatients with advanced pancreatic cancer received a chemotherapeutic combination of 100 mg erlotinib q.d., 500-900 mg capecitabine b.d. and 5 mg/kg bevacizumab q.2wks. Samples were analyzed by HPLC and the results were compared to a PBPK model, built with the software GastroPlus™ and based on calculated and literature data.

resultsThe erlotinib plasma concentrations did not show any accumulation, but displayed a high inter-patient variability over the whole investigated period. Trough plasma concentrations ranged from 0.04 to 1.22 µg/ml after day 1 and from 0.01 to 2.4 µg/ml in the long-term assessment. 7% of the patients showed concentrations below the necessary activity threshold of 0.5 µg/ml during the first week. The impact of some co-variates on the pharmacokinetic parameters C

conclusionThis study presents the approach of combining TDM and PBPK modeling for erlotinib, a drug with a high interaction potential. TDM is an important method to monitor drugs with increased inter-patient variability, additionally, the PBPK model contributed valuable insights to the interaction mechanisms involved, resulting in an effective combination from a PK perspective to ensure a safe treatment.

Indexed as

Drug MonitoringModels, BiologicalAgedAged, 80 and overAntineoplastic Combined Chemotherapy ProtocolsBevacizumabCapecitabineComputer SimulationErlotinib HydrochlorideFemaleFollow-Up StudiesHumansMaleMiddle AgedPancreatic NeoplasmsPrognosisBevacizumabCapecitabineErlotinib HydrochlorideErlotinibInteraction assessmentLong-time administrationPBPK modelTherapeutic drug monitoring

Identifiers

PMID29453635
PMCPMC5854746

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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.