Evidence map›Paper›PMID 26857779›Full record

ArticleEJNMMI research2016

Effects of erlotinib therapy on [(11)C]erlotinib uptake in EGFR mutated, advanced NSCLC.

Idris Bahce, Maqsood Yaqub, Hanane Errami, Robert C Schuit, Patrick Schober, Erik Thunnissen, Albert D Windhorst, Adriaan A Lammertsma, Egbert F Smit, N Harry Hendrikse

Open access · goldAbstract read
In one paragraph

Article in EJNMMI research, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed, 1 pooled it
3.3field-weighted citation impact, top 8% 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

16 citing papers in PubMed, 1 synthesis or guideline pooled it, 30 citations in OpenAlex.

  1. Pooled it
  2. Advances in PET imaging of cancer.Nature reviews. Cancer · 2023
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  5. Relationship between Biodistribution and Tracer Kinetics ofDiagnostics (Basel, Switzerland) · 2022
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  7. Current topics in medicinal chemistry · 2022
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  8. Review
  9. Review
  10. Evaluation of quantitative modeling methods in whole-body, dynamic [American journal of nuclear medicine and molecular imaging · 2021
    Article
  11. Review
  12. Article
  13. Comparison of fully-automated radiosyntheses of [EJNMMI radiopharmacy and chemistry · 2018
    Article
  14. Review
  15. [Molecular Imaging in vivo Detection of EGFR Mutations in Non-small Cell Lung Cancer].Zhongguo fei ai za zhi = Chinese journal of lung cancer · 2017
    Review
  16. 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

10 authors at 2 institutions in 1 country.

Idris BahceDepartment of Pulmonary Diseases, VU University Medical Center, PO Box 7057, 1007MB, Amsterdam, The Netherlands. i.bahce@vumc.nl.
Maqsood YaqubDepartment of Radiology & Nuclear Medicine, VU University Medical Center, Amsterdam, The Netherlands.
Hanane ErramiDepartment of Pulmonary Diseases, VU University Medical Center, PO Box 7057, 1007MB, Amsterdam, The Netherlands.
Robert C SchuitDepartment of Radiology & Nuclear Medicine, VU University Medical Center, Amsterdam, The Netherlands.
Patrick SchoberDepartment of Anesthesiology, VU University Medical Center, Amsterdam, The Netherlands.
Erik ThunnissenDepartment of Pathology, VU University Medical Center, Amsterdam, The Netherlands.
Albert D WindhorstDepartment of Radiology & Nuclear Medicine, VU University Medical Center, Amsterdam, The Netherlands.
Adriaan A LammertsmaDepartment of Radiology & Nuclear Medicine, VU University Medical Center, Amsterdam, The Netherlands.
Egbert F SmitDepartment of Pulmonary Diseases, VU University Medical Center, PO Box 7057, 1007MB, Amsterdam, The Netherlands.
N Harry HendrikseDepartment of Radiology & Nuclear Medicine, VU University Medical Center, Amsterdam, The Netherlands.
Amsterdam UMC Location VUmc · NLThe Netherlands Cancer Institute · NL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundIn non-small cell lung cancer (NSCLC) patients off erlotinib therapy, positron emission tomography (PET) using [(11)C]erlotinib distinguished epidermal growth factor receptor (EGFR) mutations from wild-type EGFR. However, tumor uptake of [(11)C]erlotinib during erlotinib therapy is unknown. Therefore, the aims of this study were to evaluate tumor [(11)C]erlotinib uptake in NSCLC patients both on and off erlotinib therapy, to evaluate the effect of erlotinib therapy on tumor perfusion and its correlation to tumor [(11)C]erlotinib uptake, and also, to investigate simplified uptake parameters using arterial and venous blood samples.

methodsTen patients were to be scanned twice with a 1-2-week interval, i.e., on (E+) and off (E-) erlotinib therapy. Each procedure consisted of a low-dose CT scan, a 10-min dynamic [(15)O]H2O PET scan, and a 60-min dynamic [(11)C]erlotinib PET scan with arterial and venous sampling at six time points. In patients(E+), the optimal compartment model was analyzed using Akaike information criterion. In patients(E-), the uptake parameter was the volume of distribution (V T), estimated by using metabolite-corrected plasma input curves based on image-derived input functions and discrete arterial and venous blood samples. Tumor blood flow (TBF) was determined by rate constant of influx (K1) of [(15)O]H2O using the 1T2k model and correlated with V T and K1 values of [(11)C]erlotinib. The investigated simplified parameters were standardized uptake value (SUV) and tumor-to-blood ratio (TBR) at 40-60 min pi interval.

resultsOf the 13 patients included, ten were scanned twice. In patients(E+), [(11)C]erlotinib best fitted the 2T4k model with V T. In all patients, tumor V T(E+) was lower than V T(E-) (median V T(E-) = 1.61, range 0.77-3.01; median V T(E+) = 1.17, range 0.53-1.74; P = 0.004). Using [(15)O]H2O, five patients were scanned twice. TBF did not change with erlotinib therapy, TBF showed a positive trend towards correlation with [(11)C]erlotinib K1, but not with V T. TBR40-50 and TBR50-60, using both arterial and venous sampling, correlated with V T(E-) (all r s >0.9, P < 0.001), while SUV did not. In patients off and on therapy, venous TBR underestimated arterial TBR by 26 ± 12 and 9 ± 9 %, respectively.

conclusionsIn patients on erlotinib in therapeutic dose, tumor V T decreases with high variability, independent of tumor perfusion. For simplification of [(11)C]erlotinib PET scanning protocols, both arterial and venous TBR 40-60 min post injection can be used; however, arterial and venous TBR values should not be interchanged as venous values underestimate arterial values.

trial registrationRegistered at the Netherlands Trial Registry: NTR3670 .

Indexed as

[11C]ErlotinibErlotinib therapyNSCLCPET

Identifiers

PMID26857779
PMCPMC4746207
OpenAlexW2266301015

What OpenQuestion holds

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LicenceCC BY
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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.