Evidence map›Paper›PMID 24505298›Full record

Trial reportPloS one2014

[¹⁸F]FDG positron emission tomography within two weeks of starting erlotinib therapy can predict response in non-small cell lung cancer patients.

Mammar Hachemi, Olivier Couturier, Laurent Vervueren, Pacôme Fosse, Franck Lacœuille, Thierry Urban, José Hureaux

Open access · goldAbstract readClinical Trial
In one paragraph

Trial report in PloS one, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
4.6field-weighted citation impact, top 5% 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

14 citing papers in PubMed, 26 citations in OpenAlex.

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  5. Assessment of very early response evaluation withAmerican journal of nuclear medicine and molecular imaging · 2018
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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 at 3 institutions in 1 country.

Mammar HachemiLUNAM Université, 49 000, Angers, France ; Université d'Angers, CHU Angers, Pôle de Radiologie, Service de Médecine Nucléaire, Angers, France.
Olivier CouturierLUNAM Université, 49 000, Angers, France ; Université d'Angers, CHU Angers, Pôle de Radiologie, Service de Médecine Nucléaire, Angers, France ; INSERM UMR_S 1066 Micro et Nanomédecines Biomimétiques, Angers, France.
Laurent VervuerenLUNAM Université, 49 000, Angers, France ; Université d'Angers, CHU Angers, Pôle de Radiologie, Service de Médecine Nucléaire, Angers, France.
Pacôme FosseLUNAM Université, 49 000, Angers, France ; Université d'Angers, CHU Angers, Pôle de Radiologie, Service de Médecine Nucléaire, Angers, France.
Franck LacœuilleLUNAM Université, 49 000, Angers, France ; Université d'Angers, CHU Angers, Pôle de Radiologie, Service de Médecine Nucléaire, Angers, France ; INSERM UMR_S 1066 Micro et Nanomédecines Biomimétiques, Angers, France.
Thierry UrbanLUNAM Université, 49 000, Angers, France ; INSERM UMR_S 1066 Micro et Nanomédecines Biomimétiques, Angers, France ; Université d'Angers, CHU Angers, Pôle des Spécialités Médicales et Chirurgicales Intégrées, Département de Pneumologie, Angers, France ; Université d'Angers, Equipe Pyver, Angers, France.
José HureauxLUNAM Université, 49 000, Angers, France ; INSERM UMR_S 1066 Micro et Nanomédecines Biomimétiques, Angers, France ; Université d'Angers, CHU Angers, Pôle des Spécialités Médicales et Chirurgicales Intégrées, Département de Pneumologie, Angers, France ; Université d'Angers, Equipe Pyver, Angers, France.
Centre Hospitalier Universitaire d'Angers · FRUniversité Nantes Angers Le Mans · FRMicro et Nanomédecines translationnelles

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeThe aim of this prospective study was to evaluate whether [¹⁸F]FDG-PET/CT, performed within two weeks of starting erlotinib therapy can predict tumor response defined by RECIST 1.1 criteria after 8 weeks of treatment in patients with inoperable (stage IIIA to IV) non-small cell lung cancer patients. PATIENTS AND

methodsThree [¹⁸F]FDG-PET/CT scans were acquired in 12 patients before (5±4 days) and after 9±3 days (early PET) and 60±6 days (late PET) of erlotinib therapy. Conventional evaluation, including at least chest CT (baseline versus after 8 weeks of treatment), was performed according to RECIST 1.1 criteria. Change in [¹⁸F]FDG uptake was compared with conventional response, progression-free survival (PFS), and overall survival (OS).

resultsBy using ROC analysis, the Area Under the Curve for prediction of metabolic non-progressive disease (mNP) by early PET was 0.86 (95% CI, 0.62 to 1.1; P = 0.04) at a cut-off of 21.6% reduction in maximum Standardized Uptake Value (SUVmax). This correctly classified 11/12 patients (7 with true progressive disease; 4 with true non-progressive disease; 1 with false progressive disease). Non-progressive disease after 8 weeks of treatment according to RECIST 1.1 criteria was significantly more frequent in patients classified mNP (P = 0.01, Fisher's exact test). mNP patients showed prolonged PFS (HR = 0.27; 95% CI, 0.04 to 0.59; P<0.01) and OS (HR = 0.34; 95% CI, 0.06 to 0.84; P = 0.03). Late PET analysis provided concordant results.

conclusionMorphologic response, PFS and OS survival in non-small cell lung cancer patients can be predicted by [¹⁸F]FDG-PET/CT scan within 2 weeks after starting erlotinib therapy.

Indexed as

Carcinoma, Non-Small-Cell LungLung NeoplasmsPositron-Emission TomographyAdultAgedDisease-Free SurvivalErlotinib HydrochlorideFemaleFluorodeoxyglucose F18HumansMaleMiddle AgedProtein Kinase InhibitorsQuinazolinesRadiographyRadiopharmaceuticalsErlotinib HydrochlorideFluorodeoxyglucose F18Protein Kinase InhibitorsQuinazolinesRadiopharmaceuticals

Identifiers

PMID24505298
PMCPMC3914822
OpenAlexW1972209672

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.