Evidence map›Paper›PMID 28359318›Full record

ArticleJournal of translational medicine2017

24h-gene variation effect of combined bevacizumab/erlotinib in advanced non-squamous non-small cell lung cancer using exon array blood profiling.

Florent Baty, Markus Joerger, Martin Früh, Dirk Klingbiel, Francesco Zappa, Martin Brutsche

Registry-linked trialAbstract read
In one paragraph

Article in Journal of translational medicine, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT00354549 (Bevacizumab and Erlotinib First-Line Therapy in Advanced Non-Squamous Non-Small-Cell Lung Cancer), which is not on this map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing 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.

NCT00354549 phase2completednot on this map

Bevacizumab and Erlotinib First-Line Therapy in Advanced Non-Squamous Non-Small-Cell Lung Cancer (Stage IIIB/IV) Followed by Platinum-Based Chemotherapy at Disease Progression. A Multicenter Phase II Trial

TypeinterventionalSponsorSwiss Cancer InstituteRan2006 to 2010Enrolled104ConditionsLung CancerArmsbevacizumab + erlotinib hydrochloride, gemcitabine hydrochloride + cisplatin or carboplatin
3 · Its place in the literature

Who cites it

15 citing papers in PubMed.

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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

6 authors.

Florent BatyDepartment of Pulmonary Medicine, Cantonal Hospital St. Gallen, Roschacherstrasse 95, 9007, St. Gallen, Switzerland. florent.baty@kssg.ch.
Markus JoergerDepartment of Medical Oncology and Hematology, Cantonal Hospital St. Gallen, Roschacherstrasse 95, 9007, St. Gallen, Switzerland.
Martin FrühDepartment of Medical Oncology and Hematology, Cantonal Hospital St. Gallen, Roschacherstrasse 95, 9007, St. Gallen, Switzerland.
Dirk KlingbielSwiss Group for Clinical Cancer Research, Effingerstrasse 40, 3008, Bern, Switzerland.
Francesco ZappaOncology Institute of Southern Switzerland, Ospedale Regionale San Giovanni, 6500, Belinzona, Switzerland.
Martin BrutscheDepartment of Pulmonary Medicine, Cantonal Hospital St. Gallen, Roschacherstrasse 95, 9007, St. Gallen, Switzerland.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe SAKK 19/05 trial investigated the safety and efficacy of the combined targeted therapy bevacizumab and erlotinib (BE) in unselected patients with advanced non-squamous non-small cell lung cancer (NSCLC). Although activating EGFR mutations were the strongest predictors of the response to BE, some patients not harboring driver mutations could benefit from the combined therapy. The identification of predictive biomarkers before or short after initiation of therapy is therefore paramount for proper patient selection, especially among EGFR wild-types. The first aim of this study was to investigate the early change in blood gene expression in unselected patients with advanced non-squamous NSCLC treated by BE. The second aim was to assess the predictive value of blood gene expression levels at baseline and 24h after BE therapy.

methodsBlood samples from 43 advanced non-squamous NSCLC patients taken at baseline and 24h after initiation of therapy were profiled using Affymetrix' exon arrays. The 24h gene dysregulation was investigated in the light of gene functional annotations using gene set enrichment analysis. The predictive value of blood gene expression levels was assessed and validated using an independent dataset.

resultsSignificant gene dysregulations associated with the 24h-effect of BE were detected from blood-based whole-genome profiling. BE had a direct effect on "Pathways in cancer", by significantly down-regulating genes involved in cytokine-cytokine receptor interaction, MAPK signaling pathway and mTOR signaling pathway. These pathways contribute to phenomena of evasion of apoptosis, proliferation and sustained angiogenesis. Other signaling pathways specifically reflecting the mechanisms of action of erlotinib and the anti-angiogenesis effect of bevacizumab were activated. The magnitude of change of the most dysregulated genes at 24h did not have a predictive value regarding the patients' response to BE. However, predictive markers were identified from the gene expression levels at 24h regarding time to progression under BE.

conclusionsThe 24h-effect of the combined targeted therapy BE could be accurately monitored in advanced non-squamous NSCLC blood samples using whole-genome exon arrays. Putative predictive markers at 24h could reflect patients' response to BE after adjusting for their mutational status. Trial registration ClinicalTrials.gov: NCT00354549.

Indexed as

AdultAgedAntineoplastic Combined Chemotherapy ProtocolsBevacizumabCarcinoma, Non-Small-Cell LungDisease ProgressionErlotinib HydrochlorideExonsFemaleGene Expression Regulation, NeoplasticHumansLung NeoplasmsMaleMiddle AgedNeoplasm StagingSignal TransductionBevacizumabErlotinib HydrochlorideBlood predictive markersCombined targeted therapiesExon arraysNon-small cell lung cancer

Identifiers

PMID28359318
PMCPMC5372268

What Socratic holds

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Registered trials

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 Socratic graph.