Evidence map›Paper›PMID 31909188›Full record

ArticleBMJ open ophthalmology2019

Genetic biomarkers in the VEGF pathway predicting response to anti-VEGF therapy in age-related macular degeneration.

Irina Balikova, Laurence Postelmans, Brigitte Pasteels, Pascale Coquelet, Janet Catherine, Azra Efendic, Yoshikatsu Hosoda, Masahiro Miyake, Kenji Yamashiro, ANGEL study group members and 2 more

Open access · goldAbstract read
In one paragraph

Article in BMJ open ophthalmology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
2.0field-weighted citation impact, top 15% 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

8 citing papers in PubMed, 16 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

12 authors at 4 institutions in 2 countries.

Irina BalikovaDepartment of Ophthalmology, Ghent University Hospital, Ghent University, Ghent, Belgium.ORCID 0000-0002-7487-2288
Laurence PostelmansOphthalmology, University Hospital Brugmann, Université Libre de Bruxelles, Brussels, Belgium.
Brigitte PasteelsOphthalmology, University Hospital Brugmann, Université Libre de Bruxelles, Brussels, Belgium.
Pascale CoqueletOphthalmology, University Hospital Brugmann, Université Libre de Bruxelles, Brussels, Belgium.
Janet CatherineOphthalmology, University Hospital Brugmann, Université Libre de Bruxelles, Brussels, Belgium.
Azra EfendicOphthalmology, University Hospital Brugmann, Université Libre de Bruxelles, Brussels, Belgium.
Yoshikatsu HosodaDepartment of Ophthalmology and Visual Sciences, Kyoto University Graduate School of Medicine, Kyoto, Japan.
Masahiro MiyakeDepartment of Ophthalmology and Visual Sciences, Kyoto University Graduate School of Medicine, Kyoto, Japan.
Kenji YamashiroDepartment of Ophthalmology and Visual Sciences, Kyoto University Graduate School of Medicine, Kyoto, Japan.
ANGEL study group members
Bernard ThienpontLaboratory of Translational Genetics, Department of Human Genetics, KU Leuven, Leuven, Belgium.
Diether LambrechtsLaboratory of Translational Genetics, Department of Human Genetics, KU Leuven, Leuven, Belgium.
Université Libre de Bruxelles · BEKyoto University · JPVIB-KU Leuven Center for Cancer Biology · BEKU Leuven · BE

Funding

NCIPC CDC HHS U17 CE002013
6 · The paper itself

Abstract

objectiveAge-related macular degeneration (ARMD) is a leading cause of visual impairment. Intravitreal injections of anti-vascular endothelial growth factor (VEGF) are the standard treatment for wet ARMD. There is however, variability in patient responses, suggesting patient-specific factors influencing drug efficacy. We tested whether single nucleotide polymorphisms (SNPs) in genes encoding VEGF pathway members contribute to therapy response. METHODS AND ANALYSIS: A retrospective cohort of 281 European wet ARMD patients treated with anti-VEGF was genotyped for 138 tagging SNPs in the VEGF pathway. Per patient, we collected best corrected visual acuity at baseline, after three loading injections and at 12 months. We also registered the injection number and changes in retinal morphology after three loading injections (central foveal thickness (CFT), intraretinal cysts and serous neuroepithelium detachment). Changes in CFT after 3 months were our primary outcome measure. Association of SNPs to response was assessed by binomial logistic regression. Replication was attempted by associating visual acuity changes to genotypes in an independent Japanese cohort.

resultsAssociation with treatment response was detected for seven SNPs, including in FLT4 (rs55667289: OR=0.746, 95% CI 0.63 to 0.88, p=0.0005) and KDR (rs7691507: OR=1.056, 95% CI 1.02 to 1.10, p=0.005; and rs2305945: OR=0.963, 95% CI 0.93 to 1.00, p=0.0472). Only association with rs55667289 in FLT4 survived multiple testing correction. This SNP was unavailable for testing in the replication cohort. Of six SNPs tested for replication, one was significant although not after multiple testing correction.

conclusionIdentifying genetic variants that define treatment response can help to develop individualised therapeutic approaches for wet ARMD patients and may point towards new targets in non-responders.

Indexed as

degenerationgeneticsmacularetinatreatment medical

Identifiers

PMID31909188
PMCPMC6936450
OpenAlexW2995982436

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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.