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Record W4310465424 · doi:10.1007/s40123-022-00611-x

Indirect Comparison of Lenadogene Nolparvovec Gene Therapy Versus Natural History in Patients with Leber Hereditary Optic Neuropathy Carrying the m.11778G>A MT-ND4 Mutation

2022· article· en· W4310465424 on OpenAlexaff
Valério Carelli, Nancy J. Newman, Patrick Yu‐Wai‐Man, Valérie Biousse, Mark L. Moster, Prem S. Subramanian, Catherine Vignal, An-Guor Wang, Sean P. Donahue, Bart P. Leroy, Robert C. Sergott, Thomas Klopstock, Alfredo A. Sadun, Gema Rebolleda Fernández, Bart K. Chwalisz, Rudrani Banik, Jean‐François Girmens, Chiara La Morgia, Adam A. DeBusk, Neringa Jurkutė, Claudia Priglinger, Rustum Karanjia, Constant Josse, Julie Salzmann, François Montestruc, Michel J. Roux, Magali Taiel, José‐Alain Sahel, Piero Barboni, Michele Carbonelli, Lidia Di Vito, Giulia Amore, Manuela Contin, Susan Mohamed, Sara Silvestri, Pietro D’Agati, George Baker Hubbard, O’Keefe Ghazala, Andrew Hendrick, Michael Dattilo, Jason H. Peragallo, Eman Hawy, Lindreth DuBois, Deborah Gibbs, Alcides Fernandes Filho, Jannah Dobbs, James Acheson, Hayley Boston, Maria Eleftheriadou, Simona Esposti, Maria Gemenetzi, Lauren Leitch-Devlin, William Tucker, Asma Burale, Shweta Anand, Muhammad Ali Memon, Rima Hussain, Rasha Jorany, Priyansha Sheel, Melissa SantaMaria, Heather Tollis, Julia A. Haller, Maria Massini, Pecen Paula, Mathias Marc, Mary Preston, Steve Cho, Rabih Hage, Lise Plaine, Wahiba Khemliche, Hui‐Chen Cheng, Chen Celia, Jeong‐Min Hwang, Sun Chuanbin, Shriji Patel, Sapna Gangaputra, Megan Barrett, Scott T. Ruark, Wilkins Saige, Julie De Zaeytijd, Caroline Van Cauwenbergh, Hilde Verhauwen, Claudia B. Catarino, Siegfried Priglinger, Günther Rudolph, Stephan Thurau von Livonius Bettina, Daniel Rudolf Muth, Armin Wolf, Jasmina Al-Tamami, Angelika Pressler, Cosima Schertler, Martin Hildebrandt, Michael Neuenhahn, Gad Heilweil, Irena Tsui, Laia Jaumendreu Urquijo, Francisco J. Negrete Muñoz, Elizabeth Fortin, Dean M. Cestari, Katy Tai, L. Castillo, Virginia García, Antonio Morilla Francesco Bandello, Maria Lucia Cascavilla, Marco Battista, Francesca Calcagno, Adelaide Pina, Stéphanie Leruez, Rod Forooza

Bibliographic record

VenueOphthalmology and Therapy · 2022
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicRetinal Development and Disorders
Canadian institutionsUniversity of Ottawa
FundersNational Institute of Neurological Disorders and StrokeNational Eye InstituteNIHR Cambridge Biomedical Research CentreNational Institute for Health Research Biomedical Research Centre at Moorfields Eye Hospital NHS Foundation Trust and UCL Institute of OphthalmologyUCL Institute of Ophthalmology, University College LondonGENSIGHT BIOLOGICS PARISUniversità di BolognaMedical Research CouncilSchool of Medicine, Emory UniversityMoorfields Eye CharitySight Research UKNational Institutes of HealthIsaac Newton TrustMinistero della SaluteBundesministerium für Bildung und ForschungNational Institute for Health and Care ResearchAgence Nationale de la RechercheEmory UniversityUniversity College LondonVlaamse regeringE-RareMoorfields Eye Hospital NHS Foundation TrustUniversiteit GentUniversity of Colorado School of Medicine, Anschutz Medical CampusThomas Jefferson UniversityIcahn School of Medicine at Mount SinaiChiesi FarmaceuticiMassachusetts Eye and EarBijzonder Onderzoeksfonds UGentFight for Sight UK
KeywordsNatural historyOptic neuropathyMedicineVisual acuityLeber's hereditary optic neuropathyGenetic enhancementMutationOphthalmologyGeneInternal medicineOptic nerveGeneticsBiology

Abstract

fetched live from OpenAlex

INTRODUCTION: Lenadogene nolparvovec is a promising novel gene therapy for patients with Leber hereditary optic neuropathy (LHON) carrying the m.11778G>A ND4 mutation (MT-ND4). A previous pooled analysis of phase 3 studies showed an improvement in visual acuity of patients injected with lenadogene nolparvovec compared to natural history. Here, we report updated results by incorporating data from the latest phase 3 trial REFLECT in the pool, increasing the number of treated patients from 76 to 174. METHODS: The visual acuity of 174 MT-ND4-carrying patients with LHON injected in one or both eyes with lenadogene nolparvovec from four pooled phase 3 studies (REVERSE, RESCUE and their long-term extension trial RESTORE; and REFLECT trial) was compared to the spontaneous evolution of an external control group of 208 matched patients from 11 natural history studies. RESULTS: Treated patients showed a clinically relevant and sustained improvement in their visual acuity when compared to natural history. Mean improvement versus natural history was - 0.30 logMAR (+ 15 ETDRS letters equivalent) at last observation (P < 0.01) with a maximal follow-up of 3.9 years after injection. Most treated eyes were on-chart as compared to less than half of natural history eyes at 48 months after vision loss (89.6% versus 48.1%; P < 0.01) and at last observation (76.1% versus 44.4%; P < 0.01). When we adjusted for covariates of interest (gender, age of onset, ethnicity, and duration of follow-up), the estimated mean gain was - 0.43 logMAR (+ 21.5 ETDRS letters equivalent) versus natural history at last observation (P < 0.0001). Treatment effect was consistent across all phase 3 clinical trials. Analyses from REFLECT suggest a larger treatment effect in patients receiving bilateral injection compared to unilateral injection. CONCLUSION: The efficacy of lenadogene nolparvovec in improving visual acuity in MT-ND4 LHON was confirmed in a large cohort of patients, compared to the spontaneous natural history decline. Bilateral injection of gene therapy may offer added benefits over unilateral injection. TRIAL REGISTRATION NUMBERS: NCT02652780 (REVERSE); NCT02652767 (RESCUE); NCT03406104 (RESTORE); NCT03293524 (REFLECT); NCT03295071 (REALITY).

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.056
Threshold uncertainty score0.500

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.017
GPT teacher head0.242
Teacher spread0.224 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

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Citations30
Published2022
Admission routes1
Has abstractyes

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