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Record W4415450335 · doi:10.1210/jendso/bvaf149.1656

SUN-071 Long-term Safety and Effectiveness of Osilodrostat in Patients with Cushing’s Disease in the LINC Rollover Study

2025· article· en· W4415450335 on OpenAlexaff
Richard J. Auchus, Przemysław Witek, Marie Adela Bex, Yerong Yu, Zhanna Belaya, André Lacroix, Carla Scaroni, Yoon-a Hwang, Pınar Kadıoğlu, Andrea Piacentini, Arnd Mueller, Rosario Pivonello

Bibliographic record

VenueJournal of the Endocrine Society · 2025
Typearticle
Languageen
FieldMedicine
TopicPituitary Gland Disorders and Treatments
Canadian institutionsCentre Hospitalier de l’Université de Montréal
FundersIpsenNovo NordiskH. Lundbeck A/SRecordati Rare DiseasesNeurocrine BiosciencesPfizer
KeywordsPersonal carePersonal accountPersonal protective equipmentPersonal lifeRollover (web design)Personal injury

Abstract

fetched live from OpenAlex

Abstract Disclosure: R.J. Auchus: Corcept Therapeutics, received grants and personal fees, Crinetics Pharmaceuticals, received grants and personal fees, Diurnal Ltd, received grants and personal fees, Neurocrine Biosciences, received grants and personal fees, Sparrow Pharmaceuticals, received grants and personal fees, Spruce Biosciences, received grants and personal fees, Recordati Rare Diseases, received grants and personal fees, Xeris Pharmaceuticals, received grants and personal fees, Adrenas Therapeutics, received personal fees, Besins Pharmaceuticals, received personal fees, H Lundbeck A/S, received personal fees, Novo Nordisk, received personal fees, Quest Diagnostics, received personal fees. P. Witek: Berlin Chemie, received travel grants and speaker fees, Ipsen, received travel grants and speaker fees, Merck-Serono, received travel grants and speaker fees, Novartis, received travel grants and speaker fees, Novo Nordisk, received travel grants and speaker fees, Recordati Rare Diseases, received travel grants and speaker fees, Strongbridge Biopharma, received travel grants and speaker fees. M.A. Bex: Recordati Rare Diseases, consultancy and received travel grants. Y. Yu: None. Z. Belaya: None. A. Lacroix: Corcept Therapeutics, received grants and personal consulting fees, Novartis, received grants and personal consulting fees, Pfizer, received grants and personal consulting fees, Recordati Rare Diseases, received grants and personal consulting fees. C.M. Scaroni: HRA, received occasional consulting honoraria, Novartis, received occasional consulting honoraria, Pfizer, received occasional consulting honoraria, Recordati Rare Diseases, received occasional consulting honoraria, Sandoz, received occasional consulting honoraria. Y. Hwang: None. P. Kadioglu: None. A. Piacentini: Recordati, employee. A. Mueller: Recordati, employee. R. Pivonello: Corcept Therapeutics, received research funding and served as a consultant, Neurocrine Biosciences, received research funding, Recordati Rare Diseases, received research funding and served as a consultant, Spruce Bioscience, received research funding, Xeris Pharmaceuticals (Strongbridge Biopharma), received research funding, Crinetics Pharmaceuticals, served as a consultant, H Lundbeck A/S, served as a consultant. Introduction: The LINC clinical trial program demonstrated that osilodrostat is effective and well tolerated in patients with Cushing’s disease (CD); however, lifelong treatment is often required. The open-label, multicenter LINC rollover (NCT03606408) study evaluated long-term osilodrostat safety and effectiveness in patients with CD. Methods: The study was planned to be open for ∼5 years (or until December 31, 2023 in the UK). Participants benefiting from osilodrostat treatment after completing either the LINC 2, LINC 3 or LINC 4 trial extension phases were eligible for inclusion. Participants continued in the rollover until osilodrostat no longer provided (investigator-judged) clinical benefit, became commercially available in their country, or one of the protocol-defined discontinuation criteria was met. Participants attended quarterly visits for safety/clinical benefit assessments. The primary objective was to evaluate long-term safety of osilodrostat treatment, assessed by frequency of adverse events (AEs)/serious AEs (SAEs). Cumulative data are reported from parent study baseline (BL) to rollover end, unless otherwise stated. Results: 127 participants entered the rollover (mean [SD] age: 41.3 years [12.4]; female: 74.8%). Median (min–max) osilodrostat exposure and dose was 5.0 (1.7–8.6) years and 4.9 (1.0–46.0) mg/day. All patients experienced ≥1 AE; 86.6% (n=110) were considered treatment related, most commonly (≥25% of patients) nausea (30.7%, n=39), adrenal insufficiency (AI; 28.3%, n=36) and fatigue (28.3%, n=36). SAEs were reported in 44.9% (n=57) of participants; 8.7% (n=11) were considered treatment related, most commonly AI (4.7%, n=6). AEs related to accumulation of adrenal hormone precursors were reported in 65.4% (n=83), hypocortisolism in 55.9% (n=71), pituitary tumor enlargement in 8.7% (n=11), and arrhythmogenic potential and QT prolongation in 5.5% (n=7). During the rollover, 22.0% (n=28) discontinued osilodrostat; 3.9% (n=5) discontinued because of treatment-related AEs, most commonly AI (n=3). At the end of osilodrostat treatment, 78.0% (n=99) continued to receive clinical benefit. From BL to week (W) 12 of the parent studies, mean urinary free cortisol levels decreased from 561.5 nmol/24 h (4.1 x upper limit of normal [ULN]) to 85.0 nmol/24 h (0.6 x ULN), mean glycated hemoglobin levels decreased from 5.8% to 5.6%, and mean systolic blood pressure decreased from 130.7 mmHg to 123.2 mmHg. These parameters then generally remained within normal range during the study. Body weight generally decreased over time. Potassium and sodium levels remained stable and normal throughout the study. Conclusion: The LINC rollover study complements existing evidence demonstrating that osilodrostat is well tolerated and provides sustained effects in patients with CD during long-term treatment (for up to 8.6 years); no new safety signals were identified. Presentation: Sunday, July 13, 2025

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 score0.016
Threshold uncertainty score0.205

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 head0.004
GPT teacher head0.261
Teacher spread0.257 · 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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Citations0
Published2025
Admission routes1
Has abstractyes

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