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Enregistrement W4405035210 · doi:10.1182/blood-2024-200529

Expanding the Eureka Study: Integrating a Comprehensive Clinical Registry with Molecular Profiling to Advance AL Amyloidosis Research

2024· article· en· W4405035210 sur OpenAlexaffabout
Mario Nuvolone, Ute Hegenbart, Bruno Paiva, Monique C. Minnema, Enkelejda Miho, Marta Lasa, Paolo Milani, Alain van Mil, Marish I.F.J. Oerlemans, Jan Kruta, Ramón Lecumberri Villamediana, Alice Nevone, Luca Arcaini, Francesca Gay, Francesco Di Raimondo, Pellegrino Musto, Eloísa Riva, Mohammed A. Aljama, Krzysztof Jamroziak, Roberta Shcolnik Szor, Mathias Brehon, Giampaolo Merlini, Stefan Schönland, Giovanni Palladini

Notice bibliographique

RevueBlood · 2024
Typearticle
Langueen
DomaineBiochemistry, Genetics and Molecular Biology
ThématiqueAmyloidosis: Diagnosis, Treatment, Outcomes
Établissements canadiensMcMaster University
Organismes subventionnairesnon disponible
Mots-clésProfiling (computer programming)MedicineAmyloidosisInternal medicineComputer science

Résumé

récupéré en direct d'OpenAlex

Introduction Immunoglobulin light chain (AL) amyloidosis is driven by patient-specific, aggregation-prone, toxic immunoglobulin light chains, leading to extracellular amyloid deposits in target organs, and potentially fatal organ dysfunction. Amyloidogenic light chains are produced by otherwise indolent plasma cell clones. Current AL therapies focus on anti-plasma cell drugs to reduce light chain production, improve organ function, and extend survival. Existing staging and hematologic and organ response criteria are derived from retrospective studies with limitations such as sample size, patient selection biases, and lack of molecular data. Additionally, validated hematologic progression criteria are still lacking. Methods The EUREKA Consortium (NCT06205953), funded by the European Joint Program for Rare Diseases, has initiated a large prospective registry collecting data on all newly diagnosed, therapy-naïve, consecutive cases of systemic AL amyloidosis from 4 primary referral centers across Europe (Pavia, Italy; Heidelberg, Germany; Utrecht, The Netherlands; Pamplona, Spain) and their collaborating sites through the Italian Amyloidosis Network, the Netherland Cancer Registry and the Spanish Myeloma Group. This registry is REDCap-based and linked to a cross-border biobank for molecular and phenotypic profiling of clonal plasma cells and light chains. The biobank facilitates advanced molecular profiling, including RNA sequencing and low-pass whole genome sequencing on sorted bone marrow-derived tumor plasma cells, circulating tumor cell analysis, and clonal light chain profiling through sequencing, N-glycosylation analysis, and toxicity studies using a 3D heart-on-a-chip model. Additionally, a 5th site (Muttenz, Switzerland) focuses on big data analyses and artificial intelligence applications in health. We plan to enroll 2 distinct patient cohorts: Registry & Biobank Cohort: 400 patients enrolled at the core centers, with both prospective clinical data, advanced molecular profiling and banked biospecimens;Registry-Only Cohort: patients enrolled at both the core centers and additional collaborating centers, with prospective clinical data. By integrating a clinical registry with advanced molecular profiling and a clinically-annotated biorepository, the EUREKA study aims to: Define the impact of molecular profiling on disease phenotype, promoting early diagnosis, patient stratification, and guiding therapeutic decisions.Describe real-world disease presentation, including patients often excluded from clinical trials, and analyze treatment access and outcomes, including quality of life.Assess the role of standard and novel tools for evaluating minimal residual disease, including next-generation flow cytometry, next-generation sequencing and mass spectrometry. Results Enrollment started in January 2024, and by July 2024, 55 patients had been recruited for the Registry & Biobank cohort. Additionally, 80 patients have been enrolled in the Registry-Only Cohort. The Consortium invites additional centers worldwide to join the EUREKA study by contributing data to the clinical registry. Participating centers will benefit from access to a centralized data platform, and collaborative research opportunities. In the first few months from the activation of the clinical registry, 8 centers from 5 Countries across South America, Canada and Europe have already joined or are about to join the Consortium. These also include centers of the ProDigALIty Consortium (NCT06383143), a clinical trial funded by the Italian Ministry of Health aimed at promoting the diagnosis and management of AL amyloidosis in Italy. The registry-only cohort with prospective data from both the core centers and the collaborating centers will expand the dataset, enhancing statistical power, patients' diversity and generalizability of findings. Conclusion: The EUREKA study's innovative integration of a clinical registry with advanced molecular profiling positions it as a cornerstone of AL amyloidosis research. By expanding our network of collaborating centers, we aim to build a robust, diverse dataset that will advance early diagnosis, personalized patient management, and the design of future clinical trials. We look forward to welcoming new partners in this collaborative effort to foster biomedical research on AL amyloidosis and improve patient outcomes.

Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.

Comment cette classification a été obtenuedéplier

Prédiction machine sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.

score de la tête « metaresearch » (Codex)0,037
score de la tête « metaresearch » (Gemma)0,032
Version: metacan-v3-hybrid-931329e0061cStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Observationnel · Signal consensuel: Observationnel
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,037
Score d'incertitude au seuil0,195

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0370,032
Méta-épidémiologie (sens strict)0,0010,000
Méta-épidémiologie (sens large)0,0010,001
Bibliométrie0,0050,007
Études des sciences et des technologies0,0000,000
Communication savante0,0040,004
Science ouverte0,0020,005
Intégrité de la recherche0,0010,001
Charge utile insuffisante (le modèle a refusé de juger)0,0050,002

Scores machine (provisoires)

Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.

Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.

Tête enseignante Opus0,046
Tête enseignante GPT0,408
Écart entre enseignants0,362 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.

Les modèles n’ont appliqué aucune catégorie : rien dans la taxonomie ne correspondait à ce travail.
Devis d'étudeObservationnel
Domainenon disponible
GenreEmpirique

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations0
Publié2024
Routes d'admission2
Résumé présentoui

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