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Enregistrement W4389233388 · doi:10.1182/blood-2023-174955

Janus Kinase (JAK) 1 Inhibition Results in Significant Changes in Serum Proteins and Peripheral T-Cell Populations That Correlated with Clinical Scores in Chronic Graft Versus Host Disease (GVHD) Patients (an Analysis from GRAVITAS-309)

2023· article· en· W4389233388 sur OpenAlexaff
Michael A. Pratta, Angelina Volkova, Maureen R. Bleam, Rodica Morariu-Zamfir, Beth Rumberger, Stephen M. Douglass, Susan H. Smith, Valkal Bhatt, John P. Galvin, Annie Im, Sophie Paczesny, Kirk R. Schultz, Steven Z. Pavletic

Notice bibliographique

RevueBlood · 2023
Typearticle
Langueen
DomaineMedicine
ThématiqueHematopoietic Stem Cell Transplantation
Établissements canadiensUniversity of British Columbia
Organismes subventionnairesnon disponible
Mots-clésMedicineCohortInternal medicinePrednisoneGastroenterologyTransplantationPeripheral blood mononuclear cellGraft-versus-host diseaseImmunologyBiology

Résumé

récupéré en direct d'OpenAlex

Background: Chronic GVHD (cGVHD) occurs in 30-70% of allogeneic hematopoietic cell transplantation patients, and the rate has increased over the past 2 decades. Based on the degree of organ involvement, cGVHD is classified as mild, moderate, or severe. Standard treatment includes systemic corticosteroids (CS), together with immunosuppressive agents. GRAVITAS-309 (NCT03584516) was designed as a 2-part, multicenter, randomized trial to assess efficacy and safety of itacitinib, an orally bioavailable, selective JAK1 inhibitor, in combination with CS as first-line treatment for moderate to severe cGVHD. The dose-finding, open-label, randomized portion of the study initially investigated itacitinib at 200 mg once daily (qd) and 300 mg qd in combination with CS (methylprednisolone or prednisone); both doses were well tolerated. The trial was expanded to test itacitinib 400 mg qd and 300 mg twice daily (bid); the initial 300 mg qd cohort was expanded and a CS monotherapy cohort was added. Results from the expanded portion of the study (n=139 patients) showed improved overall response rate (ORR) at 6 months in patients treated with itacitinib + CS vs CS alone (Im, et al. Blood 2022;140[Suppl 1]:1870). Here, we analyzed samples collected from patients in 4 cohorts (cohort A [300 mg qd], cohort B [400 mg qd], cohort C [300 mg bid], and cohort D [CS alone]) for systemic proteins and immune cell populations, to support investigation into the itacitinib mechanism of action and to correlate with clinical outcomes. Methods: Peripheral blood mononuclear cells (PBMCs) and serum were collected before treatment (baseline, day 1), and day 7, day 14 (PBMCs only), and day 28 following treatment initiation. Serum proteins were analyzed using the OLINK Target 96 platform, and circulating T-cell subsets were measured using flow cytometry of PBMCs and presented as a percentage of parent population. Samples were assessed irrespective of patients' response. Most of the patients (70-100% per cohort) with samples available for analysis were responders (achieved complete or partial responses). Results: Serum levels of proteins, including several proposed as potential prognostic cGVHD biomarkers, changed significantly at day 28 relative to baseline following treatment with itacitinib (Table 1). Levels of elafin, a marker of acute GVHD of the skin, were significantly reduced and levels of dickkopf-3 (DKK3), a marker of sclerotic and nonsclerotic cGVHD, were significantly increased in itacitinib cohorts only. Based on a repeated measures correlation analysis, both markers significantly correlated with overall clinical skin scores (elafin: r=+0.43; DKK3: r=-0.53; both P<0.001). Serum levels of other reported markers of cGVHD, including osteopontin, C-X-C motif chemokine ligand (CXCL) 9 and CXCL10, were significantly decreased exclusively in itacitinib-treated cohorts, and not in the CS only cohort. Some proteins, including matrix metalloproteinase (MMP) 3, increased in all cohorts, suggesting that changes in these proteins cannot be attributed to itacitinib alone, but may reflect response to CS; other proteins, such as suppression of tumorigenicity (ST2), remained unchanged in response to treatment in all cohorts. CS treatment alone resulted in an increase in naive CD4 T cells (CD4 +CD8 ->CD45RA +CCR7 -) and a corresponding reduction of CD4 effector memory T cells (CD4 +CD8 ->CD45RA -CCR7 +) within 28 days (Figure 1, cohort D). Changes in naive CD4 T cells following CS monotherapy were significantly attenuated by itacitinib ( P<0.05 vs CS at day 28), particularly at the 400 mg qd dose (Figure 1, cohort B), which demonstrated the best ORR at 6 months (53% with 400 mg qd vs 36% with CS). Conclusions: Analysis of patient samples from GRAVITAS-309 revealed that serum elafin and DKK3 levels significantly correlated with skin GVHD scores, possibly reflecting the systemic origin of observed skin manifestations. Serum levels of osteopontin, CXCL9, and CXCL10 were specifically reduced by itacitinib in patients with cGVHD and may represent potential pharmacodynamic markers. Observed changes in different peripheral T-cell populations in patients' samples following itacitinib treatment were consistent with those reported in murine GVHD models, suggesting a potential role of naive CD4 + T cells in driving this disease. Planned future analyses will include identification of novel biomarkers that correlate with organ involvement.

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)0,002
score de la tête « metaresearch » (Gemma)0,000
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: aucune
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,003
Score d'incertitude au seuil0,009

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0020,000
Méta-épidémiologie (sens strict)0,0010,000
Méta-épidémiologie (sens large)0,0010,001
Bibliométrie0,0000,000
Études des sciences et des technologies0,0000,000
Communication savante0,0000,000
Science ouverte0,0000,000
Intégrité de la recherche0,0000,001
Charge utile insuffisante (le modèle a refusé de juger)0,0030,000

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 Opus0,042
Tête enseignante GPT0,299
Écart entre enseignants0,257 · 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
Publié2023
Routes d'admission1
Résumé présentoui

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