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Enregistrement W4405049461 · doi:10.1182/blood-2024-202565

Inflammation in Myeloproliferative Philadelphia Chromosome Negative Neoplasms - Relationship with Biomarkers of Disease Activity

2024· article· en· W4405049461 sur OpenAlexaffabout
Shreyash Dalmia, Christopher Hillis, Michael Chong, Aurélien Delluc, Caroline Hamm, Sarah Karampatos, Peter A. Kavsak, Miriam Kimpton, Maha Mushtaha, Deborah Siegal, Darryl P. Leong

Notice bibliographique

RevueBlood · 2024
Typearticle
Langueen
DomaineMedicine
ThématiqueChronic Myeloid Leukemia Treatments
Établissements canadiensWindsor Regional HospitalOttawa HospitalUniversity of OttawaJuravinski Cancer CentrePopulation Health Research InstituteMcMaster University
Organismes subventionnairesnon disponible
Mots-clésInflammationDiseasePhiladelphia chromosomeMedicinePolycythemia veraInternal medicineImmunologyPathologyOncologyGeneticsBiologyChromosomal translocation

Résumé

récupéré en direct d'OpenAlex

Introduction Myeloproliferative neoplasms (MPN) are characterized by activating somatic mutations, most commonly in the Janus kinase 2 (JAK2) gene, and are associated with increased risk of thrombosis. Inflammation, measured by biomarkers such as high sensitivity C-reactive protein (hs-CRP), may be seen in patients with MPN (Barbui et. al. Haematologica 2011). Inflammation has also been associated with cardiovascular events. In ambulatory patients with cancer, elevated cardiac troponin levels may indicate a higher risk of major adverse cardiovascular events (Kavsak et. al. JACC CardioOncology 2024). The relationship between the genetic characteristics of MPN and biochemical phenotype - specifically, markers of inflammation and cardiovascular risk - has not been well established. Objectives This study evaluated associations between JAK2 V617F variant allele frequency (VAF) and the presence of additional somatic mutations, with biomarkers of inflammation (hs-CRP) and biomarkers of cardiovascular risk including high sensitivity troponin T (hs-TnT), D-Dimer, amino-terminal pro-brain natriuretic peptide (NT-proBNP), in patients with MPN. Methods A cross-sectional study of adult patients with a diagnosis of Philadelphia chromosome negative MPN (based on 2016 World Health Organization or British Committee for Standards criteria) was conducted across three Canadian centres. Participants were prospectively enrolled from clinical lists or databases. Patient characteristics were documented. Peripheral blood study samples were collected and processed for hs-CRP, hs-TnT, NT-proBNP, D-Dimer, and JAK2 V617F VAF. A custom targeted gene sequencing panel was employed for detection of other somatic mutations and their corresponding allele frequencies, with a lower bound detection limit of 2%. Log transformation of biomarker data was conducted due to skewed distributions. Target recruitment was 100 patients. Results A total of 109 patients were recruited, of whom 62% were female. 57 patients had a diagnosis of polycythemia vera (PV), 38 patients had essential thrombocythemia (ET), and 14 had primary myelofibrosis. Mean ± standard deviation (SD) for age was 67 ± 14 years. A history of cardiovascular disease was identified in 28% of patients. JAK2 V617F (n=80) was present in 89% of PV, 58% of ET, and 50% of primary myelofibrosis cases. Somatic mutations were characterized with one mutation in 42% of patients, two in 36%, and three in 6%. 17% of patients had no recognized mutation. A sample size of 109 has 86% power to detect an R2 value of 0.08 or greater. There was no clear association between JAK2 V617F VAF and age, relative to mean cohort age (mean ± SD VAF 0.31 ± 0.30 in older patients versus 0.26 ± 0.27 in younger patients, p=0.40), nor with a history of cardiovascular disease (mean ± SD VAF 0.29 ± 0.28 with a history versus 0.28 ± 0.31 in those without, p=0.87). There was also no relationship between JAK2 V617F VAF and hs-CRP, hs-TnT, D-Dimer, or NT-proBNP concentrations. There was a trend towards higher hs-TnT levels in patients with more than one somatic mutation, compared to patients with one mutation or less (mean ± SD hs-TnT 13 ± 13ng/L versus 10 ± 7ng/L, p=0.053). These patients were also older (mean ± SD age 71 ± 9 years versus 64 ± 16 years, p=0.007). 20% of patients (n=21) were on ruxolitinib at the time of the study. Findings were consistent after excluding these participants. Conclusions Our study demonstrates no association between JAK2 V617 VAF and biomarker parameters in patients with MPN. Inflammation and cardiovascular risk in MPN may be mediated by factors beyond VAF alone. More research is needed to understand the mechanisms of increased thrombotic risk seen in patients with MPN. Additional considerations that may have influenced study findings include frequency of homozygous JAK2 V617F variants (> 50% VAF), and participant disease subtype at time of study enrolment, notably prevalence of myelofibrosis (13%, n=14). There was a trend toward higher hs-TnT levels in patients with multiple somatic mutations, as well as with advanced age. This supports the hypothesis that multiple somatic mutations comprise a biomarker phenotype associated with adverse cardiovascular outcomes in patients with MPN.

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)0,001
score de la tête « metaresearch » (Gemma)0,001
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 enseignants0,016
Score d'incertitude au seuil0,032

Scores du classifieur distillé par catégorie (deux têtes)

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

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 Opus0,016
Tête enseignante GPT0,265
Écart entre enseignants0,248 · 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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