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Enregistrement W3216683318 · doi:10.1182/blood-2021-154405

Von Willebrand Factor Expression in Endothelium in a Co-Culturing System of Acute Lymphoblastic Leukemia

2021· article· en· W3216683318 sur OpenAlexaff
Paul T. M. Tieu, Ivan Stevic, Davide Matino, Anthony K.C. Chan

Notice bibliographique

RevueBlood · 2021
Typearticle
Langueen
DomaineMedicine
ThématiqueClinical Laboratory Practices and Quality Control
Établissements canadiensWestern UniversityLondon Health Sciences CentreMcMaster UniversityThrombosis and Atherosclerosis Research Institute
Organismes subventionnairesnon disponible
Mots-clésVon Willebrand factorMedicineUmbilical veinAcute leukemiaPlateletLymphoblastEndotheliumImmunologyLeukemiaCancerAcute lymphocytic leukemiaThrombosisCell cultureAndrologyCancer researchLymphoblastic LeukemiaInternal medicineBiologyIn vitroBiochemistry

Résumé

récupéré en direct d'OpenAlex

Abstract Background: Acute lymphoblastic leukemia (ALL) is the most common cause of cancer and death from cancer among children, with an incidence of 1 in 1,750 children. A previous Dutch cohort study highlighted that 7.6% of children with ALL also developed venous thromboembolism (VTE; n=55/778). VTE increases the risk of morbidity and mortality in cancer patients. However, the mechanisms of hemostatic abnormality in ALL is not well understood. Von Willebrand factor (vWF) is involved in thrombosis and is a well-established marker for endothelial dysfunction. High vWF levels and qualitative abnormality of the protein have been documented in patients with ALL and may contribute to the prothrombotic state observed in these patients. Objective: To determine whether co-culturing cancerous ALL cells with healthy human umbilical vein endothelial cells (HUVECs) may increase vWF secretion from endothelial cells. Methods: HUVECs were obtained from Lonza Bioscience Solutions (Basel, Switzerland) and leukemic B-lymphoblasts (ALL cells) derived from bone marrow were obtained from ATCC (Manassas, Virginia, USA). Passages 3 to 5 were used in this study and cell lines were grown as per manufacturer's instruction. A confluent monolayer of HUVECs was established before the co-culturing experiments. Firstly, ALL cells and HUVECs were grown together (co-cultured) at a 1:1 ratio. Then, the conditioned media and cell lysates were harvested at three different time points and the vWF levels were quantitated by a vWF-ELISA. To further evaluate the effect of leukemic cells on the endothelium, ALL cells were also co-cultured at a 10:1 ratio to endothelial cells. All experiments were conducted in biological triplicates. Results: Cells were monitored throughout the study period and no morphological changes to the endothelial cells were observed. An accumulation of vWF was recorded over time in both the conditioned media and cell lysates. The differences in vWF levels between the co-culture group and HUVEC-only group at three time points (24, 48 and 72 hours) were not statistically significant. In addition, 10-fold differences in ratio between leukemic and endothelial cells did not have a meaningful effect on vWF levels. Discussions: In an in vitro co-culture system, ALL cells do not appear to induce an increase vWF secretion in HUVECs. Contrary to prior evidence, this study suggests that increased vWF secretion from endothelial cells may not be a contributor to the prothrombotic state observed in ALL. The circulating lymphoblasts may have a more pronounced effect on other endothelial layers where vWFs are highly expressed such as the pulmonary endothelium. On the other hand, peripheral blood pediatric leukemic lymphoblasts have been demonstrated to produce hemostatic factors, which may contribute the hemostatic imbalance in the progression of disease. In addition, the pathogenesis of thrombosis in ALL is likely to be therapeutically related since thrombosis rarely occurs at presentation. Alternative mechanisms, such as ADAMST13 and hemostatic factors' level and function or the use of chemotherapeutic agents, ought to be explored. Figure 1 Figure 1. Disclosures Matino: Bayer: Membership on an entity's Board of Directors or advisory committees, Other: research grants and personal fees; Pfizer: Membership on an entity's Board of Directors or advisory committees, Other: research grants and personal fees; Novo Nordisk: Membership on an entity's Board of Directors or advisory committees, Other: research grants and personal fees; Sanofi: Membership on an entity's Board of Directors or advisory committees, Other: research grants and personal fees; Spark: Other: research grants; Octopharma: Membership on an entity's Board of Directors or advisory committees, Other: research grants and personal fees; Sobi: Membership on an entity's Board of Directors or advisory committees, Other: personal fees.

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 distillée sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.

score de la tête « metaresearch » (Codex)0,000
score de la tête « metaresearch » (Gemma)0,001
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Expérimental (laboratoire) · Signal consensuel: Expérimental (laboratoire)
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,062
Score d'incertitude au seuil0,368

Scores Codex et Gemma par catégorie

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

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 Opus0,022
Tête enseignante GPT0,312
Écart entre enseignants0,290 · 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 tête enseignante, pas un consensus.

Les modèles n’ont appliqué aucune catégorie : rien dans la taxonomie ne correspondait à ce travail.
Devis d'étudeExpérimental (laboratoire)
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
Publié2021
Routes d'admission1
Résumé présentoui

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