Environmental, Lifestyle Risk Factors and Host Characteristics Associated with Philadelphia Negative Myeloproliferative Neoplasm: A Systematic Review
Notice bibliographique
Résumé
Abstract Introduction: Myeloproliferative Neoplasms (MPNs) are group of clonal hematopoietic stem cell (HSC) disorders characterised by overproduction of myeloid cells and are associated with an acquired genetic mutation of JAK2V617F. The 2008 WHO MPNs classification grouped the related disorders naming them Philadelphia negative MPNs. These included polycythemia vera, essential thrombocythemia, pre-fibrotic myelofibrosis and primary myelofibrosis which are the focus of this review. The etiology of MPNs remains unknown. Epidemiological studies have indicated there are associations between environmental, lifestyle factors and host characteristic with pathogenesis of MPNs. The aim of this review is to summarize all published data investigating smoking, obesity, gender and exposure to benzene as contributing risk factors and establish their association with developing MPNs. Methods: Medline, Embase, Pubmed databases were systematically searched for relevant published articles with date restrictions of March 2003 to March 2020. The published studies using epidemiological study designs i.e. case control, cohort and cross-sectional studies were identified. Scanning of reference lists and the grey literature was also undertaken. Articles written in English language were included. This review followed the Preferred Reporting Items for Systematic Reviews and Meta-analyses (PRISMA) reporting guideline. Manual review of filtered records excluded inappropriate publications. Two investigators evaluated the full text of selected articles independently analysed the content qualitatively using the Newcastle-Ottawa Scale. Results: A total of 23 published articles met the inclusion criteria, reporting data on the impact of smoking and obesity, the effects of exposure to benzene and gender on MPNs pathogenesis. A significant association was found between smoking and development of MPNs explained by the substantial increase in the levels of several proinflammatory mediators and systematic oxidative stress causing hyperstimulation of myeloid compartments. The upregulation of JAK-STAT and NF-kB signalling pathway and several transcription factors in patients with MPNs who smokers are have been confirmed. Subsequently, these changes facilitate the clonal expansion of hematopoietic stem cells with JAK2V617F mutations. The literature did not confirm any significant association between obesity and risk of developing MPNs, but it cannot be ruled out as an contributing risk factor. The consequences of obesity have been explained in terms of changes in metabolic, endocrinologic, immunologic, and inflammatory systems which may lead to increase in the cell proliferation, cell mutation rate, dysregulate gene function, disturb DNA repair or induce epigenetic changes favouring the induction of neoplastic transformation. There is some evidence in the literature that in individuals exposed to benzene, there is a stimulation of erythropoietic progenitor cells with cytokine independent growth compared to non-exposed individuals. This spontaneous growth of erythroid progenitor cells is one of the hallmarks of MPNs but evidence to prove this hypothesis is uncertain. No strong association was found between exposure of benzene and MPNs but further investigation on effects of increased levels and duration of exposure will be beneficial. Host characteristics such as gender as contributing factors associated with MPNs has been explored in several studies. Gender has been classified as an independent modifier in JAK2V617F allele burden which influences genotype and clonal expansion resulting into allele burden variability, hence, partly responsible for to the differences in the development of the disease between males and females. Conclusion: The important role of predisposing factors such as environmental, lifestyle risk factors and host characteristic in the pathogenesis of MPNs cannot be eliminated. The significant association between smoking and developing MPNs has been confirmed. Gender can be classified as an independent modifier in JAK2V617F allele burden reflecting on the phenotypic heterogeneity of MPNs. The relationship between obesity and exposure to benzene with MPNs developments has not been established yet. The results from this review proposes a large, well-designed epidemiological research exploring these contributing factors. Figure 1 Figure 1. Disclosures No relevant conflicts of interest to declare.
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 enseignantsNi 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.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,004 | 0,015 |
| Méta-épidémiologie (sens strict) | 0,001 | 0,001 |
| Méta-épidémiologie (sens large) | 0,007 | 0,007 |
| Bibliométrie | 0,009 | 0,013 |
| Études des sciences et des technologies | 0,001 | 0,001 |
| Communication savante | 0,002 | 0,002 |
| Science ouverte | 0,001 | 0,001 |
| Intégrité de la recherche | 0,002 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,005 | 0,000 |
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.
score_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 découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».