Abstract A027 Investigations on association of month of birth and seasonality with chromosomal abnormalities of prognostic significance and disease incidences in pediatric acute lymphoblastic leukemia in Saudi Arabia
Notice bibliographique
Résumé
Abstract Introduction: Acute lymphoblastic leukemia (ALL) is the most common childhood cancer. It is associated with many environmental factors. The correlation between month of birth, seasonality, genetic abnormalities and ALL has been studied with conflicting results and this issue remains controversial. The principal aim of this study was to assess the association of ALL and month/season of birth and its association. with cytogenetic abnormalities. Methods This was a retrospective cohort study that took place at Department of pediatric hematology, King Abdulaziz Medical City, Riyadh, Saudi Arabia. Inclusion criteria was any patient diagnosed with ALL until the age of 14 years. Patients with a family history of ALL were excluded. Data was retrived from electronic medical records and analyzed using SPSS version 27. Results: A total of 192 patients were analyzed. More than half (60.9%) of the patients were male. With regard to ALL’s subtype, B-cell was found in 84.9% of the patients. In addition, B-ALL was the highest incidence in both genders accounting for 82.05% and 89.3% in males and females, respectively. January was the month with the highest incidence of ALL (12%), while February and September were the lowest (6.3%). Season-wise, spring season had the highest number of ALL patients (26.6%), and Summer had the lowest incidence (24%). We found trisomy of chromosome 12 in patients with ALL is significantly higher in 1-3 years age group (P-value= 0.039). Patients who had trisomy of chromosome 12 accounted for 13.7% in 1-3 age group compared to 3.8% in 7-14, 1.5% in 3-7, and none in up to 1 year of age. Moreover, AML gene abnormality in ALL patients was also found to be significantly associated with age group, where it was found that majority of patients were aged from 3-7 years (27.7%) (P-value= 0.014). the lowest was in 1-3 age group accounting for 7.8%. TCRgamma mutation was also found to be significantly increased (14.3%) in ALL patients aged up to 1 year (P-value= 0.025), and only 2% in 1-3 age group. Furthermore, we divided them into seasons (summer, winter, autumn, and spring) and their chromosomal abnormalities. Autumn was found to have a significant increase (31.9%) in trisomy 17 (P-value= 0.004). Furthermore, in winter, spring, and summer, it accounted for 8.30%, 9.80%, and 13.00%, respectively. We also noted an increase in trisomy 21 in Spring season in 23.5% of the patients (P-value= 0.039). in winter, summer, and autumn, it was 4.20%, 23.50%, 10.90%, 14.90%, respectively. Lastly, tetrasomy of chromosome 21 had a significant increase in Autumn season (23.4%) (P-value= 0.032) compared to 10.40% in winter, 9.80% in spring, and 4.30% in autumn. Conclusion: We found that age at the time of diagnosis was significantly associated with the season of birth. We conclude that prognostically important genetic abnormalities have a significant association with seasonality and age groups in pediatric ALL patients. Further studies in this regard can help understand important bearing of seasonality on biology and genetics of pediatric ALL. Citation Format: Khalid Aljamaan, Sarah AlMukhaylid, Zafar Iqbal. Investigations on association of month of birth and seasonality with chromosomal abnormalities of prognostic significance and disease incidences in pediatric acute lymphoblastic leukemia in Saudi Arabia [abstract]. In: Proceedings of the AACR Special Conference in Cancer Research: Advances in Pediatric Cancer Research; 2024 Sep 5-8; Toronto, Ontario, Canada. Philadelphia (PA): AACR; Cancer Res 2024;84(17 Suppl):Abstract nr A027.
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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 | 0,000 | 0,001 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,001 | 0,001 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,002 | 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 ».