Abstract 9: Genetic and oncogenic viruses as risk factors in Egyptian breast cancer patients
Notice bibliographique
Résumé
Abstract Introduction: Breast cancer (BC) is a leading cause of death worldwide. Genetic factors, such as ATM, BRCA1, BRCA2, CHEK2, and PALB2 are detected in 5%-7% of women with breast cancer elevating risk of disease development. The role of environmental factors such as oncogenic viruses remained under investigation. Therefore, we aimed to investigate correlation between variations in some exons of BRCA1, BRCA2, CHEK2, and PALB2 and presence of human papillomavirus (HPV), human mammary tumor virus (HMTV), and Epstein-Barr virus (EBV) DNAs in the blood of BC patients, hoping to understand role of oncogenic viruses in cancer development Methods: Genomic DNA was extracted from 55 fresh tissues and blood samples of BC patients, as well as ten blood samples from healthy women, served as a control using Gene JET Extraction Kit (Thermo Scientific/US, Canada). PCR assay was employed to detect presence of HPV, HMTV and EBV DNAs. Additionally, variations in BRCA1, BRCA2, PALB2, and CHEK2 genes were screened using high resolution melting assays. Results: HPV and HMTV DNAs were detected in the blood of 25.5% and 23.6% BC patients, respectively, with 9% of patients exhibiting co-presence of both viruses. No viral DNAs was detected in the healthy controls. In tumor tissues, HPV DNA, HMTV DNA, and EBV DNA were detected in 47.2%, 27.2%, and 25.5% of BC patients (P=0.012). Regarding genetic analysis, variations were detected in BRCA1 25.5%, BRCA2 43.6%, PALB2 42%, and CHEK2 52.7% genes of the blood of 55 BC patients. Our results demonstrated overlapping between PALB2, CHEK2, and BRCA2 variants in BC patients. Among PALB2 carriers, 30% harbored BRCA2 variants, among CHEK2 carriers, 32% harbored BRCA2 variants. Moreover, 25% of PALB2 carriers and 18% of CHEK2 carriers presented with BRCA1 variants. Additionally, our findings revealed co-occurrence of genetic variations among BC patients. Notably, 45.4% with BRCA2 exon11 variants, exhibited variations in both PALB2 exon 4 and CHEK2 exon 10. Additionally, 43% had variations in BRCA1 exon 6, and in CHEK2 exon 10, 57% had variations in BRCA1 exon 9 and PALB2 exon 4. Results indicated an association between presence of viral DNAs and some genetic variations. Among 26 HPV-positives, 19.2% exhibited variations in exons 11 and 27 of BRCA2, and 50% had variations in PALB2 exon 4. In 15 HMTV-positives, 20% had variations in BRCA2 exon 27, and 66.7% exhibited variations in CHEK2 exon 10. Conclusion: Results suggest a potential association between genetic variations in BRCA1, BRCA2, PALB2, and CHEK2, and presence of oncogenic viruses (HPV, HMTV) in the pathogenesis of BC. Further investigations are required to confirm these observations. Data indicated a correlation between CHEK2, BRCA2, and HMTV, and between PALB2, BRCA1, and HPV. Understanding these associations, especially if present in certain exons may aid in understanding the role of oncogenic viruses and developing new markers for early detection and prognosis of disease. Citation Format: Sarah Mohamed ElSayed, Rania Abdulmonem Al Najar, Nasra Fathy Abdel Fattah, Ayman Abdel-Samie Gaber, Tarek Hashem, Wafaa Khalaf, Ahmed Basyony, Mohamed A. Eltokhy, Sahar Mohamed Radwan, Amany abdullah EL-Sharif, Samah Loutfy. Genetic and oncogenic viruses as risk factors in Egyptian breast cancer patients [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2025; Part 1 (Regular Abstracts); 2025 Apr 25-30; Chicago, IL. Philadelphia (PA): AACR; Cancer Res 2025;85(8_Suppl_1):Abstract nr 9.
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 enseignantsNi 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.
Scores Codex et Gemma par catégorie
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,000 | 0,000 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,000 | 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) | 0,001 | 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 tête enseignante, 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 ».