Abstract 5053: Epstein-Barr virus prevalence in classical Hodgkin lymphoma tumors is explained by histologic subtype, not race/ethnicity in a multiethnic US population
Notice bibliographique
Résumé
Abstract Epstein-Barr virus (EBV) is present in a varying proportion of classical Hodgkin lymphoma (cHL) tumors reportedly associated with age, sex, race/ethnicity and histologic subtype. As part of a study to examine the tumor microenvironment and survival in a multiethnic set of US cHL cases, we examined the distribution of EBV expression in tumor blocks from a subset of 269 of the available cases. We confirmed cHL diagnosis and histological subtype in H&E sections of FFPE tumor blocks of excisions and core biopsies from cases provided by Southern California Kaiser, Winship Cancer Center at Emory University, City of Hope National Medical Center, Grady Memorial Hosiptal, University of California Los Angeles and University of Southern California hospitals diagnosed from 1996-2016. Immunostain results were available for most cases. Tissue microarrays were constructed with two 2 mm cores from each case with 29 cases on each array. EBER was assessed using in situhybridization and scored as negative, positive in HRS cells or positive in the surrounding normal infiltrate. Demographic and clinical information, including the biopsy anatomic site, subtype, race/ethnicity (Hispanic, African American, Asian, non-Hispanic white), age at diagnosis and gender. Multiple logistic regression was conducted to assess the relationship between age, race/ethnicity, gender, subtype and EBV tumor status. Race/ethnicity data was available at this time for 237 cases. Of these, 186 were nodular sclerosis (NS), 53 were mixed cellularity (MC), 8 were lymphocyte depleted (LD), 3 were lymphocyte rich (LR), and 10 were not otherwise specified (NOS). Fifty-seven cases were African American, 48 were non-Hispanic white, 115 were Hispanic, 16 were Asian and one was other race. 106 were female (42%). Age at diagnosis ranged from 5-84 years, with 118 (50%) in the adolescent/young adult (AYA) range (15-35). EBV prevalence in HRS cells by subtype was 0% for LD, 47% for MC, 33% for LR, 23% for NS and 50% for NOS. When restricted to the two most common subtypes, NS and MC, histologic subtype alone was a statistically significant predictor of EBV tumor status (p=.0008) and when adjusting for age, sex, site and race/ethnicity (p=.0011). In NS cases, EBV HRS cell positivity was highest in non-Hispanic whites (31%), followed by Hispanics (23%) and African Americans (18%). Among MC cases, it was very high among African Americans (80%) compared to Hispanics and non-Hispanic whites (33-39%). The patterns were similar when restricted to the AYA age group. 6.5%, 4% and 20% of EBV-negative NS, MC and NOS cases, respectively, had EBV present in non-malignant lymphocytes but not in HRS cells. Histologic subtype was the strongest predictor of EBV HRS cell positivity in this set of multiethnic cHL patients. Unlike previous reports, EBV-positive tumors were not more common among non-whites, except for African American MC cases. Citation Format: Rachel Bolanos, Amie Hwang, Chun Chao, Christopher Flowers, Sheeja Pullarkat, Jose Aparicio, Sophia Wang, Karen Mann, Leon Bernal-Mizrachi, Joo Song, Christian Steidl, Christine Lee, Wendy Cozen, Iran Siddiqi. Epstein-Barr virus prevalence in classical Hodgkin lymphoma tumors is explained by histologic subtype, not race/ethnicity in a multiethnic US population [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2019; 2019 Mar 29-Apr 3; Atlanta, GA. Philadelphia (PA): AACR; Cancer Res 2019;79(13 Suppl):Abstract nr 5053.
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 | 0,000 | 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) | 0,005 | 0,001 |
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 ».