Abstract B022: Trends in the Cumulative Incidence of Second Primary Cancers Among Survivors of Early-Onset Cancer in the United States, 1975-2022
Notice bibliographique
Résumé
Abstract Introduction: Survivors of a first primary cancer (FPC) have a higher risk of developing a second primary cancer (SPC) compared to the general population, potentially driven by shared etiologic factors, genetic susceptibility, treatment-related effects, or heightened surveillance and screening. However, this elevated risk has not been well-characterized in the context of the rising incidence rate of adult early-onset cancers. Methods: Using data from 9 cancer registries in the U.S. from 1975 to 2022 in the Surveillance, Epidemiology, and End Results (SEER) Program, we estimated 5-year cumulative incidence of invasive SPC among those diagnosed with invasive FPC and the average annual percent change (AAPC) by age at FPC diagnosis (18-29, 30-49, 50-59, 60-69, 70-79, 80+), and examined these trends by sex and race/ethnicity. Results: Among FPC survivors, the age-standardized 5-year cumulative incidence of SPC steadily increased from 4.10 [3.90, 4.29]% to 6.54 [6.38, 6.69]% with AAPC of 1.12 [1.03, 1.20]% during the study period. The cumulative incidence increased across all age groups at FPC diagnosis. Among early-onset cancer survivors (i.e., those with FPC diagnosis at age 18-49 years old), female individuals had a higher SPC cumulative incidence than male individuals over the study period. However, the increase over time was steeper among males (e.g., for age 30-49 years old, AAPC: 1.59 [1.20, 1.98]% vs. 0.57 [0.37, 0.78]%), making the cumulative incidences similar in males and females by the end of the study period. Among those with FPC diagnosis at age 30-49 years old, the SPC cumulative incidence increased for all racial/ethnic groups, but the increase was steeper for Hispanic and non-Hispanic (NH) Asian or Pacific Islander (API) individuals compared to NH Black and NH White individuals. Notably, NH API individuals had a higher AAPC at this age group than at older age groups, a pattern unique to this racial/ethnic group. Among those with FPC diagnosis at age 18-29 years old, the trends were inconsistent across racial and ethnic groups, with positive AAPC for NH White individuals (1.93 [1.35, 2.51]%) and negative AAPC for Hispanic individuals (-2.59 [-4.26, -0.89]%). Conclusion: For nearly five decades, the burden of SPC following early-onset cancer has risen steadily across demographic groups. These trends suggest a compounded burden of cancer for more recent generations, who face an elevated risk of both an early-onset first cancer and a subsequent cancer, which may also occur at a young age. Potential drivers of these patterns, including improved survival, harmful treatment effects, and other etiologic factors, should be investigated in future research. Citation Format: Sunyeop Lee, Erica J. Lee Argov, Parisa Tehranifar. Trends in the Cumulative Incidence of Second Primary Cancers Among Survivors of Early-Onset Cancer in the United States, 1975-2022 [abstract]. In: Proceedings of the AACR Special Conference in Cancer Research: The Rise in Early-Onset Cancers—Knowledge Gaps and Research Opportunities; 2025 Dec 10-13; Montreal, QC, Canada. Philadelphia (PA): AACR; Clin Cancer Res 2025;31(23_Suppl):Abstract nr B022.
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 | 0,009 | 0,001 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,001 | 0,000 |
| Bibliométrie | 0,001 | 0,004 |
| Études des sciences et des technologies | 0,000 | 0,002 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,001 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,003 |
| 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 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 ».