Abstract B004: The Cleveland Clinic’s Young-Onset Colorectal Cancer Center and Registry: Integrating multidisciplinary clinical care and research infrastructure
Notice bibliographique
Résumé
Abstract Incidence and mortality rates of young-onset colorectal cancer (YOCRC) have risen over the past three decades, compared to a decline in those over 50. YOCRC patients are often diagnosed at more advanced stages and require more aggressive treatment than their older counterparts. To address this alarming trend, the Cleveland Clinic established The Edward J. DeBartolo Jr. Family Center for Young-Onset Colorectal Cancer in 2021, along with a registry to facilitate research. Eligible participants include Cleveland Clinic patients with a current or past history of colorectal adenocarcinoma diagnosed at >18 and <50 years, along with healthy controls <50 years undergoing diagnostic colonoscopy for symptoms or screening colonoscopy (45-49) with findings negative for neoplasia and without a personal history of polyps, familial cancer syndrome, inflammatory bowel disease, or previous cancer diagnosis. YOCRC patients are approached by a research coordinator during a surgical or oncology visit. Controls are approached either in clinic or virtually ahead of a colonoscopy procedure. Consented participants complete an epidemiologic survey, authorize medical record access, and donate biospecimens (cases: blood, tumor and normal tissue, and stool; controls: blood and normal tissue biopsies). A REDCap database houses demographic and clinical details (e.g., staging, treatment, multidisciplinary resource participation) as well as survey data on diet, physical activity, smoking, quality of life, past medical history, medications, and psychological well-being. To date, the YOCRC Registry has enrolled 593 participants (585 YOCRC cases and 8 controls). For cases, median age at diagnosis was 42.1 years (standard deviation (SD):6.0; range:20.8-49.9), and there were 25 individuals (4.3%) 18-29, 159 (27.2%) 30-39, 170 (29.1%) 40-44, and 231 (39.5%) 45-49 years. The majority were male (56.1%) and reported White race (86.1%; 6.2% Black) and non-Hispanic ethnicity (92.3%). The site distribution was 52.5% colon, 47.7% rectum, and 1.2% appendix. The pathologic stage for resected colon cancer cases was 30 (7.1%) I, 40 (9.5%) II, 91 (21.7%) III, 64 (15.2%) IV, and 195 (46.5%) indeterminate or missing. The clinical stage at diagnosis for rectal cancer cases was 9.0% I, 16.2% II, 49.3% III, and 25.5% IV. The mismatch repair (MMR) status breakdown was 91.5% MMR-proficient, 5.0% MMR-deficient, and 3.5% missing. Multi-gene panel testing was conducted on 77.8%, and 10.7% were diagnosed with a familial cancer syndrome. Control recruitment is rapidly expanding, with mean age of 31.1 years (SD:15.4; range: 20.1-49.4), and 52.5% female, 50% White, and 75% non-Hispanic. The survey response rate to date is 22.1%. Our developing biorepository houses 44 blood, 37 tissue , and 19 stool samples from cases and 8 blood and 6 normal tissue samples from controls. This growing resource supports research to improve patient outcomes and develop early detection strategies for YOCRC. It also uniquely enables etiologic research due to inclusion of healthy younger adult controls. Citation Format: Camila Gonzalez, Jacob Mansell, Sarah McClaren, Phuong Hoa, Christopher Benson II, Eric Cockman, Lisa LaGuardia, Margaret O'Malley, Katherine Knapke, Donald Kirby, Jeremy Lipman, Alberto Rubio Tapia, Michelle K. Kim, Shirley Paski, Michael Goldenschluger, Gilad Alon, Leonardo Duraes, Haniee Chung, Scott Steele, Jonathan Mitchem, Suneel D. Kamath, Kanika G. Nair, Smitha Krishnamurthi, Fredrick R. Schumacher, Alok A. Khorana, Stephanie L. Schmit, David Liska. The Cleveland Clinic’s Young-Onset Colorectal Cancer Center and Registry: Integrating multidisciplinary clinical care and research infrastructure [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 B004.
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 | 0,014 | 0,030 |
| Méta-épidémiologie (sens strict) | 0,001 | 0,001 |
| Méta-épidémiologie (sens large) | 0,001 | 0,001 |
| Bibliométrie | 0,007 | 0,008 |
| Études des sciences et des technologies | 0,002 | 0,001 |
| Communication savante | 0,004 | 0,003 |
| Science ouverte | 0,003 | 0,004 |
| Intégrité de la recherche | 0,001 | 0,002 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,034 | 0,014 |
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 ».