Second primary malignancies (SPM) in patients with gastrointestinal stromal tumors (GIST): 10-year experience from the Ottawa Hospital (TOH).
Notice bibliographique
Résumé
11536 Background: The secondary malignancies in patients with GIST are relatively high. We present our 10-year experience of SPM in patients with GIST from a regional Cancer Centre in Canada. Methods: A retrospective cohort study was performed in all GIST patients treated at TOH between January 2011 and December 2021. Patients were identified using ICD-10 codes and electronic medical records reviewed. Clinicopathological data were analyzed. Logistic regression analysis was used to evaluate associated factors with SPM. Survival analysis was estimated with the use of the Kaplan-Meir method and compared by log-rank test. Results: In total, 248 patients with GIST were identified. Of these patients, 61 (25%) had SPM; synchronous (9, 15%) and metachronous (52, 85%). Nine patients had two additional primary cancers other than GIST, and four patients had three additional primary cancers. The median age at diagnosis was 70 (range 44 – 90) years, and males were (59%). The most common SPMs were skin cancer (14, 17%), melanoma (5), and non-melanoma (9), followed by prostate cancer (13, 16%) and breast cancer (12, 15%). Colorectal cancer and hematological malignancies were found in (5, 11%) patients each, while RCC was found in (4, 6%). Thyroid cancer, lung cancer, neuroendocrine tumor, bladder cancer, thymoma, and other types of cancers were collectively found in 15 patients (24%). The majority (57%) of SPM diagnosed before GIST, 30% after GIST. The most common primary GIST locations were in the stomach (62%), followed by the small bowel (30%), and the most common histology was spindle cell (69%), followed by mixed histology (13%). The majority of GIST were localized (46 patients, 75%). Based on Miettinen risk classes for non-metastatic GIST, 74% had zero to low-risk disease, while 26% had moderate or high-risk disease. There was no association between SPM and GIST primary site (p = 0.4), TNM stage (p = 0.8), histology (p = 0.2), Mitosis (p = 0.5), and Miettinen risk class (p = 0.6). The median follow-up time was 53 months (range 1 – 132), and four patients lost follow-ups. Five years overall survival of SPM group vs. non SPM, 79.8% vs. 94.1%, (p = 0.03). Cox regression did not reveal a significant association with the covariants Conclusions: We observed that one out of four GIST patients have SPM. Skin, prostate, breast cancers were the most common SPM associated with GIST. Molecular studies are needed to explore the association/underlying mechanisms of GIST with these malignancies.
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 | 0,001 | 0,001 |
| Communication savante | 0,001 | 0,000 |
| Science ouverte | 0,001 | 0,001 |
| Intégrité de la recherche | 0,000 | 0,001 |
| 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 ».