Abstract B026: Substratification of mismatch repair deficient (MMRd) endometrial cancers can provide prognostic and predictive refinement
Notice bibliographique
Résumé
Abstract Background: Mismatch repair deficient (MMRd) endometrial cancer (EC) represents one third of all ECs. Identifying patients with MMRd EC enables testing for Lynch Syndrome (LS) and access to FDA-approved immune checkpoint blockade (ICB) therapy. Recent data have highlighted the diversity within MMRd tumors, suggesting worse outcomes and lower response to ICB in patients with MLH1 loss. Our aim was to characterize a cohort of MMRd ECs to elucidate if clinically meaningful substratification of this molecular subtype (MLH1 loss vs. other MMRd) could be achieved. Methods: MMRd ECs were identified from retrospective institutional and population-based cohorts (1994-2016) with clinicopathologic data, immunohistochemistry (IHC) assessment of estrogen receptor (ER) and L1CAM and CTNNB1 mutation status recorded. Multiplex IHC for immune markers (CD3, CD8, CD79a, CD138, PD-1, PD-L1, FoxP3, IDO-1) was assessed and compared in patients with MLH1 loss or PMS2/MLH1 loss (when 2 antibody MMRd testing performed) vs. isolated MSH2, MSH6, PMS2 or MSH2/MSH6 loss (remainder of MMRd). Results: 655 MMRd ECs were identified, 52% of cases assessed with 4 antibody IHC (MLH1, PMS2, MSH2, MSH6) and 48% with 2 (PMS2 and MSH6). This included 32 (5%) patients with MLH1 loss and 488 (75%) with PMS2/MLH1 loss (together 80% of MMRd cohort), 1% (n= 9) MSH2, 11% (n=75) MSH6, 4% (n=24) PMS2, and 4% (n=24) with loss of MSH2/MSH6). 76 cases were confirmed to have MLH1 hypermethylation but 67% of cases with loss of MLH1 or PMS2/MLH1 did not have methylation testing performed. The majority MMRd ECs were FIGO stage I (75%) and endometrioid histotype (90%). Patients with loss of MLH1 or PMS2/MLH1 were older (p<0.001), had higher BMI (p<0.001) and had tumors with more LVI (p=0.031), deep myoinvasion (p<0.001) and grade 3 (p=0.046) compared to remainder of MMRd EC. 9% of the MMRd cohort were ER negative, 8% with loss of MLH1 or PMS2/MLH1 and 16% in remainder of MMRd. Inferior outcomes were observed for progression-free survival and overall survival in patients with MLH1 or PMS2/MLH1 loss compared with the remainder of MMRd. ER, L1CAM and CTNNB1 status were not associated with clinical outcomes across the total MMRd cohort, nor within MLH1 or PMS2/MLH1 loss. There was diversity in the immune landscape within MMRd EC with significantly lower CD8 levels in MLH1 or PMS2/MLH1 loss compared to the remainder of MMRd EC. Furthermore, 25% of the MLH1 or PMS2/MLH1 loss group were tumor infiltrating lymphocyte (TIL) ‘low’/immune cold by cluster analysis compared to 11% in the remainder of MMRd EC. Only 16 patients (2.4%) were identified as having LS but 82% of these MMRd patients had not been tested (31% non-LS testing attributable to identification of hypermethylation of MLH1). Conclusion: Substratification within MMRd ECs can provide prognostic and predictive information, with loss of MLH1 and/or its dimer partner PMS2 identifying a subset of MMRd EC with inferior outcomes that may be attributed to lower TIL. ER, L1CAM, and CTNNB1 mutation status do not add prognostic refinement within MMRd EC. Citation Format: Amy Jamieson, Jennifer Pors, Samuel Leung, Derek Chiu, Stefan Kommoss, Aline Talhouk, David G. Huntsman, Naveena Singh, Blake Gilks, Jessica N. McAlpine. Substratification of mismatch repair deficient (MMRd) endometrial cancers can provide prognostic and predictive refinement [abstract]. In: Proceedings of the AACR Special Conference on Endometrial Cancer: Transforming Care through Science; 2023 Nov 16-18; Boston, Massachusetts. Philadelphia (PA): AACR; Clin Cancer Res 2024;30(5_Suppl):Abstract nr B026.
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 | 0,001 | 0,002 |
| 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 | 0,001 | 0,000 |
| Science ouverte | 0,000 | 0,001 |
| Intégrité de la recherche | 0,000 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,003 | 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 ».