Abstract PO-079: The impact of statin use on anti-PD-1 monotherapy for recurrent head and neck squamous cell carcinoma
Notice bibliographique
Résumé
Abstract While anti-PD-1 monoclonal antibody (mAb) therapy has become standard of care for the treatment of recurrent head and neck squamous cell carcinoma (HNSCC), a majority of patients do not benefit from this immunotherapy. Metabolic changes in the tumor microenvironment may contribute to PD-1 resistance by affecting the tumor microenvironment (TME). Using matrix-assisted laser desorption ionization (MALDI) mass-spectrometry imaging (MSI), we examined the metabolic landscape of a syngeneic murine MEER HNSCC model upon anti-PD1 therapy. We validated the findings in a clinical dataset of patients with HNSCC who were treated with anti-PD-1 mAb monotherapy. Using MEER tumors treated with anti-PD-1 therapy or control and MEER PD-1 resistant tumors treated with anti-PD-1 or control antibodies, we investigated the metabolism in the TME. Tumors were harvested from the mice after 10 days of treatment, slow frozen over liquid nitrogen immediately after resection, and sections were cut onto glass slides. The slides were then subjected to MALDI-MSI on a Bruker SolariX XR 12T Hybrid QqFT-ICR mass spectrometer. Discriminant analysis results showed that 2-Lysophosphatidylcholine and many intermediates in the lipid metabolism pathway were significantly enriched in the anti-PD-1 treated parental tumors compared to the untreated group. While analysis of the PD-1-resistant treated versus untreated tumors showed differential enrichment of a wide variety of metabolites involved in multiple metabolic pathways, the results were notable for greater enrichment of cholesterol in the treated PD-1 resistant tumors. This suggested cholesterol metabolism (that can be targeted by statins) may impact response to anti-PD1. Therefore, we assessed prevalence of statin use and its impact on oncologic outcomes in a single-center retrospective cohort of N=48 patients treated with anti-PD-1 mAb monotherapy. In n=28 patients who previously failed platinum therapy, statin use was associated with a significantly reduced overall survival (p=0.0064) and reduced progression free survival (p=0.0142). From within the monotherapy patient cohort, n=23 patients underwent multiplex imaging to characterize the intratumoral immune profile immediately prior to treatment initiation. Interestingly, patients on statin treatment had a lower mean ratio of CD8+ T-cells to T-regs of 1.14, compared to 2.27 in non-statin users, though not statistically significant (p=0.37). The mean neutrophil to lymphocyte ratio (NLR) in patients just prior to treatment with anti-PD-1 mAb monotherapy was significantly lower in patients on statins with a mean NLR of 5.96 compared to 12.54 in patients who were not receiving statins (p=0.047). These findings suggest a more immunosuppressive tumor landscape in patients who are receiving statins at the time of their anti-PD-1 therapy. Further studies using the MEER mouse model are in progress to validate these findings, but preliminary tumor volume results indicate that statin treatment in combination with anti-PD-1 therapy attenuates the mAb therapy’s tumor effect. Citation Format: Chareeni Kurukulasuriya, Abdulkader Yassin-Kassab, William Andrews, Maureen Kane, Greg Delgoffe, Dan Zandberg, Nicole Scheff, R. Alex Harbison, Umamaheswar Duvvuri. The impact of statin use on anti-PD-1 monotherapy for recurrent head and neck squamous cell carcinoma [abstract]. In: Proceedings of the AACR-AHNS Head and Neck Cancer Conference: Innovating through Basic, Clinical, and Translational Research; 2023 Jul 7-8; Montreal, QC, Canada. Philadelphia (PA): AACR; Clin Cancer Res 2023;29(18_Suppl):Abstract nr PO-079.
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 | 0,000 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,001 | 0,000 |
| Bibliométrie | 0,000 | 0,000 |
| 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 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,001 | 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 ».