Abstract 5813: Evolution of the tumor immune microenvironment (TIME) in hepatocellular carcinoma (HCC) with liver metastases treated with atezolizumab-bevacizumab (INTEGRATE)
Notice bibliographique
Résumé
Background: HCC is the most common form of primary liver cancer and the 3rd leading cause of cancer death globally. Combination of atezolizumab-bevacizumab (AB) demonstrated an impressive 19-month median survival in 1st line HCC (IMbrave-150) and a HR (0.66) that has not been surpassed by newer combinations and remains an important standard of care with an ORR of 32%. Despite advancements in the treatment of advanced HCC, ∼30% of patients demonstrate no response to therapy. It is theorized that there is a dynamic interplay between the liver TIME and HCC. We performed an exploratory evaluation of the evolution of the TIME in HCC treated prospectively with AB Methods: The study was carried out at Princess Margaret Cancer Centre between July 2021 and June 2024. Patients had a histologically confirmed diagnosis of inoperable HCC, Child’s Pugh Class A and were receiving AB. Biopsies of tumor and normal liver were performed at pre-treatment and at the time of progression. Blood and stool samples were collected at pre-treatment, 3-4 weeks post initiation of therapy and the time of progression. Blood samples were analyzed for cfDNA, alpha-fetoprotein (AFP) and immune cell phenotyping using 30+ marker spectral flow cytometry panels and stool samples were analyzed for microbiome. Results: The analysis included 8 treatment response evaluable patients with paired tumor samples, median age of 63 (46-77) years, 5 patients had hepatitis B/C as a risk factor for HCC, 2 non-alcoholic and 1 alcoholic liver disease. 3 patients had progressive disease at 1st interval CT, with 2 patients had ongoing response after >30 months. Patients with a baseline frequency of circulating cytotoxic CD8+ TEFF cells (effector T cells) above the median value (3.78%) exhibited numerically improved PFS (P=0.0265) compared to those with lower frequencies (median PFS: 12.67 months vs. 2.4 months; HR 0.12, 95% CI: 0.01-1.08). TEFF cells are terminally differentiated (TCF1-CD57+), but not exhausted (PD1lowTIGITlow). Conclusion: A greater knowledge of the TIME and how it changes with therapy is key to understand which patients are likely to respond to immune checkpoint inhibition. Our findings suggest that enrichment of preexisting, circulating cytotoxic CD8+ TEFF cells may be important for mediating treatment responses to immune checkpoint inhibition in HCC patients. Deep immune profiling is being conducted on serial tumor biopsies using combined single-cell TCR sequencing, and transcriptomic and protein expression analysis (CITE-Seq) to characterize tissue-specific immune responses and identify potential virus-specific T cell clones. This analysis will be updated and has the potential to identify mechanistic biomarkers predictive of response or resistance to treatment. Citation Format: Harry Myles Harvey, Stephanie Wong, Selina Melillo, Jehan Vakharia, Simone Stone, Azin Sayad, Ben Wang, Pamela Ohashi, Rachel Garonce-Hediger, Raymond Jang, Robert C. Grant, Eric X. Chen, Jennifer Knox, Adrian Sacher, Leo M. Chan. Evolution of the tumor immune microenvironment (TIME) in hepatocellular carcinoma (HCC) with liver metastases treated with atezolizumab-bevacizumab (INTEGRATE) [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2025; Part 1 (Regular Abstracts); 2025 Apr 25-30; Chicago, IL. Philadelphia (PA): AACR; Cancer Res 2025;85(8_Suppl_1):Abstract nr 5813.
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 | 0,000 | 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 | 0,000 |
| 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 ».