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Preliminary qualification of a machine learning-based assessment of the tumor immune infiltrate as a predictor of outcome in patients with hepatocellular carcinoma treated with atezolizumab plus bevacizumab

Title: Preliminary qualification of a machine learning-based assessment of the tumor immune infiltrate as a predictor of outcome in patients with hepatocellular carcinoma treated with atezolizumab plus bevacizumab
Authors: Scheiner B.; Lombardi P.; D'Alessio A.; Kim G.; Tafavvoghi M.; Petrenko O.; Goldin R. D.; Fulgenzi C. A. M.; Torkpour A.; Balcar L.; Mauri F. A.; Pomej K.; Himmelsbach V.; Barsch M.; Celsa C.; Cabibbo G.; Cheon J.; Krall A.; Hucke F.; Di Tommaso L.; Bernasconi M.; Rimassa L.; Samson A.; Stefanini B.; Mozayani B.; Trauner M.; Lackner C.; Stauber R.; Vasuri F.; Piscaglia F.; Bengsch B.; Finkelmeier F.; Peck-Radosavljevic M.; Rasmussen Busund L. -T.; Marafioti T.; Rahbari M.; Heikenwalder M.; Pinter M.; Chon H. J.; Rakaee M.; Pinato D. J.
Contributors: Scheiner, B.; Lombardi, P.; D'Alessio, A.; Kim, G.; Tafavvoghi, M.; Petrenko, O.; Goldin, R. D.; Fulgenzi, C. A. M.; Torkpour, A.; Balcar, L.; Mauri, F. A.; Pomej, K.; Himmelsbach, V.; Barsch, M.; Celsa, C.; Cabibbo, G.; Cheon, J.; Krall, A.; Hucke, F.; Di Tommaso, L.; Bernasconi, M.; Rimassa, L.; Samson, A.; Stefanini, B.; Mozayani, B.; Trauner, M.; Lackner, C.; Stauber, R.; Vasuri, F.; Piscaglia, F.; Bengsch, B.; Finkelmeier, F.; Peck-Radosavljevic, M.; Rasmussen Busund, L. -T.; Marafioti, T.; Rahbari, M.; Heikenwalder, M.; Pinter, M.; Chon, H. J.; Rakaee, M.; Pinato, D. J.
Publication Year: 2025
Collection: IRIS Università degli Studi di Bologna (CRIS - Current Research Information System)
Subject Terms: Biomarker; Hepatocellular Carcinoma; Immunotherapy; Tumor infiltrating lymphocyte - TIL
Description: Spontaneously immunogenic hepatocellular carcinoma (HCC), identified by a dense immune cell infiltrate (ICI), responds better to immunotherapy, although no validated biomarker exists to identify these cases. We used machine learning (ML) to quantify ICI from standard H&E-stained tissue and evaluated its correlation with characteristics of the tumor microenvironment (TME) and clinical outcome from atezolizumab plus bevacizumab (A+B). We therefore employed a supervised ML algorithm on 102 pretreatment H&E slides collected from patients treated with A+B. We quantified tumor, stroma and immune cell counts/mm2 and dichotomized patients into ICI high and ICI low for clinicopathologic analysis. We correlated ICI signature with characteristics of the T-cell infiltrate (CD4+, FOXP3+, CD8+, PD1+) using multiplex immunohistochemistry in 62 resected specimens and evaluated gene expression profiles by bulk RNA sequencing in 44 samples. All patients treated with A+B were Child-Pugh A and received first-line A+B treatment for Barcelona Clinic Liver Cancer Stage C HCC (n=77, 75.5%) on a background of viral (n=53, 52%) and non-viral (n=49, 48%) liver disease. Median ICI density was 429.9 (IQR: 194.6–666.7) cells/mm2. Two-thirds of patients (n=67, 65.7%) had ICI counts≥236/mm2, derived as the optimal prognostic cut-off (ICI-high). Baseline characteristics, including disease etiology, liver function, performance status, stage, prior therapy and alpha-fetoprotein (AFP) levels, were comparable between ICI-high versus ICI-low patients. Patients with ICI-high demonstrated a significantly longer overall survival (OS) compared with ICI-low: 20.9 (95% CI: 13.8 to 27.9) versus 15.3 (95% CI: 6.0 to 24.6 months, p=0.026). Multivariable analyses demonstrated ICI-low status to remain as an independent prognostic parameter (adjusted HR (aHR): 2.02, 95%CI: 1.03 to 3.96) alongside AFP concentration (per 100ng/mL: aHR 1.00, 95%CI: 1.00 to 1.00). ICI-high tumors were characterized by STC1 underexpression and enrichment in proinflammatory ...
Document Type: article in journal/newspaper
File Description: ELETTRONICO
Language: English
Relation: info:eu-repo/semantics/altIdentifier/pmid/41052886; info:eu-repo/semantics/altIdentifier/wos/WOS:001587245500001; volume:13; issue:10; firstpage:1; lastpage:10; numberofpages:10; journal:JOURNAL FOR IMMUNOTHERAPY OF CANCER; https://hdl.handle.net/11585/1027199; https://jitc.bmj.com/content/13/10/e010975
DOI: 10.1136/jitc-2024-010975
Availability: https://hdl.handle.net/11585/1027199; https://doi.org/10.1136/jitc-2024-010975; https://jitc.bmj.com/content/13/10/e010975
Rights: info:eu-repo/semantics/openAccess ; license:Licenza per Accesso Aperto. Creative Commons Attribuzione - Non commerciale (CCBYNC) ; license uri:iris.PUB18
Accession Number: edsbas.C3BA3EF9
Database: BASE