Interpretable artificial intelligence-driven selection of doublet chemotherapy regimens as second-line treatment in patients with advanced pancreatic cancer.

4171 Background: Guidelines recommend second-line (2L) doublet chemotherapy, NALIRI (liposomal irinotecan + 5-fluoruracil and leucovorin), FOLFIRI or FOLFOX, for patients (pts) with metastatic pancreatic ductal adenocarcinoma (mPDAC) after failure of gemcitabine+Nab-paclitaxel (GemNabP). A head-to-head comparison between doublets has not been performed. We aimed to apply interpretable artificial intelligence (IAI, i.e., AI systems in which the prescription logic can be understood) methods on real-world data to establish which pts should receive NALIRI vs other doublets to maximize the benefit in this setting. Methods: In this observational cohort study, we compared progression-free survival (PFS) of consecutive pts with mPDAC who received 2L doublets after GemNabP failure at 42 Italian centers between 2013 and 2023. The dataset was randomly split into a training set (70%) and a test set (30%). In the former, a counterfactual Cox proportional hazard model, including baseline characteristics to infer the 12-month PFS probability for a given patient under each regimen, was trained. An Optimal Policy Tree (OPT), a state-of-the-art IAI-based method, was used to read the complete reward matrix by training a decision tree with the counterfactual predictions, and OPT recommendations were validated in the test set. The potential gain of the new policy was evaluated by 12-month PFS net-benefit curves. Results: Among 571 eligible pts, 209 (36.6%), 209 (36.6%) and 153 (26.8%) received NALIRI, FOLFOX and FOLFIRI, respectively. Median PFS was similar among the three groups (3.3 months for NALIRI, 3.5 months for FOLFOX and 3.6 months for FOLFIRI), with a long-term benefit observed only in the NALIRI group (12-month PFS 12.0% vs 2.6% for FOLFIRI and 5.2% for FOLFOX). The OPT recommended NALIRI as the preferred regimen for pts with pancreatic head/body cancers, with ECOG PS 0 or with Ca19.9 < 109 U/ml if ECOG PS > 0. The net-benefit curves revealed that the OPT consistently outperformed the uniform strategies of administering either NALIRI or FOLFOX/FOLFIRI to all pts, attaining a 2.5 percentage-point net-benefit at a threshold probability of roughly 9%. Conclusions: Our findings show that 2L NALIRI can offer long-term PFS advantage in a subgroup of mPDAC pts compared with other doublets. The AI-derived policy provides a higher net benefit than treating all pts with NALIRI, avoiding unnecessary clinical and financial toxicity.

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Publication Details

Journal
Journal of Clinical Oncology
Published
2025-05-28
DOI
https://doi.org/10.1200/jco.2025.43.16_suppl.4171
Primary Topic
Pancreatic and Hepatic Oncology Research
Type
article
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article

Interpretable artificial intelligence-driven selection of doublet chemotherapy regimens as second-line treatment in patients with advanced pancreatic cancer.

Andrea Pretta, Ferdinando De Vita, Guido Giordano, Michèle Milella et al.
Journal of Clinical Oncology
Pancreatic and Hepatic Oncology Research
article

Interpretable artificial intelligence-driven selection of doublet chemotherapy regimens as second-line treatment in patients with advanced pancreatic cancer.

Andrea Pretta, Ferdinando De Vita, Guido Giordano, Michèle Milella, Lisa Salvatore, Alberto Zaniboni, Francesca Bergamo, Caterina Vivaldi, Roberto Bianco, Mario Scartozzi, Matteo Landriscina, Davide Melisi, Sara Lonardi, Monica Niger, Letizia Procaccio, Federico Nichetti, Arianna Fumagalli, S. Sperotto, Silvio Ken Garattini, C Arcara
article en

Abstract

4171 Background: Guidelines recommend second-line (2L) doublet chemotherapy, NALIRI (liposomal irinotecan + 5-fluoruracil and leucovorin), FOLFIRI or FOLFOX, for patients (pts) with metastatic pancreatic ductal adenocarcinoma (mPDAC) after failure of gemcitabine+Nab-paclitaxel (GemNabP). A head-to-head comparison between doublets has not been performed. We aimed to apply interpretable artificial intelligence (IAI, i.e., AI systems in which the prescription logic can be understood) methods on real-world data to establish which pts should receive NALIRI vs other doublets to maximize the benefit in this setting. Methods: In this observational cohort study, we compared progression-free survival (PFS) of consecutive pts with mPDAC who received 2L doublets after GemNabP failure at 42 Italian centers between 2013 and 2023. The dataset was randomly split into a training set (70%) and a test set (30%). In the former, a counterfactual Cox proportional hazard model, including baseline characteristics to infer the 12-month PFS probability for a given patient under each regimen, was trained. An Optimal Policy Tree (OPT), a state-of-the-art IAI-based method, was used to read the complete reward matrix by training a decision tree with the counterfactual predictions, and OPT recommendations were validated in the test set. The potential gain of the new policy was evaluated by 12-month PFS net-benefit curves. Results: Among 571 eligible pts, 209 (36.6%), 209 (36.6%) and 153 (26.8%) received NALIRI, FOLFOX and FOLFIRI, respectively. Median PFS was similar among the three groups (3.3 months for NALIRI, 3.5 months for FOLFOX and 3.6 months for FOLFIRI), with a long-term benefit observed only in the NALIRI group (12-month PFS 12.0% vs 2.6% for FOLFIRI and 5.2% for FOLFOX). The OPT recommended NALIRI as the preferred regimen for pts with pancreatic head/body cancers, with ECOG PS 0 or with Ca19.9 < 109 U/ml if ECOG PS > 0. The net-benefit curves revealed that the OPT consistently outperformed the uniform strategies of administering either NALIRI or FOLFOX/FOLFIRI to all pts, attaining a 2.5 percentage-point net-benefit at a threshold probability of roughly 9%. Conclusions: Our findings show that 2L NALIRI can offer long-term PFS advantage in a subgroup of mPDAC pts compared with other doublets. The AI-derived policy provides a higher net benefit than treating all pts with NALIRI, avoiding unnecessary clinical and financial toxicity.

Journal of Clinical OncologyVol. 43(16_suppl)
University of Foggia (IT), University of Verona (IT), University of Cagliari (IT), University of Campania "Luigi Vanvitelli" (IT), Agostino Gemelli University Polyclinic (IT), Istituto Oncologico Veneto (IT), Federico II University Hospital (IT), Ospedale Santa Maria della Misericordia di Udine (IT), Centro di Riferimento Oncologico (IT), Fondazione Poliambulanza Istituto Ospedaliero (IT), Istituti di Ricovero e Cura a Carattere Scientifico (IT), Fondazione IRCCS Istituto Nazionale dei Tumori (IT), La Maddalena (IT), Azienda Ospedaliera Universitaria Pisana (IT)
Openalex Percentile: Top 82%
Pancreatic and Hepatic Oncology Research
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