# Second-line chemotherapy after gemcitabine plus nab-paclitaxel in metastatic pancreatic cancer: comparative outcomes and AI-guided treatment selection

**Authors:** Letizia Procaccio, Guido Giordano, Federico Nichetti, Michele Milella, Andrea Pretta, Donatella Iacono, Monica Niger, Simona Casalino, Caterina Vivaldi, Ferdinando De Vita, Valeria Pusceddu, Matteo Landriscina, Giacomo Di Paolo, Sara Sperotto, Mariachiara Masucci, Giampaolo Tortora, Roberto Bianco, Enrico Vasile, Alberto Zaniboni, Chiara Carmen Miceli, Elena Ongaro, Elisa Giommoni, Gabriele Tinè, Giulia Barsotti, Silvia Marchesi, Mariacristina Di Marco, Silvia Ortolani, Giuseppe Aprile, Mario Scartozzi, Francesca Bergamo, Davide Melisi, Sara Lonardi

PMC · DOI: 10.1093/oncolo/oyag085 · 2026-03-16

## TL;DR

This study compares second-line chemotherapy options for metastatic pancreatic cancer after gemcitabine+nab-paclitaxel and uses AI to guide treatment decisions.

## Contribution

The study introduces interpretable AI methods to optimize treatment allocation for metastatic pancreatic cancer patients.

## Key findings

- FOLFIRINOX showed the longest progression-free and overall survival among second-line regimens.
- AI-derived treatment policies outperformed uniform strategies with a 2.5 percentage-point net benefit.
- Nal-IRI+5FU/LV was recommended for specific patient subgroups based on tumor location and biomarkers.

## Abstract

International guidelines recommend 5FU/LV, Nal-IRI + 5FU/LV, FOLFIRI, FOLFOX, or (m)FOLFIRINOX as second-line (2L) chemotherapy for patients with metastatic pancreatic ductal adenocarcinoma (mPDAC) after failure of gemcitabine+Nab-paclitaxel (GnP). However, a head-to-head comparison has not been performed.

We conducted an observational cohort study of consecutive mPDAC patients treated with 2L chemotherapy after GnP failure at 41 Italian centers. Progression-free survival (PFS) and overall survival (OS) were compared using inverse probability of treatment weighting. Interpretable artificial intelligence methods were applied to optimize treatment allocation. A counterfactual Cox model was trained on baseline characteristics to estimate 12-month PFS under each regimen, and an Optimal Policy Tree (OPT) was derived to generate treatment recommendations, validated in a test set. Net-benefit curves evaluated clinical utility.

Among 704 eligible patients, 56 (8.0%) received 5FU/LV, 153 (21.7%) FOLFIRI, 209 (29.7%) FOLFOX, 209 (29.7%) Nal-IRI + 5FU/LV, and 77 (10.9%) FOLFIRINOX. FOLFIRINOX was associated with the longest PFS and OS. Median PFS was comparable among doublets (3.5 months FOLFOX, 3.6 FOLFIRI, 3.3 Nal-IRI + 5FU/LV), though Nal-IRI + 5FU/LV showed a long-term benefit. The OPT recommended Nal-IRI + 5FU/LV for patients with head/body tumors, Eastern Cooperative Oncology Group performance status (PS) 0, or CA19.9 < 109 U/mL in those with PS > 0. Net-benefit analysis showed that the OPT consistently outperformed uniform treatment strategies, achieving a 2.5 percentage-point net benefit at a threshold probability of ∼9%.

FOLFIRINOX appears the most effective option for carefully selected, fit patients eligible for 2L chemotherapy after GnP failure. Interpretable artificial intelligence-derived treatment policies may provide superior net clinical benefit compared to uniform approaches and guide individualized therapy, warranting integration with upcoming targeted strategies such as RAS inhibitors.

## Linked entities

- **Chemicals:** gemcitabine (PubChem CID 60750), nab-paclitaxel (PubChem CID 36314), Nal-IRI (PubChem CID 76964235), CA19.9 (PubChem CID 643993)

## Full-text entities

- **Genes:** ALB (albumin) [NCBI Gene 213] {aka FDAHT, HSA, PRO0883, PRO0903, PRO1341}
- **Diseases:** Tumor (MESH:D009369), RMST (MESH:D002313), organ dysfunction (MESH:D009102), DM (MESH:D009223), pancreatic cancer (MESH:D010190), head/body tumors (MESH:D006258), lung (MESH:D008171), toxicities (MESH:D064420), death (MESH:D003643), liver metastases (MESH:D009362), neuroendocrine tumors (MESH:D018358), PDAC (MESH:D021441)
- **Chemicals:** Gem (MESH:D000093542), glycemia (MESH:D001786), LV (MESH:D002955), irinotecan (MESH:D000077146), Capecitabine (MESH:D000069287), 5-fluorouracil (MESH:D005472), oxaliplatin (MESH:D000077150), FOLFOX (MESH:C410216), FOLFIRINOX (MESH:C000627770), 2L (-), Nal-IRI (MESH:C584112)
- **Species:** Homo sapiens (human, species) [taxon 9606]
- **Cell lines:** NAPOLI-1 — Mus musculus (Mouse), Hybridoma (CVCL_C7RB)

## Figures

4 figures with captions in the complete paper: https://tomesphere.com/paper/PMC13014169/full.md

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Source: https://tomesphere.com/paper/PMC13014169