Development and validation of a new tool to estimate early mortality in patients with advanced cancer treated with immunotherapy
Author:
De Giglio Andrea1, Leonetti Alessandro2, Comito Francesca3, Filippini Daria Maria1, Mollica Veronica3, Rihawi Karim3, Peroni Marianna4, Mazzaschi Giulia2, Ricciotti Ilaria1, Carosi Francesca1, Marchetti Andrea1, Rosellini Matteo1, Gagliano Ambrogio1, Favorito Valentina1, Nobili Elisabetta3, Gelsomino Francesco3, Melotti Barbara3, Marchese Paola Valeria1, Sperandi Francesca3, Federico Alessandro Di1, Buti Sebastiano2, Perrone Fabiana2, Massari Francesco1, Pantaleo Maria Abbondanza1, Tiseo Marcello2, Ardizzoni Andrea1
Affiliation:
1. Alma Mater Studiorum University of Bologna 2. University Hospital of Parma 3. IRCCS Azienda Ospedaliero-Universitaria di Bologna 4. University of Parma
Abstract
Abstract
Background:
Immune checkpoint inhibitors (ICIs) are standard treatments for advanced solid cancers. Resistance to ICIs, both primary and secondary, poses challenges, with early mortality (EM) within 30–90 days indicating a lack of benefit. Prognostic factors for EM, including the Lung Immune Prognostic Index (LIPI), remain underexplored.
Methods:
We performed a retrospective, observational study including patients affected by advanced solid tumors, treated with ICI as single-agent or combined with other agents. Logistic regression models identified factors associated with EM and 90-day progression risks. A nomogram for predicting 90-day mortality was built and validated within an external cohort .
Results:
637 patients received ICIs (single-agent or in combination with other drugs) for advanced solid tumors. Most patients were male (61.9%), with NSCLC as the prevalent tumor (61.8%). Within the cohort, 21.3% died within 90 days, 8.4% died within 30 days, and 34.5% experienced early progression. Factors independently associated with 90-day mortality included ECOG PS 2 and a high/intermediate LIPI score. For 30-day mortality, lung metastasis and a high/intermediate LIPI score were independent risk factors. Regarding early progression, high/intermediate LIPI score was independently associated. A predictive nomogram for 90-day mortality combining LIPI and ECOG PS achieved an AUC of 0.76 (95% CI, 0.71–0.81). The discrimination ability of the nomogram was confirmed in the external validation cohort (n = 255) (AUC 0.72,95% CI, 0.64–0.80).
Conclusion:
LIPI and ECOG PS independently were able to estimate 90-day mortality, with LIPI also demonstrating prognostic validity for 30-day mortality and early progression.
Publisher
Springer Science and Business Media LLC
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