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Updated: Jan 4, 2026

Predictive Immune Modeling of Solid Tumors
Published on: February 25, 2020
The Lung Immune Prognostic Index Discriminates Survival Outcomes in Patients with Solid Tumors Treated with Immune
Daniel E Meyers1, Igor Stukalin2, Isabelle A Vallerand3,4
1Department of Oncology, University of Calgary, Calgary, Alta T2N 4N2, Canada. daniel.meyers@ucalgary.ca.
Abstract:
Immune checkpoint inhibitors (ICI) have revolutionized the treatment landscape of several solid tumor types. However, as patient outcomes are heterogeneous, clinical tools to aid in prognostication are needed. The Lung Immune Prognostic Index (LIPI) correlates with outcomes in patients with non-small cell lung cancer (NSCLC) treated with ICI, but its applicability beyond NSCLC is poorly defined. We sought to determine whether LIPI is associated with overall survival (OS), progression-free survival (PFS) and objective response rate (ORR) in a pooled, real-world, retrospective cohort of patients with solid tumors treated with ICI. Of the total pooled cohort (N = 578), 47.2%, 38.2% and 14.5% of patients were stratified into good, intermediate and poor LIPI group, respectively. Median OS were 22.8 (95% CI 17.4-29.5), 7.8 (95% CI 6.6-9.6), and 2.5 months (95% CI 1.4-3.4) (p < 0.0001). Median PFS were 9.9 (95% CI 7.2-11.5), 3.6 (95% CI 2.7-4.3), and 1.4 months (95% CI 1.2-2.2) (p < 0.0001). ORR was also associated with LIPI group (p < 0.001). Intermediate and poor LIPI were independently prognostic of OS compared to good LIPI, with hazard ratios (HR) of 1.8 (95% CI 1.4-2.3, p < 0.001) and 3.6 (95% CI 2.5-5.1, p < 0.001), respectively. These data are the first to suggest that in a real-world setting, the prognostic value of LIPI may be tumor agnostic.

