Prognostic Value of the Lung Immune Prognostic Index and an ECOG–Albumin–LIPI Nomogram in Metastatic NSCLC Patients Treated with Second- or Third-Line Nivolumab

Background/Objectives: Clinical outcomes with immune checkpoint inhibitors (ICIs), such as nivolumab, vary among patients with metastatic non-small cell lung cancer (NSCLC). The Lung Immune Prognostic Index (LIPI) may help stratify prognosis. This study evaluated the prognostic significance of LIPI in patients receiving second- or third-line nivolumab and developed a nomogram for individualized survival estimation. Methods: This single-center retrospective study included 142 patients with metastatic NSCLC who received second- or third-line nivolumab between February 2022 and December 2024, after progression on platinum-based chemotherapy. LIPI was calculated from baseline values obtained within 14 days before nivolumab initiation, based on a derived neutrophil-to-lymphocyte ratio (dNLR) > 3 and lactate dehydrogenase (LDH) > 225 U/L (institutional upper limit of normal), classifying patients as good-, intermediate-, or poor-risk (0, 1, or 2 factors, respectively). Overall survival (OS) and progression-free survival (PFS) were estimated by the Kaplan–Meier method; independent prognostic factors were assessed by multivariable Cox regression, and a prognostic nomogram combining ECOG performance status, serum albumin, and LIPI was developed and internally validated. Results: By LIPI, 34.5%, 45.1%, and 20.4% of patients were at good, intermediate, and poor risk, respectively. Objective response and disease control rates were 29.6% and 55.6%. Median OS and PFS were 19.3/8.0/3.1 and 8.6/3.1/2.5 months across good, intermediate, and poor LIPI groups (log-rank p < 0.001). In multivariable analysis, ECOG 2 (hazard ratio [HR], 4.94), albumin per 1 g/dL (HR 0.27), and poor versus good LIPI (HR 3.74) were independently associated with OS. A nomogram combining these three factors showed acceptable discrimination (optimism-corrected Harrell C-statistic 0.742). Conclusions: LIPI was independently associated with prognosis in this cohort. Combining LIPI with ECOG and albumin may aid individualized risk assessment, pending external validation.

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Journal
Journal of Clinical Medicine
Published
2026-09-04
DOI
https://doi.org/10.3390/jcm15176869
Primary Topic
Cancer Immunotherapy and Biomarkers
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article
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article

Prognostic Value of the Lung Immune Prognostic Index and an ECOG–Albumin–LIPI Nomogram in Metastatic NSCLC Patients Treated with Second- or Third-Line Nivolumab

Muhammet Bekir Hacıoğlu, İsmail Bayrakçı, Didem Divriklioğlu, İvo Gökmen et al.
Journal of Clinical Medicine
Cancer Immunotherapy and Biomarkers
article

Prognostic Value of the Lung Immune Prognostic Index and an ECOG–Albumin–LIPI Nomogram in Metastatic NSCLC Patients Treated with Second- or Third-Line Nivolumab

Muhammet Bekir Hacıoğlu, İsmail Bayrakçı, Didem Divriklioğlu, İvo Gökmen, Sernaz Uzunoğlu, Ahmet Küçükarda, Gizem Bakir Kahveci, Bülent Erdoğan, Dicle Yurdatap Koç, Ece Demirdelen
article en

Abstract

Background/Objectives: Clinical outcomes with immune checkpoint inhibitors (ICIs), such as nivolumab, vary among patients with metastatic non-small cell lung cancer (NSCLC). The Lung Immune Prognostic Index (LIPI) may help stratify prognosis. This study evaluated the prognostic significance of LIPI in patients receiving second- or third-line nivolumab and developed a nomogram for individualized survival estimation. Methods: This single-center retrospective study included 142 patients with metastatic NSCLC who received second- or third-line nivolumab between February 2022 and December 2024, after progression on platinum-based chemotherapy. LIPI was calculated from baseline values obtained within 14 days before nivolumab initiation, based on a derived neutrophil-to-lymphocyte ratio (dNLR) > 3 and lactate dehydrogenase (LDH) > 225 U/L (institutional upper limit of normal), classifying patients as good-, intermediate-, or poor-risk (0, 1, or 2 factors, respectively). Overall survival (OS) and progression-free survival (PFS) were estimated by the Kaplan–Meier method; independent prognostic factors were assessed by multivariable Cox regression, and a prognostic nomogram combining ECOG performance status, serum albumin, and LIPI was developed and internally validated. Results: By LIPI, 34.5%, 45.1%, and 20.4% of patients were at good, intermediate, and poor risk, respectively. Objective response and disease control rates were 29.6% and 55.6%. Median OS and PFS were 19.3/8.0/3.1 and 8.6/3.1/2.5 months across good, intermediate, and poor LIPI groups (log-rank p < 0.001). In multivariable analysis, ECOG 2 (hazard ratio [HR], 4.94), albumin per 1 g/dL (HR 0.27), and poor versus good LIPI (HR 3.74) were independently associated with OS. A nomogram combining these three factors showed acceptable discrimination (optimism-corrected Harrell C-statistic 0.742). Conclusions: LIPI was independently associated with prognosis in this cohort. Combining LIPI with ECOG and albumin may aid individualized risk assessment, pending external validation.

Journal of Clinical MedicineVol. 15(17)
Çanakkale Onsekiz Mart Üniversitesi (TR), Trakya University (TR), State Hospital (GB), Nevşehir Hacı Bektaş Veli University (TR)
No poverty
Openalex Percentile: Top 13%
Cancer Immunotherapy and Biomarkers
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