Evaluation of the Lung Immune Prognostic Index in Non-Small Cell Lung Cancer Patients Treated With Systemic Therapy: A Retrospective Study and Meta-Analysis

Lung immune prognostic index (LIPI) as a prognostic factor in patients with extensive-stage small cell lung cancer treated with first-line chemoimmunotherapy

INTRODUCTION

The lung immune prognostic index (LIPI) is a biomarker that combines the lactate dehydrogenase (LDH) value and the derived neutrophil/lymphocyte ratio (dNLR). Its prognostic ability has been reported in non-small cell lung cancer (NSCLC) with immunotherapy. In the context of extensive-stage small cell lung cancer (ES-SCLC) with chemoimmunotherapy, its role remains to be determined.

METHODS

A retrospective, multicenter study of patients with ES-SCLC who received atezolizumab plus chemotherapy as first-line treatment was conducted. 101 patients were divided into three groups: LIPI good (n = 33), LIPI intermediate (n = 41), and LIPI poor (n = 27). The Kaplan-Meier method was used for analysis of overall survival (OS) and progression-free survival (PFS), using the log-rank test for comparisons. Univariate and multivariate Cox models were developed to assess the LIPI as an independent predictor of survival.

RESULTS

The good LIPI group had a significantly longer median PFS than the intermediate and poor LIPI groups: 9.6 vs 5.4 vs 5.2 months, respectively (p < 0.001). Significant differences in OS between good, intermediate, and poor LIPI were also observed, with median OS of 23.4 vs 9.8 vs 6.0 months, respectively (p < 0.001). Multivariate Cox regression analysis for PFS identified liver metastases and intermediate and poor LIPI as worse prognostic factors (p < 0.050). For OS, a worse prognosis was confirmed in both the intermediate LIPI group (HR: 2.18, 95% CI: 1.07-4.41, p = 0.031) and the poor LIPI group (HR: 5.40, 95% CI: 2.64-11.07, p < 0.001).

CONCLUSIONS

In patients with ES-SCLC treated with chemoimmunotherapy, an intermediate and poor pretreatment LIPI score was associated with worse PFS and OS prognosis.

Inflammation‑based prognostic markers of metastatic pancreatic cancer using real‑world data in Japan: The Tokushukai REAl‑world Data (TREAD) project

Inflammation-based prognostic markers based on a combination of blood-based parameters, including the modified Glasgow prognostic score (mGPS), have been associated with clinical outcomes in patients with various types of cancer. The present study aimed to evaluate and compare the accuracy of these previously reported markers in patients with metastatic pancreatic cancer receiving first-line chemotherapy. A total of 846 patients were identified between April 2010 and March 2020 as part of a nationwide real-world study from 46 Tokushukai medical group hospitals in Japan. Blood laboratory data collected within 14 days of starting first-line chemotherapy assessed 17 inflammation-based prognostic markers. Information from patients with no missing data was used to compare the accuracy and performance of the inflammation-based prognostic markers. A total of 487 patients were eligible for this supplemental analysis. The 17 inflammation-based markers demonstrated significant prognostic value. Among them, the concordance rate with overall survival (OS) was highest for mGPS. The median OS time of patients with mGPS 0, 1 and 2 was 8.2, 6.0 and 2.9 months, respectively. Compared with mGPS 0, mGPS 1 and 2 showed hazard ratios of 1.39 (95% confidence interval, 1.07-1.81) and 2.63 (2.00-3.45), respectively. The present real-world data analysis showed that various previously reported inflammation-based markers had significant prognostic value in patients with metastatic pancreatic cancer. Among these markers, the mGPS demonstrated the highest level of accuracy. This trial has been registered in the University Hospital Medical Information Network Clinical Trials Registry as UMIN000050590 on April 1, 2023.

Early Changes in LIPI Score Predict Immune-Related Adverse Events: A Propensity Score Matched Analysis in Advanced Non-Small Cell Lung Cancer Patients on Immune Checkpoint Blockade

In advanced cancer patients undergoing immune checkpoint blockade, the burden of immune-related adverse events (irAEs) is high. The need for reliable biomarkers for irAEs remains unfulfilled in this expanding therapeutic field. The lung immune prognostic index (LIPI) is a noninvasive measure of systemic inflammation that has consistently shown a correlation with survival in various cancer types when assessed at baseline. This study sought to determine whether early changes in the LIPI score could discriminate the risk of irAEs and different survival outcomes in advanced non-small cell lung cancer (NSCLC) patients receiving PD-(L)1 blockade-based therapies. We included consecutive patients diagnosed with metastatic NSCLC who received pembrolizumab, nivolumab, or atezolizumab as second-line therapy following platinum-based chemotherapy, or first-line pembrolizumab either alone or in combination with platinum-based chemotherapy. The LIPI score relied on the combined values of derived neutrophil/lymphocyte ratio (dNLR) and lactate dehydrogenase. Their assessment at baseline and after two cycles of treatment allowed us to categorize the population into three subgroups with good (LIPI-0), intermediate (LIPI-1), and poor (LIPI-2) prognosis. Between April 2016 and May 2023, we enrolled a total of 345 eligible patients, 165 (47.8%) and 180 (52.2%) of whom were treated as first- and second-line at our facility, respectively. After applying propensity score matching, we considered 83 relevant patients in each cohort with a homogeneous distribution of all characteristics across the baseline LIPI subgroups. There was a noticeable change in the distribution of LIPI categories due to a significant decrease in dNLR values during treatment. Although no patients shifted to a worse prognosis category, 20 (24.1%) transitioned from LIPI-1 to LIPI-0, and 7 (8.4%) moved from LIPI-2 to LIPI-1 (p < 0.001). Throughout a median observation period of 7.3 (IQR 3.9-15.1) months, a total of 158 irAEs (63.5%) were documented, with 121 (48.6%) and 39 (15.7%) patients experiencing mild to moderate and severe adverse events, respectively. Multivariate logistic regression analysis showed that the classification and changes in the LIPI score while on treatment were independent predictors of irAEs. The LIPI-0 group was found to have significantly increased odds of experiencing irAEs. Following a median follow-up period of 21.1 (95% CI 17.9-25.8) months, the multivariable Cox model confirmed LIPI categorization at any given time point as a significant covariate with influence on overall survival, irrespective of the treatment line. These findings suggest that reassessing the LIPI score after two cycles of treatment could help pinpoint patients particularly prone to immune-related toxicities. Those who maintain a good LIPI score or move from the intermediate to good category would be more likely to develop irAEs. The continuous assessment of LIPI provides prognostic insights and could be useful for predicting the benefit of PD-(L)1 checkpoint inhibitors.

Predictability of Neutrophile to Lymphocyte Ratio and Platelet to Lymphocyte Ratio on the Effectiveness of Immune Checkpoint Inhibitors in Non-small Cell Lung Cancer patients: A Meta-Analysis

OBJECTIVES

The associations between the neutrophil-lymphocyte ratio (NLR) and platelet-to-lymphocyte ratio (PLR) with the responses of non-small cell lung cancer (NSCLC) patients receiving immune checkpoint inhibitors (ICI) and the NLR/PLR predictive potential were evaluated via meta-analysis.

METHODS

A systematic review was conducted using the PubMed, Embase, and The Cochrane Library databases until October 2021. The relationship between NLR/PLR and overall survival (OS) and progression-free survival (PFS) was evaluated using pooled hazard ratios (HR). The relationship between NLR/PLR and overall response rate (ORR) and disease control rate (DCR) was assessed via pooled odds ratios (OR). Heterogeneity between studies, publication bias, subgroup and sensitivity analyses, trim and fill meta-analysis, and the contour-enhanced funnel plot were performed using the R software.

RESULTS

A total of 44 (out of 875) studies met the eligibility criteria, providing a sample size of 4597 patients. Patients with a high NLR were statistically significantly associated with worse outcomes, including OS (pooled HR = 2.44; P < 0.001), PFS (pooled HR = 2.06; P < 0.001), DCR (pooled OR = 0.71; P < 0.001), and ORR (pooled OR = 0.33; P < 0.001). Similarly, a high PLR was associated with poorer outcomes in response to ICI drugs, including OS (pooled HR = 2.13; P < 0.001) and PFS (pooled HR = 1.61; P < 0.001).

CONCLUSION

High NLR and PLR were associated with a statistically significant reduction in the efficacy of ICI drugs in NSCLC patients. Thereby, it is possible to use NLR and PLR as potential and available biomarkers in the clinical practice to predict the outcome of ICI treatment in NSCLC patients.

Correlation of Lung Immune Prognostic Index With Efficacy of PD-1/PD-L1 Inhibitor Combined With Chemotherapy and Prognosis in Patients With Advanced Non-Small Cell Lung Cancer

OBJECTIVE

Non-small cell lung cancer (NSCLC) is a devastating but universal class of lung carcinoma with an unfavorable prognosis. This paper mainly investigated the correlation between lung immune prognostic index (LIPI) score and combined treatment of immune checkpoint inhibitor and chemotherapy (CHT) in patients with advanced NSCLC.

METHODS

Totally, 301 advanced NSCLC patients with programmed death-ligand 1 (PD-L1) expression ≥1% were assigned into good LIPI group (N=113), intermediate LIPI group (N=101), and poor LIPI group (N=87) based on LIPI scoring system, followed by treatment of CHT plus programmed cell death-1 (PD-1)/PD-L1 inhibitor. The differences in clinical parameters between subgroups of NSCLC patients were analyzed by χ 2 test, 1-way analysis of variance, and Kruskal-Wallis H test. All patients were followed up until June 30, 2022, and objective response rate, disease control rate, progression-free survival (PFS), and overall survival (OS) were recorded. The independent associations of LIPI score with PFS and OS were assessed via the Cox regression model.

RESULTS

There were evident differences in clinical stage and lymphocyte among the 3 subgroups of NSCLC patients. The efficacy of PD-1/PD-L1 inhibitor combined with CHT was better in patients with good LIPI score, manifested by higher objective response rate and disease control rate. Moreover, LIPI score was an independent factor influencing PFS and OS in patients with advanced NSCLC, with longer PFS and OS in patients with good LIPI score.

CONCLUSION

LIPI score has a predictive value for combination therapy of PD-1/PD-L1 blockade and CHT in advanced NSCLC patients.

Prognostic Value of the Lung Immune Prognostic Index for Metastatic Non-Small Cell Lung Cancer Patients: A Chinese Cohort Study

Background

Most cancer-related deaths around the globe are caused by lung cancer. The present treatments for metastatic non-small cell lung cancer (mNSCLC) are cytotoxic chemotherapy (CCT), targeted therapy (TT) and immunotherapy, but the benefit of the same regime varies greatly. Hence, it is important to identify biomarkers to predict the efficacy of modalities. Previous literature suggested certain parameters might be predictive factors. Nevertheless, the utility of these parameters is limited due to the types of solid tumors.

Purpose

The study aimed to examine whether the lung immune prognostic index (LIPI) was related to outcomes of CCT, immune checkpoint inhibitors (ICIs) and TT for mNSCLC patients.

Materials and Methods

A retrospective cohort study between September 2012 and May 2020 was conducted on 350 Chinese mNSCLC patients, including 147 patients receiving ICIs, 103 TT, and 100 CCT. The data were examined to analyze the prognostic value of LIPI among various treatments.

Main Outcomes and Measures

The associations between PFS and good, intermediate, or poor prognostic LIPI scores in ICIs, TT, and CCT were determined, respectively.

Results

In univariable analyses, there was a relevance between a good LIPI score and better PFS among patients receiving ICIs (HR, 0.81; 95% CI, 0.44-1.51), TT (HR, 0.35; 95% CI, 0.16-1.74), and CCT (HR, 0.39; 95% CI, 0.19-0.80). In multivariable analyses, the intermediate LIPI score was linked to better PFS only in patients receiving TT (HR, 0.31; 95% CI, 0.17-0.92) rather than ICIs (HR, 1.12; 95% CI, 0.66-2.45) or CCT (HR, 1.24; 95% CI, 0.49-4.55).

Conclusion

Baseline LIPI value is an important prognostic biomarker for mNSCLC patients treated with TT. Shorter PFS with TT was associated with poor baseline LIPI. Poor LIPI score may be considered as a promising indicator showing which patients are unlikely to respond well to TT. The prognostic value of LIPI can be more clearly determined through prospective clinical study.

Emerging Biomarkers in Immune Oncology to Guide Lung Cancer Management

Over the last decade, the use of targeted therapies and immune therapies led to drastic changes in the management lung cancer and translated to improved survival outcomes. This growing arsenal of therapies available for the management of non-small cell lung cancer added more complexity to treatment decisions. The genomic profiling of tumors and the molecular characterization of the tumor microenvironment gradually became essential steps in exploring and identifying markers that can enhance patient selection to facilitate treatment personalization and narrow down therapy options. The advent of innovative diagnostic platforms, such as next-generation sequencing and plasma genotyping (also known as liquid biopsies), has aided in this quest. Currently, programmed cell death ligand 1 expression remains the most recognized and fully validated predictive biomarker of response to immune checkpoint inhibitors. Other markers such as tumor mutational burden, tumor infiltrating lymphocytes, driver mutations, and other molecular elements of the tumor microenvironment bear the potential to be predictive tools; however, the majority are still investigational. In this review, we describe the advances noted thus far on currently validated as well as novel emerging biomarkers that have the potential to guide the use of immunotherapy agents in the management of non-small cell lung cancer.

Decreased monocyte-to-lymphocyte ratio was associated with satisfied outcomes of first-line PD-1 inhibitors plus chemotherapy in stage IIIB-IV non-small cell lung cancer

Objectives

Immune-checkpoint inhibitors (ICIs) combined with chemotherapy are more widely used than monotherapy and have shown better survival in patients with advanced non-small cell lung cancer (NSCLC) without oncogenic driver alterations. The monocyte-to-lymphocyte ratio (MLR) might predict the treatment outcomes of ICI therapy in advanced NSCLC patients but has not yet been investigated. In addition, the cutoff of MLR is controversial. Therefore, the present study aimed to explore the associations between changes in MLR at the initial stage of treatment and clinical outcomes in stage IIIB-IV NSCLC patients receiving first-line PD-1 inhibitor combined with chemotherapy.

Methods

The present study included 139 stage IIIB-IV NSCLC patients treated with first-line PD-1 inhibitor combined with chemotherapy. The blood results were assessed 10 days before initiation of PD-1 inhibitor-based combination therapy (time point 1, baseline) and before the third cycle of combined therapy (time point 2). Compared to altered MLR, neutrophil-to-lymphocyte ratio (NLR), and platelet-to-lymphocyte ratio (PLR) in baseline and in time point 2, patients were divided into decreased MLR/NLR/PLR and increased MLR/NLR/PLR groups. The objective response rate (ORR), progression-free survival (PFS), and the association with the changes in blood indicators were analyzed.

Results

A total of 48 patients were categorized in the decreased MLR group and 91 in the increased MLR group. Patients with decreased MLR had a significantly higher ORR in the univariate (P<0.001) and multivariate (P<0.001) Cox proportional hazards models. On the other hand, decreased MLR was significantly associated with prolonged PFS in the univariate (P=0.007) and multivariate (P=0.016) analyses. Next, 91 patients comprised the decreased NLR group and 48 as the increased NLR group. Patients with decreased NLR exhibited high ORR (P=0.001) and prolonged PFS in univariate analysis (P=0.033). Then, 64 patients comprised the decreased PLR group and 75 the increased PLR group. Decreased PLR was significantly associated with high ORR in univariate (P<0.001) and multivariate (P=0.017) analyses. The subgroup analyses showed that decreased MLR was significantly associated with satisfactory outcomes in patients with all PD-L1 expressions.

Conclusion

Decreased MLR was associated with high ORR and long PFS and might have a potential predictive value in patients with stage IIIB-IV NSCLC treated with first-line PD-1 inhibitor combined with chemotherapy. In addition, changes in MLR might have predictive value in all PD-L1-expressing populations. Decreased NLR and PLR also showed improved survival, suggesting that changes in NLR and PLR may be complementary to predicting prognosis.

Significance of the Lung Immune Prognostic Index for Assessment of the Reliability of the Clinical Treatment Outcome for Advanced Non-Small-Cell Lung Cancer in Patients with COVID-19 Infection

Introduction: Lung cancer is one of the most diagnosed malignancies with increasing incidence worldwide. Immunotherapy is the main oncological treatment for advanced non-small cell lung cancer (NSCLC), for which the discovery of new efficient biomarkers is crucial. Scientific evidence points to the importance of the Lung Immune Prognostic Index (LIPI), but its predictive significance is unclear. Aim: The aim of this study was to investigate the clinical significance and predictive role of LIPI in patients with advanced NSCLC and PD-L1 mutation who are eligible for immunotherapy in combination with chemotherapy. In addition, to our knowledge, this is the first time that the association between COVID-19 infection and the course and outcome of oncologic treatment of NSCLC has been investigated. Patients and Methods: Patients were divided into four study groups according to strictly defined clinical parameters, therapeutic approach, and COVID-19 infection. LIPI was determined and its predictive power was evaluated in all studied groups, as well as overall survival (OS), progression-free survival (PFS), and disease control rate (DCR). Results: This study confirmed the understudied and uncertain predictive power and clinical relevance of LIPI as a biomarker in patients with advanced NSCLC. Patients infected with COVID-19 had a higher survival rate than uninfected patients despite the therapeutic approach, which may be attributed to their hospitalization and intensive medical management during the pandemic. Conclusions: Findings obtained in this study may help to determine treatment options according to the clinical condition of the patient by using LIPI values as a non-invasive, readily available and economically acceptable predictive biomarker in lung oncology.