Lung immune prognostic index as a biomarker for predicting the benefit of immune checkpoint inhibitor plus chemotherapy in older patients with non-small cell lung cancer: a secondary analysis of the NEJ057 study.

Immune-Related Adverse Events and Outcomes in Patients with Advanced Non–Small Cell Lung Cancer: A Predictive Marker of Efficacy?

Combination therapy with immune checkpoint inhibitors and cytotoxic chemotherapies (chemoimmunotherapy) is associated with significantly better survival outcomes than cytotoxic chemotherapies alone in patients with advanced non-small cell lung cancer (NSCLC). However, there are no prognostic markers for chemoimmunotherapy. The prognostic nutritional index (PNI) and lung immune prognostic index (LIPI) are prognostic biomarkers for immune checkpoint inhibitor (ICI) monotherapy or cytotoxic chemotherapies. Thus, we aimed to examine whether these factors could also be prognostic markers for chemoimmunotherapy. We retrospectively examined 237 patients with advanced NSCLC treated with chemoimmunotherapy. In the total group, the median overall survival (OS) was not reached, and the median progression-free survival (PFS) was 8.6 months. Multivariate analysis of OS and PFS revealed significant differences based on PNI and LIPI. Programmed cell death ligand 1 (PD-L1) was also significantly associated with OS and PFS. PNI and a PD-L1 tumor proportion score (TPS) of <50% and poor LIPI (regardless of PD-L1 TPS) were associated with poor prognosis. PNI and LIPI predicted survival outcomes in patients with advanced NSCLC treated with chemoimmunotherapy, especially in patients with PD-L1 TPS <50%. For patients in this poor category, chemoimmunotherapy may result in a worse prognosis than expected.

Simple SummaryThe lung immune prognostic index (LIPI) is proposed as a simple risk scoring tool to differentiate differences in survival from immune checkpoint inhibitors (ICIs) in advanced non-small cell lung cancer (NSCLC). The tool has not been evaluated for performance in a NSCLC cohort initiating first-line, combination ICI approaches. In a large cohort of participants with chemotherapy-naïve, metastatic non-squamous NSCLC, we independently validated, for the first time, that LIPI discriminates a clear subgroup of patients likely to achieve reduced survival following the initiation of combination therapies including the ICI atezolizumab.The lung immune prognostic index (LIPI) is proposed to differentiate prognosis and treatment benefit from immune checkpoint inhibitors (ICIs) in advanced non-small cell lung cancer (NSCLC). There is minimal information on the predictive importance with first-line, combination ICI approaches. In post-hoc analysis of IMpower150, Cox-proportional hazard analysis assessed the association between LIPI groups and overall survival (OS)/progression free survival (PFS). IMpower150 involved chemotherapy-naïve, metastatic non-squamous NSCLC participants randomized atezolizumab-carboplatin-paclitaxel (ACP), bevacizumab-carboplatin-paclitaxel (BCP), or atezolizumab-BCP (ABCP). Good (0 factors), intermediate (1 factor), and poor LIPI (2 factors) were defined via derived neutrophil-to-lymphocyte ratio >3, and lactate dehydrogenase >upper limit of normal. Of 1148 participants, 548 had good, 479 intermediate, and 121 poor LIPI. In 385 participants randomised ABCP, a significant association between LIPI and OS (HR (95%CI): intermediate LIPI = 2.16 (1.47–3.18), poor LIPI = 5.28 (3.20–8.69), p < 0.001) and PFS (HR (95%CI): intermediate LIPI = 1.47 (1.11–1.95), poor LIPI = 3.02 (2.03–4.50), p < 0.001) was identified. Median OS was 24, 16, and 7 months for good, intermediate, and poor LIPI, respectively. ACP associations were similar. Relative OS treatment effect (HR 95%CI) of ABCP vs. BCP was 0.78 (0.53–1.15), 0.67 (0.49–0.91), and 0.87 (0.51–1.47) for the good, intermediate, and poor LIPI groups, respectively (P(interaction) = 0.66), with no benefit in median OS observed in the poor LIPI group. LIPI identified subgroups with significantly different survival following ABCP and ACP initiation for chemotherapy-naïve, metastatic non-squamous NSCLC. There was insufficient evidence that LIPI identifies patients unlikely to benefit from ABCP treatment.

e20645 Background: The lung immune prognostic index (LIPI) has been proposed as a new biomarker to select advanced non-small cell lung cancer (NSCLC) patients for anti-programmed cell death-1 or programmed death ligand 1 therapy. In this study, we investigate the prognostic and predictive utility of the LIPI in a multicentric nivolumab monotherapy-based cohort. Methods: 153 patients with available baseline LIPI were included. Survival estimates were calculated by the Kaplan-Meier method, and groups were compared with the log-rank test. The impact of the baseline LIPI on survival (PFS and OS), and DCR and ORR was assessed by Cox and logistic regression models respectively, adjusted for age, sex, ECOG-PS, smoking status, histology, TNM stage at diagnosis, presence of brain metastases and number of prior regimens. All p values were 2-sided, and those less than 0.05 were considered statistically significant. Results: 50.3% (n = 77) of the patients had a good (0 factors) LIPI, while 41.2% (n = 63) and 8.5% (n = 13) had intermediate (1 factor) and poor (2 factors) LIPI respectively. No significant differences were observed between the LIPI groups according to clinicopathologic characteristics. A high LIPI was significantly associated with poor OS in univariate (HR = 3.12, 95% CI 2.12 – 4.60; p &lt; 0.0001) and multivariate (HR = 3.10, 95% CI 2.09 – 4.58; p &lt; 0.0001) analyses. A high LIPI was associated with poor PFS (HR = 1.49, 95% CI 1.07 – 2.07; p = 0.02), but this correlation did not reach a statistical significance in multivariate analysis (HR = 1.37, 95% CI 0.98 – 1.92; p = 0.07). A higher LIPI was associated with a lower disease control rate in univariate (OR = 0.50, 95% CI 0.29 – 0.85; p = 0.01) and multivariate (OR = 0.55, 95% CI 0.31 – 0.98; p = 0.04) analyses. Conclusions: This study confirms the utility of the LIPI in prognostication and disease control prediction in advanced NSCLC patients treated with nivolumab in the second line of therapy or beyond.

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

e21076 Background: PD-L1 inhibitor, durvalumab has been approved since the PACIFIC study showed its efficacy as consolidation therapy after CCRT for locally advanced NSCLC. But predictive factor for the efficacy of CCRT on this post PACIFIC era have not been known. LIPI has been proposed as a new biomarker for the anti-PD-1 therapy of advanced NSCLC. In this study, we investigated the usefulness of LIPI as a predictive marker in multicenter cohort of patients with locally advanced NSCLC who received CCRT as initial treatment. Methods: 219 patients with available baseline LIPI were reviewed. The progression free survival (PFS) was estimated by the Kaplan-Meier method, and LIPI were calculated at baseline. Kaplan-Meier estimates of PFS and recurrence were compared using the log-rank test for trend. Multivariable analysis was conducted using the Cox and logistic regression models, respectively, adjusted for age, sex, ECOG-PS, smoking, histology, TNM stage, chemotherapy regimens, Body mass index (BMI), PD-L1 status, EGFR or ALK mutation, and baseline LIPI. Results: 62.5% (n = 137) of the patients had a good (0 factors) LIPI, while 37.5% (n = 82) had intermediate (1 factor) and poor (2 factors) LIPI respectively. In multivariable analysis, good LIPI (0 factors) were significantly associated with longer PFS (HR = 0.46, 95% CI 0.28-0.75; P &lt; 0.01) as did ECOG-PS0 (P &lt; 0.01), ≤stageIIIA (P &lt; 0.01), being treated with durvalumab after CRT (P = 0.04). There were no difference in the patient characteristics between good LIPI and intermediate/poor LIPI, significantly. Higher LIPI (1 or 2 factors) were strongly prognostic factor for recurrence after CCRT in multivariate analysis (P = 0.04), along with ECOG-PS1≤ (P &lt; 0.01), stage IIIB≤ (P &lt; 0.01). Conclusions: The good LIPI predictive value for PFS and disease control in patients treated with CCRT was confirmed. Although a strong statistical significance, we needs to be confirmed further with longer follow-up and prospective study.

1263P - External validation and longitudinal extension of the LIPI (Lung Immune Prognostic Index) for immunotherapy outcomes in advanced non-small cell lung cancer

How low can you go? PD-L1 expression as a biomarker in trials of cancer immunotherapy

BackgroundLung immune prognostic index (LIPI) status was recently developed to predict responses to immune checkpoint inhibitor (ICI) treatments. However, it is unclear whether LIPI is a prognostic index for both patients treated with ICI monotherapy and patients treated with ICIs combined with chemotherapy (ICIs CC).MethodsThis retrospective study established the patterns of LIPI in Chinese patients with advanced non-small cell lung cancer. Lung immune prognostic index based on the derived neutrophil-to-lymphocyte ratio greater than 3 and lactate dehydrogenase greater than the upper limit of normal was developed to characterize good, intermediate, or poor LIPI status. Associations between LIPI status and progression-free survival (PFS) and overall survival (OS) were analyzed. Kaplan–Meier curves and Cox proportional hazards models were used to determine survival differences.ResultsThree hundred thirty patients were included in this study. Of these patients, 216 received ICI monotherapy and 114 received ICIs CC. A good LIPI status was associated with better PFS (6.1 months vs. 2.3 months vs. 2.1 months, P = 0.023) and OS (24.2 months vs. 14.5 months vs. 9.3 months, P < 0.001) in ICI monotherapy compared to intermediate or poor LIPI status. No differences in PFS (17.9 vs. 9.9 months vs. 7.6 months, P = 0.355, respectively) and OS (P = 0.346) were observed in patients who received ICIs CC. Moreover, we found that patients who had an improved LIPI status compared with the baseline value had a longer PFS with ICI monotherapy and LIPI intermediate status (8.4 months vs. 2.1 months vs. 1.4 months, P < 0.001). However, in patients treated with ICIs CC, these dynamic changes were not observed (P = 0.444).ConclusionsLung immune prognostic index status and dynamic changes in LIPI could be prognostic markers of treatment response to ICI monotherapy, but not to ICIs CC. In particular, good LIPI status was associated with a better clinical outcome compared with intermediate and poor LIPI status in ICI monotherapy treatment.

1509P - Applicability of lung immune prognostic index (LIPI) to predict efficacy of first-line pembrolizumab in advanced non-small cell lung cancer (NSCLC)

Derived neutrophils/(leukocytes minus neutrophils) ratio (dNLR) and lactate dehydrogenase (LDH) level have been correlated with immune checkpoint inhibitor (ICI) outcomes in patients with melanoma. To determine whether pretreatment dNLR and LDH are associated with resistance to ICIs in patients with advanced non-small cell lung cancer (NSCLC). Multicenter retrospective study with a test (n = 161) and a validation set (n = 305) treated with programmed death 1/programmed death ligand 1 (PD-1/PD-L1) inhibitors in 8 European centers, and a control cohort (n = 162) treated with chemotherapy only. Complete blood cell counts, LDH, and albumin levels were measured before ICI treatment. A lung immune prognostic index (LIPI) based on dNLR greater than 3 and LDH greater than upper limit of normal (ULN) was developed, characterizing 3 groups (good, 0 factors; intermediate, 1 factor; poor, 2 factors). The primary end point was overall survival (OS). Secondary end points were progression-free survival (PFS) and disease control rate (DCR). In the pooled ICI cohort (N = 466), 301 patients (65%) were male, 422 (90%) were current or former smokers, and 401 (87%) had performance status of 1 or less; median age at diagnosis was 62 (range, 29-86) years; 270 (58%) had adenocarcinoma and 159 (34%) had squamous histologic subtype. Among 129 patients with PD-L1 data, 96 (74%) had PD-L1 of at least 1% by immunohistochemical analysis, and 33 (26%) had negative results. In the test cohort, median PFS and OS were 3 (95% CI, 2-4) and 10 (95% CI, 8-13) months, respectively. A dNLR greater than 3 and LDH greater than ULN were independently associated with OS (hazard ratio [HR] 2.22; 95% CI, 1.23-4.01 and HR, 2.51; 95% CI, 1.32-4.76, respectively). Median OS for poor, intermediate, and good LIPI was 3 months (95% CI, 1 month to not reached [NR]), 10 months (95% CI, 8 months to NR), and 34 months (95% CI, 17 months to NR), respectively, and median PFS was 2.0 (95% CI, 1.7-4.0), 3.7 (95% CI, 3.0-4.8), and 6.3 (95% CI, 5.0-8.0) months (both P < .001). Disease control rate was also correlated with dNLR greater than 3 and LDH greater than ULN. Results were reproducible in the ICI validation cohort for OS, PFS, and DCR, but were nonsignificant in the chemotherapy cohort. Pretreatment LIPI, combining dNLR greater than 3 and LDH greater than ULN, was correlated with worse outcomes for ICI, but not for chemotherapy, suggesting that LIPI can serve as a potentially useful tool when selecting ICI treatment, raising the hypothesis that the LIPI might be useful for identifying patients unlikely to benefit from treatment with an ICI.

9050 Background: Host-related inflammatory biomarkers and gut microbiome are two major prognostic factors for non-small cell lung cancer (NSCLC) patients (pts) treated with immune checkpoint inhibitors (ICI). In this study, we aimed to assess an association between the Lung Immune Prognostic Index (LIPI) and the microbiome composition on ICI outcomes in two independent cohorts of NSCLC pts. Methods: We included 205 patients with advanced NSCLC treated with ICI (monotherapy or in combination with chemotherapy) from two independent cohorts. Metagenomics microbiome profiling was performed on the Canadian discovery cohort of 72 pts while 16S rRNA microbiome sequencing was used in the Japanese validation cohort of 133 pts. The LIPI score was calculated using the dNLR (neutrophils/[leucocytes-neutrophils]) and lactate deshydrogenase (LDH). Pts were classified as Good (G: 0 high factor), Intermediate (I: 1 high factor) and Poor (P: 2 high factors). Median overall survival (OS) was estimated using the Kaplan-Meier method. Microbiome diversity indexes and bacterial relative abundances were compared according to LIPI groups. Results: Among the 72 pts included in the discovery cohort, the median follow-up of 20.6 months (mos). The LIPI was distributed as follows: G (n = 31, 43.1%), I (31, 43.1%), P (10, 13.8%) and baseline characteristics were well balanced between the 3 groups. When segregating pts according to LIPI, the OS was 25.6 mo, 19.8 mo, and 5.7 mo in the G, I (HR: 1.71, 95%CI: 0.80-3.65) and P (HR: 3.97, 95%CI: 1.60-9.82) groups, respectively (p = 0.003). The microbiome alpha diversity was lower in the P group compared with the G group (p = 0.03), and there was a trend towards different microbiome composition in beta diversity (p = 0.055) between both groups. Pts in the G group had a favorable microbiome (enriched in Ruminococcus and Anaerostipes), while pts from the P group had an unfavorable microbiome (enriched in Enterobacteriaceae and Clostridium symbiosum and lavalense). Next, in the validation cohort of 133 pts, LIPI was distributed as follows: G (n = 62, 46.6%), I (51, 38.3%), P (20, 15%). Pts with G LIPI had not reached their median OS compared to pts in the I [15.7 mo HR: 1.60 (0.88-2.94)] and P [8.8 mo groups, HR: 2.02 (0.98-4.19)], p = 0.03. Similar to the discovery cohort, at the genus level, G LIPI group had enrichment of Ruminococcus as well as Anaerostipes compared with pts in the P and I groups with an overrepresentation of Hungatella. Conclusions: Host-related inflammatory biomarkers, represented by the LIPI, seemed to be associated with microbiome and ICI outcomes in pts treated with NSCLC. This observation was validated in an external validation cohort. This link could be in relation to the presence of proinflammatory bacteria in pts with poor LIPI.

PurposeTreatment with immune checkpoint inhibitors (ICIs) improves the prognoses of patients with non-small cell lung cancer (NSCLC) but is ineffective in some patients. The lung immune prognostic index (LIPI) can predict response to ICIs treatment in European patients with NSCLC. This study assessed the correlation of LIPI score with outcomes in Chinese patients with advanced NSCLC receiving ICIs.MethodsA total of 305 Chinese patients with advanced NSCLC who received ICIs were ultimately included. LIPI score was determined by a high derived neutrophil-to-lymphocyte ratio (dNLR > 3) and elevated lactate dehydrogenase (LDH) and classified as “good” (0), “intermediate” (1), or “poor” (2). The effects of baseline LIPI on overall survival (OS), progression-free survival (PFS), disease control rate (DCR), and overall response rate (ORR) were analyzed.ResultsThe good LIPI group had better OS (26.0 months, P < 0.0001) and PFS (10.5 months, P < 0.0001) than the other two groups, but the three groups had similar ORR (P = 0.222). DCR was 79%, 65%, and 47% in the good, intermediate, and poor LIPI groups, respectively (P = 0.002). Multivariate analysis indicated that an intermediate LIPI score (HR = 1.56, P = 0.005) and a poor LIPI score (HR = 2.68, P < 0.001) were independent predictors of poor OS. The findings were similar for PFS. DCR had a significant negative correlation with the LIPI score (P = 0.045).ConclusionOur results confirmed that a good LIPI score was related to prolonged survival and better response to ICIs in Chinese patients with advanced NSCLC. The LIPI score might be useful for selecting patients most likely to benefit from ICIs treatment.

Impact of the Lung Immune Prognostic Index in non-small-cell lung cancer patients with PD-L1-low/negative tumors receiving chemoimmunotherapy: a real-world multicenter retrospective study

The lung immune prognostic index (LIPI) has been proposed as a new categorical blood-based biomarker to select advanced non-small cell lung cancer (NSCLC) patients for anti-programmed cell death-1 (PD-1) or programmed death ligand 1 (PD-L1) therapy. In this study, we investigate for the first time to the best of our knowledge the prognostic and predictive utility of the LIPI in a multicenter nivolumab monotherapy-based cohort. We retrospectively analyzed the influence of the baseline LIPI on overall survival (OS), progression-free survival (PFS), disease control rate (DCR), and overall response rate (ORR) among 153 patients of a cohort of 188 advanced NSCLC patients treated with nivolumab in the second line of therapy or beyond. Worse LIPI was significantly associated with shorter OS in univariate [hazard ratio (HR) =3.12, 95% confidence interval (CI), 2.12-4.60; P<0.0001] and multivariate (HR =3.67, 95% CI, 1.96-6.86; P<0.0001) analyses. Worse LIPI was associated with shorter PFS (HR =1.45, 95% CI, 1.05-2.03; P=0.03), but this correlation did not reach statistical significance in multivariate analysis (HR =1.49, 95% CI, 0.94-2.38; P=0.09). Worse LIPI was associated with lower DCR in univariate [odds ratio (OR) =0.41, 95% CI, 0.24-0.70; P=0.001] and multivariate (OR =0.44, 95% CI, 0.25-0.78; P=0.005) analyses. This study confirms the utility of the LIPI in prognostication and disease control prediction in advanced NSCLC patients treated with nivolumab in the second line of therapy or beyond.