Neutrophil-to-Lymphocyte Ratio Is a Major Prognostic Factor in Non-small Cell Lung Carcinoma Patients Undergoing First Line Immunotherapy With Pembrolizumab

Neutrophil-to-Lymphocyte Ratio as a Prognostic Biomarker for Long-Term Survival in Older Adults at a Mental Health Care Center: A Historical Cohort Analysis

Background/Objectives: Identifying reliable biomarkers for healthy aging and longevity is a fundamental challenge in aging research and medical sciences. The neutrophil-to-lymphocyte ratio (NLR) is a readily measurable indicator of immune balance that reflects the interplay between innate immune activation and adaptive immune suppression. Methods: This study examined NLR values in 204 physically healthy residents (98 men and 106 women) stratified into four lifespan categories based on death certificates. Page's test and ordinal regression (Cumulative Link Model) were used to assess trends with longevity. Results: In men, a downward trend in NLR values was observed. In women, a significant age-related decline in NLR was identified, with longer-lived individuals showing notably lower NLR values compared to their shorter-lived counterparts. The findings suggest that lower NLR is associated with longer survival, particularly in older women, reflecting superior immune regulation and reduced systemic inflammation. Conversely, elevated NLR may indicate immune dysfunction and heightened inflammatory burden. Conclusions: The results of this study complement existing findings, reinforcing the critical importance of immune balance in supporting healthy aging and longevity. These findings also underscore the potential of NLR as a robust biomarker for evaluating immune function and anticipating resilience to age-related decline, offering a practical tool for assessing immune health in the aging population.

Prognostic Value of Systemic Immune Inflammation Index in Squamous Cell Lung Cancer

Background/Objectives: Squamous cell lung cancer (SCC) presents a significant treatment challenge due to its poor prognosis and limited therapeutic options. In many resource-limited countries, access to advanced molecular testing is often unavailable, making the identification of novel and reliable prognostic markers crucial for improving patient selection for systemic treatments. Methods: This single-center, retrospective study investigated the prognostic value of inflammatory biomarkers, including the systemic immune-inflammation index (SII), neutrophil-to-lymphocyte ratio (NLR), and platelet-to-lymphocyte ratio (PLR), in 134 patients diagnosed with SCC. Patients were stratified into groups based on optimal cut-off values determined by ROC analysis for each biomarker. Results: Elevated levels of the SII, NLR, and PLR were significantly associated with shorter overall survival in patients with SCC (all p < 0.05). Conclusions: These easily accessible and cost-effective laboratory parameters are particularly valuable in settings where molecular testing is not available, aiding in the identification of high-risk patients and optimizing treatment selection for chemotherapy.

Endotoxin-Free Outer Membrane Vesicles for Safe and Modular Anticancer Immunotherapy

Bacterial outer membrane vesicles (OMVs) have emerged as promising vehicles for anticancer drug delivery due to their inherent tumor tropism, immune-stimulatory properties, and potential for functionalization with therapeutic proteins. Despite their advantages, the high lipopolysaccharide (LPS) endotoxin content in the OMVs raises significant safety and regulatory challenges. In this work, we produce LPS-attenuated and LPS-free OMVs and systematically assess the effects of LPS modification on OMVs' physicochemical characteristics, membrane protein content, immune-stimulatory capacity, tolerability, and anticancer efficacy. Our findings reveal that LPS removal increased the maximal tolerated dose of the OMVs by over 25-fold. When adjusted for comparable safety profiles, LPS-free OMVs exhibit superior anticancer effects compared with wild-type OMVs. Mechanistic investigations indicate that the LPS removal obviates immune cell death caused by LPS and reduces the negatory effects of wild type of OMVs on tumor immune cell infiltrates. We further show the functionality of the LPS-free OMV through the incorporation of an IL-2 variant protein (Neo-2/15). This functionalization augments OMV's ability of the OMV to inhibit tumor growth and promote lymphocyte infiltration into the tumor microenvironment. This study presents a safe and functionalizable OMV with improved translational prospect.

Pretreatment neutrophil-to-lymphocyte ratio is associated with immunotherapy efficacy in patients with advanced cancer: a systematic review and meta-analysis

This study aimed to systematically investigate the value of the pre-treatment neutrophil-to-lymphocyte ratio (NLR) in prognosticating the outcome of patients with advanced cancer receiving immunotherapy. We searched Embase, PubMed, Web of Science, and Cochrane Library to identify studies about cancer patients with immunotherapy until November 29, 2024. Retrospective or prospective cohort studies with pretreatment NLR data were included. The odds ratio (OR) and 95% confidence interval (CI) were calculated to evaluate the predictive value of NLR in prognosis and immunotherapy efficacy. The random effect model was applied for meta-analysis and the risk of bias was assessed by Egger test and the Grading of Recommendations Assessment, Development and Evaluation (GRADE) method. A total of 129 articles involving 18780 cases were finally selected. Most cases were advanced cancers with the median follow-up period ranged 2-48.6 months. The high pretreatment NLR level was associated with the significantly reduced OS (HR (95%CI) = 2.26 (2.03, 2.53)), PFS (HR (95% CI) = 1.83 (1.69, 1.98)), ORR (OR (95%CI) = 0.53 (0.46, 0.61)) and DCR (OR (95% CI) = 0.36 (0.29, 0.43)) in patients with advanced cancer receiving immunotherapy. The quality of evidence was low, attributed to the serious risk of bias and incon¬sistency. An elevated NLR before immunotherapy was significantly associated with poor clinical outcomes in patients with advanced cancer.

Optimizing T cell inflamed signature through a combination biomarker approach for predicting immunotherapy response in NSCLC

The introduction of anti-PD-1/PD-L1 therapies revolutionized treatment for advanced non-small cell lung cancer (NSCLC), yet response rates remain modest, underscoring the need for predictive biomarkers. While a T cell inflamed gene expression profile (GEP) has predicted anti-PD-1 response in various cancers, it failed in a large NSCLC cohort from the Stand Up To Cancer-Mark (SU2C-MARK) Foundation. Re-analysis revealed that while the T cell inflamed GEP alone was not predictive, its performance improved significantly when combined with gene signatures of myeloid cell markers. These additional signatures, however, showed negative contributions to prediction, hinting at immune alterations affecting therapy. Based on this, we proposed a combination biomarker approach that integrates the T cell inflamed GEP with immune-altered signatures, derived from the SU2C-MARK cohort using a machine-learning approach, as novel biomarkers. These signatures consisted of genes highly expressed in myeloid and stromal cells. We then assessed the predictive ability of these combined biomarkers in six independent cancer cohorts treated with anti-PD-1. The combined biomarkers demonstrated enhanced performance in NSCLC and gastric cancer cohorts, but not in melanoma cohorts. Our study introduces new biomarkers for predicting anti-PD-(L)1 response in NSCLC and offers mechanistic insights into treatment efficacy.

Methylation cytometric pretreatment blood immune profiles with tumor mutation burden as prognostic indicators for survival outcomes in head and neck cancer patients on anti-PD-1 therapy

Tissue biomarkers for immune checkpoint inhibitor (ICI) response are limited by tumor sample heterogeneity and availability. This study identifies clinically actionable pretreatment blood biomarkers that are associated with ICI treatment response and survival in recurrent/metastatic head and neck squamous cell carcinoma. A prospective multi-center study enrolled 100 patients before standard-of-care immunotherapy. Blood immune profiles, measured by methylation cytometry, were assessed alongside tumor mutational burden (TMB) and PD-L1 combined proportion score (CPS). TMB and PD-L1 CPS were available for 56 and 91 patients, respectively. High neutrophils, monocytes, and neutrophil-to-lymphocyte ratio were associated with worse survival, while high CD4T cells, especially naïve CD4T cells, and lymphocyte-to-monocyte ratio were associated with better survival. Significant interactions between TMB and peripheral immune profiles for both progression-free and overall survival were found. Clinically relevant pretreatment peripheral immune biomarkers were identified, demonstrating the potential of DNA-based immune profiling to predict ICI response before treatment.

Evaluation of the association between predictive factors and the development of immune-related adverse events and prognostic factors for chemoimmunotherapy in patients with non-small cell lung cancer: A multicenter retrospective study

INTRODUCTION

Chemoimmunotherapy is widely used as the first-line management of advanced non-small cell lung cancer (NSCLC) in clinical settings. However, predictive factors associated with the development of immune-related adverse events (irAEs) and prognostic factors for NSCLC patients undergoing chemoimmunotherapy remains largely unexplored. Therefore, in this study, we aimed to evaluate predictive factors for irAE development and prognostic factors associated with chemoimmunotherapy in NSCLC patients.

METHODS

This study enrolled 199 patients with advanced and recurrent NSCLC who underwent chemoimmunotherapy across eight institutions in Nagano prefecture from December 2018 to January 2023. We examined predictive factors associated with irAE development and prognostic factors associated with overall survival (OS).

RESULTS

Among the patients, 106 experienced irAEs, while 93 patients did not. A total of 44 (22.1%) patients developed multiple irAEs. High serum albumin levels (Alb >3.5 g/dL) emerged as an independent predictive factor associated with irAE development in logistic regression analysis (odds ratio; 2.35, 95% confidence interval 1.27-4.34, p = 0.007). Furthermore, the development of multiple irAEs (p = 0.016), lower lactate dehydrogenase level (<223 U/L, p = 0.002), and decreased neutrophil-to-lymphocyte ratio (<3, p = 0.049) were identified as independent favorable prognostic factors associated with OS in multivariate Cox hazard analyses.

CONCLUSION

The study results suggest that high serum Alb is a predictive factor for irAE development and that the presence of multiple irAEs is a favorable prognostic indicator for NSCLC patients undergoing chemoimmunotherapy.

Checkpoint Inhibition in Addition to Dabrafenib/Trametinib for BRAFV600E-Mutated Anaplastic Thyroid Carcinoma

Background: The dabrafenib plus trametinib combination (DT) has revolutionized the treatment of BRAFV600E-mutated anaplastic thyroid carcinoma (BRAFm-ATC). However, patients eventually develop resistance and progress. Single-agent anti-PD-1 inhibitor spartalizumab has shown a median overall survival (mOS) of 5.9 months. Combination of immunotherapy with BRAF/MEK inhibitors (BRAF/MEKi) seems to improve outcomes compared with BRAF/MEKi alone, although no direct comparison is available. BRAF-targeted therapy before surgery (neoadjuvant approach) has also shown improvement in survival. We studied the efficacy and safety of DT plus pembrolizumab (DTP) compared with current standard-of-care DT alone as an initial treatment, as well as in the neoadjuvant setting. Methods: Retrospective single-center study of patients with BRAFm-ATC treated with first-line BRAF-directed therapy between January 2014 and March 2023. Three groups were evaluated: DT, DTP (pembrolizumab added upfront or at progression), and neoadjuvant (DT before surgery, and pembrolizumab added before or after surgery). The primary endpoint was mOS between DT and DTP. Secondary endpoints included median progression-free survival (mPFS) and response rate with DT versus DTP as initial treatments, and the exploratory endpoint was mOS in the neoadjuvant group. Results: Seventy-one patients were included in the primary analysis: n = 23 in DT and n = 48 in DTP. Baseline demographics were similar between groups, including the presence of metastatic disease at start of treatment (p = 0.427) and prior treatments with surgery (p = 0.864) and radiation (p = 0.678). mOS was significantly longer with DTP (17.0 months [confidence interval CI, 11.9-22.1]) compared with DT alone (9.0 months [CI, 4.5-13.5]), p = 0.037. mPFS was also significantly improved with DTP as the initial treatment (11.0 months [CI, 7.0-15.0]) compared with DT alone (4.0 months [CI, 0.7-7.3]), p = 0.049. Twenty-three patients were in the exploratory neoadjuvant group, where mOS was the longest (63.0 months [CI, 15.5-110.5]). No grade 5 adverse events (AEs) occurred in all three cohorts, and 32.4% had immune-related AEs, most frequently hepatitis and colitis. Conclusions: Our results show that in BRAFm-ATC, addition of pembrolizumab to dabrafenib/trametinib may significantly prolong survival. Surgical resection of the primary tumor after initial BRAF-targeted therapy in selected patients may provide further survival benefit. However, conclusions are limited by the retrospective nature of the study. Additional prospective data are needed to confirm this observation.

Plasmacytoid Dendritic Cell, Slan+-Monocyte and Natural Killer Cell Counts Function as Blood Cell-Based Biomarkers for Predicting Responses to Immune Checkpoint Inhibitor Monotherapy in Non-Small Cell Lung Cancer Patients

The advent of immune checkpoint inhibitors (ICIs), for instance, programmed cell death 1 (PD-1)/PD-1 ligand 1 (PD-L1) blockers, has greatly improved the outcome of patients affected by non-small cell lung cancer (NSCLC). However, most NSCLC patients either do not respond to ICI monotherapy or develop resistance to it after an initial response. Therefore, the identification of biomarkers for predicting the response of patients to ICI monotherapy represents an urgent issue. Great efforts are currently dedicated toward identifying blood-based biomarkers to predict responses to ICI monotherapy. In this study, more commonly utilized blood-based biomarkers, such as the neutrophil-to-lymphocyte ratio (NLR) and the lung immune prognostic index (LIPI) score, as well as the frequency/number and activation status of various types of circulating innate immune cell populations, were evaluated in NSCLC patients at baseline before therapy initiation. The data indicated that, among all the parameters tested, low plasmacytoid dendritic cell (pDC), slan+-monocyte and natural killer cell counts, as well as a high LIPI score and elevated PD-L1 expression levels on type 1 conventional DCs (cDC1s), were independently correlated with a negative response to ICI therapy in NSCLC patients. The results from this study suggest that the evaluation of innate immune cell numbers and phenotypes may provide novel and promising predictive biomarkers for ICI monotherapy in NSCLC patients.

Prognostic Factors in Advanced Non-Small Cell Lung Cancer Patients Treated with Immunotherapy

Taking into account the huge epidemiologic impact of lung cancer (in 2020, lung cancer accounted for 2,206,771 of the cases and for 1,796,144 of the cancer-related deaths, representing the second most common cancer in female patients, the most common cancer in male patients, and the second most common cancer in male and female patients) and the current lack of recommendations in terms of prognostic factors for patients selection and management, this article aims to provide an overview of the current landscape in terms of currently available immunotherapy treatments and the most promising assessed prognostic biomarkers, highlighting the current state-of-the-art and hinting at future challenges.

Using the neutrophil-to-lymphocyte ratio to predict the outcome of individuals with nonsquamous non-small cell lung cancer receiving pembrolizumab plus platinum and pemetrexed

BACKGROUND

Factors predicting the response to pembrolizumab plus platinum and pemetrexed combination therapy (Pemb-Plt-PEM) in nonsquamous non-small cell lung cancer (non-sq NSCLC) are unclear. We investigated the Glasgow Prognostic (GP) score, neutrophil-to-lymphocyte ratio (NLR), and body mass index (BMI) as predictors of response to initial treatment with combination therapy in individuals with advanced non-sq NSCLC.

METHODS

We retrospectively reviewed 236 patients who received initial treatment with combination therapy for non-sq NSCLC at 13 institutions between December 2018 and December 2020. The usefulness of the GP score, NLR, and BMI as prognostic indicators was assessed. Cox proportional hazard models and the Kaplan-Meier method were used to compare progression-free survival (PFS) and overall survival (OS).

RESULTS

The response rate was 51.2% (95% CI: 44.9-57.5%). The median PFS and OS after beginning Pemb-Plt-PEM were 8.8 (95% CI: 7.0-11.9) months and 23.6 (95% CI: 18.7-28.6) months, respectively. The NLR independently predicted the efficacy of Pemb-Plt-PEM-the PFS and OS were more prolonged in individuals with NLR <5 than in those with NLR ≥5 (PFS: 12.8 vs. 5.3 months, p = 0.0002; OS: 29.4 vs. 12.0 months, p < 0.0001). BMI predicted the treatment response-individuals with BMI ≥22.0 kg/m2 had longer OS than did those with BMI < 22.0 kg/m2 (OS: 28.4 vs. 18.4 months, p = 0.0086).

CONCLUSIONS

The NLR significantly predicted PFS and OS, whereas BMI predicted OS, in individuals who initially received Pemb-Plt-PEM for non-sq NSCLC. These factors might be prognosis predictors in non-sq NSCLC.

Low neutrophil-to-lymphocyte ratio predicts overall survival benefit in advanced NSCLC patients with low PD-L1 expression and receiving chemoimmunotherapy

Although combination therapy including chemotherapy and immune checkpoint inhibitors (ICIs) improves overall survival (OS) of patients with non-small-cell lung cancer (NSCLC), there is a higher incidence of adverse events and treatment discontinuation. Since programmed death-ligand 1 (PD-L1) could not serve as a predictive biomarker, we investigated the neutrophil-to-lymphocyte ratio (NLR) as a predictive biomarker. In our previous research, we demonstrated that a low NLR could predict survival benefits when patients with high PD-L1 expression (> 50%) received chemoimmunotherapy as opposed to immunotherapy alone. In this current study, our objective is to evaluate this predictive capacity in patients with low PD-L1 expression (< 50%). A total of 142 patients were enrolled, 28 receiving combination therapy and 114 receiving chemotherapy alone. Progression-free survival (PFS) and OS were estimated using the Kaplan-Meier method and compared using the log-rank test. Patients who received combination therapy had significantly better PFS and OS than those who received monotherapy. In the subgroup of patients with low NLR, those who received combination therapy exhibited extended PFS and OS with clinical significance, which was also confirmed by multivariate Cox regression analysis. Our study demonstrates the potential use of NLR as a biomarker for predicting survival benefits when receiving combination therapy with chemotherapy and ICIs in patients with advanced NSCLC and low PD-L1 expression.

Prognostic Potential of the Prognostic Nutritional Index in Non-Small Cell Lung Cancer Patients Receiving Pembrolizumab Combination Therapy with Carboplatin and Paclitaxel/Nab-Paclitaxel

INTRODUCTION

Pembrolizumab (Pemb) therapy in conjunction with carboplatin and paclitaxel (PTX)/nab-PTX has been efficacious in treating non-small cell lung cancer (NSCLC). However, the response predictors of this combination therapy (Pemb-combination) remain undetermined. We aimed to evaluate whether Glasgow prognostic score (GPS), neutrophil-to-lymphocyte ratio (NLR), body mass index (BMI), platelet-to-lymphocyte ratio (PLR), and prognostic nutritional index (PNI) are potential factors in prognosticating the response to Pemb-combination therapy in advanced NSCLC patients.

METHODS

We retrospectively recruited 144 NSCLC patients receiving first-line treatment with Pemb-combination therapy from 13 institutions between December 1, 2018, and December 31, 2020. GPS, NLR, BMI, PLR, and PNI were assessed for their efficacy as prognostic indicators. Cox proportional hazard models and the Kaplan-Meier method were used to compare the progression-free survival (PFS) and overall survival (OS) of the patients.

RESULTS

The treatment exhibited a response rate of 63.1% (95% confidence interval [CI]: 55.0-70.6%). Following Pemb-combination administration, the median PFS and OS were 7.3 (95% CI: 5.3-9.4) and 16.5 (95% CI: 13.9-22.1) months, respectively. Contrary to PNI, NLR, GPS, BMI, and PLR did not display substantially different PFS in univariate analysis. However, multivariate analysis did not identify PNI as an independent prognostic factor for PFS. Furthermore, univariate analysis revealed that GPS, BMI, and PLR exhibited similar values for OS but not NLR and PNI. Patients with PNI ≥45 were predicted to have better OS than those with PNI <45 (OS: 23.4 and 13.9 months, respectively, p = 0.0028). Multivariate analysis did not establish NLR as an independent prognostic factor for OS.

CONCLUSION

The PNI evidently predicted OS in NSCLC patients treated with Pemb-combination as first-line therapy, thereby validating its efficiency as a prognostic indicator of NSCLC.