Neutrophil to Lymphocyte Ratio as a Prognostic Factor in European Patients with Epidermal Growth Factor Receptor-Mutant Non-Small Cell Lung Cancer Treated with Tyrosine Kinase Inhibitors

Association of systemic inflammatory markers with prognosis in erlotinib-treated EGFR-mutant non-small cell lung cancer

BACKGROUND

To evaluate the relationship of overall survival (OS) and progression-free survival (PFS) with the derived neutrophil-lymphocyte ratio (dNLR), neutrophil-lymphocyte ratio (NLR), lymphocyte-monocyte ratio (LMR), and platelet-lymphocyte ratio (PLR) in patients with epidermal growth factor receptor (EGFR)-mutant non-small cell lung cancer (NSCLC).

METHODS

The study included 43 patients with EGFR-mutant metastatic NSCLC. The dNLR, NLR, LMR, and PLR values were calculated using the baseline complete blood counts before and after treatment with erlotinib.

RESULTS

The NLR value had the best diagnostic test performance with a sensitivity of 91.3%. dNLR, NLR, LMR, and PLR were found to be significant for the prediction of OS and PFS. While the delta dNLR and NLR values were significant for OS, only the delta NLR value was significant for PFS.

CONCLUSIONS

The dNLR, NLR, LMR, and PLR values were found to be significant in the prediction of OS and PFS in erlotinib-treated metastatic NSCLC. Further clinical studies are needed to determine the ideal target-specific tyrosine kinase inhibitor in cases of metastatic NSCLC presenting with the EGFR-activating mutation.

Integrated circulating tumour DNA and cytokine analysis for therapy monitoring of ALK-rearranged lung adenocarcinoma

BACKGROUND

Detection of circulating tumour DNA (ctDNA) in biological fluids is a minimally invasive alternative to tissue biopsy for therapy monitoring. Cytokines are released in the tumour microenvironment to influence inflammation and tumorigenic mechanisms. Here, we investigated the potential biomarker utility of circulating cytokines vis-à-vis ctDNA in ALK-rearranged+ lung adenocarcinoma (ALK + NSCLC) and explored the optimal combination of molecular parameters that could indicate disease progression.

METHODS

Longitudinal serum samples (n = 296) were collected from ALK + NSCLC patients (n = 38) under tyrosine kinase inhibitor (TKI) therapy and assayed to quantify eight cytokines: IFN-γ, IL-1β, IL-6, IL-8, IL-10, IL-12p70, MCP1 and TNF-α. Generalised linear mixed-effect modelling was performed to test the performance of different combinations of cytokines and previously determined ctDNA parameters in identifying progressive disease.

RESULTS

Serum IL-6, IL-8 and IL-10 were elevated at progressive disease, with IL-8 having the most significant impact as a biomarker. Integrating changes in IL-8 with ctDNA parameters maximised the performance of the classifiers in identifying disease progression, but this did not significantly outperform the model based on ctDNA alone.

CONCLUSIONS

Serum cytokine levels are potential disease progression markers in ALK + NSCLC. Further validation in a larger and prospective cohort is necessary to determine whether the addition of cytokine evaluation could improve current tumour monitoring modalities in the clinical setting.

Differential early diagnosis of benign versus malignant lung cancer using systematic pathway flux analysis of peripheral blood leukocytes

Early diagnosis of lung cancer is critically important to reduce disease severity and improve overall survival. Newer, minimally invasive biopsy procedures often fail to provide adequate specimens for accurate tumor subtyping or staging which is necessary to inform appropriate use of molecular targeted therapies and immune checkpoint inhibitors. Thus newer approaches to diagnosis and staging in early lung cancer are needed. This exploratory pilot study obtained peripheral blood samples from 139 individuals with clinically evident pulmonary nodules (benign and malignant), as well as ten healthy persons. They were divided into three cohorts: original cohort (n = 99), control cohort (n = 10), and validation cohort (n = 40). Average RNAseq sequencing of leukocytes in these samples were conducted. Subsequently, data was integrated into artificial intelligence (AI)-based computational approach with system-wide gene expression technology to develop a rapid, effective, non-invasive immune index for early diagnosis of lung cancer. An immune-related index system, IM-Index, was defined and validated for the diagnostic application. IM-Index was applied to assess the malignancies of pulmonary nodules of 109 participants (original + control cohorts) with high accuracy (AUC: 0.822 [95% CI: 0.75-0.91, p < 0.001]), and to differentiate between phases of cancer immunoediting concept (odds ratio: 1.17 [95% CI: 1.1-1.25, p < 0.001]). The predictive ability of IM-Index was validated in a validation cohort with a AUC: 0.883 (95% CI: 0.73-1.00, p < 0.001). The difference between molecular mechanisms of adenocarcinoma and squamous carcinoma histology was also determined via the IM-Index (OR: 1.2 [95% CI 1.14-1.35, p = 0.019]). In addition, a structural metabolic behavior pattern and signaling property in host immunity were found (bonferroni correction, p = 1.32e - 16). Taken together our findings indicate that this AI-based approach may be used for "Super Early" cancer diagnosis and amend the current immunotherpay for lung cancer.

The Pan-Immune-Inflammation Value predicts the survival of patients with anaplastic lymphoma kinase-positive non-small cell lung cancer treated with first-line ALK inhibitor

BACKGROUND

Anaplastic lymphoma kinase (ALK) tyrosine kinase inhibitors (TKIs) have significantly improved the clinical outcomes of patients with ALK-positive non-small cell lung cancer (NSCLC). However, reliable biomarkers to predict the prognostic role of this treatment are lacking. The Pan-Immune-Inflammation Value (PIV) has recently been demonstrated as a novel comprehensive biomarker to predict survival of patients with solid tumors. Our study aimed to evaluate the prognostic power of PIV in this group of patients.

PATIENTS AND METHODS

94 patients with advanced ALK-positive NSCLC who received first-line ALK inhibitors were enrolled in this study. PIV was calculated as the product of peripheral blood neutrophil, monocyte, and platelet counts divided by lymphocyte count. Kaplan-Meier method and Cox hazard regression models were used for survival analyses.

RESULTS

The 1-year progression-free survival (PFS) was 63.5%, and the 5-year overall survival (OS) rate was 55.1%. Patients with higher PIV, neutrophil-to-lymphocyte ratio (NLR), platelet-to-lymphocyte ratio (PLR), and systemic immune inflammation index (SII) had worse PFS in univariate analysis, but only the PIV (hazard ratio [HR] = 2.90, 95% confidence interval [CI]: 1.79-4.70, p < 0.001) was an independent prognostic factor in multivariate analysis. Similarly, patients with higher PIV, NLR, PLR, and SII had a worse OS in the univariate analysis, but only the PIV (HR = 4.70, 95% CI: 2.00-11.02, p < 0.001) was significantly associated with worse OS in multivariate analysis.

CONCLUSION

PIV is a comprehensive and convenient predictor of both PFS and OS in patients with ALK-positive advanced NSCLC who received first-line ALK TKIs. Prospective clinical trials are required to validate the value of this new parameter.

Neutrophil-to-Lymphocyte Ratio Is a Predictive Biomarker in Patients with Epidermal Growth Factor Receptor (EGFR) Mutated Advanced Non-Small Cell Lung Cancer (NSCLC) Treated with Tyrosine Kinase Inhibitor (TKI) Therapy

BACKGROUND

First-line treatment for patients with non-small cell lung cancer (NSCLC) with a sensitizing epidermal growth factor receptor (EGFR) mutation is a tyrosine kinase inhibitor (TKI). Despite higher response rates and prolonged progression free survival (PFS) compared with platinum doublet chemotherapy, a subset of these patients do not receive prolonged benefit from these agents. We investigate if the neutrophil-to-lymphocyte ratio (NLR) and other markers of cachexia and chronic inflammation correlate with worse outcomes in these patients.

METHODS

This study is a retrospective review of 137 patients with advanced EGFR-mutated NSCLC treated with TKIs at Rush University Medical Center and University of Chicago Medicine from August 2011 to July 2019, with outcomes followed through July 2020. The predictive value of NLR and body mass index (BMI) was assessed at the start of therapy, and after 6 and 12 weeks of treatment by univariable and multivariable analyses.

RESULTS

On univariable analysis, NLR ≥ 5 or higher NLR on a continuous scale were both associated with significantly worse PFS and overall survival (OS) at treatment initiation, and after 6 or 12 weeks of treatment. On multivariable analysis, NLR ≥ 5 was associated with increased risk of death at 12 weeks of therapy (HR 3.002, 95% CI 1.282-7.029, p = 0.011), as was higher NLR on a continuous scale (HR 1.231, 95% CI 1.063-1.425, p = 0.0054). There was no difference in PFS and OS and amongst BMI categories though number of disease sites and Eastern Cooperative Oncology Group (ECOG) performance status was associated with worse PFS and OS.

CONCLUSIONS

Patients with NLR ≥ 5 have a worse median PFS and median OS than patients with NLR < 5. NLR may have value as a predictive biomarker and may be useful for selecting patients for therapy intensification in the front-line setting either at diagnosis or after 12 weeks on therapy. NLR needs to be validated prospectively.

Hematological parameters in EGFR-mutated advanced NSCLC patients treated with TKIs: predicting survival and toxicity

Background: The aim of this study was to analyze the prognostic value of pre-treatment hematological parameters in EGFR-mutated non-small cell lung cancer patients treated with tyrosine-kinase inhibitors (TKIs).Patients and methods: Patients with EGFR mutations were treated with EGFR-TKIs in the first line until progression/unacceptable toxicity. Hematological parameters were derived from the absolute baseline differential counts of a complete blood count. The associations between the patients' and tumor characteristics were analyzed using Pearson Chi-Square, Fisher's exact, t-test, and Mann-Whitney tests. Cutoff values were determined using ROC curves, and correlation with survival was examined by Kaplan-Meier method and Cox regression.Results: Patients with NMR<12.62 had a longer PFS compared to patients with higher NMR values (12.0 vs. 10.0 months, p = 0.054) and a significantly longer OS (20.0 vs. 11.0 months, p = 0.010). The same parameter was confirmed as a predictors of favorable response in the patient subgroup with activating EGFR mutations. Patients with NLR>2.9 and LMR<2.5 more often presented with paronichia and diarrhea, and patients with PLR>190 more often had paronichia, diarrhea and hyperbilirubinemia.Conclusion: Low baseline value of the hematological parameter NMR has shown potential as a routine, low-cost, and minimally invasive predictor of survival in EGFR-TKI-treated NSCLC patients.

Neutrophil-Lymphocyte Ratio as a Prognostic Parameter in NSCLC Patients Receiving EGFR-TKIs: A Systematic Review and Meta-Analysis

OBJECTIVE

To research the impact of neutrophil-lymphocyte ratio (NLR) as a prognostic parameter in non-small-cell lung cancer (NSCLC) patients treated with epidermal growth factor receptor tyrosine kinase inhibitors (EGFR-TKIs).

METHODS

We searched the databases such as the American Society of Clinical Oncology (ASCO), EMBASE, PubMed, the European Society of Medical Oncology (ESMO), Wanfang, and CNKI for articles illustrating the impact of pretreatment NLR on survival data in NSCLC patients undergoing EGFR-TKIs treatment. We did a meta-analysis for overall survival (OS) and progression-free survival (PFS).

RESULTS

We recruited 10 studies in our meta-analysis. Our study suggested that patients with low NLR had better PFS (hazard ratio (HR) = 1.67, 95% confidence interval (CI) = (1.16-2.39), and P value = 0.005) and OS (HR = 1.66, 95% CI = (1.08-2.55), and P value = 0.02) in comparison to patients with high NLR.

CONCLUSION

In conclusion, our meta-analysis revealed that lower NLR predicted a better survival (PFS and OS) in patients receiving the treatment of EGFR-TKIs.

Systemic Inflammatory Markers of Survival in Epidermal Growth Factor-Mutated Non-Small-Cell Lung Cancer: Single-Institution Analysis, Systematic Review, and Meta-analysis

BACKGROUND

Systemic inflammatory response (SIR) may influence prognosis in epidermal growth factor receptor (EGFR)-mutated (m) non-small-cell lung cancer (NSCLC). Pretreatment SIR markers (neutrophil-to-lymphocyte ratio [NLR], platelet-to-lymphocyte ratio, lymphocyte-to-monocyte ratio [LMR], lactate dehydrogenase [LDH], and lung immune prognostic index [LIPI]) were assessed as prognostic factors in NSCLC survival.

PATIENTS AND METHODS

Retrospective survival analysis (overall survival [OS] and progression-free survival [PFS]) of EGFR-mutated NSCLC patients at Princess Margaret Cancer Centre were performed separately for early (I-IIIa) and late (IIIb-IV) stage disease for individual SIR variables, dichotomized by optimal cutoff points by Kaplan-Meier survival analysis and multivariable Cox proportional hazard modeling. A systematic review and meta-analysis of known SIR studies in patients with late-stage EGFR-mutated were also performed.

RESULTS

From 2012 to 2019, in 530 patients, significant adjusted hazard ratios (aHR) for OS comparing high versus low NLR were 2.12 for early stage and 1.79 for late stage disease. Additionally, late stage cohorts had significant associations, as follows: high versus low derived NLR, aHR = 1.53; LMR, aHR = 0.62; LDH, aHR = 2.04; and LIPI, aHR = 2.04. Similar patterns were found for PFS in early stage NLR (aHR = 1.96) and late stage NLR (aHR = 1.46), while for PFS, only late stage derived NLR (aHR = 1.34), LDH (aHR = 1.75), and LIPI (aHR = 1.66) were significant. A meta-analysis confirmed that NLR, LMR, LDH, and LIPI were all significantly associated with OS and PFS in the late stage.

CONCLUSION

This primary study and meta-analysis demonstrated that LMR and LDH were significantly associated with late stage EGFR-mutated NSCLC outcomes, and the LIPI scoring system was prognostic. NLR remained an independent prognostic factor across all stages and could represent an early marker of immuno-oncology interactions.

Longitudinal Tumor Size and Neutrophil-to-Lymphocyte Ratio Are Prognostic Biomarkers for Overall Survival in Patients With Advanced Non-Small Cell Lung Cancer Treated With Durvalumab

Therapy optimization remains an important challenge in the treatment of advanced non-small cell lung cancer (NSCLC). We investigated tumor size (sum of the longest diameters (SLD) of target lesions) and neutrophil-to-lymphocyte ratio (NLR) as longitudinal biomarkers for survival prediction. Data sets from 335 patients with NSCLC from study NCT02087423 and 202 patients with NSCLC from study NCT01693562 of durvalumab were used for model qualification and validation, respectively. Nonlinear Bayesian joint models were designed to assess the impact of longitudinal measurements of SLD and NLR on patient subgrouping (by Response Evaluation Criteria in Solid Tumors 1.1 criteria at 3 months after therapy start), long-term survival, and precision of survival predictions. Various validation scenarios were investigated. We determined a more distinct patient subgrouping and a substantial increase in the precision of survival estimates after the incorporation of longitudinal measurements. The highest performance was achieved using a multivariate SLD and NLR model, which enabled predictions of NSCLC clinical outcomes.

Pretreatment neutrophil-to-lymphocyte ratio predicts treatment efficacy and prognosis of cytotoxic anticancer drugs, molecular targeted drugs, and immune checkpoint inhibitors in patients with advanced non-small cell lung cancer

Background

Neutrophil-to-lymphocyte ratio (NLR) has recently attracted attention as a prognostic predictor in patients with non-small cell lung cancer (NSCLC) who receive immune checkpoint inhibitors (ICIs). However, the utility of NLR in relation to cytotoxic anticancer drugs or molecular targeted drugs remains unclear. We determined if NLR could predict the treatment efficacy and prognosis in NSCLC patients who receive cytotoxic anticancer drugs or molecular targeted drugs, as well as ICIs, in a cross-sectional manner.

Methods

Of 658 patients with advanced NSCLC who received first-line systemic treatment in our hospital between 2008 and 2019, 312 who met the analytical criteria were included in the study. We retrospectively analyzed the ability of NLR with a cut-off value of 5 to predict time to treatment failure (TTF) and overall survival (OS) in patients who received the following treatments: first-line treatment with molecular targeted drugs (mt group, n=100); first-line treatment with cytotoxic anticancer drugs (wt group, n=212); and first-line treatment with cytotoxic anticancer drugs followed by ICIs (ICI group, n=58).

Results

In the high- and low-NLR mt subgroups, median TTFs were 6.7 and 14.9 months (P<0.01), respectively, and median survival times (MSTs) were 17.8 and 39.1 months (P<0.01), respectively. In the high- and low-NLR wt subgroups, median TTFs were 1.5 and 5.8 months (P<0.01), and MSTs were 6.3 and 20.7 months (P<0.01), respectively. In the high- and low-NLR ICI subgroups, median TTFs were 1.3 and 6.8 months (P<0.01), and MSTs were 9.2 and 25.8 months (P<0.01), respectively. Multivariate analysis identified NLR as a significant independent predictor of TTF [hazard ratio (HR) 1.89, P=0.01; HR 2.51, P<0.01; and HR 5.06, P<0.01 in the mt, wt, and ICI groups, respectively) and OS (HR 3.81, P<0.01; HR 2.59, P<0.01; and HR 2.48, P<0.01, respectively).

Conclusions

This study showed that NLR might be a predictor of treatment efficacy and prognosis in advanced NSCLC patients who receive various systemic treatments. This finding of consistent applicability of NLR to a wide variety of systemic treatments is of great significance.

High fibrinogen-albumin ratio index predicts poor prognosis for lung adenocarcinoma patients undergoing epidermal growth factor receptor-tyrosine kinase inhibitor treatments

Epidermal growth factor receptor-tyrosine kinase inhibitor (EGFR-TKIs) have become the preferred therapy as first-line treatment of non-small cell lung cancer patients harboring sensitizing EGFR mutations. However, the prognostic indicators are limited. The present study aimed to assess the prognostic value of immune-inflammation factors, fibrinogen-albumin ratio index (FARI), neutrophil to lymphocyte ratio (NLR), and platelet to lymphocyte ratio (PLR) in EGFR-Mutant lung adenocarcinoma patients receiving first-generation EGFR-TKIs treatment.194 patients were included in this retrospective analysis. FARI was calculated as fibrinogen / albumin. Receiver operating characteristic curve was used to evaluate the optimal cut-off value for FARI, NLR, and PLR to progression free survival (PFS). Univariate and multivariate survival analysis were performed to identify factors correlated with PFS and overall survival (OS).Applying cut-offs of ≥0.08 (FARI), ≥3.28 (NLR), and ≥273.85 (PLR), higher FARI or NLR was associated with worse Eastern Cooperative Oncology Group performance status (ECOG PS) (P = .018, .002, respectively), and there were more males in high NLR group (P = .043). In univariate analysis, ECOG PS status, NLR, PLR, and FARI were significantly associated with PFS (P = .017, .004, <.001, .001, respectively) as well as OS (P < .001, = .001, .002, .023, respectively). In multivariate analysis, PLR (hazard ratios [HR] 1.692; 95% CI 1.054-2.715; P = .029) and FARI (HR 1.496; 95% CI 1.031-2.172; P = .034) were independent prognostic factors for PFS. While only ECOG PS status (HR 2.052; 95% CI 1.272-3.310; P = .003) was independently correlated with OS.FARI is independently associated with PFS in EGFR-Mutant lung adenocarcinoma patients receiving first-line EGFR-TKIs treatment.

Prognostic significance of the neutrophil-to-lymphocyte ratio with distal cholangiocarcinoma patients

BACKGROUND

The present study aimed to investigate the prognostic value of the neutrophil-to-lymphocyte ratio (NLR) in distal cholangiocarcinoma (DCC) following radical surgery.

METHODS

The clinicopathological data of 59 patients with DCC were retrospectively reviewed. Patients were treated by radical surgery and diagnosed by postoperative pathology at the Second Affiliated Hospital of Kunming Medical University (Yunnan, China), between July 2015 and December 2017. The optimal cut-off value for the NLR was determined by generating receiver operating characteristic (ROC) curves. Kaplan-Meier survival analysis and Cox proportional hazards models were used to determine the risk factors and independent risk factors influencing the prognosis of patients with DCC.

RESULTS

According to the ROC curve, the optimal cut-off value for the NLR was 2.933. The results of Kaplan-Meier survival analysis and the Cox proportional hazards model showed that carbohydrate antigen 125, NLR, perineural, vascular and fat invasion, regional lymph node metastasis, and the American Joint Committee on Cancer stage were risk factors for DCC; the only independent risk factor to affect the prognosis of DCC patients was the NLR.

CONCLUSIONS

The preoperative NLR plays an important guiding role in evaluating the prognosis of patients with DCC, and an increase in the NLR is associated with poor patient prognosis.

Glasgow prognostic score predicts efficacy and prognosis in patients with advanced non-small cell lung cancer receiving EGFR-TKI treatment

Background

Lung cancer is the leading cause of cancer‐related deaths. Although epidermal growth factor receptor tyrosine kinase inhibitors (EGFR‐TKIs) are effective for advanced non‐small cell lung cancer (NSCLC) harboring EGFR mutations, some patients experience little or no response. The Glasgow prognostic score (GPS) is an inflammation‐related score based on C‐reactive protein (CRP) and albumin concentrations, and has prognostic value in various cancer settings. This study aimed to evaluate whether GPS could predict response of NSCLC to EGFR‐TKIs.

Methods

This retrospective multicenter study evaluated patients with NSCLC harboring EGFR mutations who received EGFR‐TKI monotherapy from October 2006 to December 2016. GPS values were determined using CRP and albumin concentrations from before initiation of EGFR‐TKIs. The Kaplan‐Meier method and Cox proportional hazard models were used to evaluate progression‐free survival (PFS) and overall survival (OS).

Results

In 214 patients, 141, 43, and two patients had GPS values of 0, 1, and 2, respectively. The GPS independently predicted the efficacy of EGFR‐TKIs; good GPS (0–1) conferred significantly better PFS (hazard ratio [HR]: 0.59, 95% confidence interval [CI]: 0.38–0.96, P = 0.03) and OS (HR: 0.56, 95% CI: 0.33–0.96, P = 0.03). Multivariate analysis confirmed that a good GPS (0–1) independently predicted good PFS and OS among patients who had PS of 0–1. Good GPS (0–1) independently predicted good OS among patients receiving treatment in first‐line settings.

Conclusions

The GPS independently predicted the efficacy of EGFR‐TKIs for EGFR‐mutated NSCLC; however, further studies are needed to validate our findings.

Key points

Significant findings of the study

Glasgow prognostic score (GPS) independently predicted the efficacy of epidermal growth factor receptor tyrosine kinase inhibitors (EGFR‐TKIs) treatment for EGFR‐mutated NSCLC.

What this study adds

The findings presented in this paper will help to identify patients who will be expected to experience limited or no response to EGFR‐TKI treatment by using GPS.

Prognostic Significance Of Platelet-To-Lymphocyte Ratio (PLR) And Mean Platelet Volume (MPV) During Etoposide-Based First-Line Treatment In Small Cell Lung Cancer Patients

Background

Small cell lung cancer (SCLC) is a special type of lung cancer and it is responsive to chemotherapy. Blood parameters have been proved to be associated with survival for many types of malignancies. This study aimed to investigate the prognostic significance of platelet-to-lymphocyte ratio (PLR) and mean platelet volume (MPV) for SCLC patients with etoposide-based first-line treatment.

Methods

We retrospectively identified 138 patients diagnosed as SCLC who underwent etoposide-based first-line chemotherapy. The patients’ baseline clinical characteristics and blood parameters were collected. Kaplan–Meier analysis and Cox regression methods were used to determine the factors associated with progression-free survival (PFS).

Results

The optimal cut-off value of diagnosis was depended on the ROC curve, the cut-off value of pretreatment PLR was 190 (sensitivity 39.0%, specificity 88.5%), and the cut-off value of pretreatment MPV was 10.0 (sensitivity 60.7%, specificity 61%). Kaplan–Meier analysis showed patients with high PLR levels in baseline had worse PFS than those with low PLR levels (P <0.001). Multivariate analysis revealed pretreatment MPV was an independent prognostic factor for PFS (HR: 0.815, 95% CI: 0.711–0.933, P =0.003). Further research suggested continuous high PLR indicated a poor therapy outcome (P =0.002).

Conclusion

Pretreatment MPV can be an independent predictor for first-line treatment outcome and a continuously high level of PLR suggested inferior PFS in etoposide-treated SCLC patients.

High systemic immune-inflammation index predicts poor prognosis in advanced lung adenocarcinoma patients treated with EGFR-TKIs

EGFR-TKIs have been widely used in the first-line treatment of NSCLC patients harboring EGFR mutations. However, the prognosis indicators are limited. In the present study, the prognostic value of systemic immune-inflammation index (SII), neutrophil to lymphocyte ratio (NLR), and platelet to lymphocyte ratio (PLR) were assessed in EGFR-Mutant lung adenocarcinoma patients treated with first-generation EGFR-TKIs. Two hundred three patients were included in this retrospective analysis. SII was calculated as platelet counts × neutrophil counts / lymphocyte counts. Receiver operating characteristic (ROC) curve was used to evaluate the optimal cut-off value for SII, NLR, and PLR. Univariate and multivariate survival analysis were performed to identify factors correlated with PFS and OS. Applying cut-offs of ≥1066.935 (SII), ≥4.40 (NLR), and ≥182.595 (PLR), higher NLR was associated with worse Eastern Cooperative Oncology Group performance status (ECOG PS) (P = .006), and higher brain metastasis rate (P = .03), higher PLR was associated with smoking history (P = .037), and worse ECOG PS (P = .001), and higher SII groups were associated with worse ECOG PS (P = .002). In univariate analysis, higher NLR (P < .001), higher PLR (P = .002), and higher SII (P < .001) were associated with worse PFS. Higher NLR (P < .001), and higher SII (P < .001) were associated with worse OS. In multivariate analysis, NLR (HR 1.736;95%CI:1.020-2.954; P = .03), PLR (HR 1.823; 95%CI:1.059-3.137; P = .04), and SII (HR2.577; 95%CI:1.677-3.958; P < .001) were independently correlated with PFS. While only SII (HR 2.802; 95%CI:1.659-4.733; P < .001) was independently correlated with OS. The present study demonstrated that SII is an independent prognostic factor for poor survival of advanced EGFR-Mutant lung adenocarcinoma patients treated with first-generation TKIs.

Prognostic role of pretreatment neutrophil-to-lymphocyte ratio in non-small cell lung cancer patients treated with systemic therapy: a meta-analysis

Background

Neutrophil-to-lymphocyte ratio (NLR) is related to prognosis in non-small cell lung cancer (NSCLC). However, no consensus on the relationship of pretreatment NLR and survival outcomes of systemic therapy in NSCLC exists. This meta-analysis investigated the prognostic role of pretreatment NLR during systemic therapy for NSCLC, including chemotherapy, immunotherapy and targeted therapy.

Methods

PubMed, Web of Science and Cochrane Library databases were systematically searched up to April 09, 2019. Hazard ratios (HRs) with their 95% confidence intervals (CIs) were pooled to investigate the association of pretreatment NLR with progression-free survival (PFS) and overall survival (OS).

Results

In total, 27 articles with 4,298 participants were selected. The pooled results showed that elevated pretreatment NLR was associated with inferior PFS (HR, 1.45, 95% CI, 1.28-1.66) and OS (HR, 1.63, 95% CI, 1.43-1.84) during systemic therapy. Subgroup analyses according to the treatment strategy suggested that higher pretreatment NLR was significantly associated with shorter survival in all therapies, including chemotherapy (PFS HR, 1.74, 95% CI, 1.39-2.17; OS HR, 1.73, 95% CI, 1.26-2.36), immunotherapy (PFS HR, 1.53, 95% CI, 1.27-1.84; OS HR, 2.50, 95% CI, 1.60-3.89) and targeted therapy (PFS HR, 1.53, 95% CI, 1.04-2.25; OS HR, 1.92, 95% CI, 1.14-3.24).

Conclusions

Pretreatment NLR is a promising prognostic indicator for NSCLC patients receiving systemic therapy, including chemotherapy, immunotherapy and targeted therapy.