Cancer-related inflammation as predicting tool for treatment outcome in locally advanced and metastatic non-small cell lung cancer

Pre-Operative Measures of Systemic Inflammation Predict Survival After Surgery for Primary Lung Cancer

BACKGROUND

Measures of systemic inflammation (MSIs) have been developed and shown to help predict prognosis in patients with lung cancer. However, studies investigating the impact of MSIs on outcomes solely in cohorts of patients undergoing curative-intent resection of NSCLC are lacking. In the era of individualized therapies, targeting inflammatory pathways could represent a novel addition to the armamentarium of lung cancer treatment.

METHODS

A multicentre retrospective review of patients who underwent primary lung cancer resection between 2012 and 2018 was undertaken. MSIs assessed were neutrophil to lymphocyte ratio (NLR), platelet to lymphocyte ratio (PLR), systemic immune inflammation index (SII), advanced lung cancer inflammation index (ALI), prognostic nutritional index (PNI) and haemoglobin albumin lymphocyte platelet (HALP) score. Cox regression analysis was performed to assess the impact of MSIs on overall survival.

RESULTS

A total of 5029 patients were included in the study. Overall 90-day mortality was 3.7% (n = 185). All MSIs were significantly associated with overall survival on univariable analysis. After multivariable Cox regression analyses, lower ALI (expressed as a continuous variable) (HR 1.000, 95% CI 1.000-1.000, P = .049) and ALI <366.43 (expressed as a dichotomous variable) (HR 1.362, 95% CI 1.137-1.631, P < .001) remained independently associated with reduced overall survival.

CONCLUSIONS

MSIs have emerged in this study as potentially important factors associated with survival following lung resection for NSCLC with curative intent. In particular, ALI has emerged as independently associated with long-term outcomes. The role of MSIs in the clinical management of patients with primary lung cancer requires further investigation.

Pre-treatment systemic immune-inflammation represents a prognostic factor in patients with advanced non-small cell lung cancer

Background

Inflammation plays an important role in pathogenesis, development and progression of lung cancer. The aim of the study is to assess the prognostic role of Systemic Immune-Inflammation Index (SII), obtained by analyzing the neutrophil, lymphocyte and platelet counts, and to design prognostic models for patients receiving first-line chemo- or targeted therapy for advanced non-small cell lung cancer (NSCLC).

Methods

We conducted an analysis on 311 patients with advanced NSCLC, treated with first line chemo- or targeted therapy till June 2015 at our Institution. Patients were stratified in two groups with SII ≥1,270 (Group A) vs. SII <1,270 (Group B). Progression free survival (PFS) and overall survival (OS) were estimated using Kaplan-Meier method. The best SII cutoff was identified by X-tiles program. A Cox regression model was carried out for univariate and multivariate analyses.

Results

At baseline, 179 patients had SII ≥1,270 (Group A), whilst 132 had lower SII (Group B). The median OS was 12.4 months in Group A and 21.7 months in Group B (P<0.001), whilst the median PFS was 3.3 and 5.2 months, respectively (P=0.029). At multivariate analysis, male gender, ECOG-PS ≥2 and SII >1,270 were predictors of worst OS, whilst IV tumor stage was only slightly significant (P=0.08). Otherwise, only wild-type EGFR status and SII ≥1,270 were independent prognostic factors for worst PFS.

Conclusions

Pre-treatment SII is an independent prognostic factor for patients with advanced NSCLC treated with first-line therapies.

The relationship of plasma fibrinogen with clinicopathological stages and tumor markers in patients with non-small cell lung cancer

Numerous studies have shown that the blood of cancer patients are generally in hypercoagulable statement. The aim of the present research is to study the relationships of plasma fibrinogen (Fbg) levels with clinicopathological stages (CS) and tumor markers of non-small cell lung cancer (NSCLC).Baseline information, plasma Fbg levels, CS, and expression level of tumor markers were collected from medical records retrospectively. Unitary linear regression was used to analyze the relationships between continuous variables and Fbg, and multiple linear regression was used to analyze the relationships between categorical variables and Fbg. National Comprehensive Cancer Network Clinical Practice Guidelines in Oncology (Version 4) for NSCLC were adopted to evaluate CS.A total of 652 NSCLC patients were included. Compared with the females, male patients had higher mean plasma Fbg levels (P < .001). The later the N stages (P = .002), M stages (P = .002), and CS (P = .001) were, the higher the average plasma Fbg levels were. The levels of squamous cell carcinoma antigen (P = .001), carbohydrate antigen 125 (P = .041), and neuron-specific enolase (P < .001) were positively correlated with plasma Fbg concentration. The plasma level of Fbg in lung adenocarcinoma patients (P < .001) was the lowest, while that of lung squamous cell carcinoma patients (P < .001) was the highest in NSCLC patients.The plasma Fbg concentration is related to gender, CS, and tumor markers in patients with NSCLC.

Albumin-to-fibrinogen ratio as a promising biomarker to predict clinical outcome of non-small cell lung cancer individuals

Chronic inflammation is one of the critical causes to promote the initiation and metastasis of solid malignancies including lung cancer (LC). Here, we aimed to investigate the prognostic roles of albumin (Alb)-to-fibrinogen (Fib) ratio (AFR), Fib and Alb in LC and to establish a novel effective nomogram combined with AFR. Four hundred twelve LC patients diagnosed between February 2005 and December 2014 were recruited in this prospective study. The prognostic roles of AFR, Fib, Alb, neutrophil-to-lymphocyte ratio (NLR), platelet-to-lymphocyte ratio (PLR) and monocyte-to-lymphocyte ratio (MLR) were identified by X-tile software, Kaplan-Meier curve, Cox regression model, and time-dependent ROC. Pretreatment high circulating Fib, low AFR, and Alb were significantly associated with increased risk of death for LC patients, especially for non-small cell lung cancer (NSCLC) patients in all stages. The area under curves (AUCs) of AFR, Fib, and NLR were higher than them within Alb and PLR for predicting the survival of NSCLC patients. Moreover, we found that clinical outcome of high AFR patient with chemo-radiotherapy was superior to low AFR patient; overall survival rate of stage II-III NSCLC patients undergoing chemo-radiotherapy was significantly lower than the surgical patients with treatment of adjuvant chemo-radiotherapy(P = 0.001) in low AFR subgroup. On the contrary, clinical outcome of the patients receiving chemo-radiotherapy was the same to the patients undergoing surgery and adjuvant chemo-radiotherapy (P = 0.405) in high AFR subgroup. In addition, c-index of predicted nomogram including AFR (0.717) for NSCLC patients with treatment of chemo-radiotherapy was higher than that without AFR (0.707). Our findings demonstrated that circulating pretreatment AFR might be a potential biomarker to predict clinical efficacy of surgical resection and adjuvant chemo-radiotherapy and be a prognostic biomarker for NSCLC individuals.