The advanced lung cancer inflammation index is an independent prognostic factor after surgical resection in patients with non-small-cell lung cancer

Significance of preoperative evaluation of modified advanced lung cancer inflammation index for patients with resectable non-small cell lung cancer

OBJECTIVES

Body composition and systemic inflammation/nutrition have been identified as important clinical factors in cancer patients. The modified advanced lung cancer inflammation index (mALI), which combines body composition and systemic inflammation/nutrition, is defined as appendicular skeletal muscle index × serum albumin/neutrophil-lymphocyte ratio. This retrospective study aimed to investigate associations between preoperative mALI and surgical outcomes in non-small cell lung cancer (NSCLC) patients.

METHODS

We examined 665 patients with resectable stage I-III NSCLC who underwent pulmonary resection. Patients were divided into low-mALI (n = 168) and high-mALI (n = 497) based on the lower quartile. Kaplan-Meier curves and Cox regression analysis were used to assess the prognostic value of mALI. We then performed 1:1 propensity score matching (PSM) for high- and low-mALI to further investigate impacts on survival.

RESULTS

Overall survival (OS) and recurrence-free survival (RFS) were both significantly poorer in the low-mALI group than in the high-mALI group (58.2% vs. 79.6%, P < 0.001; 48.8% vs. 66.7%, P < 0.001, respectively). Multivariate analysis revealed low-mALI as an independent predictor of OS (hazard ratio [HR], 2.116; 95% confidence interval (CI) 1.458-3.070; P < 0.001) and RFS (HR, 1.634; 95% CI 1.210-2.207; P = 0.001). After PSM, low-mALI remained as an independent predictor of OS (HR, 2.446; 95% CI 1.263-4.738; P = 0.008) and RFS (HR 1.835; 95% CI 1.074-3.137; P = 0.026).

CONCLUSION

Preoperative mALI appears to offer an independent predictor of poor surgical outcomes as a simple, routinely available, and inexpensive biomarker in patients with resectable NSCLC.

Advanced Lung Cancer Inflammation Index: A Novel Comprehensive Biomarker of Host Status for Patients with Metastatic Colorectal Cancer

Numerous biomarkers that reflect host status have been identified for patients with metastatic colorectal cancer (mCRC). However, there has been a paucity of biomarker studies that comprehensively indicate body composition, nutritional assessment, and systemic inflammation status. The advanced lung cancer inflammation index (ALI), initially introduced as a screening tool for patients with non-small-cell lung cancer in 2013, emerges as a holistic marker encompassing all body composition, nutritional status, and systemic inflammation status. The index is calculated by the simple formula: body mass index × albumin value / neutrophil-to-lymphocyte ratio. Given its accessibility in routine clinical practice, the ALI has exhibited promising clinical utility in prognosticating outcomes for patients with multiple types of cancer. In this review, we focus on the significance of host status and the clinical applicability of the ALI in the treatment and management of patients with malignancies, including mCRC. We also suggest its potential in guiding the formulation of treatment strategies against mCRC and outline future perspectives.

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.

The inflammation score predicts the prognosis of gastric cancer patients undergoing Da Vinci robot surgery

Neutrophil-to-lymphocyte ratio (NLR), calculated from peripheral blood immune-inflammatory cell counts, is considered a predictor of survival in various cancers. Nevertheless, there is a lack of research into the predictive value of NLR specifically in gastric cancer patients following surgery using the Da Vinci robot. Investigate the objectives of this research, confirm the positive predictive value of NLR in the prognosis of gastric cancer patients undergoing Da Vinci robotic-assisted surgery by comparing its prognostic ability with other inflammation markers and tumor biomarkers. In this retrospective analysis, information from 128 individuals diagnosed with gastric cancer and treated with da Vinci robot-assisted surgery was examined. The study examined various markers in the peripheral blood, including neutrophil/lymphocyte ratio (NLR), platelet/lymphocyte ratio (PLR), lymphocyte/monocyte ratio (LMR), systemic immune-inflammatory index (SII) prognostic nutrition index (PNI), cancer antigen 125 (CA125), carbohydrate antigen 19-9 (CA19-9), carbohydrate antigen 72-4 (CA72-4), carcinoembryonic antigen (CEA) and alpha-fetoprotein (AFP).To ascertain the prognostic ability and optimal cutoff values of each parameter, operating characteristic curves and the area under the curve were utilized in the analysis. For evaluation of independent prognostic factors, we utilized Kaplan-Meier curves and multifactorial Cox analysis. The variables from the multifactorial Cox analysis were used to construct a nomogram. NLR, LMR, CEA, AFP, primary location, largest tumor size and TNM stage were all found to be significant predictive elements for overall survival (OS). Multivariate Cox identified NLR (P = 0.005), LMR (P = 0.03) and AFP (P = 0.007) as the only separate predictive variables among hematological indicators. The nomogram built using NLR demonstrates excellent predictive performance at 1 year (AUC = 0.778), 3 years (AUC = 0.773), and 5 years (AUC = 0.781). Cross-validation demonstrates that this model has favorable predictive performance and discriminative ability. NLR is an uncomplicated yet potent marker for forecasting the survival result of individuals with gastric cancer following da Vinci robotic surgery, and it possesses considerable predictive significance. The nomogram based on NLR provides patients with a visual and accurate prognosis prediction.

A combined preoperative red cell distribution width and carcinoembryonic antigen score contribute to prognosis prediction in stage I lung adenocarcinoma

AIMS

Hematological markers that can be used for prognosis prediction for stage I lung adenocarcinoma (LUAD) are still lacking. Here, we examined the prognostic value of a combination of the red cell distribution width (RDW) and carcinoembryonic antigen (CEA), namely, the RDW-CEA score (RCS), in stage I LUAD.

MATERIALS AND METHODS

A retrospective study with 154 patients with stage I LUAD was conducted. Patients were divided into RCS 1 (decreased RDW and CEA), RCS 2 (decreased RDW and increased CEA, increased RDW and decreased CEA), and RCS 3 (increased RDW and CEA) subgroups based on the best optimal cutoff points of RDW and CEA for overall survival (OS). The differences in other clinicopathological parameters among RCS subgroups were calculated. Disease-free survival (DFS) and OS among these groups were determined by Kaplan-Meier analysis, and risk factors for outcome were calculated by a Cox proportional hazards model.

RESULTS

Seventy, 65, and 19 patients were assigned to the RCS 1, 2, and 3 subgroups, respectively. Patients ≥ 60 years (P < 0.001), male sex (P = 0.004), T₂ stage (P = 0.004), and IB stage (P = 0.006) were more significant in the RCS 2 or 3 subgroups. The RCS had a good area under the curve (AUC) for predicting DFS (AUC = 0.81, P < 0.001) and OS (AUC = 0.93, P < 0.001). The DFS (log-rank = 33.26, P < 0.001) and OS (log-rank = 42.05, P < 0.001) were significantly different among RCS subgroups, with RCS 3 patients displaying the worst survival compared to RCS 1 or 2 patients. RCS 3 was also an independent risk factor for both DFS and OS.

CONCLUSIONS

RCS is a useful prognostic indicator in stage I LUAD patients, and RCS 3 patients have poorer survival. However, randomized controlled trials are needed to validate our findings in the future.

Highly elevated systemic inflammation is a strong independent predictor of early mortality in advanced non-small cell lung cancer

BACKGROUND

Ample evidence support inflammation as a marker of outcome in non-small cell lung cancer (NSCLC). Here we explore the outcome for a subgroup of patients with advanced disease and substantially elevated systemic inflammatory activity.

METHODS

The source cohort included consecutive patients diagnosed with NSCLC between January 2016 - May 2017 (n = 155). Patients with active infection were excluded. Blood parameters were examined individually, and cut-offs (ESR > 60 mm, CRP > 20 mg/L, WBC > 10 × 10⁹, PLT > 400 × 10⁹) were set to define the group of hyperinflamed patients. A score was developed by assigning one point for each parameter above cut-off (0-4 points).

RESULTS

High systemic inflammation was associated with advanced stage and was seldom present in limited NSCLC. However, the one year survival of patients in stage IIIB-IV (n = 93) with an inflammation score of ≥2 was 0% compared to 33% and 50% among patients with a score of 1 and 0 respectively. The effect of a high inflammation score on overall survival remained significant in multi-variate analysis adjusted for confounding factors. The independent hazard ratio of an inflammation score ≥ 2 in multi-variate analysis (HR 3.43, CI 1.76-6.71) was comparable to a change in ECOG PS from 0 to 2 (HR 2.42, CI 1.13-5.18).

CONCLUSION

Our results show that high level systemic inflammation is a strong independent predictor of poor survival in advanced stage NSCLC. This observation may indicate a need to use hyperinflammation as an additional clinical parameter for stratification of patients in clinical studies and warrants further research on underlying mechanisms linked to tumor progression.

Prognostic value of pretreatment advanced lung cancer inflammation index in non-small cell lung cancer: a meta-analysis

Purpose To identify the prognostic value of pretreatment advanced lung cancer inflammation index (ALI) in non-small cell lung cancer (NSCLC) including surgical patients who were diagnosed with early stage. Methods The PubMed, EMBASE and Web of Science electronic databases were searched up to January 12, 2022 for relevant studies. The hazard ratios (HRs) with 95% confidence intervals (CIs) were combined to assess the association between pretreatment ALI and overall survival (OS) or progression-free survival (PFS) of NSCLC patients. All statistical analyses were conducted by STATA 12.0 software. Results A total of 14 studies involving 3607 participates were included. The pooled results indicated that lower pretreatment ALI was significantly related with poorer OS (HR =2.20, 95% CI: 1.46-3.33, P<0.001) and PFS (HR =1.78, 95% CI: 1.49-2.13, P<0.001). Besides, subgroup analysis also demonstrated that lower pretreatment ALI was associated with worse OS in surgical (P<0.001) and non-metastatic (P<0.001) patients and worse PFS of surgical (P<0.001) NSCLC patients. Conclusion Pretreatment ALI was a novel and reliable prognostic indicator in NSCLC and lower pretreatment ALI predicted worse survival including patients diagnosed with early stage. However, more prospective high-quality studies are still needed to verify above findings.

Preoperative Systemic Immune–Inflammation Index (SII) as a Superior Predictor of Long-Term Survival Outcome in Patients With Stage I–II Gastric Cancer After Radical Surgery

Background

Systemic immune–inflammation index (SII), calculated by immunoinflammatory cell counts of peripheral blood, is considered a predictor of survival outcome in several solid tumors, including gastric cancer (GC). However, there is no study focusing on the prognostic value of SII in the early stage of GC. This study aims to compare prognostic prediction capabilities of several inflammatory indices, nutritional indices, and tumor markers to further verify the superior prognostic value of SII in stage I–II GC patients after surgery.

Methods

In this study, 548 patients (358 in the training group and 190 in the validation group) with stage I–II GC after radical surgery were retrospectively analyzed. The peripheral blood indices of interest were SII, neutrophil-to-lymphocyte ratio (NLR), platelet-to-lymphocyte ratio (PLR), monocyte-to-lymphocyte ratio (MLR), advanced lung cancer inflammation index (ALI), systemic inflammation score (SIS), prognostic nutritional index (PNI), body mass index (BMI), albumin, carcinoembryonic antigen (CEA), cancer antigen 125 (CA125), carbohydrate-associated antigen 19-9 (CA19-9), and alpha-fetoprotein (AFP). The time-dependent receiver operating characteristic (t-ROC) curves and the area under the curve (AUC) were used to determine the optimal cutoff value and prognostic ability of each parameter. Kaplan–Meier curves and multivariable Cox regression models were used to evaluate independent prognostic factors. The nomogram was constructed based on the result of bidirectional stepwise regression model.

Results

The optimal cutoff value of SII was 508.3. The 5-year overall survival rate of the low SII (SII-L) group was significantly higher than that of the high SII (SII-H) group (92% vs. 80%, P < 0.001), especially in the elderly and stage II patients (91% vs. 73%, P = 0.001; 86% vs. 67%, P = 0.003, respectively). The significant prognostic values of SII were consistent in most subgroups. In multivariate analysis, SII and CA19-9 were the only two independent prognostic hematology indices. The AUC value of SII (0.624) was greater than that of CA19-9 (0.528) and other prognostic parameters. Adding SII to the conventional model improved the predictive ability of 5-year overall survival as shown by the significantly increased net reclassification improvement (NRI) and integrated discrimination improvement (IDI) (P = 0.033, P = 0.053, respectively) and modestly improved consistency index (C-index) (increased by 1.6%). External validation of SII-based nomogram demonstrated favorable predictive performance and discrimination. In addition, interactive web dynamic nomogram was published to facilitate clinical use.

Conclusion

SII is a simple but powerful index with a high predictive value to predict survival outcome in patients with stage I–II GC after radical operation. The SII-based nomogram can provide intuitive and accurate prognosis prediction of individual patients.

The advanced lung cancer inflammation index predicts outcomes of patients with non-small cell lung cancer following video-assisted thoracic surgery

OBJECTIVE

The advanced lung cancer inflammation index (ALI) predicts overall survival (OS) in patients with advanced lung cancer. However, few studies have tested ALI's prognostic effect in patients with non-small cell lung cancer (NSCLC) following video-assisted thoracic surgery (VATS), especially patients at stage III. This study investigated the relationship between ALI and outcomes of patients with NSCLC following VATS.

METHODS

We retrospectively examined 339 patients with NSCLC who underwent VATS at Hebei General Hospital, China. Preoperative clinical and laboratory parameters were collected and analyzed. Optimal cutoff values of potential prognostic factors, including ALI, were determined. Kaplan-Meier and Cox regression analyses were used to determine each factor's prognostic value.

RESULTS

The median OS was 31 months. The optimal cutoff value for ALI was 41.20. Patients with high ALI (≥41.20) displayed increased OS (33.87 vs. 30.24 months), higher survival rates, and milder clinical characteristics. Univariate and multivariate analyses showed a significant correlation between ALI and the prognosis of patients with NSCLC, including those at stage IIIA, who underwent VATS.

CONCLUSIONS

Low ALI correlated with poor outcomes in patients with NSCLC following VATS. Preoperative ALI might be a potential prognostic biomarker for patients with NSCLC following VATS, including patients at stage IIIA.

Advanced Lung Cancer Inflammation Index Predicts Survival Outcomes of Patients With Oral Cavity Cancer Following Curative Surgery

Aim

The aim of our study was to investigate the prognostic value of preoperative advanced lung cancer inflammation index (ALI) and to establish prognostic nomograms for the prediction of survival outcomes in patients with oral cavity squamous cell carcinoma (OSCC).

Materials and Methods

A total of 372 patients who received primary curative surgery for OSCC during 2008–2017 at a tertiary referral center were enrolled. We used the receiver operating characteristic curve to determine the optimal cutoff point of ALI. Through a Cox proportional hazards model and Kaplan–Meier analysis, we elucidated the ALI–overall survival (OS) and ALI–disease-free survival (DFS) associations. Prognostic nomograms based on ALI and the results of multivariate analysis were created to predict the OS and DFS. We used the concordance indices (C-indices) and calibration plots to assess the discriminatory and predictive ability.

Results

The results revealed that the ALI cutoff was 33.6, and 105 and 267 patients had ALI values of <33.6 and ≥33.6, respectively. ALI < 33.6 significantly indicated lower OS (44.0% vs. 80.1%, p < 0.001) and DFS (33.6% vs. 62.8%; p < 0.001). In multivariate analysis, ALI < 33.6 was independently associated with poor OS and DFS (both p < 0.001). The C-indices of established nomograms were 0.773 and 0.674 for OS and DFS, respectively; moreover, the calibration plots revealed good consistency between nomogram-predicted and actual observed OS and DFS.

Conclusion

ALI is a promising prognostic biomarker in patients undergoing primary surgery for OSCC; moreover, ALI-based nomograms may be a useful prognostic tool for individualized OS and DFS estimations.

Comprehensive Analysis to Identify Enhancer-Regulated Inflammation-Associated Genes in Lung Adenocarcinoma

Objective

The purpose of this study was to identify prognostic inflammatory markers regulated by enhancers in lung adenocarcinoma (LUAD).

Methods

Inflammatory indices of 490 LUAD patients in TCGA database were calculated using genomic variation analysis (GSVA). Patients were divided into high- and low-inflammatory index groups. Fraction of 22 infiltrating immune cells was estimated using the Cell type Identification By Estimating Relative Subsets Of RNA Transcripts (CIBERSORT). Gene set enrichment analysis (GSEA) was used to analyze gene enrichment. Differentially expressed genes were screened based on TCGA database. The H3K27ac ChIP-seq of A549 cells in GEO database (GSE42374) was analyzed to identify super enhancers. Kaplan-Meier method and multivariate Cox proportional hazards models were used for survival analysis. CCK8 and RT-qPCR were used for cellular level verification.

Results

Inflammation was associated with better outcome in LUAD patients. Anti-cancer immune cell fractions were upregulated in high-inflammatory index group. Genes enriched in inflammation-related signaling pathways were positively correlated with high-inflammatory index group. A total of 146 upregulated genes regulated by enhancers were screened, of which five genes including GDF10, HPGDS, ABCA8, SLIT3 and ADAMTS8 had significant influence on prognosis. ChIP-seq analysis showed that TGFβ+TNFα treatment promoted the enhancer activation of the five genes. Cellular experiments revealed that there was no significant effect of TGFβ treatment on the five genes expression. TNFα treatment upregulated the five genes expression, while the BET-bromodomain inhibitor JQ1 restored the effect of TNFα. Overexpression of the five genes significantly inhibited the proliferation of A549 and H1299 cells.

Conclusion

GDF10, HPGDS, ABCA8, SLIT3 and ADAMTS8 were identified as enhancer-regulated prognostic inflammation-related biomarkers, and the expression of these genes inhibited proliferation of LUAD cells.

Prognostic Impact of the Advanced Lung Cancer Inflammation Index (ALI) in Metastatic Non-Small Cell Lung Cancer Treated with First Line Chemotherapy

Background:

The advanced lung cancer inflammation index (ALI) has been reported to predict the overall survival in patients with advanced non-small cell lung cancer (NSCLC). However, no previous studies have examined the prognostic significance of ALI in metastatic NSCLC treated with first line chemotherapy. The objective of this study was to explore the relationship between ALI and the prognosis of metastatic NSCLC treated with first line chemotherapy.

Materials and Methods:

Data of 109 metastatic NSCLC patients who had completed first line treatment with chemotherapy was collected. A multivariate flexible parametric proportional-hazards model with restricted cubic splines (RCS) was used to explore and identify the independent prognostic factors, including clinical potential factors and ALI for the overall survival. Multivariate regression analysis was used to evaluate the potential prognostic factors associated with short survival less than 6 months. The analysis of the restricted mean survival time (RMST) method was used to estimate the event-free time from zero to 18 months.

Results:

The median OS was 10.9 months (95%CI 9.57-13.18) and median PFS was 7.5 months (95%CI 6.85-8.00).The multivariate survival analyses revealed two prognostic factors for worse survival: Poor ECOG PS (HR46.90; 95%CI 2.90-758.73; p=0.007) and progressive disease after completing the first line chemotherapy treatment (HR 2.85; 95%CI1.18-6.88; p=0.02),whereas a low ALI <11 referred to a non-significant prognostic factor (HR 1.42; 95%CI 0.67-3.01; p=0.364).The results of the multivariate regression analysis revealed that the low ALI and progressive disease status were significantly associated with the short survival outcome (OR 5.12; 95%CI 1.11-23.65; p=0.037; OR 12.57; 95%CI 3.00-52.73; p=0.001).

Conclusions:

A low ALI was associated with the short survival in metastatic NSCLC treated with chemotherapy. However, using ALI as a prognostic factor only was still too limited. Other considerable clinical prognostic factors should also be used simultaneously, which would have strong significant prognostic impacts.

Inflammatory Risk Factors for Early Recurrence of Non-Small Cell Lung Cancer Within One Year Following Curative Resection

BACKGROUND

Several inflammation-based scoring systems and nutritional indicators have been shown to have relevance to survival of patients with non-small cell lung cancer (NSCLC).The present study examined preoperative and pathological factors in patients who underwent curative resection for non-small cell lung cancer, with the aim to elucidate risk factors for early recurrence within 1 year of surgery.

METHODS

Patients with NSCLC who underwent surgery from January 2009 to December 2014 were retrospectively investigated. Routine laboratory measurements including carcinoembryonic antigen were performed before surgery, and pathological information was collected after surgery. Patients with recurrence within 1 year after surgery were considered as early recurrence group (ERG), those with recurrence after 1 year were as late recurrence group (LRG), and those without recurrence were as no recurrence group (NRG).

RESULTS

Multivariate analysis between ERG and LRG revealed Glasgow prognostic score (GPS) and CRP-to-albumin ratio (CAR) as independent risk factors for early recurrence. Multivariate analysis between ERG and LRG + NRG confirmed CAR, vascular invasion, and pathological stage as risk factors for early recurrence.

CONCLUSION

These findings indicated that CAR and GPS were confirmed to be risk factors for early recurrence, in addition to pathological factors.

Advanced Lung Cancer Inflammation Index is a Prognostic Factor of Patients with Small-Cell Lung Cancer Following Surgical Resection

Purpose

Advanced lung cancer inflammation index (ALI) has been shown to predict overall survival (OS) in advanced non small-cell lung cancer (NSCLC), small-cell lung cancer (SCLC) and operable NSCLC. However, there were no studies of the correlation between ALI and operable SCLC. Therefore, this study is aimed to explore the relationship between ALI and the prognosis of operable SCLC.

Patients and Methods

A total of 48 patients with SCLC who underwent surgery at Hebei General Hospital and Zigong First People's Hospital were screened between 2016 and 2020. ALI was calculated as follows: body mass index (BMI, kg/m²)×serum albumin (ALB, g/dL)/neutrophil to lymphocyte ratio (NLR). Receiver operating characteristic (ROC) curve was used to determine the optimal cutoff value of ALI. Patients were divided into two groups according to the cutoff point of ALI: low ALI group with ALI<48.2 and high ALI group with ALI≥48.2. Kaplan-Meier and Cox regression analysis were performed to assess the potential prognostic factors associated with OS.

Results

The optimal cutoff value of ALI was determined as 48.2. The low ALI group displayed more adverse clinical characteristics and poorer survival rates. Multivariate analysis revealed that ALI and Charlson comorbidity index (CCI) were significantly correlated with OS.

Conclusion

Low ALI was correlated with poor prognosis in patients with SCLC who underwent surgery. Preoperative ALI might serve as a potential prognostic marker for patients with operable SCLC.

Prognostic value of advanced lung cancer inflammation index in patients with colorectal cancer liver metastases undergoing surgery

INTRODUCTION

Recently, a new inflammatory marker, the advanced lung cancer inflammation index (ALI), was reported as a prognostic marker in patients with several cancers. We aimed to investigate the prognostic value of ALI in patients with colorectal cancer liver metastases (CLM) undergoing surgery.

METHODS

From June 2009 to June 2018, 141 patients underwent a surgery for CLM at Ajou University Hospital, of whom 132 without extrahepatic metastases, systemic inflammatory diseases, or immune system diseases were enrolled in this study. The ALI was calculated using the following formula: ALI = body mass index × serum albumin/neutrophil-to-lymphocyte ratio. The patients were divided into high (n = 32) and low (n = 100) ALI groups according to the preoperative optimal cutoff value of 70.40 that was determined by X-tile software.

RESULTS

Patients with low ALI had a significantly worse overall survival (OS) compared to the high ALI group (p = 0.010). Multivariate analysis showed that ALI and carcinoembryonic antigen (CEA) were independently associated with OS (p = 0.009 and p = 0.042, respectively). Among the patients with CEA >5 ng/mL, the low ALI group had a significantly worse OS compared to the high ALI group (p = 0.013).

CONCLUSION

Preoperative ALI was a prognostic factor in patients with CLM undergoing surgery. In particular, the prognostic impact of ALI was more prominent in the patients with CEA >5 ng/mL.

The advanced lung cancer inflammation index predicts short and long-term outcomes in patients with colorectal cancer following surgical resection: a retrospective study

Background and Purpose

Several studies have proposed that the advanced lung cancer inflammation index (ALI), a new inflammation-related index, can be used for the prognosis assessment of various malignancies. However, few studies have reported its prognostic value in colorectal cancer (CRC). Therefore, this study explored the relationship between ALI and outcomes in CRC patients.

Methods

A total of 662 CRC patients who underwent surgery between 2012 and 2014 were included. The ALI was defined as: body mass index × serum albumin/neutrophil to lymphocyte ratio. The X-tile program identified the optimal cut-off value of ALI. Logistic regression analyses determined factors affecting postoperative complications. The Kaplan-Meier method and Cox proportional hazards analyses evaluated potential prognostic factors.

Results

The optimal cut-off of ALI in males and females were 31.6 and 24.4, respectively. Low-ALI was an independent risk factor for postoperative complications in CRC patients (odds ratio: 1.933, 95% CI [1.283-2.911], p = 0.002). Low-ALI groups also had significantly lower progression-free survival (PFS) and overall survival (OS), when compared with the high-ALI group, especially at advance tumor stages. Using multivariate analysis, ALI was determined as an independent prognostic factor for PFS (hazard ratio: 1.372, 95% CI [1.060-1.777], p = 0.016) and OS (hazard ratio: 1.453, 95% confidence interval: 1.113-1.898, p = 0.006).

Conclusion

ALI is an independent predictor of short and long-term outcomes in CRC patients, especially at advance tumor stages. The ALI-based nomograms can provide accurate and individualized prediction of postoperative complication risk and survival for CRC patients.

Regional emphysema score is associated with tumor location and poor prognosis in completely resected NSCLC patients

BACKGROUND

Lung cancer is a frequent comorbidity of chronic obstructive pulmonary disease (COPD). However, the local risk of developing lung cancer related to regional emphysema distribution and clinical outcome has not been investigated. Our aim was to evaluate the impact of regional emphysema score (RES) on tumor location and prognosis in non-small cell lung cancer (NSCLC) patients.

METHODS

We enrolled 457 patients who underwent curative surgery for NSCLC at seven hospitals at The Catholic University of Korea from 2014 to 2018. Emphysema was visually assessed for each lobe, with the lingula as a separate lobe. Semi-quantitative emphysema scoring was classified as follows: 0 = none, 0.5 = 1 to 10%, 1 = 11 to 25%, 2 = 26 to 50%, 3 = 51 to 75%, and 4 = 76 to 100%. An RES was given to each of the six lung zone: the upper, middle, and lower lobes in the right and left lungs.

RESULTS

There were 145 patients in the high RES (≥ 3) group and 312 in the low RES (< 3) group. The mean RES in each lobe with cancer was significantly higher than that in other lobes without cancer (0.51 vs. 0.37, P <  0.001). This group showed significantly shorter disease-free survival (P <  0.001), in addition, presence of COPD, low diffusing capacity of the lung for carbon monoxide (< 80), smoking status, and poor differentiation were more frequent in this group. Also, cancer in a lobe with a higher RES (odds ratio (OR) = 1.56; 95% confidence interval (CI:1.01-2.42; P = 0.04), pathologic stage ≥ III (OR = 2.23; 95% CI: 1.28-3.89; P <  0.001), and poor differentiation (OR = 1.99; 95% CI: 1.22-3.21; P <  0.001) were independent factors for tumor recurrence.

CONCLUSIONS

The regional severity of emphysema by visual qualification was associated with the location of lung cancer, and was an independently poor prognostic factor for tumor recurrence in completely resected NSCLC patients.

Advanced Lung Cancer Inflammation Index Predicts Outcomes of Patients With Colorectal Cancer After Surgical Resection

BACKGROUND

The advanced lung cancer inflammation index is considered a useful prognostic biomarker of clinical outcomes in patients with malignancies. However, the prognostic value of the advanced lung cancer index in patients with colorectal cancer who underwent surgical resection remains unclear.

OBJECTIVE

In this study, we evaluated the prognostic value of the advanced lung cancer index in patients with colorectal cancer.

DESIGN

Prospectively obtained data of patients with colorectal cancer were retrospectively evaluated to clarify the clinical relevance of the advanced lung cancer index.

SETTINGS

We conducted this study at a single expert center.

PATIENTS

We enrolled 298 patients with colorectal cancer who underwent surgical resection in this retrospective study.

MAIN OUTCOME MEASURES

The primary outcome was the clinical relevance of the advanced lung cancer index in patients with rectal cancer.

RESULTS

Low status of advanced lung cancer index was significantly correlated with undifferentiated histology (p = 0.004), T stage progression (p < 0.001), R1/R2 resection for primary surgery (p = 0.004), and distant metastasis (p < 0.001). Multivariate analysis showed that low advanced lung cancer index status was an independent prognostic factor for both overall survival (HR = 3.21 (95% CI, 1.97-5.19); p < 0.001) and disease-free survival (HR = 2.13 (95% CI, 1.23-3.63); p = 0.008) in patients with colorectal cancer. Furthermore, the clinical burden of the advanced lung cancer index was consistent between sexes, and its prognostic value was verified in patients with clinically relevant stage III colorectal cancer.

LIMITATIONS

The present study had several limitations, including retrospective observation and a small sample size of Japanese patients from a single institution.

CONCLUSIONS

The advanced lung cancer index could be a useful prognostic indicator of clinical outcomes in patients who underwent surgical resection for colorectal cancer. See Video Abstract at http://links.lww.com/DCR/B267. EL ÍNDICE AVANZADO DE INFLAMACIÓN DEL CÁNCER DE PULMÓN, PREDICE LOS RESULTADOS DE LOS PACIENTES CON CÁNCER COLORRECTAL DESPUÉS DE LA RESECCIÓN QUIRÚRGICA: El índice avanzado de inflamación del cáncer de pulmón, es considerado como un útil biomarcador pronóstico, en los resultados clínicos de pacientes con neoplasias malignas. Sin embargo, aún no está claro el valor pronóstico del índice avanzado de cáncer de pulmón, en pacientes con cáncer colorrectal sometidos a resección quirúrgica.Evaluar el valor pronóstico del índice avanzado del cáncer de pulmón, en pacientes con cáncer colorrectal.Los datos obtenidos prospectivamente de pacientes con cáncer colorrectal, fueron evaluados retrospectivamente, para aclarar la relevancia clínica del índice avanzado del cáncer de pulmónEstudio realizado en un solo centro experto.Estudio retrospectivo, incluyendo 298 pacientes con cáncer colorrectal, sometidos a resección quirúrgica.El resultado primario fue la relevancia clínica del índice avanzado de cáncer de pulmón, en pacientes con cáncer rectal.Un índice avanzado de cáncer de pulmón bajo, se correlacionó significativamente con la histología indiferenciada (p = 0.004), la progresión de la etapa T (p <0.001), la resección R1 / R2 para cirugía primaria (p = 0.004) y la metástasis a distancia (p <0.001). El análisis multivariante mostró que el índice avanzado de cáncer de pulmón bajo, era un factor pronóstico independiente, tanto para la supervivencia general (HR = 3.21 IC 95% 1.97-5.19 p <0.001) como para la supervivencia libre de enfermedad (HR = 2.13, IC 95% 1.23-3.63, p = 0,008), en pacientes con cáncer colorrectal. Además, la carga clínica del índice avanzado de cáncer de pulmón, fue consistente entre los sexos y su valor pronóstico se verificó clínicamente relevante, en pacientes con cáncer colorrectal en estadio III.El presente estudio tuvo varias limitaciones, incluyendo la observación retrospectiva y la pequeña muestra de pacientes japoneses, en una sola institución.El índice avanzado de cáncer de pulmón, podría ser un indicador pronóstico útil, en los resultados clínicos de pacientes sometidos a resección quirúrgica por cáncer colorrectal. Consulte Video Resumen http://links.lww.com/DCR/B267.

Clinical significance of advanced lung cancer inflammation index, a nutritional and inflammation index, in gastric cancer patients after surgical resection: A propensity score matching analysis

BACKGROUND

The advanced lung cancer inflammation index (ALI) has recently been shown as a prognostic marker for several cancers. However, its predictive value for surgical and oncological outcomes in gastric cancer (GC) remains unclear.

METHODS

We retrospectively reviewed the preoperative ALI in 620 GC patients receiving gastrectomy to elucidate the prognostic value for overall survival (OS) and disease-free survival (DFS) and to clarify its predictive value for perioperative risk of surgical site infection (SSI) in GC patients. Propensity score matching (PSM) analysis was also conducted to certify these potentials of preoperative ALI.

RESULTS

Preoperative low ALI was significantly correlated with advanced tumor-node-metastasis stage classification. Patients with low ALI showed poorer OS (p < 0.0001) and DFS (p < 0.0001) compared to those with high ALI, and multivariate analysis showed that decreased ALI was an independent prognostic factor for OS [hazard ratios of 1.59; 95% confidence interval (CI) of 1.15-2.19, p = 0.006]. Meanwhile, preoperative low ALI was also an independent risk factor for overall SSI [odds ratio (OR) of 2.04, 95% CI of 1.24-3.35, p = 0.005] or organ-space SSI (OR of 2.69, 95% CI of 1.40-5.23, p = 0.003). We further conducted PSM analysis and verified all of these findings in the PSM cohort.

CONCLUSION

Quantification of preoperative ALI can identify patients with high risk of adverse perioperative and oncological outcomes in GC patients.

External validation of the prognostic relevance of the advanced lung cancer inflammation index (ALI) in pancreatic cancer patients

BACKGROUND

The advanced lung cancer inflammation index (ALI) was first introduced for prognosis prediction in lung cancer patients and since then evaluated in several other malignancies. However, in pancreatic cancer (PC) the ALI and its prognostic utility were only investigated in a comparably small and specific cohort of locally advanced PC patients treated with chemoradiotherapy.

METHODS

In our single-center cohort study, we included 429 patients with histologically verified PC who were treated between 2003 and 2015 at our academic institution. The ALI was defined as body mass index (BMI; kg/m2 ) × serum albumin levels (g/dL)/neutrophil-lymphocyte ratio (NLR) and we defined the optimal cutoff for biomarker dichotomization by ROC-analysis. Kaplan-Meier method as well as uni- and multivariate Cox regression Hazard proportional models were implemented to assess the prognostic potential of ALI in PC patients. We considered cancer-specific survival (CSS) as the primary endpoint of the study.

RESULTS

The ALI showed a significant negative correlation with CA19-9 levels and C-reactive protein levels whereas we found an association with localized tumor stage and better performance status (P < .05 for all mentioned variables). As opposed to patients with a high ALI, decreased ALI was significantly associated with shorter CSS (HR = 0.606, 95% CI: 0.471-0.779, P = .001). Multivariate analysis demonstrated tumor grade, tumor stage, chemotherapy, C-reactive protein levels, and CA19-9 levels to independently predict for CSS (all P < .05). In contrast the ALI failed to independently predict for CSS in the performed multivariate models (HR = 0.878, 95% CI: 0.643-1.198, P = .411).

CONCLUSION

In this large cohort of PC patients, the ALI did not complement existing clinicopathological factors for outcome determination.

Prognostic impact of a novel index of nutrition and inflammation for patients with acute decompensated heart failure

Malnutrition and systemic inflammation are associated with poor outcomes in patients with heart failure. Recent studies have reported that the advanced lung cancer inflammation index (ALI), derived from the body mass index (BMI), serum albumin level, and neutrophil-to-lymphocyte ratio (NLR), is associated with poor prognosis in several types of cancers. Each marker is also known to prognostic factor of heart failure. Therefore, we hypothesized that ALI may be useful for determining the prognosis of patients with acute decompensated heart failure (ADHF). We reviewed survival in 381 consecutive patients (age, 73.1 ± 11.4 years, 59% men) who were hospitalized for ADHF and discharged. ALI at discharge, calculated as BMI × albumin level/NLR, was used to divide the patients into tertiles (ALI < 23.88, 23.88 ≤ ALI < 42.43, and ALI ≥ 42.43). The patients were also stratified into six groups according to the ALI tertiles and median concentration (177 pg/mL) of brain natriuretic peptide (BNP). The primary endpoint comprised all-cause mortality and readmission because of heart failure. The median follow-up duration was 363 days (interquartile range: 147-721 days), and 166 patients (44%) experienced the primary endpoint. Kaplan-Meier analysis showed that the event rate decreased progressively from the first to the third ALI tertile (52%, 48%, and 31%, respectively; p = 0.0013). In a multivariate Cox proportional hazards model, the first tertile was an independent prognostic factor for the primary endpoint (third vs. first tertile: hazard ratio, 0.57; 95% confidence interval, 0.34-0.95; p = 0.031). The hazard ratio for the primary endpoint for the patients with high BNP and first tertile ALI relative to the patients with low BNP and third tertile ALI was 5.3 (95% confidence interval, 2.9-9.5; p < 0.001). ALI at discharge, a novel and simple index of nutrition and inflammation, may be useful for risk stratification and predicting the prognosis of patients with ADHF.

Clinical prognostic scores for patients with thymic epithelial tumors

Several inflammation-based prognostic scores emerged in various types of cancer to predict clinical outcomes. So far, no accurate pre-treatment scoring systems exist for patients with thymic epithelial tumors (TETs), comprising thymomas and thymic carcinomas (TCs). Therefore, we sought to test the prognostic value of different clinical composite scores and their components, identify optimal cut-off values for TETs as well as combine predictive components to new suitable prognostic scores. One hundred eighty-four patients with TETs undergoing surgical tumor resection were analyzed. A significant advantage in Freedom-from-Recurrence and/or Cause-specific survival (CSS) was evident for patients with high Advanced-Lung- Cancer-Inflammation-Index, low CRP-Fibrinogen-Score (CFS), low Glasgow-Prognostic-Score (GPS), low high-sensitivity-modified GPS, low TET-adapted GPS (TET-aGPS) and low Systemic-Immune-Inflammation Index. On multivariable analysis high TET-aGPS (HR = 14.9;p = 0.001), incomplete resection status (HR = 13.5;p = 0.001) and TC (HR = 26.0;p = 0.001) were significant independent prognostic factors for worse CSS. The CFS had the highest coefficient of determination (R² = 0.188) to predict tumor recurrence of all composite scores, comprising CRP (R² = 0.141) and fibrinogen (R² = 0.158), the best single factor predictors. Inflammation-based prognostic scores and selected components are suitable to predict survival and/or tumor recurrence in TET patients undergoing primary surgery. Due to excellent long-term survival and frequent tumor recurrence, cut-off values were tailored to increase prognostic power.

Prognostic role of the advanced lung cancer inflammation index in cancer patients: a meta-analysis

Background

Inflammation plays a critical role in the development and progression of cancers. The advanced lung cancer inflammation index (ALI) is thought to be able to reflect systemic inflammation better than current biomarkers. However, the prognostic significance of the ALI in various types of cancer remains unclear. Our meta-analysis aimed to comprehensively investigate the relationship between the ALI and oncologic outcomes to help physicians better assess the prognosis of cancer patients.

Methods

The PubMed, Embase, Cochrane Library, China National Knowledge Infrastructure, and Wanfang databases were searched for relevant studies. Hazard ratios (HRs) with 95% confidence intervals (95% CIs) were calculated and pooled from the included studies. Furthermore, a sensitivity analysis was performed to evaluate the reliability of the articles. Finally, Begg’s test, Egger’s test, and the funnel plot were applied to assess the significance of publication bias.

Results

In total, 1736 patients from nine studies were included in our meta-analysis. The median cutoff value for the ALI was 23.2 (range, 15.5–37.66) in the analyzed studies. The meta-analysis showed that there was a statistically significant relationship between a low ALI and worse overall survival (OS) in various types of cancer (HR = 1.70, 95% CI = 1.41–1.99, P < 0.001). Moreover, results from subgroup meta-analysis showed that the ALI had a significant prognostic value in non-small cell lung cancer, small cell lung cancer, colorectal cancer, head and neck squamous cell carcinoma, and diffuse large B cell lymphoma (P < 0.05 for all).

Conclusions

These results showed that a low ALI was associated with poor OS in various types of cancer, and the ALI could act as an effective prognostic biomarker in cancer patients.

The Prognostic Values of a Novel Preoperative Inflammation-Based Score in Japanese Patients With Non-Small Cell Lung Cancer

Background

Several previous researchers have investigated the prognostic value of the combinations of systemic inflammatory markers. However, the prognostic power of these systemic inflammatory markers is not identical. We aimed to establish a novel prognostic score based on systemic inflammatory markers.

Methods

Four hundred non-small cell lung cancer (NSCLC) patients who underwent surgery and were followed more than 5 years were included. Univariate and multivariate analyses were calculated by the Cox proportional hazards regression model.

Results

Among systemic inflammatory markers which were used for the previously reported indexes, preoperative serum C-reactive protein (CRP) and body mass index (BMI) were independent prognostic markers in multivariate analysis, while serum albumin level, neutrophil to lymphocyte ratio and platelet to lymphocyte ratio were not. Based on this result, a novel score was established. Patients with both normal CRP (< 0.13 ng/dL) and high BMI (> 20.6 kg/m²) were allocated a score of 0. Patients in whom only one of these abnormalities was present were allocated a score of 1, whilst those with both high CRP and low BMI were given a score of 2. Patients with score 0 had 84.44% of 5-year cancer-specific survival, while patients with score 1 - 2 had a 61.88%. On multivariate analysis, this novel score was an independent prognostic factor.

Conclusion

This novel score based on CRP and BMI might serve as an efficient prognostic indicator in resected NSCLC.

Prognostic Value of the Advanced Lung Cancer Inflammation Index in Patients with Lung Cancer: A Meta-Analysis

Background

The advanced lung cancer inflammation index (ALI) has been related to tumor survival in lung cancer (LC) patients. However, these findings regarding the prognostic relevance of ALI in LC were inconsistent. Our study is aimed at characterizing the prognostic significance of low pretreatment ALI in LC cases. Methods. Relevant published studies were systematically searched in several online databases. The combined hazard ratios (HRs) were applied to assess the correlation between ALI and overall/recurrence-free/progression-free survival (OS/PFS/RFS) in LC.

Results

A total of 1587 LC patients from eight articles were recruited. Pooled results indicated that pretreatment ALI was significantly associated with prognosis in cases with LC. Compared to those with high-ALI, LC cases in the low-ALI group had a poorer OS (HR: 1.64, 95% CI: 1.34-1.93, p < 0.001). Subgroup analyses further revealed the negative significant prognostic value of low ALI in LC. In addition, low ALI had obvious connection with inferior PFS/RFS (HR: 1.71, 95% CI: 1.35-2.07, p < 0.001) in LC patients.

Conclusions

Low ALI before treatments indicates poor prognosis in LC patients. Serum ALI may serve as a promising predictive tumor marker of survival in LC sufferers.

Prognostic Dynamic Nomogram Integrated with Inflammation-Based Factors for Non-Small Cell Lung Cancer Patients with Chronic Hepatitis B Viral Infection

Chronic inflammation plays an important role in tumor progression. The aim of this study was to develop an effective predictive dynamic nomogram integrated with inflammation-based factors to predict overall survival (OS) of non-small cell lung cancer (NSCLC) patients with chronic hepatitis B viral (HBV) infection. We retrospectively analyzed NSCLC patients with HBV infection from Sun Yat-sen University Cancer Center between 2008 and 2010. Univariate and multivariate Cox survival analyses were performed to identify prognostic factors associated with OS of patients. All of the independent prognostic factors were utilized to build the dynamic nomogram. The predictive accuracy of the dynamic nomogram was evaluated concordance index (C-index), decision curve analysis and were compared with previous reported model and traditional TNM staging system. According to the total points (TPS) by dynamic nomogram, we further stratified patients into different risk groups. A total of 203 patients were included. Multivariate Cox analysis showed TNM stage (P = 0.019), treatment (P < 0.001), C-reactive protein (P = 0.020) and platelet (P = 0.012) were independent prognostic factors of OS. The dynamic nomogram was established by involving all the factors above. The C-index of dynamic nomogram for predicting OS was 0.76 (95%CI: 0.72-0.80), which was statistically higher than that of traditional TNM staging system (0.70, 95%CI: 0.66-0.74, P<0.001). Decision curve analysis demonstrated that the dynamic nomogram was better than the TNM staging system. The predictive accuracy of the current model keeping almost the same accuracy as previous one. Based on the total points (TPS) of dynamic nomogram, we divided the patients into 3 subgroups: low risk (TPS ≤ 107), intermediate risk (107< TPS ≤ 149), and high risk (TPS > 149). The differences of OS rates were significant in the subgroups. We propose a novel dynamic nomogram model based on inflammatory prognostic factors that is highly predictive of OS in NSCLC patients with HBV infection and outperforms the traditional TNM staging system.

Advanced Lung Cancer Inflammation Index Predicts Outcomes of Patients with Pathological Stage IA Lung Adenocarcinoma Following Surgical Resection

Purpose: The correlation of advanced cancer with inflammation and/or nutrition factors is well known. Recently, the advanced lung cancer inflammation index (ALI) was developed as a new prognostic tool for patients with advanced lung cancer. In this study, we examined whether ALI results are correlated with prognosis of patients with early stage lung adenocarcinoma who undergo lung resection.

Methods: From January 2009 to December 2014, 544 patients underwent lung resection due to primary lung cancer at Dokkyo Medical University Hospital, of whom 166 with pathological stage IA lung adenocarcinoma were retrospectively investigated in this study. ALI was calculated as follows: Body Mass Index (BMI; kg/m²) × albumin (g/dL)/neutrophil- to-lymphocyte ratio (NLR).

Results: Multivariate analysis revealed that gender, red cell distribution width (RDW), NLR, and ALI were parameters significantly correlated with overall survival (OS). Patients with an ALI value less than 22.2 had an inferior 5-year OS rate as compared to those with a value of 22.2 or higher (p <0.001) as well as an inferior 5-year recurrence-free survival (RFS) rate (p <0.001).

Conclusion: Low ALI was correlated with poor prognosis in patients with stage IA lung adenocarcinoma. Those with an ALI value less than 22.2 should be carefully followed regardless of cancer stage.

Combination of Advanced Lung Cancer Inflammation Index and C-Reactive Protein Is a Prognostic Factor in Patients With Operable Non-Small Cell Lung Cancer

Background

Previous study of ours showed that advanced lung cancer inflammation index (ALI) and C-reactive protein (CRP) are independent significant prognostic factors in operable non-small cell lung cancer (NSCLC) patients. Since both ALI and CRP are markers of inflammation, the aim of this study was to examine whether the combination of ALI and CRP is a prognostic indicator of resected NSCLC or not.

Methods

Three hundred forty-one NSCLC patients who underwent surgery at our institution between 2008 and 2012 were included. ALI score was calculated as BMI × ALB/NLR with BMI indicating body mass index, ALB indicating serum albumin and NLR indicating neutrophil lymphocyte ratio. The prognostic significance of the combination of ALI and CRP was evaluated.

Results

Compared to patients with high ALI (> 37.67) group, low ALI group had significantly poorer cancer-specific survival. Similarly, patients with high CRP (> 0.15 mg/dL) had poorer survival. Based on the combination of ALI and CRP, patients with high ALI and low CRP were assigned an ALI_CRP score of 0, those with both high or both low were assigned an ALI_CRP score of 1, and those with low ALI and high CRP were assigned an ALI_CRP score of 2. The patients’ cancer-specific survival was significantly related to this ALI_CRP score. On multivariate analysis, gender, histology, pN status, serum carcinoembryonic antigen (CEA) level and the ALI_CRP score were associated independently with cancer-specific survival.

Conclusions

The combination of ALI and CRP is a useful predictor of overall survival and could be a simple prognostic tool to help identify operable NSCLC patients.