Prognostic Significance of Modified Advanced Lung Cancer Inflammation Index (ALI) in Patients with Small Cell Lung Cancer_ Comparison with Original ALI

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.

A novel nutritional inflammation index for predicting mortality in acute ischemic stroke patients: insights into advanced lung cancer inflammation index from the Medical Information Mart for Intensive Care-IV database

Objective

This investigation aimed to delineate the association between the advanced lung cancer inflammation index (ALI) and all-cause mortality (ACM) in individuals experiencing acute ischemic stroke (AIS).

Methods

Drawing on information from the Medical Information Mart for Intensive Care (MIMIC)-IV database, release 2.2, covering the years 2012 to 2019, this research assessed the advanced lung cancer inflammation index (ALI) by factoring in body mass index (BMI), serum albumin levels (ALB), and the neutrophil-to-lymphocyte ratio (NLR). Patients with AIS were identified using codes from the International Classification of Diseases (ICD). To address potential confounding factors, a 1:1 propensity score matching (PSM) method was utilized. The investigation identified the pivotal ALI level impacting patient survival using maximally selected rank statistics. It then examined the effects on short- and long-term ACM through multivariate Cox proportional hazards regression models and Kaplan-Meier (K-M) survival analysis. Additionally, restricted cubic spline (RCS) methods were applied to delve into the linear or nonlinear nature of the relationship between ALI and ACM, with further insights gained from interaction and subgroup analyses.

Results

The cohort comprised 838 AIS patients. Post-PSM, analysis involved 199 matched patient pairs. Adjusted Cox proportional hazard models indicated a significant association of low ALI (<10.38) with increased in-hospital ACM, both before (HR: 1.98; 95% CI: 1.36-2.88; p < 0.001) and after PSM (HR: 2.16; 95% CI: 1.32-3.52; p = 0.002). Associations of low ALI with elevated risk were consistent across ICU, 30 days, 90 days, and 1 year ACM pre- and post-PSM. Subsequent RCS analysis post-PSM underscored a negative nonlinear relationship between ALI and ACM over both short and long terms, without significant interaction effects across different subgroups for ACM.

Conclusion

In this retrospective cohort study, by utilizing a nationally representative sample of United States patients with AIS, our analysis elucidates a negative correlation between the ALI and ACM in individuals with AIS, underscoring the utility of ALI as a novel, efficacious, and accessible inflammatory biomarker for prognosticating ACM. These results carry profound implications for public health policy and practice. A deeper comprehension of these associations can empower public health practitioners and researchers to devise more targeted interventions and policies, aimed specifically at catering to the distinct needs of the AIS patient population, thereby enhancing their health outcomes. The further research in other races/ethnicity is urgent, particularly before applying these findings in clinical practice.

Exploring the implications of modified advanced lung cancer inflammation index on outcomes in patients with advanced non-small cell lung cancer

Aim

Sarcopenia and skeletal muscle density (SMD) have been shown to be both predictive and prognostic marker in oncology. Advanced lung cancer inflammation index (ALI) has been shown to predict overall survival (OS) in small cell lung cancer (SCLC). Computed tomography (CT) enables skeletal muscle to be quantified, whereas body mass index (BMI) cannot accurately reflect body composition. The purpose was to evaluate the prognostic value of modified ALI (mALI) using CT-determined third lumbar vertebra (L3) muscle index beyond original ALI and see the interaction between sarcopenia, SMD, neutrophil-lymphocyte ratio (NLR), ALI and mALI at baseline and post 4 cycles of chemotherapy and their effects on OS and progress free survival (PFS) in patients with advanced non-SCLC (NSCLC).

Methods

This retrospective study consisted of a total of 285 advanced NSCLC patients. The morphometric parameters such as SMD, skeletal muscle index (SMI) and fat-free mass (FFM) were measured by CT at the L3 vertebra. ALI was defined as BMI × serum albumin/NLR and mALI was defined as SMI × serum albumin/NLR.

Results

Sarcopenia was observed in over 70% of patients across all BMI categories. Patients having sarcopenia suffered from a higher incidence of chemotherapeutic drug toxicities but this was not found to be statistically significant. Concordance was seen between ALI and mALI in the pre-treatment setting and this was statistically significant. A significant proportion of patients with poor ALI (90.9%), poor pre-chemotherapy mALI (91.3%) and poor post-chemotherapy mALI (89%) had poor NLR and each of them was statistically significant.

Conclusions

In both univariate and multivariate analyses, this study demonstrated the statistical significance of sarcopenia, SMD, and mALI as predictive factors for OS. Additionally, sarcopenia and SMD were also found to be statistically significant factors in predicting PFS. These biomarkers could potentially help triage patients for active nutritional intervention for better outcomes.

Advanced lung cancer inflammation index predicts survival outcomes of hepatocellular carcinoma patients receiving immunotherapy

Objective

We evaluate the predictive significance of the Advanced Lung Cancer Inflammation Index (ALI) in patients with advanced hepatocellular carcinoma (HCC) following therapy with immune checkpoint drugs.

Methods

In 2018-2020, 98 patients with advanced hepatocellular carcinoma who were treated with immune checkpoint inhibitors at our hospital were compiled. Using the receiver operating characteristic (ROC) curve, the appropriate cut-off point for ALI was determined. Kaplan-Meier analysis, the Cox proportional hazards model, and Nomogram plots highlighted the relationship between ALI and overall survival (OS). The model was validated using calibration plots, receiver operating characteristic curves (ROC), and decision curve analysis (DCA), which was performed on 52 patient sets by external validation.

Results

The AUC for ALI was 0.663. The best cutoff value was 36.5, with a median overall survival (OS) of 473 days for patients with ALI≤ 36.5 and 611 days for those with ALI > 36.5. Univariate analysis revealed that the presence or absence of local treatment, alpha-fetoprotein (AFP), and ALI were prognostic factors; LASSO regression analysis identified four candidate variables. Multifactorial COX analysis revealed that high ALI was an independent prognostic factor for overall survival in both groups (HR = 0.411; 95% CI: 0.244-0.651; P<0.001). In addition, the Nomogram model that included ALI was able to predict the success of immunotherapy in patients with advanced liver cancer more accurately.

Conclusion

ALI is a novel prognostic marker in immunotherapy-treated patients with advanced hepatocellular cancer.

The prognostic value of the combination of body composition and systemic inflammation in patients with cancer cachexia

BACKGROUND

Changes in body composition and systemic inflammation are important characteristics of cancer cachexia. This multi-centre retrospective study aimed to explore the prognostic value of the combination of body composition and systemic inflammation in patients with cancer cachexia.

METHODS

The modified advanced lung cancer inflammation index (mALI), which combines body composition and systemic inflammation, was defined as appendicular skeletal muscle index (ASMI) × serum albumin/neutrophil-lymphocyte ratio. The ASMI was estimated according to a previously validated anthropometric equation. Restricted cubic splines were used to evaluate the relationship between mALI and all-cause mortality in patients with cancer cachexia. Kaplan-Meier analysis and Cox proportional hazard regression analysis were used to evaluate the prognostic value of mALI in cancer cachexia. A receiver operator characteristic curve was used to compare the effectiveness of mALI and nutritional inflammatory indicators in predicting all-cause mortality in patients with cancer cachexia.

RESULTS

A total of 2438 patients with cancer cachexia were enrolled, including 1431 males and 1007 females. The sex-specific optimal cut-off values of mALI for males and females were 7.12 and 6.52, respectively. There was a non-linear relationship between mALI and all-cause mortality in patients with cancer cachexia. Low mALI was significantly associated with poor nutritional status, high tumour burden, and high inflammation. Patients with low mALI had significantly lower overall survival (OS) than those with high mALI (39.5% vs. 65.5%, P < 0.001). In the male population, OS was significantly lower in the low mALI group than in the high group (34.3% vs. 59.2%, P < 0.001). Similar results were also observed in the female population (46.3% vs. 75.0%, P < 0.001). mALI was an independent prognostic factor for patients with cancer cachexia (hazard ratio [HR] = 0.974, 95% confidence interval [CI] = 0.959-0.990, P = 0.001). For every standard deviation [SD] increase in mALI, the risk of poor prognosis for patients with cancer cachexia was reduced by 2.9% (HR = 0.971, 95%CI = 0.943-0.964, P < 0.001) in males and 8.9% (HR = 0.911, 95%CI = 0.893-0.930, P < 0.001) in females. mALI is an effective complement to the traditional Tumour, Lymph Nodes, Metastasis (TNM) staging system for prognosis evaluation and a promising nutritional inflammatory indicator with a better prognostic effect than the most commonly used clinical nutritional inflammatory indicators.

CONCLUSIONS

Low mALI is associated with poor survival in both male and female patients with cancer cachexia and is a practical and valuable prognostic assessment tool.

The impact of the advanced lung cancer inflammation index on the outcomes of patients with metastatic colorectal cancer who receive chemotherapy

BACKGROUND

Advanced lung cancer inflammation index (ALI) is reported to be a prognosticator in various cancer patients with chemotherapy. However, the clinical impact of the ALI on treatment strategies in metastatic colorectal cancer (mCRC) patients remains unclear.

METHODS

A total of 356 patients, who received first-line chemotherapy for mCRC between April 2005 and November 2019 in a single institution, were retrospectively enrolled. The association of pretreatment ALI (calculated as follows: BMI × albumin value/neutrophil-to-lymphocyte ratio) status with clinicopathological factors and patient survival outcome was analyzed, using subgroup analysis.

RESULTS

The ALI-low cases were significantly associated with female sex, more synchronous metastasis, multiple metastatic sites, less primary tumor resection, less liver resection after chemotherapy, and poor overall survival (OS). A multivariate Cox proportional hazards analysis clarified that the ALI-low status was independently associated with poor OS (HR: 1.78, 95% CI 1.27-2.48, P = 0.001), in addition to right side tumor, multiple metastatic sites, and the non-performance of liver resection after chemotherapy. A subgroup analysis revealed that primary tumor resection and the resection of liver metastases after chemotherapy could not improve the prognosis of ALI-low cases in comparison with ALI-high cases, and the type of first-line chemotherapy did not significantly affect the association between the prognosis and the ALI status.

CONCLUSION

ALI comprehensively evaluates the prognostic host status and is a reliable prognosticator for the mCRC patients with chemotherapy. Calculating pretreatment ALI may serve as a cost-effective and easily available tool for constructing treatment strategies.

The value of the Advanced Lung Cancer Inflammation Index (ALI) in assessing the prognosis of patients with hepatocellular carcinoma treated with camrelizumab: a retrospective cohort study

Background

The Advanced Lung Cancer Inflammation Index (ALI) is considered a useful prognostic biomarker for clinical outcome in patients with malignancy. However, the prognostic value of ALI in patients with advanced hepatocellular carcinoma (HCC) is unclear. In this study we assessed the prognostic value of the ALI in patients with HCC treated with camrelizumab.

Methods

This retrospective study analyzed patients with advanced hepatocellular carcinoma treated with the ICI, camrelizumab alone or in combination at Henan Cancer Hospital from January 2017 to January 2020. Sixty-five patients were finally screened for at least 2 years of follow-up according to the inclusion criteria, with no significant differences in patient baseline data. The receiver operating characteristic (ROC) curve was used to determine the optimal cut-off point for the ALI which was compared to other clinical indicators for predicting survival. A Kaplan-Meier analysis and Cox proportional analysis were conducted to examine the association between the ALI and patient prognosis.

Results

The median overall survival (OS) for the overall group of patients was 383 days, the area under the curve for ALI was 0.815 and the optimal cut-off value for predicting OS was 34.65. The median OS for patients with an ALI score ≤34.65 was 336 days and that for patients with an ALI score >34.65 was 524 days. The univariate analysis showed that the Eastern Cooperative Oncology Group (ECOG) score, aspartate aminotransferase (AST) level, and the ALI score predicted OS. The multivariate analysis showed that the ALI score was an independent prognostic factor of OS in patients with advanced HCC who had been treated with immunotherapy [hazard ratio (HR) =0.285, 95% confidence interval (CI): 0.097-0.833, P=0.022]. A nomogram that included ALI performed well relative to the prediction of prognosis after immunotherapy for patients with advanced liver cancer.

Conclusions

The ALI may be a new prognostic marker in patients with advanced HCC undergoing immunotherapy.

Role of Peripheral Blood Markers for Detecting Response and Predicting Prognosis in Patients with Non-small-cell Lung Cancer Undergoing Neoadjuvant Therapy and Surgery

INTRODUCTION

To date, no validated predictors of response before neoadjuvant therapy (NAD) are currently available in locally advanced non-small-cell lung cancer (NSCLC). In this study, different peripheral blood markers were investigated before NAD (pre-NAD) and after NAD/before surgery (post-NAD) to evaluate their influence on the treatment outcomes.

METHODS

Patients affected by locally advanced NSCLC (cT1-T4/N0-2/M0) who underwent NAD followed by surgery from January 1996 to December 2019 were considered for this retrospective analysis. The impact of peripheral blood markers on downstaging post-NAD and on overall survival (OS) was evaluated using multivariate logistic and Cox regression models. Time to event analysis was performed by means of Kaplan-Meier survival curves and Log Rank tests at 5 years from surgery.

RESULTS

Two hundred and seventy-two consecutive patients were included. Most of the patients had Stage III NSCLC (83.5%). N2 disease was reported in 188 (69.1%) patients. Surgical resection was performed in patients with stable disease or downstaging post-NAD. Nodal downstaging was observed in 80% of clinical N2 (cN2) patients. The median follow-up of the total series was 74 months (range 6-302). Five-year OS in the overall population and in N2 population was 74.6% and 73.5%, respectively. The pre-surgery platelets level (PLT) (p = 0.019) and the variation (pre-NAD/post-NAD) of the neutrophil/lymphocyte ratio (p = 0.024) were identified as independent prognostic factors of OS. The preoperative PLT value (p value = 0.031) was confirmed as the only predictor of NAD response.

CONCLUSIONS

The clinical role of peripheral blood markers in locally advanced NSCLC needs to be further investigated. Based on these preliminary results, these factors may be used as auxiliary markers for the prediction of response to neoadjuvant treatment and as prognostic factors for stratification in multimodal approaches.

Application of the advanced lung cancer inflammation index for patients with coronavirus disease 2019 pneumonia: Combined risk prediction model with lung cancer inflammation index, computed tomography and chest radiograph

The purpose of the present study was to evaluate the feasibility of applying the advanced lung cancer inflammation index (ALI) in patients with coronavirus disease 2019 (COVID-19) and to establish a combined ALI and radiologic risk prediction model for disease exacerbation. The present study included patients diagnosed with COVID-19 infection in our single institution from March to October 2020. Patients without clinical information and/or chest computed tomography (CT) upon admission were excluded. A radiologist assessed the CT severity score and abnormality on chest radiograph. The combined ALI and radiologic risk prediction model was developed via random forest classification. Among 79 patients (age, 43±19 years; male/female, 45:34), 72 experienced improvement and seven patients experienced exacerbation after admission. Significant differences were observed between the improved and exacerbated groups in the ALI (median, 47.6 vs. 13.2; P=0.011), frequency of chest radiograph abnormality (24.7 vs. 83.3%; P<0.001), and chest CT score (CCTS; median, 1 vs. 9; P<0.001). For the accuracy of predicting exacerbation, the receiver-operating characteristic curve analysis demonstrated an area under the curve of 0.79 and 0.92 for the ALI and CCTS, respectively. The combined ALI and radiologic risk prediction model had a sensitivity of 1.00 and a specificity of 0.81. Overall, ALI alone and CCTS alone modestly predicted the exacerbation of COVID-19, and the combined ALI and radiologic risk prediction model exhibited decent sensitivity and specificity.

Prognostic Significance of Modified Advanced Lung Cancer Inflammation Index in Patients With Renal Cell Carcinoma Undergoing Laparoscopic Nephrectomy: A Multi-Institutional, Propensity Score Matching Cohort Study

Background

We conducted a multi-institutional clinical study to assess the prognostic value of the advanced lung cancer inflammatory index (ALI) and modified ALI (mALI) in patients with renal cell carcinoma (RCC).

Methods

We collected 440 patients who underwent laparoscopic nephrectomy at three centers from 2014 to 2019. ALI was defined as body mass index (BMI) × serum albumin (ALB)/neutrophil-to-lymphocyte ratio (NLR) and mALI as L3 muscle index × ALB/NLR. Kaplan-Meier curves, receiver operating characteristic (ROC) curves and Cox survival analysis were used to assess the effect of ALI and mALI on overall survival (OS). In addition, we performed 1:1 propensity score matching (PSM) for the high mALI and low mALI groups to further explore the impact of mALI on survival in RCC patients.

Results

The optimal cut-off values for ALI and mALI were 40.6 and 83.0, respectively. Based on the cut-off values, we divided the patients into high ALI and low ALI groups, high mALI and low mALI groups. ALI and mALI were significantly associated with the AJCC stage, Fuhrman grade, T stage, and M stage. Low ALI (p = 0.002) or low mALI (p < 0.001) was associated with poorer prognosis. ROC curves showed that mALI was a better predictor of OS than ALI. Multivariate Cox regression analysis showed that low mALI (aHR = 2.22; 95% CI 1.19–4.13, p = 0.012) was an independent risk factor for OS in RCC patients who underwent nephrectomy, while ALI (aHR = 1.40; 95% CI 0.73–2.66, p = 0.309) was not significantly associated. Furthermore, after PSM analysis, we found that mALI remained an independent risk factor for OS (aHR = 2.88; 95% CI 1.33–6.26, p = 0.007) in patients with RCC.

Conclusions

For RCC patients undergoing laparoscopic nephrectomy, low ALI and low mALI were associated with poor prognosis, and preoperative mALI can be used as a potential independent prognostic indicator for RCC 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.

Therapeutic Potential of Ursolic Acid in Cancer and Diabetic Neuropathy Diseases

Ursolic acid (UA) is a pentacyclic triterpenoid frequently found in medicinal herbs and plants, having numerous pharmacological effects. UA and its analogs treat multiple diseases, including cancer, diabetic neuropathy, and inflammatory diseases. UA inhibits cancer proliferation, metastasis, angiogenesis, and induced cell death, scavenging free radicals and triggering numerous anti- and pro-apoptotic proteins. The biochemistry of UA has been examined broadly based on the literature, with alterations frequently having been prepared on positions C-3 (hydroxyl), C12-C13 (double bonds), and C-28 (carboxylic acid), leading to several UA derivatives with increased potency, bioavailability and water solubility. UA could be used as a protective agent to counter neural dysfunction via anti-oxidant and anti-inflammatory effects. It is a potential therapeutic drug implicated in the treatment of cancer and diabetic complications diseases provide novel machinery to the anti-inflammatory properties of UA. The pharmacological efficiency of UA is exhibited by the therapeutic theory of one-drug → several targets → one/multiple diseases. Hence, UA shows promising therapeutic potential for cancer and diabetic neuropathy diseases. This review aims to discuss mechanistic insights into promising beneficial effects of UA. We further explained the pharmacological aspects, clinical trials, and potential limitations of UA for the management of cancer and diabetic neuropathy diseases.

Body composition and inflammation impact in non-small-cell lung cancer patients treated by first-line immunotherapy

Background: Immunotherapy changed the landscape of non-small-cell lung cancer (NSCLC). Efforts were made to implement its action. This study aims to describe body composition, nutritional and inflammatory status in NSCLC patients treated by first-line immunotherapy, their correlation, variation and impact. Patients and methods: We retrospectively analyzed 44 consecutive patients who received pembrolizumab treatment. Results: During the therapy, inflammation and visceral fat increased, whereas muscle and subcutaneous fat decreased. Parameters related to inflammation had an interesting prognostic impact. High numbers of white blood cells remained significantly correlated with a high risk of death in multivariate model. Conclusion: For the best treatment choice, a combination of clinical and biological factors will be most likely be necessary. Prospective and larger studies with a multidimensional approach are needed.

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.

Clinical significance of the cachexia index in patients with small cell lung cancer

Background

Cancer cachexia worsens the treatment outcomes of patients with small-cell lung cancer (SCLC). However, no reliable biomarker of cancer cachexia is yet known.

Methods

We retrospectively evaluated male SCLC patients who received induction chemotherapy or concurrent chemoradiotherapy. The cachexia index (CXI) was calculated as skeletal muscle index × serum albumin level (g/dL)/neutrophil-to-lymphocyte ratio. The CXI cutoff according to tumor stage was determined based on a time-dependent receiver operating characteristic curve, and all patients were divided into low- and high-CXI groups.

Results

Of 267 patients, 83 and 24 patients with limited-stage disease (LD) and 123 and 37 patients with extensive-stage disease (ED) were assigned to the high- and low-CXI groups, respectively. Only one of 24 patients (4.2%) with LD in the low-CXI group achieved a complete response (CR), whereas 30 of 83 patients (36.1%) with LD in the high-CXI group achieved CRs (p = 0.004). More low-CXI patients required early discontinuation of treatment because of treatment-related toxicity compared to the high-CXI patients (37.5% vs. 16.9%, respectively, p = 0.030, for LD patients; 27.0% vs. 11.4%, respectively, p = 0.019, for ED patients). The median progression-free survival (PFS) and overall survival (OS) were significantly shorter in the low-CXI group than the high-CXI group (6.3 vs. 11.1 months and 7.5 vs. 20.6 months, respectively, both p <  0.001 for LD patients; 2.9 vs. 6.3 months and 5.8 vs. 12.8 months, respectively, both p <  0.001, for ED patients). On multivariate analysis, low-CXI status was an independent poor prognostic factor for both PFS and OS regardless of the tumor stage.

Conclusion

A low CXI was associated with treatment intolerance, poor treatment response rate, and poor prognosis in SCLC.

Supplementary Information

The online version contains supplementary material available at 10.1186/s12885-021-08300-x.

Prognostic Significance of the L3 Skeletal Muscle Index and Advanced Lung Cancer Inflammation Index in Elderly Patients with Esophageal Cancer

Objective

To evaluate the correlation between the advanced lung cancer inflammation index (ALI) and the L3 skeletal muscle index (L3SMI) and their prognostic value in elderly patients with esophageal cancer (EC).

Materials and Methods

The clinical data of 158 elderly patients with EC were collected retrospectively. The L3SMI measures the area of skeletal muscle at the level of the third lumbar (L3) vertebra using computed tomography (CT). A high L3SMI and low L3SMI group were created using sex-based quartiles. The ALI, prognostic nutrition index (PNI), and geriatric nutrition risk index (GNRI) were calculated according to standard laboratory protocols.

Results

The CT diagnostic criteria for senile sarcopenia in South China are height ≤32.96 cm²/m² for females and height ≤35.4 cm²/m² for males. The logistic regression analysis showed that a low L3SMI was significantly associated with a low ALI. Survival analysis revealed EC patients with a low L3SMI and a low ALI had poorer overall survival (OS) than patients with a high L3SMI and a high ALI. Univariate and multivariate Cox analyses showed that the L3SMI and ALI were independent predictors of EC prognosis in elderly individuals.

Conclusion

There was a significant correlation between the PNI, GNRI, ALI, and L3SMI. Overall, our findings show the L3SMI and ALI are clinical indicators that can potentially be used to independently predict the prognosis of elderly EC patients and display good predictive value.

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.

Inflammation scores as prognostic biomarkers in small cell lung cancer: a systematic review and meta-analysis

BACKGROUND

Inflammation scores based on general inflammation markers as leucocyte count or C-reactive protein have been evaluated as prognostic markers of inferior survival in several cancers. In small cell lung cancer (SCLC), however, inflammation scores are less studied. In the present study, we set out to perform a systematic review and meta-analysis investigating reported associations between inflammation scores and overall survival (OS) in SCLC.

METHODS

A literature search was performed in PubMed, Embase, Scopus, and Web of Science following the Preferred Reporting Items for Systematic and Meta-Analyses (PRISMA) guidelines. Of the identified publications, only studies in English containing original data evaluating inflammation scores as a prognostic factor in SCLC patients were included. Hazard ratios (HRs) for OS were pooled in a random-effects model.

RESULTS

In total, 33 articles were included evaluating eight different inflammation scores in 7762 SCLC patients. Seven of the identified scores were based on leucocyte count. Neutrophil-to-lymphocyte ratio (NLR) and platelet-to-lymphocyte (PLR) ratio were the most frequently evaluated scores (NLR: n = 23; PLR: n = 22). For NLR, a meta-analysis including 16 studies demonstrated that patients with a high NLR had a significantly shorter OS compared to patients with a low NLR (pooled HR = 1.39 (95% CI, 1.23-1.56)). For PLR, an association with survival could not be confirmed in a meta-analysis performed based on eight studies (pooled HR = 1.20 (95% CI, 0.96-1.51)).

CONCLUSIONS

This review identifies that inflammation scores based on general inflammation markers have some potential as prognostic biomarkers in SCLC. The meta-analyses indicated that NLR is associated with inferior OS, whereas an association between PLR and OS could not be confirmed. Thus, NLR could be a useful biomarker of OS in SCLC patients.

SYSTEMATIC REVIEW REGISTRATION

The protocol for the study was submitted to the PROSPERO database (registration number CRD42020188553 ).

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 Influence of Systemic Inflammation Response Index on Survival Outcomes of Limited-Stage Small-Cell Lung Cancer Patients Treated with Concurrent Chemoradiotherapy

Background

Recent studies have indicated that the systemic inflammation response index (SIRI) can efficiently predict survival outcomes in various tumor types. Thusly, in absence of comparable investigations in limited-stage small-cell lung cancers (LS-SCLCs), we aimed to retrospectively evaluate the prognostic utility of SIRI in LS-SCLC patients treated with concurrent chemoradiotherapy (CRT). Patients and Methods. Present multi-institutional retrospective analysis incorporated LS-SCLC patients treated with CRT at three academic radiation oncology centers between January 2007 and December 2018. The SIRI was calculated by using the peripheral blood neutrophil (N), monocyte (M), and lymphocyte (L) counts acquired in the last ≤7 days before the commencement of the CRT: SIRI = N × M/L. Accessibility of pretreatment SIRI cutoff that may stratify the study population into two gatherings with distinctive overall survival (OS) results was evaluated by utilizing the receiver operating characteristic (ROC) curve analysis. Primary objective was the association between the SIRI values and the OS results.

Results

Search for the availability of an ideal SIRI cutoff that may stratify the entire patients' population into two particular groups with distinctive OS outcomes identified the 1.93 value (area under the curve (AUC): 72.9%; sensitivity: 74.6%; specificity: 70.1%): Group 1: SIRI <1.93 (N = 71) and Group 2: SIRI ≥1.93 (N = 110), respectively. At a median follow-up of 17.9 (95% CI: 13.2-22.6) months, 47 (26.0%) patients were still alive (47.9% for SIRI <1.93 versus 18.3% for SIRI ≥1.93; p < 0.001). Kaplan-Meier comparisons between the two SIRI groups showed that the SIRI <1.93 cohort had significantly longer median OS (40.5 versus 14.2 months; p < 0.001) than the SIRI ≥1.93 cohort. Similarly, the 3- (54% versus 12.6%) and 5-year (33% versus 9.9%) OS rates were also numerically superior in the SIRI <1.93 cohort. Results of the multivariate analyses uncovered that the prognostic significance of the SIRI on OS outcomes was independent of the other confounding variables.

Conclusions

The results of this retrospective multi-institutional cohort analysis suggested that a pre-CRT SIRI was a strong and independent prognostic biomarker that reliably stratified LS-SCLC patients into two cohorts with significantly different OS outcomes.

The advanced lung cancer inflammation index predicts outcomes in patients with Crohn's disease after surgical resection

AIM

Precise biomarkers for predicting prognosis could help to identify high-risk Crohn's disease (CD) patients to facilitate better follow-up during the postoperative course. In this study, the primary aim is the identification of the most reliable nutrition marker that predicts surgical relapse in CD patients.

METHOD

We first evaluated the predictive value of various nutrition markers for postoperative surgical relapse in CD patients and identified the advanced lung cancer inflammation index (ALI) as a promising biomarker. Then, we assessed the clinical significance of preoperative ALI in CD patients using two cohorts.

RESULTS

Preoperative ALI showed the highest correlation with reoperation rate compared with other nutritional parameters in CD patients receiving surgical resection (sensitivity 53%, specificity 86%, area under the curve 0.71). Lower levels of preoperative ALI were significantly correlated with the presence of perianal disease. A lower level of preoperative ALI was an independent prognostic factor for reoperation rate after an intestinal resection (hazard ratio 3.37, 95% CI 1.38-10.12, P = 0.006), and the prognostic impact of preoperative ALI was successfully validated in an independent cohort using the same cut-off value.

CONCLUSION

Preoperative ALI might be useful for postoperative management of CD patients.

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.

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.

Analysis of systemic inflammatory biomarkers in neuroendocrine carcinomas of the lung: prognostic and predictive significance of NLR, LDH, ALI, and LIPI score

Background:

Lung neuroendocrine carcinoma (NEC) is characterized by aggressive clinical behavior and lack of treatment advances. We evaluate the prognostic and the predictive roles of systemic inflammatory biomarkers in patient circulating blood: neutrophil–lymphocyte ratio (NLR), lactate dehydrogenase (LDH), advanced lung cancer inflammation index (ALI), and the Lung Immune Prognostic Index (LIPI) score.

Methods:

A total of 120 patients with small-cell lung cancer (SCLC) (n = 110) and large cell neuroendocrine carcinoma (LCNEC) (n = 10) were enrolled. Overall survival (OS) was evaluated by Kaplan–Meier estimator and univariate and multivariate Cox proportional hazard analyses were performed to determine prognostic factors associated with OS while χ² test was used for categorical data.

Results:

NLR cutoff value was 1.93. NLR was measured before and after first-line chemotherapy; 25 (21%) patients had higher NLR (delta NLR >1), whereas NLR was lower in 37 (31%). At the univariate analysis, median OS was 12 months: OS for SCLC and LCNEC were 11 months and 14 months, respectively. OS had a prognostic positive value in patients with pre-treatment NLR <1.93 (p = 0.0002), LDH <600 U/L (p = 0,03) and ALI ⩾34 (p = 0,0065). At the multivariate analysis, Eastern Cooperative Oncology Group performance status, LDH levels and response after first-line chemotherapy were independently associated with OS. Median OS for good, intermediate, and poor LIPI was 15 months, 11 months, and 9 months, respectively(p = 0.091). Patients with higher NLR (>1.93) had an increased probability of tumor progression (p = 0.045, χ² test).

Conclusion:

This study demonstrated that systemic inflammatory biomarkers could facilitate the understanding of survival differences in the clinical management of lung NEC patients, underlying the need for prospective biomarker-driven studies in the immune checkpoint inhibitors setting.

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 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.

Prognostic Usefulness Of Advanced Lung Cancer Inflammation Index In Locally-Advanced Pancreatic Carcinoma Patients Treated With Radical Chemoradiotherapy

BACKGROUND/AIMS

Previously advanced lung cancer inflammation index (ALI) has been demonstrated to have prognostic utility in the stratification of patients into distinctive survival groups, but the prognostic value of ALI has never been explored in the setting of locally advanced pancreatic carcinomas (LAPC) treated with concurrent chemoradiotherapy (CCRT). Hence, we aimed to investigate the prognostic value of pre-treatment ALI in LAPC patients who underwent radical CCRT.

METHODS

Present retrospective cohort analysis incorporated 141 LAPC patients who received radical CCRT. Accessibility of baseline ALI cutoff(s) impacting survival outcomes was sought by receiver operating characteristic (ROC) curve analysis. Interaction between the ALI and overall- (OS) and progression-free survival (PFS) comprised our primary and secondary endpoints, respectively.

RESULTS

At a median follow-up of 14.4 months (range: 3.2-74.2), the median PFS and OS were 7.5 (%95 CI: 5.9-9.1) and 14.6 months (%95 CI: 11.6-17.6), respectively. ROC curve analyses set the ideal ALI cutoff value at 25.3 (AUC: 75.6%; sensitivity: 72.7%; specificity: 70.3%) that exhibited significant associations with both the OS and PFS results. Patient stratification into two groups per ALI [≤25.3 (N=75) versus>25.3 (N=66)] showed that the ALI>25.3 group had significantly superior median OS (25.8 versus 11.4 months; P<0.001) and PFS (15.9 versus 6.0 months; P<0.001) durations than its ALI≤25.3 counterpart. Other factors exhibiting significantly better OS and PFS rates were N0 stage (versus N1; P<0.05 for each endpoint) and CA 19-9 ≤90 U/mL (versus >90 U/mL; P<0.05 for each endpoint), respectively. These three factors were additionally asserted to be independent indicators of longer OS (P<0.05 for each) and PFS (P<0.05 for each) in multivariate analyses.

CONCLUSION

Results of this hypothesis-generating research proposed the pre-CCRT ALI as a novel robust associate of OS and PFS outcomes for LAPC patients undergoing CCRT.

Body Mass Index (BMI), BMI Change, and Overall Survival in Patients With SCLC and NSCLC: A Pooled Analysis of the International Lung Cancer Consortium

INTRODUCTION

The relationships between morbid obesity, changes in body mass index (BMI) before cancer diagnosis, and lung cancer outcomes by histology (SCLC and NSCLC) have not been well studied.

METHODS

Individual level data analysis was performed on 25,430 patients with NSCLC and 2787 patients with SCLC from 16 studies of the International Lung Cancer Consortium evaluating the association between various BMI variables and lung cancer overall survival, reported as adjusted hazard ratios (aHRs) from Cox proportional hazards models and adjusted penalized smoothing spline plots.

RESULTS

Overall survival of NSCLC had putative U-shaped hazard ratio relationships with BMI based on spline plots: being underweight (BMI < 18.5 kg/m2; aHR = 1.56; 95% confidence interval [CI]:1.43-1.70) or morbidly overweight (BMI > 40 kg/m2; aHR = 1.09; 95% CI: 0.95-1.26) at the time of diagnosis was associated with worse stage-specific prognosis, whereas being overweight (25 kg/m2 ≤ BMI < 30 kg/m2; aHR = 0.89; 95% CI: 0.85-0.95) or obese (30 kg/m2 ≤ BMI ≤ 40 kg/m2; aHR = 0.86; 95% CI: 0.82-0.91) was associated with improved survival. Although not significant, a similar pattern was seen with SCLC. Compared with an increased or stable BMI from the period between young adulthood until date of diagnosis, a decreased BMI was associated with worse outcomes in NSCLC (aHR = 1.24; 95% CI: 1.2-1.3) and SCLC patients (aHR=1.26 (95% CI: 1.0-1.6). Decreased BMI was consistently associated with worse outcome, across clinicodemographic subsets.

CONCLUSIONS

Both being underweight or morbidly obese at time of diagnosis is associated with lower stage-specific survival in independent assessments of NSCLC and SCLC patients. In addition, a decrease in BMI at lung cancer diagnosis relative to early adulthood is a consistent marker of poor survival.

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.

Small cell lung cancer starting with diabetes mellitus: Two case reports and literature review

BACKGROUND

Small-cell lung cancer (SCLC) is a type of fatal tumor that is increasing in prevalence. While these are unpleasant facts to consider, it is vitally important to be informed, and it is important to catch the disease early. Typically, lung cancer does not show severe clinical symptoms in the early stage. Once lung cancer has progressed, patients might present with classical symptoms of respiratory system dysfunction. Thus, the prognosis of SCLC is closely related to the early diagnosis of the disease. Ectopic adrenocorticotropic hormone (ACTH) syndrome (EAS) is related to cancer occurrence, especially for SCLC with the presence of Cushing's syndrome, which is dependent on markedly elevated ACTH and cortisol levels.

CASE SUMMARY

In the current report, we describe two middle-age patients who were originally diagnosed with diabetes mellitus with no classical symptoms of lung cancer. The patients were eventually diagnosed with SCLC, which was confirmed by bronchoscopic biopsy and histopathology. SCLC-associated diabetes was related to EAS, which was an endogenous ACTH-dependent form of Cushing’s syndrome with elevated ACTH and cortisol levels. Multiple organ metastases were found in Patient 1, while Patient 2 retained good health at 2 years follow-up. EAS symptoms including thyroid dysfunction, hypercortisolism and glucose intolerance were all resolved after anticancer treatment.

CONCLUSION

In conclusion, SCLC might start with diabetes mellitus and increased cortisol and hypokalemia or other EAS symptoms. These complex clinical features were the most significant factors to deteriorate a patient’s condition. Early diagnosis and treatment from clinicians were essential for the anti-cancer treatment for patients with SCLC.

The prognostic significance of the advanced lung cancer inflammation index in patients with unresectable metastatic colorectal cancer: a retrospective study

BACKGROUND

Growing evidence indicates that inflammation contributes to cancer progression, and several inflammatory markers have been reported to be associated with the clinical outcomes in patients with various types of cancer. Recently, the advanced lung cancer inflammation index (ALI) has been developed as a prognostic marker in patients with lung cancer. The difference between the ALI and the inflammatory markers reported in the previous studies is that the ALI contains not only indices related to inflammation but also the body mass index (BMI), which was reported to correlate with the sarcopenic status. The aim of this study was to evaluate the prognostic significance of the ALI in patients with unresectable metastatic colorectal cancer.

METHODS

We retrospectively reviewed a database of 159 patients who underwent combination chemotherapy for unresectable metastatic colorectal cancer between 2008 and 2016. The BMI was calculated by dividing the weight by height squared. The neutrophil-to-lymphocyte ratio (NLR) was calculated from a blood sample by dividing the absolute neutrophil count by the absolute lymphocyte count. The ALI was defined as follows: ALI=BMI × serum albumin concentration/NLR.

RESULTS

The overall survival rate was significantly worse in the low-ALI group than in the high-ALI group (p < 0.0001). Furthermore, the ALI was an independent prognostic factor for the overall survival (hazard ratio: 2.773, 95% confidence interval: 1.773-4.335, p < 0.001).

CONCLUSIONS

A newly developed prognostic marker, the ALI, was found to be a novel prognostic marker in patients with unresectable metastatic colorectal cancer as well as in patients with lung cancer.

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

OBJECTIVES

The usefulness of a recently developed advanced lung cancer inflammation index (ALI) has been reported in advanced non-small-cell lung cancer (NSCLC) and small-cell lung cancer. However, no previous studies have examined the prognostic significance of ALI in patients with operable NSCLC. Therefore, the aim of this study was to explore the relationship between ALI and the prognosis of resected NSCLC.

METHODS

Three hundred and forty-three patients with NSCLC who underwent surgery at our institution between 2008 and 2012 were included. The ALI score was calculated as body mass index × serum albumin/neutrophil to lymphocyte ratio. A Web-based software programme [Cutoff Finder (http://molpath.charite.de/cutoff/)] was used to determine the optimal cut-off value for ALI. The Kaplan-Meier methods and a multivariable Cox proportional hazards model were used to evaluate the potential prognostic factors.

RESULTS

The optimal cut-off value of ALI was defined as 37.66. The low-ALI group (ALI < 37.66) displayed more adverse clinical characteristics. Furthermore, compared with patients in the high-ALI group (ALI > 37.66), those in the low-ALI group had significantly poorer survival rates. On multivariable analysis, gender, histological diagnosis, pN status, serum carcinoembryonic antigen level, serum C-reactive protein level and ALI were associated independently with cancer-specific survival.

CONCLUSIONS

This study is the first to investigate whether ALI is useful for predicting postoperative survival in patients with NSCLC. Preoperative ALI might serve as a potentially clinically valuable marker of the prognosis for patients with operable NSCLC.

Impact of inflammatory markers on survival in patients with limited disease small-cell lung cancer undergoing chemoradiotherapy

Background

Systemic inflammation appears to play a role in the progression of numerous solid tumors by promoting tumor proliferation. Our current study aimed to evaluate the role of inflammatory markers in limited disease (LD) small-cell lung cancer (SCLC) patients undergoing thoracic chemoradiotherapy (TCR).

Patients and methods

We retrospectively analyzed a total number of 350 SCLC patients diagnosed with LD SCLC who received TCR between 1999 and 2017 and had available blood tests within 2 weeks prior to the start of TCR. Serum C-reactive protein (CRP), neutrophil-to-lymphocyte ratio (NLR), lactate dehydrogenase (LDH), hemoglobin (Hb) levels, and platelet count (Pc) were evaluated as potential inflammatory markers. Kaplan–Meier survival analysis was performed for overall survival (OS). For comparison of survival curves, the log-rank (Mantel–Cox) test was used. Univariate and multivariate Cox proportional HRs were used to assess the influence of cofactors on OS.

Results

Univariate analysis for OS revealed a statistically significant effect for LDH >400 U/L (HR 2.05 U/L; 95% CI 1.29–3.26 U/L; P=0.002), prophylactic cranial irradiation (PCI; HR 0.58; 95% CI 0.40–0.85; P=0.005), CRP >50 mg/L (HR 1.49 mg/L; 95% CI 1.05–2.10 mg/L; P=0.026), and Karnofsky performance scale (KPS) <70% (HR 1.35%; 95% CI 1.02–1.80%; P=0.035). NLR, age (>70 years), Hb levels, and Pc did not influence survival. In multivariate analysis, OS was significantly affected by PCI (HR 0.64; 95% CI 0.43–0.94; P=0.026), LDH >400 U/L (HR 1.91 U/L; 95% CI 1.21–3.05 U/L; P=0.006), and CRP >50 mg/L (HR 1.43 mg/L; 95% CI 1.01–2.04 mg/L; P=0.045). KPS (≤70%) did not influence survival in multivariate analysis.

Conclusion

Elevated CRP and LDH seem to be the independent prognostic factors for OS in LD SCLC patients undergoing TCR. However, elevated NLR was not found to be an independent prognostic factor for OS if taken prior to TCR. LDH and CRP are easily available blood tests and do not require additional resources for routine use and could be useful for clinical decision making.

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.

Incidence, Risk Factors, and Effect on Survival of Immune-related Adverse Events in Patients With Non-Small-cell Lung Cancer

Immunotherapy is a mainstay of treatment for nonesmall-cell lung cancer. Serious immune-related adverse events (irAEs) occur; however, their effect on survival is unclear, and no defined risks factors have been elucidated. In the present study, we found no significant effect of irAE on survival in a landmark analysis, and no increased risk of pneumonitis in patients with previous radiation.

Does advanced lung inflammation index (ALI) have prognostic significance in metastatic non-small cell lung cancer?

BACKGROUND

Lung cancer is the most commonly diagnosed and death-related cancer type and is more frequent in males. Non-small-cell lung cancer (NSCLC) accounts for about 85% of all case. In this study, it was aimed to research the relationship between advanced lung inflammation index (ALI) and the primary mass maximum standardized uptake value (SUVmax) and C-reactive protein (CRP) at initial diagnosis and the prognostic value of ALI in determining the survival in metastatic NSCLC.

METHODS

A total of 112 patients diagnosed as stage 4 non-small-lung cancer in our hospital between January 2006 and December 2013 were included in this study. ALI was calculated as body mass index (BMI) × serum albumin/neutrophil-to-lymphocyte ratio (NLR). The patients were divided into two groups as ALI < 18 (high inflammation) and ALI ≥ 18 (low inflammation). The log-rank test and Cox proportional hazard model were used to identify predictors of mortality.

RESULTS

Evaluation was made of 94 male and 18 female patients with a mean age of 59.7 ± 9.9 years. A statistically significant negative relationship was determined between ALI and CRP values (P < .001), but no relationship was found between ALI and SUVmax values (P = .436). The median survival time in patients with ALI < 18 was 12 months and, in those with ALI ≥ 18, it was 16 months (P = .095).

CONCLUSION

ALI is an easily calculated indicator of inflammation in lung cancer patients. Values <18 can be considered to predict a poor prognosis.