Pretreatment neutrophil-to-lymphocyte ratio predicts prognosis in patients with metastatic renal cell carcinoma receiving targeted therapy

The causal relationship between immune cells and different kidney diseases: A Mendelian randomization study

Studies have suggested that the progress of most kidney diseases from occurrence to course and subsequent related complications are closely related to inflammatory reaction. Increased common leukocytes count in the family (neutrophils, eosinophils, basophils, lymphocytes, etc.) are also involved in the tissue damage of kidney diseases. However, these studies are only traditional observational studies, which cannot prove whether there is a causal relationship between these four kinds of leukocytes count and kidney diseases. We aim to explore the causal relationship between these four kinds of leukocytes count and kidney diseases by Mendelian randomization (MR). Large sample size of the genome-wide association database of four cell traits (neutrophil, basophil, lymphocyte, and eosinophil cell counts) in the leukocyte family were used as exposure variables. The outcome variables were various renal diseases (including chronic renal failure, acute renal failure, hypertensive heart or/and kidney disease, hypertensive renal disease, disorders resulting from impaired renal tubular function, and type 1 diabetes with renal complications). The covariates used in multivariable MR are also four cell traits related to blood cells (neutrophil, basophil, lymphocyte, and eosinophil cell counts). Instrumental variables and single nucleotide polymorphic loci were identified (P < 5 × 10-8. Linkage disequilibrium R2 < 0.001). The causal relationships were studied by inverse variance weighted (IVW), weighted median, and MR-Egger regression. Sensitivity analysis was also performed. In our study, IVW analysis results showed that increased neutrophil cell count was a risk factor for chronic renal failure (OR = 2.0245861, 95% CI = 1.1231207-3.649606, P = 0.01896524), increased basophil cell count was a risk factor for chronic renal failure (OR = 3.975935, 95% CI = 1.4871198-10.62998, P = 0.005942755). Basophil cell count was not a risk factor for acute renal failure (OR = 1.160434, 95% CI = 0.9455132-1.424207, P = 0.15448828). Increased basophil cell count was a protective factor for hypertensive heart and/or renal disease (OR = 0.7716065, 95% CI = 0.6484979-0.9180856, P = 0.003458707). Increased basophil cell count was a risk factor for disorders resulting from impaired renal tubular function (OR = 1.648131, 95% CI = 1.010116-2.689133, P = 0.04546835). Increased lymphocyte cell count was a risk factor for hypertensive renal disease (OR = 1.372961, 95% CI = 1.0189772-1.849915, P = 0.03719874). Increased eosinophil cell count was a risk factor for type 1 diabetes with renal complications (OR = 1.516454, 95% CI = 1.1826453-1.944482, P = 0.001028964). Macrophage inflammatory protein 1b levels was a protective factor for renal failure (OR = 0.9381862, 95% CI = 0.8860402-0.9934013, P = 0.02874872). After multivariable MR was used to correct covariates (neutrophil, basophil, and lymphocyte cell counts), the correlation effect between increased eosinophil cell counts and type 1 diabetes with renal complications was still statistically significant (P = 0.02201152). After adjusting covariates (neutrophil, basophil, and eosinophil cell counts) with multivariable MR, the correlation effect between increased lymphocyte cell counts and hypertensive renal disease was still statistically significant (P = 0.02050226). This study shows that increased basophils can increase the relative risk of chronic renal failure and renal tubular dysfunction, and reduce the risk of hypertensive heart disease and/or hypertensive nephropathy, while increased basophil cell count will not increase the relative risk of acute renal failure, increased neutrophil cell count can increase the risk of chronic renal failure, increased lymphocyte cell count can increase the relative risk of hypertensive nephropathy, and increased eosinophil cell count can increase the relative risk of type 1 diabetes with renal complications. Macrophage inflammatory protein 1b levels was a protective factor for renal failure.

Identification of an immunogenic cell death-related gene signature predicts survival and sensitivity to immunotherapy in clear cell renal carcinoma

Immunogenic cell death (ICD) is the trigger of adaptive immune responses. However, the role of ICD-related genes in clear cell renal carcinoma (ccRCC) remains unclear. We aimed to identify biomarkers associated with ICD and develop an ICD-related predictive model that predicts the immune microenvironment, prognosis, and response to immunotherapy in ccRCC. Our study included 739 patients (603 in the training set and 136 in the validation set) with clinicopathologic information and transcriptome sequencing data. Consensus clustering, principal component analysis (PCA), weighted gene co-expression network analysis (WGCNA), univariate COX analysis, multivariate COX analysis, and the Lasso-Cox algorithm were applied to shrink predictors and construct a predictive signature of overall survival (OS). We used CIBERSORT, ESTIMATE, and TIMER in the R package IOBR to evaluate the tumor microenvironment and immune infiltration pattern of each sample. Finally, the single cell sequencing results of immune cells in ccRCC were used to verify the results of immune infiltration analysis, and the performance of the prognostic model was evaluated by calibration curves and c-index. This study revealed that inability of the initial immune response and primary immunodeficiency were significantly enriched in the ICD subgroup with poor prognosis. We found that the ten candidate ICD genes (CALR, ENTPD1, FOXP3, HSP90AA1, IFNB1, IFNG, IL6, LY96, PIK3CA, and TLR4) could affect the prognosis of ccRCC (p < 0.05). The prediction model (PRE) we constructed can not only predict the long-term survival probability but also evaluate the landscape of immune infiltration in ccRCC. Our study demonstrated that low infiltration of dendritic cells in ccRCC implies a poor prognosis, whereas the degree of CTL infiltration is less important. An individualized prediction model was created to predict the 1-, 2-, 3-, and 5-year survival and responsiveness of ccRCC patients to immunotherapy, which may serve as a potent tool for clinicians to make better treatment decisions and thus improve the overall survival (OS) of ccRCC patients in the future.

Development of a Novel KCNN4-Related ceRNA Network and Prognostic Model for Renal Clear Cell Carcinoma

Background. Clear cell renal cell carcinoma (ccRCC) accounts for more than 80% of renal cell carcinomas. Yet, it has not been fully understood about the derivation and progression of the tumor, as well as the long-term benefits from multimodality therapy. Therefore, reliable and applicable molecular markers are urgently needed for the prediction of diagnosis and prognosis of ccRCC patients. Methods. Genetic and clinical information of 533 ccRCC patients from The Cancer Genome Atlas database was collected for comprehensive bioinformatic analyses. UALCAN was used to detect gene expression in paired tumor samples. Two data sets from Gene Expression Omnibus database were analyzed to identify differentially expressed genes (DEGs), and Gene Set Enrichment Analysis was applied for the functional enrichment of DEGs. Tumor Immune Single Cell Hub and Tumor IMmune Estimation Resource databases were separately used for analyses of single-immune cell and immune cell infiltration. Encyclopedia of RNA Interactomes database was explored to predict targeted microRNAs (miRNAs) and corresponding long non-coding RNAs (lncRNAs). Cox regression analysis was performed for the construction of risk signature and prognosis model. Finally, quantitative real-time polymerase chain reaction and western blot were conducted for KCNN4 expression detection in cell lines and clinical samples. Small interfering RNA was employed to knock down KCNN4, and corresponding functional experiments were conducted on ccRCC cells as well. Results. KCNN4 showed elevated expression in tumors and prominent clinical correlation in ccRCC. In total, 41 KCNN4-related genes were enriched, and Gene Ontology and Kyoto Encyclopedia of Genes and Genomes analyses showed they were intimately related to immune-related signaling pathways. Spearman’s analysis revealed the significantly positive correlation of KCNN4 with immune cell infiltration. By integrating hub miRNA-let-7e-5p and four critical lncRNA, a competitive endogenous RNA network-based risk signature was constructed. The prognosis model derived from it showed considerable predictive value for survival of ccRCC patients. Finally, in vitro experiments confirmed the remarkable tumor-promoting role of KCNN4 in ccRCC cells. Conclusion. KCNN4 significantly affected the immune status of tumor microenvironment and immunotherapy elements, through which it promoted tumor progression in ccRCC, and it could be a potential biomarker for prognosis and immunotherapy effects of ccRCC patients.

KCNN4 is a potential prognostic marker and critical factor affecting the immune status of the tumor microenvironment in kidney renal clear cell carcinoma

Background

The tumor microenvironment (TME) has emerged as a crucial factor in cancer development and progression. Recent findings have indicated that tumor-infiltrating immune cells (TICs) in the TME may predict cancer prognosis and response to treatment. Herein, we sought to identify critical modulators of the kidney renal clear cell carcinoma (KIRC) TME.

Methods

KIRC datasets from The Cancer Genome Atlas (TCGA) were analyzed using the ESTIMATE algorithm to determine the ImmuneScore and StromalScore. By profiling the differentially expressed genes (DEGs) in the ImmuneScore and StromalScore, we finally identified the immune- and stromal-related DEGs of the cases, through which we then performed intersection analysis to determine the immune-related genes (IRGs). Cox regression analysis and least absolute shrinkage and selection operator (LASSO) regression analysis were used to identify critical IRGs and construct a prognostic model. The CIBERSORT algorithm was used to calculate the relative content of 22 immune cell types. Finally, the datasets from the Gene Expression Omnibus (GEO) database were analyzed to validate results from the above analyses. Experimental validation was used on KIRC tissues by quantitative polymerase chain reaction (qPCR) and western blot.

Results

We found that the ImmuneScore was negatively correlated with patients’ prognosis. Intersection analysis of the ImmuneScore and StromalScore identified 118 IRGs that were enriched in immune-related functions. Following IRGs screening by Cox and LASSO regression analyses, six genes were identified and used to construct a KIRC prognostic model. Intersection analysis of these six genes and protein-protein interaction (PPI) were performed and obtained the most critical gene: Potassium Calcium-Activated Channel Subfamily N Member 4 (KCNN4). Further analysis showed that KCNN4 expression was higher in tumor samples relative to normal controls, and was negatively correlated with prognosis. CIBERSORT analysis revealed significant correlation between KCNN4 expression and multiple types of TICs, demonstrating that KCNN4 may affect KIRC prognosis by influencing the TME immune status. Ultimately, the GEO datasets and validation experiments confirmed that KCNN4 was highly expressed in tumor tissues compared to the corresponding normal tissues.

Conclusions

Our study demonstrated that KCNN4 might be a potential prognostic marker in KIRC, offering a novel therapeutic avenue.

Neutrophil-lymphocyte ratio as a prognostic factor for survival in patients with advanced renal cell carcinoma (Turkish Oncology Group Study)

BACKGROUND

To describe the prognostic value of neutrophil-lymphocyte ratio and its effect on survival in in patients with advanced renal cell carcinoma.

METHODS

We retrospectively analyzed 331 patients. The cut-off value of neutrophil-lymphocyte ratio was specified as "3" which is mostly close-and also clinically easily applicable-to the median neutrophil-lymphocyte ratio level of our study group. High group is identified as neutrophil-lymphocyte ratio >3 (n = 160) and low group is identified as neutrophil-lymphocyte ratio ≤3 (n = 163).

RESULTS

A total of 331 (with 211 male and 120 female) patients were enrolled to study. The median age of the patients was 58. The International Metastatic RCC Database Consortium risk score is calculated for the 72.8% (n = 241) of the study group and among these patients, favorable, intermediate, and poor risk rates were 22, 45.2, and 32.8%. The total usage of tyrosine kinase inhibitors reached 78% of the patients. The median overall survival was 32 months versus 11 months in the neutrophil-lymphocyte ratio low and high groups, respectively (HR: 0.49 (95% CI 0.37-0.65), p < 0.001).

CONCLUSION

In conclusion, the pre-treatment value of elevated neutrophil-lymphocyte ratio might be a predictor of poor overall survival in advanced renal cell carcinoma patients.

The impact of neutrophil-lymphocyte ratio on risk reclassification of patients with advanced renal cell cancer to guide risk-directed therapy

Background: An elevated neutrophil-lymphocyte ratio (NLR) is associated with poor prognosis in advanced renal cell carcinoma (RCC). We examined whether the addition of NLR improves the risk reclassification of advanced RCC using current prognostic tools from the Memorial Sloan Kettering Cancer Center (MSKCC) and International Metastatic Renal Cell Carcinoma Database Consortium (IMDC).Methods: Using randomised data from the COMPARZ trial of first-line pazopanib vs. sunitinib in advanced RCC, we constructed multivariable models containing MSKCC and IMDC predictor variables with and without NLR. We evaluated model discrimination using the concordance index (C-index). We computed net reclassification improvement to quantify patient reclassification into low/intermediate/poor risk groups with the addition of NLR.Results: Of 1102 patients, NLR ≥ 5 (16%) was associated with shorter survival adjusting for MSKCC variables (adjusted HR 1.89, p < .001). Adding NLR to MSKCC variables increased the C-index by 0.01. Among patients who died before 24 months (N = 415), adding NLR reclassified 8% and 2% to a higher and lower risk category, respectively. Among those alive at 24 months (N = 636), adding NLR reclassified 4% and 1% to a higher and lower risk category, respectively. This finding translates to a net benefit of eight additional patients who die within 24 months correctly identified as poor risk per 1000 patients tested. We obtained similar results when evaluating NLR with IMDC variables.Conclusions: NLR does not substantially improve risk reclassification over pre-existing prognostic tools. MSKCC and IMDC classifications remain the standard for guiding risk-directed therapy and trial stratification of patients with advanced RCC.

Expression of PBRM1 as a prognostic predictor in metastatic renal cell carcinoma patients treated with tyrosine kinase inhibitor

OBJECTIVE

PBRM1, located on 3p21, functions as a tumor suppressor and somatic mutation of PBRM1 is frequent in clear cell renal cell carcinoma (ccRCC). This study aims to determine the influence of PBRM1 expression on the prognosis of patients with mRCC receiving tyrosine kinase inhibitor (TKI) treatment.

METHODS

We identified 116 mRCC patients who were administered sunitinib or sorafenib as first-line therapy, between January 2006 and December 2016 at our institution. PBRM1 expression was assessed by immunohistochemistry. The Kaplan-Meier method was used to estimate the progression-free survival (PFS) and overall survival (OS), log-rank test was used to compare the survival outcomes between patients with low and high PBRM1 expression levels, and the Cox proportional hazard regression model was used to estimate the prognostic value. Prognostic accuracy was determined using Harrell concordance index, and nomograms were built to evaluate the prognosis of mRCC.

RESULTS

Patients with low PBRM1 expression had significantly shorter median PFS (9 vs 26 months, P < 0.001) and OS (21 vs 44 months, P < 0.001) than those with high expression. Multivariate analysis showed that PBRM1 expression was an independent predictor of PFS (HR 1.975, P = 0.013) and OS (HR 2.282, P = 0.007). The model built by the addition of PBRM1 improved the C-index of PFS and OS to 0.72 and 0.82, respectively.

CONCLUSIONS

The expression of PBRM1 could be a significant prognostic factor for mRCC patients treated with targeted therapy, and it increases the prognostic accuracy of the established prognostic model.

Radiological Response and Neutrophil-to-Lymphocyte Ratio as Predictive Factors for Progression-Free and Overall Survival in Metastatic Renal Cell Carcinoma Patients Treated with Sunitinib

Renal cell carcinoma (RCC) represents 2-3% of all malignancies. Most RCC-related deaths are caused by metastases of the disease. Studies suggest that inflammation-related parameters are of prognostic significance in metastatic renal cell carcinoma (mRCC) patients. Neutrophilia and thrombocytosis are markers of systemic inflammation that accompanies cancer, while lymphopenia is related to dysfunctions of the immune system. Neutrophil-to-lymphocyte ratio (NLR) and platelet-to-lymphocyte ratio (PLR) thus seem particularly interesting from a clinical perspective. The goal of this study was to determine if the response to therapy, consisting of reductions in radiologically assessed tumor burden and in inflammation-related parameters after 12 weeks of treatment with sunitinib, has a predictive value for outcome. One hundred thirty-one mRCC patients treated with the first-line sunitinib were evaluated. Inflammation-related parameters and radiologic response were correlated with treatment outcomes, progression-free, and overall survival. We found that the longest median progression-free survival of 37 months (Q1; Q3-15; not reached) and overall survival of 40 months (Q1; Q3-26; not reached) were achieved by patients who had either partial or complete response according to RECIST 1.1 and NLR lower than 1.64. In conclusion, the study confirmed that both objective response and lower grade of inflammation during treatment are predictive of better outcomes in mRCC patients treated with sunitinib.

Association Between Pretreatment Neutrophil-to-Lymphocyte Ratio and Outcome of Patients With Metastatic Renal-Cell Carcinoma Treated With Nivolumab

BACKGROUND

Biomarkers to guide treatment in metastatic renal-cell carcinoma (mRCC) are lacking. We aimed to investigate the association between pretreatment neutrophil-to-lymphocyte ratio (NLR) and outcome of patients with mRCC receiving nivolumab.

PATIENTS AND METHODS

Through retrospective chart review, we identified 38 patients with mRCC treated with standard-of-care nivolumab between 2015 and 2016 at Winship Cancer Institute of Emory University. NLR was determined from complete blood count collected before starting treatment, and imaging was performed to assess progression. The NLR cutoff value of 5.5 was determined by log-rank test, and the univariate association with overall survival (OS) or progression-free survival (PFS) was assessed by the Cox proportional hazard model and Kaplan-Meier method.

RESULTS

The 38 patients had a median age of 69 years. The PFS and OS for all patients at 12 months was 54% and 69%, respectively. The median PFS was 2.6 months in the high NLR group but not reached in the low NLR group. Low NLR was strongly associated with increased PFS with hazard ratio of 0.20 (95% confidence interval, 0.07-0.64; P = .006). The median OS was 2.7 months in the high NLR group but not reached in the low NLR group. Low NLR was significantly associated with a prolonged OS with hazard ratio of 0.06 (95% confidence interval, 0.01-0.55; P = .012).

CONCLUSION

Pretreatment NLR < 5.5 is associated with superior PFS and OS. NLR is a biomarker that can inform prognosis for patients with mRCC and should be further validated in larger cohorts and in prospective studies.

Pretreatment neutrophil-to-lymphocyte ratio is associated with outcome of advanced-stage cancer patients treated with immunotherapy: a meta-analysis

BACKGROUND

To investigate the association between pretreatment blood neutrophil-to-lymphocyte ratio (NLR) and clinical outcomes for advanced-stage cancer patients treated with immunotherapy.

METHODS

We conducted a comprehensive literature search to assess the relationship between pretreatment blood NLR and overall survival (OS) or progression-free survival (PFS) in advanced-stage cancer patients treated with immunotherapy. Published data including hazard ratios (HRs) and related 95% confidence interval (CI) were extracted. Pooled estimates of treatment outcomes were calculated using RevMan 5.3.5.

RESULTS

Twenty-seven studies with 4647 patients were included in the current study. The pooled results suggested that high pretreatment blood NLR was correlated with significant shorter OS (HR = 1.98, 95% CI 1.66-2.36, P < 0.001) and PFS (HR = 1.78, 95% CI 1.48-2.15, P < 0.001). Subgroup analysis stratified by study targets revealed that anti-VEGF/VEGFR therapy (HR = 2.04, 95% CI 1.61-2.60, P < 0.001) and immune checkpoints blockade (HR = 2.16, 95% CI 1.86-2.51, P < 0.001) were significantly associated with inferior OS while other targets (HR = 1.63, 95% CI 0.89-2.99, P = 0.120) were not associated with OS. There was no correlation between distinct NLR cutoff values and OS ([Formula: see text] = 0.218, P = 0.329) or PFS benefit ([Formula: see text] = - 0.386, P = 0.140). Of note, HRs of PFS showed significant correlation with HRs of OS ([Formula: see text] = 0.656, P = 0.015).

CONCLUSION

Elevated pretreatment blood NLR was a promising prognostic and predictive biomarker for advanced-stage cancer patients treated with immunotherapy.

Optimal cut-off for neutrophil-to-lymphocyte ratio: Fact or Fantasy? A prospective cohort study in metastatic cancer patients

This study assessed the prognostic value of pre-treatment neutrophil-to-lymphocyte ratio (NLR) in patients with metastatic solid tumors. Clinical and biological data for patients with metastatic solid tumors treated in an oncology outpatient department and prospectively followed by a call center (PROCHE program) between January 2008 and December 2011 were analyzed. All patients with an NLR value within 28 days before the first cycle of first-line of chemotherapy were included (cohort 1). To assess influence of chemotherapy line on NLR prognostic value, data from patients treated with later chemotherapy lines were also analyzed (cohort 2). Adjusted multivariate Cox regressions with or without non-linear and time-dependent effects were performed. Optimal NLR cut-off was investigated by time-dependent sensitivity analysis using several indices. There were 317 and 134 patients in cohorts 1 and 2, respectively. Elevated NLR was associated with worse survival (hazard ratio [HR] for death, 1.35 [95% confidence interval 1.19-1.54]; p<0.0001). The optimal NLR cut-off in cohort 1 was dependent on index used and time of assessment: HR values were non-significant at a cut-off of 3.0 (1.34 [0.99-1.32], but significant when the cut-off was 4.0 (1.53 [1.11-2.10]). NLR was linearly related to mortality risk; in subgroup analysis, no significant interaction was found with co-variables or tumor localization overall (cohorts 1+2). Pre-treatment NLR is a useful prognostic tool in patients with metastatic solid tumors, irrespective of primary tumor site, chemotherapy line, age, gender and performance status. However, using an NLR cut-off value for clinical decision-making requires extreme caution.

Neutrophil-to-lymphocyte Ratio, Platelet-to-lymphocyte Ratio, and C-reactive Protein as New and Simple Prognostic Factors in Patients With Metastatic Renal Cell Cancer Treated With Tyrosine Kinase Inhibitors: A Systemic Review and Meta-analysis

BACKGROUND

Inflammation plays a crucial role in cancer development. In this study, we evaluate the prognostic values of systemic inflammation markers such as neutrophil-to-lymphocyte ratio (NLR), platelet-to-lymphocyte ratio (PLR), and C-reactive protein (CRP) for the progression-free survival and overall survival in patients with metastatic renal cell carcinoma treated with tyrosine kinase inhibitors.

MATERIALS AND METHODS

PubMed and the Cochrane Library databases were searched for published studies on the effect of NLR, PLR, and CRP in patients with metastatic renal cell carcinoma treated with tyrosine kinase inhibitors.

RESULTS

In the meta-analysis, NLR (hazard ratio [HR], 2.01; 95% confidence interval [CI], 1.27-3.18; P = .003) and PLR (HR, 6.96; 95% CI, 5.04-9.62; P < .001) had a significant influence on progression-free survival, whereas all considered proinflammatory markers had a significant impact on overall survival: NLR (HR, 2.14; 95% CI, 1.67-2.73; P < .001), PLR (HR, 14.67; 95% CI, 11.10-19.57; P < .001), and CRP (HR, 1.96; 95% CI, 1.26-3.05; P = .003).

CONCLUSIONS

Inflammation markers such as NLR, PLR, and CRP are predictors of clinical outcome and could provide additional information to individualize treatment.

Meta-analysis of the efficacy of the pretreatment neutrophil-to-lymphocyte ratio as a predictor of prognosis in renal carcinoma patients receiving tyrosine kinase inhibitors

The data on the impact of the neutrophil-to-lymphocyte ratio (NLR) in metastatic renal cell carcinoma (mRCC) patients receiving tyrosine kinase inhibitors (TKIs) are inconsistent. We therefore performed a meta-analysis to assess the prognostic value of pretreatment NLR in patients treated with TKIs for mRCC. We searched the Embase, Medline, PubMed, Cochrane and ISI Web of Knowledge to identify clinical studies that had evaluated the association between the pretreatment NLR and prognosis in mRCC patients. Prognostic outcomes included overall survival (OS) and progression-free survival (PFS). Nine studies encompassing a total of 1091 participants were included. We found that a high NLR was an effective prognostic marker of both OS (pooled HR: 1.93, 95% CI: 1.35-2.77; P = 0.0003) and PFS (pooled HR: 2.12, 95% CI: 1.42-3.17; P = 0.0002). Subgroup analysis revealed that studies reporting a NLR ≥ 3 showed a more significant effect of NLR on both OS (pooled HR: 2.50, 95% CI: 1.99-3.14; P = 0.0003) and PFS (pooled HR: 2.17, 95% CI: 1.26-3.75). This meta-analysis suggests that high pretreatment NLR is associated with a poor prognosis in mRCC patients receiving TKI treatment.

A nomogram based on preoperative inflammatory markers predicting the overall survival of pancreatic ductal adenocarcinoma

BACKGROUND AND AIMS

Developing a preoperative prediction model for estimating the risk of pancreatic ductal adenocarcinoma (PDAC) patients before pancreaticoduodenectomy is a difficult task. The purpose of current study was to develop a prognostic nomogram based on inflammatory markers for PDAC patients.

METHODS

Cox regression analysis was performed to calculate the overall survival (OS) and assess the prognostic factors based on 265 PDAC patients undergone surgery. The nomogram was built to estimate the probability of 1-year, 3-year, and 5-year OS. The predictive accuracy of nomogram was determined by concordance index, calibration curve, and time dependent receiver operating characteristics.

RESULTS

In multivariable Cox analysis, vascular invasion, Tumor Grade, TNM stage, neutrophil-to-lymphocyte ratio, platelet-to-lymphocyte ratio, and albumin/globulin ratio were significantly associated with OS, which were all assembled into nomogram. The calibration curves for probability of survival showed optimal agreement between nomogram prediction and actual observation. The concordance index for 1-year, 3-year and 5-year OS prediction were 0.860 (95% confidence intervals (CI): 0.837-0.885), 0.837 (95%CI: 0.819-0.856), and 0.809 (95%CI: 0.787-0.829), respectively. The area under time dependent receiver operating characteristics curve of 1-year, 3-year, and 5-year OS prediction were 0.938 (95%CI: 0.886-0.989), 0.844 (95%CI: 0.782-0.906), and 0.884 (95%CI: 0.792-0.976), suggesting high discriminative ability of nomogram. It allowed significant distinction survival outcomes by grouping the patients evenly into three subgroups after sorting by total points.

CONCLUSIONS

Based on clinicopathology characteristics and inflammatory markers, we developed a nomogram providing an individualized risk estimate for PDAC patients.

Association of post-treatment hypoalbuminemia and survival in Chinese patients with metastatic renal cell carcinoma

Background

Hypoalbuminemia adversely affects the clinical outcomes of various cancers. The purpose of this study was to estimate the prognostic value of hypoalbuminemia 3–5 weeks after treatment in patients with metastatic renal cell carcinoma (mRCC) who received sorafenib or sunitinib as first-line treatment.

Methods

In this single-center, retrospective study, we assessed the progression-free survival (PFS) and overall survival (OS) of 184 mRCC patients who received first-line sorafenib or sunitinib treatment. PFS and OS were compared between patients with post-treatment hypoalbuminemia (post-treatment albumin level <36.4 g/L) and those with normal post-treatment albumin level (albumin level ≥36.4 g/L). The Memorial Sloan Kettering Cancer Center (MSKCC) risk model stratified mRCC patients into three risk categories. Prognostic values of all patient characteristics including MSKCC risk category were determined by using univariate and multivariate Cox regression models. Prognostic value was further determined using the Harrell concordance index and receiver operating characteristic curve analysis.

Results

The median PFS and OS of the 184 patients were 11 months (95% confidence interval [CI] 9–12 months) and 23 months (95% CI 19–33 months), respectively. Patients with post-treatment hypoalbuminemia had significantly shorter median PFS (6 months [95% CI 5–7 months]) and OS (11 months [95% CI 9–15 months]) than patients who had normal post-treatment albumin levels (PFS: 12 months [95% CI 11–16 months], P < 0.001; OS: 31 months [95% CI 24–42 months], P < 0.001), respectively. Multivariate analysis showed that post-treatment hypoalbuminemia was an independent predictor of PFS (hazard ratio [HR], 2.113; 95% CI 1.390–3.212; P < 0.001) and OS (HR, 2.388; 95% CI 1.591–3.585; P < 0.001). Post-treatment hypoalbuminemia could also be combined with the MSKCC risk category for better prediction about OS. The model that included post-treatment hypoalbuminemia and MSKCC risk category improved the predictive accuracy for PFS and OS (c-index: 0.68 and 0.73, respectively) compared with the basic MSKCC risk model (c-index: 0.67 and 0.70, respectively). The prognostic values for PFS and OS of the integrated MSKCC risk model involving post-treatment hypoalbuminemia were significantly more accurate than the basic MSKCC risk model using likelihood ratio analysis (both P < 0.001).

Conclusions

Post-treatment hypoalbuminemia can be considered an independent prognostic factor for patients with mRCC who undergo first-line treatment with tyrosine kinase inhibitors. Additionally, integrating post-treatment serum albumin level into the basic MSKCC risk model can improve the accuracy of this model in predicting patient overall survival and progression-free survival.

Impact of neutrophil-to-lymphocyte ratio on effects of targeted therapy for metastatic renal cell carcinoma patients with extrapulmonary metastasis

INTRODUCTION

The aim of our present study was to investigate the impact of the pretreatment neutrophil-to-lymphocyte ratio (NLR) on the antitumour effects of targeted agents in patients with metastatic renal cell carcinoma (mRCC).

METHODS

The NLRs in 283 cases of molecular targeted therapy for mRCC were measured before starting the prescription of the molecular targeted agent. The significance of pretreatment NLR on the site of metastatic organs and on progression-free survival (PFS) in each case was analyzed.

RESULTS

Metastases other than lung, which is defined as "extrapulmonary metastasis," were observed in 190 cases (67.1%). The median of pretreated NLR was 2.39 (0.49-68.7). In 97 of the 283 cases, pretreated NLR was 3.0 or higher. These cases were categorized as the high NLR group and the rest as the low NLR group. When the cases with extrapulmonary metastasis were investigated and classified based on their pretreated NLR, 50% PFS in the high NLR and low NLR groups was 6.7 months and 12 months (p=0.0001), respectively. Multivariate analysis revealed that high NLR (>3.0) was an independent predictive factor for PFS in the cases with extrapulmonary metastasis (hazard ratio 2.762; p<0.0001), while there was no significant difference between PFS in the high and low NLR groups in cases with no extrapulmonary metastasis (p=0.3457).

CONCLUSIONS

Our data indicate that the predictive significance of the NLR in mRCC cases involving targeted therapy depends on the metastatic organs. NLR is an independent predictive factor of PFS in cases of mRCC with extrapulmonary metastasis treated with targeted therapy.

Predictive value of the modified Glasgow Prognostic Score for the therapeutic effects of molecular-targeted drugs on advanced renal cell carcinoma

Inflammation is considered to be a prognostic factor for renal cell carcinoma (RCC). An inflammation-based prognostic score (modified Glasgow Prognostic Score; mGPS) is widely used for preoperative patients; however, little information is available regarding its prognostic value in patients with RCC treated with molecular-targeted drugs. A total of 32 advanced and recurrent RCC patients initially treated with molecular-targeted drugs from October, 2009 to August, 2015 were retrospectively investigated. Information on patient characteristics prior to treatment initiation and the clinical course were retrieved from clinical records. The correlation between survival and patient variables was analyzed. Survival was compared among patient groups according to the mGPS score. The median patient age was 66 years. The percentage of patients with an Eastern Cooperative Oncology Group performance status of 0 or 1 was 87.5, and 65.6% of the RCCs were clear cell carcinomas. A Memorial Sloan-Kettering Cancer Center index of good or intermediate was determined for 75% of the patients. Sunitinib, pazopanib or sorafenib was administered to 56, 22 and 13% of the cases, respectively. An mGPS score of 0, 1 and 2 was calculated for 66, 9 and 25% of the cases, respectively. Patients in the mGPS low group (score 0) exhibited significantly better progression-free survival (PFS) and overall survival (OS) compared with patients in the mGPS high group (score 1 or 2) (median PFS, 307 vs. 70 days and median OS, 1,081 vs. 140 days, respectively). In conclusion, inflammatory status as assessed by the mGPS score was closely associated with the prognosis of RCC patients treated with molecular-targeted therapy.

Increased neutrophil-to-lymphocyte ratio after neoadjuvant therapy is associated with worse survival after resection of borderline resectable pancreatic ductal adenocarcinoma

BACKGROUND

The neutrophil-to-lymphocyte ratio (neutrophil count divided by lymphocyte count) is a marker of inflammation associated with poor cancer outcomes. The role of neutrophil-to-lymphocyte ratio in borderline resectable pancreatic ductal adenocarcinoma is unknown. We hypothesized that increased neutrophil-to-lymphocyte ratio in patients with borderline resectable pancreatic ductal adenocarcinoma after neoadjuvant therapy is inversely associated with survival.

METHODS

We used our borderline resectable pancreatic ductal adenocarcinoma database to identify patients who had completed neoadjuvant therapy and underwent resection. The neutrophil-to-lymphocyte ratio difference was calculated as the neutrophil-to-lymphocyte ratio after neoadjuvant therapy minus the neutrophil-to-lymphocyte ratio before neoadjuvant therapy. Patients were assigned to the increased neutrophil-to-lymphocyte ratio cohort if the difference was ≥2.5 units; all others were assigned to the stable neutrophil-to-lymphocyte ratio cohort. Statistical analyses were performed with t test and regression.

RESULTS

Of 62 patients identified, 43 were assigned to the stable neutrophil-to-lymphocyte ratio cohort, and 19 to the increased neutrophil-to-lymphocyte ratio cohort. There were no differences in stage, age, or sex. The preneoadjuvant neutrophil-to-lymphocyte ratio was 3.1 ± 2.4, whereas the postneoadjuvant neutrophil-to-lymphocyte ratio was 4.4 ± 3.5 (P = .002). Overall survival was worse in the increased neutrophil-to-lymphocyte ratio cohort compared with the stable neutrophil-to-lymphocyte ratio cohort (P = .009) with a Cox hazard ratio of 2.9 (P = .02). N0 disease conferred a survival advantage over N1 disease (Cox hazard ratio = 0.3, P = .01). On multivariate Cox hazard regression analysis, both increased neutrophil-to-lymphocyte ratio and N1 stage were associated with worse survival (P < .01).

CONCLUSION

This investigation shows an independent, inverse association between survival and decreased neutrophil-to-lymphocyte ratio in patients with borderline resectable pancreatic ductal adenocarcinoma. These findings support exploring predictive inflammatory biomarkers, such as neutrophil-to-lymphocyte ratio, to investigate inflammation and improve outcomes.