A novel, externally validated inflammation-based prognostic algorithm in hepatocellular carcinoma: the prognostic nutritional index (PNI)

Prognostic Nutritional Index, Tumor-infiltrating Lymphocytes, and Prognosis in Patients with Esophageal Cancer

OBJECTIVE

To determine whether prognostic nutritional index (PNI) affects clinical outcome through local immunity in esophageal cancers.

BACKGROUND

PNI is an indicator of nutritional status and systemic immune competence, and has attracted attention as a prognostic biomarker. Tumor-infiltrating lymphocytes (TILs) are a specific histological feature of human cancers, reflecting an individual's immunological tumor response.

METHODS

Using a nonbiased database of 337 curatively resected esophageal cancers, we evaluated the relationship between PNI, TILs status, CD8 expression by immunohistochemical staining, and clinical outcome.

RESULTS

Compared with PNI-high cases (n = 220), PNI-low cases (n = 117) showed significantly worse overall survival (log-rank P < 0.001; hazard ratio: 2.23; 95% confidence interval: 1.56-3.18; P < 0.001; multivariate hazard ratio: 1.67; 95% confidence interval: 1.14-2.44; P = 0.008). The TILs status was also significantly correlated with overall survival (P < 0.001). In addition, PNI was significantly associated with TILs status (P < 0.001) and the CD8-positive cell count (P = 0.041). A significant relationship between the peripheral blood lymphocyte count and TILs status was also observed (P < 0.001).

CONCLUSIONS

PNI and TILs score expression were associated with clinical outcome in esophageal cancer, supporting their roles as prognostic biomarkers. Considering the relationship between PNI and TILs, nutritional status and systemic immune competence may influence patient prognosis through local immune response.

Preoperative Systemic Immune-Inflammation Index (SII) for Predicting the Survival of Patients with Stage I-III Gastric Cancer with a Signet-Ring Cell (SRC) Component

Background

Recently, a novel systemic immune-inflammation index (SII) based on peripheral lymphocytes, neutrophils, and platelets has been reported to be correlated with patient prognosis in several malignancies, including gastric cancer. However, the prognostic value of the SII for gastric cancer patients with a signet-ring cell (SRC) component has not yet been reported. In this study, we aimed to assess the prognostic value of the SII in gastric cancer patients with an SRC component after curative resection.

Methods

This study was a retrospective analysis of 512 GC patients with an SRC component who underwent curative resection. The prognostic value of the SII was analyzed by the Kaplan-Meier method and Cox proportional hazards regression model.

Results

In our study cohort, an optimal cut-off value for the SII of 527 was used to stratify patients with gastric cancer (GC) into low (<527) and high SII (≥527) groups. Our study indicated that a high SII (≥527) was significantly correlated with a large tumor size (p < 0.001), infiltration of serosa (p < 0.001), lymph node metastasis (p < 0.001), and advanced TNM stage (p < 0.001). Univariate and multivariate analyses further demonstrated that a low SII was correlated with better clinical outcome and was an independent prognostic predictor in GC patients with an SRC component. Furthermore, the SII retained prognostic value in the subgroup analysis, including subgroup of different TNM stages and pure or mixed signet-ring cell carcinomas (SRCCs).

Conclusion

The SII is a simple, promising, and practical prognostic biomarker for patients with surgically resected mixed SRCC and pure SRCC. The SII could complement current prognostic tools for better treatment planning and stratification of patients.

Inflammatory Markers Predicting Pathological Complete Response in Cases with Breast Cancer Treated by Neoadjuvant Chemotherapy

Objective

Response to neoadjuvant chemotherapy (NAC) is predictive for survival times in some patients with breast cancer (BC). The aim of this study is to explore the predictive value of some inflammatory markers including neutrophil-to-lymphocyte ratio (NLR), derived neutrophil-to-lymphocyte ratio (dNLR), monocyte-to-high density lipoprotein ratio (MHR) and prognostic nutritional index (PNI) in cases with BC treated with NAC.

Materials and Methods

One hundred and ten patients with BC treated with NAC were included in the study. Measurements for NLR, dNLR, MHR and PNI were calculated with available formulas. The value of NLR, dNLR, MHR and PNI in predicting pCR to NAC in BC was analyzed using receiver operating characteristic (ROC) curve analysis. All analyses were performed using the SPSS statistical software package (SPSS statistics 21.0).

Results

Mean NLR values were 2.2±0.8 vs. 2.6±1.3 for pCR (+) and pCR (-) groups (p=0.603). Mean dNLR values were 1.5±0.5 vs. 1.9±0.8 for pCR (+) and pCR (-) groups, respectively and this was statistically significant (p=0.022). Mean MHR values were 15.4±17.2 vs. 13.2±10.1 for pCR (+) and pCR (-) groups (p=0.406). Mean PNI values were 52±5.1 vs. 49±5.8 for pCR (+) and pCR (-) groups, and this was statistically significant (p=0.015). In multiple logistic regression analysis PNI was found to be independent factor for pCR.

Conclusion

In this study pre-treatment dNLR and PNI were found to be predictive for pCR while NLR and MHR were not found to be associated with pCR. PNI and dNLR are simple but useful biomarkers predicting response to NAC.

Impact of prognostic nutritional index on outcomes in patients with Mycobacterium avium complex pulmonary disease

Onodera’s prognostic nutritional index (PNI) is useful in predicting prognosis of various diseases. But the usefulness of PNI in non-surgical patients has not been sufficiently proven yet. In patients with mycobacterium avium complex pulmonary disease (MAC-PD), malnutrition is an important factor that affects the quality of life and morbidity. Here, we aimed to evaluate whether PNI is related with clinical outcomes in MAC-PD patients. We examined 663 patients diagnosed with MAC-PD between May 2005 and November 2017. PNI score was calculated at the time of diagnosis and treatment initiation, and patients were divided into malnutrition and non-malnutrition groups according to a cut-off PNI score of 45. As the recommended duration of treatment for MAC-PD is 12 months following sputum conversion, treatment duration less than 12 months was defined as treatment intolerance. Survivals were compared with the log-rank test. Multivariate logistic regression and multivariate Cox proportional hazards models were used to estimate the odds ratio (OR) and hazards ratio (HR) for treatment intolerance and mortality, respectively. Of the 306 patients that received treatment, 193 received treatment longer than 12 months. In the multivariable logistic regression model, malnutrition at the time of treatment initiation was related with treatment intolerance (OR: 2.559, 95% confidence interval [CI]: 1.414–4.634, P = 0.002). Patients in the malnutrition group at the time of diagnosis exhibited lower survival (P<0.001) and malnutrition at the time of diagnosis was a significant risk for all-cause mortality (HR: 2.755, 95% CI: 1.610–4.475, P<0.001). Malnutrition, as defined by PNI, is an independent predictor for treatment intolerance and all-cause mortality in patients with MAC-PD.

Preoperative Prognostic Nutritional Index is a Significant Predictor of Survival in Esophageal Squamous Cell Carcinoma Patients

Background: Preoperative assessment of patients is meaningful to predict survival in patients with malignant tumors. The prognostic nutritional index (PNI) is one of the most significant factors related to the prognosis in various types of cancer; however, its role in esophageal cancer is still inconclusive. The aim of this study was to identify the prognostic value of PNI in predicting overall survival (OS) in esophageal squamous cell carcinoma (ESCC).Methods: This retrospective study included 4146 ESCC patients, 3812 who underwent esophagectomy for ESCC. Other 334 had no surgery. The Preoperative PNI was measured before any therapies and calculated as 10 × serum albumin (g/dL) + 0.005 × total lymphocyte count (per mm3). We classified the patients into three categories according to the PNI, >50, 45-50, and <45.Results: Our study showed that PNI was associated with age (P<0.0001), gender(P<0.001),tumor length (P<0.0001), T grade (P = 0.001), N staging (P = 0.017),and M staging (P<0.0001). Multivariate analysis showed that PNI was a significant predictor of overall survival Lower PNI vs. Higher PNI group had significantly increased the hazard ratio of ESCC survival (OR = 1.2, 95% CI= 1.05-1.5, p = 0.01). The Kaplan-Meier curve suggested that high PNI group will significantly increase the OS in both surgical and non-surgical group.Conclusion: PNI is a useful predictive factor for long-term survival in ESCC. The survival rate of ESCC can be discriminated between three groups, PNI, >50, 45-50, and <45. The prognostic value of PNI can be applied for both surgical and non-surgical ESCC patients.

Development of a Novel Inflammation-Based Index for Hepatocellular Carcinoma

BACKGROUND

The aim of current study was to (1) construct and validate a novel hepatocellular carcinoma (HCC)-specific inflammatory index; (2) compare the performances of the Integrated Liver Inflammatory Score (ILIS) to existing 4 inflammatory indices in HCC; (3) explore the association between the inflammatory indices and systemic/intratumoral inflammatory markers.

METHODS

Two cohorts from Hong Kong (HK; n = 1,315) and Newcastle (n = 574) were studied. A novel index was constructed from the HK training set (n = 627). The index was constructed from the training set by combing independent prognostic circulating parameters, followed by validating in the validation set of HK cohort (n = 688) and the Newcastle cohort. Its prognostic performance was compared to 4 inflammatory indices, namely, the neutrophil to lymphocyte ratio, platelet-to-lymphocyte ratio, prognostic nutrition index, and systemic immune-inflammation index, were compared in the HK cohort. Circulating cytokines and intratumoral gene expression were analyzed in a subset of patients with available samples and correlated with the inflammatory indices.

RESULTS

In the training set of the HK cohort, the ILIS, was generated: -0.057 × albumin (g/L) + 0.978 × log (Bilirubin, µmol/L) + 1.341 × log (alkaline phosphatase, IU/L) + 0.086 × Neutrophil (10⁹/L) + 0.301 × log (alpha-fetoprotein, µg/L). With cutoff of 2.60 and 3.87, the ILIS could categorize patients into 3 risk groups in the both validation cohorts. ILIS outperforms other inflammatory indices and remains an independent prognosticator for overall survival after adjustment with Barcelona Clinic Liver Cancer (hazard ratio 31.90, p < 0.001). The ILIS had the best prognostic performances as compared to other inflammatory indices. In exploratory analyses, the ILIS correlated with circulating inflammatory cytokines (e.g., IL-8) but not with any intratumoral inflammatory gene expression.

CONCLUSIONS

ILIS is an HCC-specific prognostic index built on 5 readily available blood parameters. Its versatility is validated both Eastern and Western population of HCC. The score is correlated with levels of circulating cytokines.

The Effect of Inflammatory Markers on Survival in Advanced Biliary Tract Carcinoma Treated with Gemcitabine/Oxaliplatin Regimen

BACKGROUND

In advanced biliary tract carcinoma (BTC), the prognosis is very poor, and the overall survival is less than 1 year. This study aimed to determine the effect of neutrophil-to-lymphocyte ratio (NLR), derived neutrophil-to-lymphocyte ratio (dNLR), C-reactive protein (CRP)/albumin ratio (CAR), and prognostic nutritional index (PNI) on the survival of BTC patients treated with gemcitabine/oxaliplatin (GEMOX) regimen.

METHODS

Data of 53 patients with advanced BTC were evaluated retrospectively. Association between inflammatory markers and 6-month PFS and 12-month OS were compared by the log-rank test. The optimal cutoff values were determined by a receiver operating characteristic (ROC) curve analysis. NLR, dNLR, CAR, and PNI were grouped based on cutoff points 1.95, 1.15, 0.57, and 33, respectively. Univariate and multivariate analyses were used to assess their prognostic values for survival.

RESULTS

Lower dNLR (< 1.15) was prognostic for higher 6-month PFS and 12-month OS rates, while lower NLR (< 1.95) was prognostic for higher 6-month PFS rates only. CAR and PNI did not have statistically significant effects on survival.

CONCLUSIONS

Pretreatment dNLR and NLR values in advanced BTC can be used as predictive markers for survival in patients undergoing the GEMOX regimen.

Predictive value of CONUT score combined with serum CA199 levels in postoperative survival of patients with pancreatic ductal adenocarcinoma: a retrospective study

Background

The preoperative controlling nutritional status (CONUT) score and serum carbohydrate antigen 199 (CA199) levels are individually correlated with the prognosis of pancreatic ductal adenocarcinoma (PDAC). The objective of this study aimed to investigate the efficacy of CONUT score and CA199 (CONUT-CA199) combination in predicting the prognosis of PDAC patients undergoing radical surgery.

Methods

We retrospectively analyzed the preoperative CONUT scores and serum CA199 levels of 294 patients with PDAC who underwent radical resection at the Affiliated Hospital of Southwest Medical University between March 2012 and July 2019. Patients were divided into four groups on the basis of their preoperative CONUT scores and serum CA199 levels: CONUT^low/CA199^low (1), CONUT^low/CA199^high (2), CONUT^high/CA199^low (3) and CONUT^high/CA199^high (4). The prognostic effects were compared among the groups.

Results

CONUT^high was more frequent in patients with positive peripancreatic infiltration and Clavien–Dindo classification of ≥IIIa (P < 0.001). Kaplan–Meier analysis revealed obvious difference in overall survival (OS) and recurrence-free survival (RFS) among patients with PDAC having CONUT-CA199 scores of 1, 2, 3 and 4 (P < 0.001). Peripancreatic infiltration, lymph node metastasis, pTNM stage, CONUT score, serum CA199 levels and CONUT-CA199 classification were found to be the independent prognostic factors for OS and RFS in multivariate analyses. In time-dependent receiver operating characteristic (ROC) analyses, the area of the CONUT-CA199 score under the ROC curve (AUC) was higher than that of the preoperative CONUT score or serum CA199 levels for the prediction of OS and RFS.

Conclusion

CONUT-CA199 classification may be more effective in predicting the postoperative prognosis of PDAC patients.

Significance of neutrophil-to-lymphocyte ratio, platelet-to-lymphocyte ratio, lymphocyte-to-monocyte ratio and prognostic nutritional index for predicting clinical outcomes in T1-2 rectal cancer

Background

Inflammation-related parameters have been revealed to have prognostic value in multiple caners. However, the significance of some inflammation-related parameters, including the peripheral blood neutrophil-to-lymphocyte ratio (NLR), platelet-to-lymphocyte ratio (PLR), lymphocyte-to-monocyte ratio (LMR) and prognostic nutritional index (PNI), remains controversial in T1–2 rectal cancer (RC).

Methods

Clinical data of 154 T1–2 RC patients were retrospectively reviewed. The cut-off values for NLR, PLR, LMR, and PNI were determined by receiver operating characteristic curves. The relationships of these parameters with postoperative morbidities and prognosis were statistically analysed.

Results

The optimal cut-off values for preoperative NLR, PLR, LMR and PNI were 2.8, 140.0, 3.9, and 47.1, respectively. Significant but heterogeneous associations were found between NLR, PLR, LMR and PNI and clinicopathological factors. In addition, high NLR, high PLR, and low PNI were correlated with an increased postoperative morbidity rate. Patients with high NLR/PLR or low LMR/PNI had lower OS and DFS rates. On multivariate analysis, only high NLR was identified as an independent risk factor for poor DFS.

Conclusions

NLR, PLR, and PNI are valuable factors for predicting postoperative complications in T1–2 RC patients. A preoperative NLR of more than 2.8 is an independent prognostic factor for poor DFS in T1–2 RC patients.

The prognostic nutritional index might predict clinical outcomes in patients with idiopathic dilated cardiomyopathy

BACKGROUND AND AIMS

The prognostic nutritional index (PNI) had been associated with adverse outcomes in numerous clinical conditions. However, its influence on idiopathic dilated cardiomyopathy (DCM) was not determined. This aim of this study was to determine the predictive ability of PNI in patients with idiopathic DCM.

METHODS AND RESULTS

A total of 1021 consecutive patients with idiopathic DCM were retrospectively included and divided into three groups based on admission PNI tertiles: <41.7 (n = 339), 41.7-47.3 (n = 342), >47.3 (n = 340). The association of PNI with in-hospital major adverse clinical events (MACEs) and death during follow-up was evaluated. In-hospital mortality (2.9% vs. 1.5% vs. 0.0%, respectively; p = 0.006) and MACEs (13.6% vs. 6.7% vs. 3.5%, respectively; p < 0.001) decreased from the lowest to the highest PNI tertile. The optimal cut-off value of PNI to predict in-hospital MACEs was 44.0 (area under the curve: 0.689; 95% confidence interval [CI]: 0.626-0.753; p < 0.001). Multivariate analysis showed that a PNI≤44.0 was an independent risk factor of in-hospital MACEs (odd ratio: 2.86; 95% CI: 1.64-4.98; p < 0.001) and all-cause mortality at a median follow-up of 27 months (hazard ratio: 1.67; 95% CI: 1.11-2.49; p = 0.013). In addition, patients with a PNI≤44.0 had a lower cumulative survival rate during follow-up (log-rank: 35.62; p < 0.001).

CONCLUSION

The PNI was an independent risk factor for in-hospital MACEs and all-cause mortality at a median follow-up of 27 months in patients with idiopathic DCM; hence, it may be considered a tool for risk assessment.

Preoperative prognostic nutritional index as an independent prognostic factor for resected ampulla of Vater cancer

Introduction

Prognostic nutritional index (PNI) reflects the nutritional and immunologic status of the patients. The clinical application of PNI is already well-known in various kinds of solid tumors. However, there is no study investigating the relationship between PNI and oncological outcome of the resected ampulla of Vater (AoV) cancer.

Materials and methods

From January 2005 to December 2012, the medical records of patients who underwent pancreaticoduodenectomy for pathologically confirmed AoV cancer were retrospectively reviewed. Long-term oncological outcomes were compared according to the preoperative PNI value.

Result

A total of 118 patients were enrolled in this study. The preoperative PNI was 46.13±6.63, while the mean disease-free survival was 43.88 months and the mean disease-specific survival was 55.3 months. In the multivariate Cox analysis, initial CA19-9 (p = 0.0399), lymphovascular invasion (p = 0.0031), AJCC 8^th N-stage (p = 0.0018), and preoperative PNI (p = 0.0081) were identified as significant prognostic factors for resected AoV cancer. The disease-specific survival was better in the high preoperative PNI group (≤48.85: 40.77 months vs. >48.85: 68.05 months, p = 0.0015). A highly accurate nomogram was developed based on four clinical components to predict the 1, 3, and 5-year disease-specific survival probability (C-index 0.8169, 0.8426, and 0.8233, respectively).

Conclusion

In resected AoV cancer, preoperative PNI can play a significant role as an independent prognostic factor for predicting disease-specific survival.

Prognostic Nutritional Index and Clinical Response in Locally Advanced Cervical Cancer

Background: The prognostic nutritional index (PNI), a marker of immune-nutrition balance, has predictive value in the survival and prognosis of various cancers. However, the impact of PNI on response to chemoradiation is poorly understood.Materials and Methods: A total of 583 women with locally advanced cervical cancer from two centers were clinically assessed for complete response after chemoradiation. The baseline PNI was individually recorded, and the significance of association between PNI and complete response was analyzed using logistic regression. ROC (receiver operating characteristics) curves were analyzed to determine the cutoff value of PNI that significantly predicted complete response.Results: Logistic regression analysis demonstrated that the PNI was significantly associated with complete response following chemo radiation (p < 0.0001). Analysis of the ROC curve for PNI demonstrated an optimal cut off value of 44.8 (p < 0.0001, sensitivity 66.7, and specificity 88.5); the area under the ROC curve was 0.813 (Youden's index J, 0.7519).Conclusions: The PNI is significantly associated with clinical complete response to chemoradiation in locally advanced cervical cancer. Low baseline PNI may lower the likelihood of complete response after chemoradiation. In particular, those with PNI values below 44 should be carefully monitored during treatment; nutritional interventions may offer benefit in these women.

Prognostic Nutritional Index is a Predictor of Free Flap Failure in Extremity Reconstruction

The nutritional condition of patients is an important prognostic factor in various diseases. Free flap failure is a serious complication in patients undergoing free flap reconstruction, increasing morbidity and hospital costs. We evaluated the predictive factors, including the prognostic nutritional index (PNI), associated with free flap failure in extremity reconstruction. The PNI was calculated as follows: 10 × serum albumin (g/dL) + 0.005 × total lymphocyte count (per mm³), with a PNI <40 defined as low. Univariate and multivariate logistic regression analyses were performed to evaluate factors predictive of free flap failure. Postoperative outcomes, including duration of hospital stay and rate and duration of intensive care unit admission, were also evaluated. Of the 625 patients included, 38 (6.1%) experienced free flap failure. Multivariate logistic regression analysis revealed that predictors of free flap failure were female (odds ratio: 2.094; p = 0.031) and a low PNI (odds ratio: 3.859; p <0.001). The duration of hospital stay was significantly longer in patients who did than those who did not experience free flap failure (62.1 ± 55.5 days vs. 28.3 ± 24.4 days, p <0.001). A low PNI is associated with free flap failure, leading to prolonged hospital stay. This result suggests that the PNI can be simply and effectively used to predict free flap failure.

Developments in predictive biomarkers for hepatocellular carcinoma therapy

Introduction: Hepatocellular carcinoma (HCC) is the most common primary tumor of the liver and the third largest cause of cancer-relateddeaths worldwide. Potentially curative treatments (surgical resection, radiofrequency or liver transplantation) are only available for few patients, while transarterial chemoembolization (TACE) or systemic agents are the best treatments for intermediate and advanced stage disease. The identification of markers that allow us to choose the best treatment for the patient is urgent.Areas covered: In this review we summarize the potential biological markers to predict the efficacy of all treatment available in patients with HCC and discuss anew biomarker with ahigher potential of success in the next future.Expert opinion: HCC is aheterogeneous disease. Tumors are heterogeneous in terms of genetic alteration,with spatial heterogeneity in cellular density, necrosis and angiogenesis.This heterogeneity may affect prognosis and treatment. Tumor heterogeneity can be difficult to quantify with traditional imaging due to subjective assessment of images; the same for sampling biopsy, which evaluates only asmall part of the tumor. We think that combining multi-OMICSwith radiomics represents apromising strategy for evaluating tumor heterogenicity and for identifying biomarkers of response and prognosis.

Prognostic nutritional index is superior as a predictor of prognosis among various inflammation-based prognostic scores in patients with hepatocellular carcinoma after curative resection

AIM

There is increasing evidence that inflammation-based prognostic scores are stage-independent predictors of poor outcome in patients with hepatocellular carcinoma (HCC). However, these findings were observed in a small-sized study comparing the prognostic value of these scores for patients after curative resection for HCC.

METHODS

We retrospectively analyzed 717 consecutive patients with HCC who underwent curative liver resection at Hiroshima Red Cross Hospital & Atomic Bomb Survivors Hospital. Clinicopathological variables including preoperative inflammation-based prognostic scores, such as neutrophil-to-lymphocyte ratio, platelet-to-lymphocyte ratio, Controlling Nutritional Status score, prognostic nutritional index (PNI), and Glasgow Prognostic Score were analyzed. The prognostic value of these scores was compared by the time-dependent receiver operating characteristic curve analyses.

RESULTS

The integrate area under the curve of PNI, Controlling Nutritional Status score, neutrophil-to-lymphocyte ratio, platelet-to-lymphocyte ratio, and Glasgow Prognostic Score were 0.6751, 0.6435, 0.5845, 0.5276, and 0.5351 for overall survival (OS), respectively, and 0.5955, 0.5694, 0.4692, 0.4873, and 0.5272 for disease-free survival, respectively. Multivariate analyses for prognosis factor in HCC patients showed that PNI was an independent predictor of both OS (HR 0.91, P < 0.001) and disease-free survival (HR 0.94, P < 0.001). When the patients were divided into high and low PNI groups, the patients in the low PNI group had significant poorer OS (P < 0.001) and disease-free survival (P < 0.001), even after background factors were matched between these two groups.

CONCLUSIONS

PNI is superior to Controlling Nutritional Status score, neutrophil-to-lymphocyte ratio, platelet-to-lymphocyte ratio, or Glasgow Prognostic Score as a predictor of OS and recurrence-free survival in patients with HCC who underwent curative hepatic resection.

Comparison of the prognostic value of inflammation-based scores in early recurrent hepatocellular carcinoma after hepatectomy

BACKGROUND & AIMS

Inflammation-based prognostic scores, such as the Glasgow Prognostic Score (GPS), modified Glasgow Prognostic Score (mGPS), Prognostic Index (PI), Prognostic Nutritional Index (PNI), neutrophil to lymphocyte ratio (NLR), platelet to lymphocyte ratio (PLR), lymphocyte to monocyte ratio (LMR) and systemic immune-inflammation index (SII), are correlated with the survival of hepatocellular carcinoma (HCC) patients, while remain unclear for recurrent HCC. This study aimed to compare the prognostic value of inflammation-based prognostic scores for post-recurrence survival (PRS) in patients with early recurrent HCC (ErHCC, within 2 years after hepatectomy).

METHODS

A total of 580 patients with ErHCC were enrolled retrospectively. The association between the independent baseline and the time-dependent variables and PRS was evaluated by cox regression. The prediction accuracy of the inflammation-based prognostic scores was assessed by time-dependent receiver operating characteristic (ROC) and Harrell's concordance index (C-index) analyses.

RESULTS

The GPS, mGPS, PI, PNI, NLR, PLR, LMR and SII were all related to the PRS of ErHCC patients, while only the SII (P < .001) remained an independent predictor for PRS in multivariate analysis (hazard ratio: 1.92, 95% confidence interval: 1.33-2.79). Both the C-index of the SII (0.65) and the areas under the ROC curves showed that the SII score was superior to the other inflammation-based prognostic scores for predicting the PRS of ErHCC patients.

CONCLUSIONS

The SII is a useful prognostic indicator for PRS in patients with ErHCC after hepatectomy and is superior to the other inflammation-based prognostic scores in terms of prognostic ability.

The role of PNI to predict survival in advanced hepatocellular carcinoma treated with Sorafenib

BACKGROUND AND AIMS

The present study aims to investigate the role of the prognostic nutritional index (PNI) on survival in patients with advanced hepatocellular carcinoma (HCC) treated with sorafenib.

METHODS

This multicentric study included a training cohort of 194 HCC patients and three external validation cohorts of 129, 76 and 265 HCC patients treated with Sorafenib, respectively. The PNI was calculated as follows: 10 × serum albumin (g/dL) + 0.005 × total lymphocyte count (per mm3). Univariate and multivariate analyses were performed to investigate the association between the covariates and the overall survival (OS).

RESULTS

A PNI cut-off value of 31.3 was established using the ROC analysis. In the training cohort, the median OS was 14.8 months (95% CI 12-76.3) and 6.8 months (95% CI 2.7-24.6) for patients with a high (>31.3) and low (<31.3) PNI, respectively. At both the univariate and the multivariate analysis, low PNI value (p = 0.0004), a 1-unit increase of aspartate aminotransferase (p = 0.0001), and age > 70 years (p< 0.0038) were independent prognostic factors for OS. By performing the same multivariate analysis of the training cohort, the PNI <31.3 versus >31.3 was found to be an independent prognostic factor for predicting OS in all the three validation cohorts.

CONCLUSIONS

PNI represents a prognostic tool in advanced HCC treated with first-line Sorafenib. It is readily available and low-cost, and it could be implemented in clinical practice in patients with HCC.

The Preoperative Prognostic Nutritional Index in Hepatocellular Carcinoma After Curative Hepatectomy: A Retrospective Cohort Study and Meta-Analysis

OBJECTIVE

Conflicting results existed about the role of prognostic nutritional index (PNI) for hepatocellular carcinoma (HCC) patients who received curative hepatectomy. The aim of this study is to identify the predictive capacity of PNI for survival after hepatectomy.

METHODS

Preoperative PNI, neutrophil-to-lymphocyte ratio (NLR), tumor feature and clinical information of 187 patients with HCC from Sir Run Run Shaw hospital were evaluated. We also conducted a meta-analysis of seven cohort studies.

RESULTS

Our study showed that HCC patients with a low PNI of <45 had a poor recurrence-free survival (RFS) rate (hazard ratio [HR] 1.762, 95% confidence interval [CI] 1.066-2.911, p = 0.027, respectively). The 5-year OS and RFS rates of the high PNI (≥45) vs low PNI (<45) were 76.7% vs 50.1% (p = 0.001) and 47.0% vs 28.9% (p = 0.001), respectively. In HCC TNM I patients (n = 144), a low PNI remained an independent prognostic factor of OS and RFS (HR 2.305, 95% CI 1.008-5.268, p = 0.048; HR 2.122, 95% CI 1.149-3.920, p = 0.016). The 5-year OS and RFS rates of the high PNI vs low PNI were 81.3% vs 62.4% (p = 0.041) and 53.4% vs 45.6% (p = 0.013), respectively. In the pooled analysis, the data showed that a low PNI was significantly associated with poor OS and RFS (HR 2.27, 95% CI 1.03-4.07, p < 0.001 and HR 1.68, 95% CI 1.45-1.94, p < 0.001, respectively).

CONCLUSIONS

The preoperative PNI was an independent prognostic factor for OS and RFS rates in HCC patients who received hepatectomy.

Correlation between prognostic nutritional index and occlusal status in gastric cancer

OBJECTIVE

Systemic inflammatory responses in cancer patients are important factors for nutrition and prognosis. This study evaluates the association between tooth loss, occlusal status, and prognostic nutritional index (PNI).

METHODS

A total of 93 patients with gastric cancer were included. These parameters were investigated the following: stage, body mass index (BMI), total lymphocyte count, C-reactive protein (CRP), PNI, and albumin (ALB). Patients were divided into three groups by Eichner classification (group A had contact in four support zones; group B had in one to three zones or in anterior region; and group C had no contact). PNI assumed 40 or less undernutrition. Multiple regression analysis was performed (PNI, dependent variable; Eichner index, main independent variable), using four independent variables (sex, age, BMI, and CRP) as adjustment factors.

RESULTS

The mean ± SD PNI in groups A, B, and C was 43.0 ± 4.7, 41.7 ± 5.2, and 36.7 ± 7.7, respectively. A significant positive correlation was found between the number of teeth, both ALB, and PNI. ALB and PNI differed significantly between groups A and C (ALB, p = .0003; PNI, p = .005).

CONCLUSION

We recommend a preoperative dental evaluation for assessing the nutritional status of patients with gastric cancer.

The Interplay between Inflammation, Anti-Angiogenic Agents, and Immune Checkpoint Inhibitors: Perspectives for Renal Cell Cancer Treatment

Treatment options for metastatic renal cell carcinoma (RCC) have been expanding in the last years, from the consolidation of several anti-angiogenic agents to the approval of immune checkpoint inhibitors (ICIs). The rationale for the use of immunomodulating agents derived from the observation that RCC usually shows a diffuse immune-cell infiltrate. ICIs target Cytotoxic T Lymphocytes Antigen 4 (CTLA-4), programmed death 1 (PD-1), or its ligand (PD-L1), showing promising therapeutic efficacy in RCC. PD-L1 expression is associated with poor prognosis; however, its predictive role remains debated. In fact, ICIs may be a valid option even for PD-L1 negative patients. The establishment of valid predictors of treatment response to available therapeutic options is advocated to identify those patients who could benefit from these agents. Both local and systemic inflammation contribute to tumorigenesis and development of cancer. The interplay of tumor-immune status and of cancer-related systemic inflammation is pivotal for ICI-treatment outcome, but there is an unmet need for a more precise characterization. To date, little is known on the role of inflammation markers on PD-1 blockade in RCC. In this paper, we review the current knowledge on the interplay between inflammation markers, PD-1 axis, and anti-angiogenic agents in RCC, focusing on biological rationale, implications for treatment, and possible future perspectives.

Predictive and prognostic value of prognostic nutritional index for locally advanced breast cancer

Background

The prognostic nutritional index (PNI) is an indicator of nutritional immune status. Recently, the PNI has been found to be significantly associated with the clinical outcome of various solid tumors. Few patients with newly diagnosed breast cancer are in a state of malnutrition. In contrast, breast cancer is usually an overnutrition-related disease. This study aimed to explore the relationship of an excessively high PNI with sensitivity to neoadjuvant therapy and the prognosis of patients with locally advanced breast cancer.

Methods

A total of 202 patients from two clinical trials, SHPD002 and SHPD003, were included. Binary logistic regression analysis was used to assess the association between the PNI and pathological complete response (pCR). Univariate and multivariate survival analyses were performed to assess the prognostic factors used to predict disease-free survival (DFS).

Results

An excessively high PNI was more difficult to achieve pCR (OR =0.322; 95% CI, 0.132-0.788, P=0.013) and was associated with a worse DFS (log-rank P=0.013). The PNI was an independent prognostic factor for DFS in all patients (HR =3.027; 95% CI, 1.207-7.592, P=0.018), the premenopausal (HR =8.292; 95% CI, 1.670-41.17, P=0.010), clinical T3 and T4 (HR =3.405; 95% CI, 1.141-10.16, P=0.028), ER negative (HR =9.698; 95% CI, 1.205-78.07, P=0.033), HER2 negative (HR =3.765; 95% CI, 1.101-12.88, P=0.035) and pCR subgroups (HR =11.912; 95% CI, 1.326-107.0, P=0.027).

Conclusions

An excessively high PNI was a risk factor for sensitivity to neoadjuvant therapy and prognosis of patients with locally advanced breast cancer.

A novel prognostic score model based on combining systemic and hepatic inflammation markers in the prognosis of HBV-associated hepatocellular carcinoma patients

Objectives: The study aimed to evaluate the prognostic value of systemic inflammation markers [neutrophil-to-lymphocyte ratio (NLR), platelet-to-lymphocyte ratio (PLR), Prognostic Nutritional Index (PNI)] and hepatic inflammation markers [aspartate aminotransferase-to-platelet ratio index (APRI), γ-glutamyl transferase (γ-GT)/alanine aminotransferase (ALT)] in patients with hepatitis B virus (HBV)-associated hepatocellular carcinoma (HCC) and further to develop a novel prognostic score model. Methods: A total of 401 cases with HBV-associated HCC who underwent hepatectomy as initial therapy were included in the analysis. Kaplan-Meier was performed to construct survival curves and receiver operating characteristic (ROC) analysis was used to detect the optimal cut-off value of markers. The prognostic score model was constructed using significant inflammation markers in the Cox model. Each factor was given a score of 1 and patients were stratified according to the scores. Results: In the Cox model, α-fetoprotein (AFP), ALT, tumour differentiation, maximum size of tumours, TNM stage, PNI and γ-GT/ALT were independently prognostic factors. We established a preoperative inflammation-based prognostic scoring model combining PNI and γ-GT/ALT. The novel preoperative inflammation-based prognostic score was superior (area under the curve [AUC], 0.659) to 7^th tumour-node-metastasis (TNM) stage (AUC, 0.600) despite no statistical significance (p = .1036). Conclusion: PNI and γ-GT/ALT are independent predictors for prognosis. The novel prognostic score model based on systemic and hepatic inflammation markers is suitable for the prognosis evaluation in patients with HBV-associated HCC.

Comparative performance of inflammation-based prognostic scores in patients operated for intrahepatic cholangiocarcinoma

Objective

Prognostic performance of inflammation-based prognostic scores, including the Glasgow Prognostic Score (GPS), modified Glasgow Prognostic Score (mGPS), neutrophil to lymphocyte ratio (NLR), platelet to lymphocyte ratio (PLR), lymphocyte to monocyte ratio (LMR), Prognostic Index (PI) and Prognostic Nutritional Index (PNI) has been explored in patients with varied types of cancer, though little data is available in intrahepatic cholangiocarcinoma (ICC). This study sought to evaluate the impact of systemic inflammation on the overall survival (OS) of ICC patients, and to identify more optimal prognostic indices.

Patients and methods

The prognostic power of all the scores mentioned above was compared in 123 patients underwent curative surgery for ICC using Kaplan–Meier curves, COX regression models and the receiver operating characteristics (ROC) curves. The results were validated in a cohort of 95 ICC patients.

Results

Multivariate analysis identified LMR as the only independent inflammation-based predictor for OS in the training cohort (P=0.007, HR 2.082, 95% CI 1.218–3.558). More importantly, the combined score of LMR and pTNM designated the inflammation-based pathological stage (IPS) outperformed other established scores in terms of discriminatory ability, monotonicity and homogeneity in the training and validation cohorts.

Conclusion

This study reveals that preoperative LMR is an independent predictor of OS in ICC patients after hepatectomy, and the IPS can be applied as a novel prognostic indicator in these patients.

Preoperative total cholesterol-lymphocyte score as a novel immunonutritional predictor of survival in gastric cancer

PURPOSE

Immunonutritional status is a known prognostic correlate in the context of gastric cancer (GC). In the present study, we investigated the prognostic relevance of a lipid profile-based immunonutritional score in patients with GC.

METHODS

Data pertaining to 224 patients with stage II and III GC who underwent curative gastrectomy were retrospectively analyzed. The total cholesterol-lymphocyte score (TL score) was defined as follows: patients with both low total cholesterol (TC) and total lymphocyte count were allocated a score of 2; patients with only one or none of these biochemical abnormalities were allocated a score of 1 or 0, respectively.

RESULTS

Among the serum lipid indices, low TC was the strongest predictor of cancer-specific survival (CSS; p = 0.001). On multivariate analysis, both low prognostic nutritional index (PNI) (p < 0.001) and high TL score (p = 0.003) were independent prognostic factors. PNI was significantly associated with peritoneal recurrence (p = 0.047), while TL score was significantly associated with locoregional and distant metastasis (p = 0.004 and p = 0.003, respectively).

CONCLUSIONS

TL score may facilitate risk stratification of patients based on CSS. TL score plus PNI may help predict the recurrence pattern in patients with stage II and III GC.

Comparison of prognostic value of three objective nutritional indicators in patients with hepatocellular carcinoma before radical resection

BACKGROUND

Various nutrition-based prognostic scores, including control of nutritional status (CONUT) score, nutritional risk index (NRI), and prognostic nutritional index (PNI), are associated with survival rates in patients with various types of cancer.

AIM

To compare the prognostic value of the above-mentioned scores in patients with hepatocellular carcinoma (HCC) before radical resection.

METHODS

A retrospective analysis of 470 patients who underwent radical resection for HCC at the Yiwu Central Hospital from January 2007 to June 2016 was performed. Clinical pathological parameters, CONUT score, NRI, and PNI were collected and compared. The area under the receiver operating characteristic curve (AUC) was calculated to compare the predictive power of each scoring system. Univariate and multivariate analyses were performed using the COX proportional hazards model to identify risk factors associated with overall survival (OS).

RESULTS

In the univariate analysis, albumin, PNI, NRI, CONUT score, and histology were significantly associated with OS in patients with HCC. PNI, NRI, and CONUT score were significantly associated with 1-year, 3-year, and 5-year HCC survival rates. NRI always had a higher AUC value than other nutrition-based prognostic scores. In the multivariate analysis, AST (hazard ratio [HR] = 1.503, P = 0.031), FIB status (HR = 1.981, P = 0.001), and NRI (HR = 1.584, P = 0.014) were independent risk factors for prognosis in patients with HCC.

CONCLUSION

Our study suggests that NRI is superior to other nutrition-based prognostic scores in predicting overall survival in patients undergoing radical surgery for HCC.

Prognostic significance of body mass index and prognostic nutritional index in stage II/III gastric cancer

INTRODUCTION

Preoperative body weight and nutritional status are related to prognosis in patients with gastric cancer; however, the prognostic impact of postoperative in these variables is unclear. We aimed to investigate the association of preoperative/postoperative body mass index (BMI) and prognostic nutritional index (PNI) with prognosis in patients with gastric cancer.

MATERIALS AND METHODS

We retrospectively 1868 patients with stage II/III gastric cancer treated with gastrectomy between January 2006 and December 2010. We divided the populations into 3 groups according to BMI; underweight, normal, and overweight. Patients were divided into 3 groups according to BMI (underweight, normal-weight, overweight). PNI was classified into low and high (cutoff value; 49.7). The association of preoperative BMI/PNI and their changes (6 months postoperatively) with clinicopathologic characteristics were evaluated.

RESULTS

Preoperative underweight and low PNI were related to poor prognosis (log-rank p < 0.001 for both). There was a positive correlation between preoperative BMI and PNI (mean preoperative PNI: 51.13 [underweight], 53.37 [normal-weight], and 55.16 [overweight]; p < 0.001). Preoperative BMI and PNI were independent prognostic factors for disease-free survival along with age and TNM stage (p < 0.001 for both). BMI changes from normal-weight to underweight and from overweight to normal/underweight were related to poor prognosis (log-rank p = 0.021 and p = 0.013, respectively). PNI changes were related to prognosis in both the preoperative low and high PNI groups (p < 0.001 and p = 0.019, respectively).

CONCLUSION

Preoperative BMI and PNI and their postoperative changes are related to prognosis in patients with stage II/III gastric cancer. Careful nutritional intervention after gastrectomy can improve prognosis.

Predictive Effects of Inflammatory Scores in Patients with BCLC 0-A Hepatocellular Carcinoma after Hepatectomy

Background: Inflammatory markers are regarded as prognostic factors of the outcomes of hepatocellular carcinoma (HCC). Examples include the neutrophil-to-lymphocyte ratio (NLR); platelet to lymphocyte ratio (PLR); the albumin and lymphocyte counts used in the prognostic nutritional index (PNI); and the neutrophil, lymphocyte, and platelet counts used in the systemic immune-inflammation index (SII). This study evaluates the effects of PNI, NLR, PLR, and SII to predict recurrence and survival in patients with Barcelona Clinic Liver Cancer (BCLC) stages 0-A of HCC after hepatectomy. Methods: This retrospective study was conducted at Kaohsiung Chung-Gung Memorial Hospital, Taiwan. The study enrolled 891 patients (77.9% males; mean age 58.53 ± 11.60 years) with BCLC stage 0/A HCC undergoing hepatectomy between 2001 and 2016. PNI, NLR, PLR and SII were measured before hepatectomy. Results: High NLR (>1.8) was adversely associated with overall survival (p = 0.032). Low PNI (≤45) was adversely associated with overall survival and disease-free survival (p < 0.001). Low SII (≤45) also had an adverse association with overall survival (p = 0.008) and disease-free survival (p < 0.001). Diabetes mellitus, cirrhosis, microvascular invasion, low PNI (≤45), and low SII (≤160) were independently associated with poor overall survival in a multivariate analysis. HCV infection, diabetes mellitus, cirrhosis, microvascular invasion, low PNI, and low SII were independent prognostic factors of recurrent HCC. The combined use of PNI and SII provided improved prognostic information. Conclusions: Low PNI and low SII are significantly poor prognostic factors for overall survival and recurrence in patients with BCLC 0-A hepatocellular carcinoma after hepatectomy.

Predicting survival in cancer patients with and without 30-day readmission of an unplanned hospitalization using a deficit accumulation approach

BACKGROUND

For cancer patients with an unplanned hospitalization, estimating survival has been limited. We examined factors predicting survival and investigated the concept of using a deficit-accumulation survival index (DASI) in this population.

METHODS

Data were abstracted from medical records of 145 patients who had an unplanned 30-day readmission between 01/01/16 and 09/30/16. Comparison data were obtained for patients who were admitted as close in time to the date of index admission of a study patient, but who did not experience a readmission within 30 days of their discharge date. Our survival analysis compared those readmitted within 30 days versus those who were not. Scores from 23 medical record elements used in our DASI system categorized patients into low-, moderate-, and high-score groups.

RESULTS

Thirty-day readmission was strongly associated with the survival (adjusted hazard ratio [HR] 2.39; 95% confidence interval [CI], 1.46-3.92). Patients readmitted within 30 days of discharge from index admission had a median survival of 147 days (95% CI, 85-207) versus patients not readmitted who had not reached median survival by the end of the study (P < .0001). DASI was useful in predicting the survival; median survival time was 78 days (95% CI, 61-131) for the high score, 318 days (95% CI, 207-426) for the moderate score, and not reached as of 426 days (95% CI, 251 to undetermined) for the low-score DASI group (P < .0001).

CONCLUSIONS

Patients readmitted within 30 days of an unplanned hospitalization are at higher risk of mortality than those not readmitted. A novel DASI developed from clinical documentation may help to predict survival in this population.

Is the prognostic nutritional index a prognostic and predictive factor in metastatic non-small cell lung cancer patients treated with first-line chemotherapy?

PURPOSE

We aimed to assess the prognostic and predictive significance of pretreatment Onodera's prognostic nutritional index (OPNI) in metastatic non-small cell lung cancer patients (NSCLC) treated with first-line chemotherapy.

MATERIALS AND METHODS

Patients with metastatic NSCLC who attended five different medical oncology clinics between December 2008 and January 2018 were retrospectively analyzed. The optimal cut-off point for OPNI was performed by a receiver operating characteristic (ROC) curve analysis. Patients were assigned to either the low OPNI group or high OPNI group.

RESULTS

A total of 333 patients were included in the study. Significant differences between the low and high OPNI groups were found regarding the rates of response to chemotherapy, sex, and hemoglobin level (p < 0.05). The patients in high OPNI group had a longer overall survival (OS) (15.3 vs. 10.6 months, p < 0.001) and progression-free survival (PFS) (6.7 vs. 5.3 months, p < 0.001) compared to the patients in low OPNI group. A multivariate analysis using Cox regression model revealed that a high OPNI score was an independent prognostic factor of OS (HR = 1.535, p = 0.002) and PFS (HR = 1.336, p = 0.014), but failed to demonstrate a statistical significance of pretreatment OPNI scores in predicting treatment response (p = 0.56).

CONCLUSIONS

Pretreatment OPNI is an independent prognostic factor for OS and PFS in metastatic NSCLC patients treated with first-line chemotherapy. Thus, it may be used as easily calculated and low-cost prognostic tool in the routine clinical practice in this patient group.

Pretreatment prognostic nutritional index as a novel biomarker in non-small cell lung cancer patients treated with immune checkpoint inhibitors

OBJECTIVES

Immune checkpoint inhibitors (ICIs) have been established as a novel strategy for non-small cell lung cancer (NSCLC) therapy. However, a definitive biomarker that can predict response to ICI therapy remains unestablished. The prognostic nutritional index (PNI) is used to assess immune-nutritional conditions and is a prognostic factor in patients with various malignancies; however, its usefulness as a biomarker of response to ICI therapy and survival outcomes in NSCLC patients is unknown. Thus, we retrospectively analyzed the clinicopathological features of advanced-stage or recurrent NSCLC patients treated with ICI therapy to identify predictors of response to ICI therapy and investigate the effects of pretreatment PNI levels on survival after ICI therapy.

MATERIALS AND METHODS

We selected 102 consecutive NSCLC patients who were treated with ICI therapy from November 2015 to February 2019. We measured their pretreatment PNI levels and performed univariate and multivariate Cox regression analyses of progression-free survival (PFS) or overall survival (OS) after ICI therapy.

RESULTS

Pretreatment PNI levels were significantly associated with response to ICI therapy (objective response rate:P = 0.0131; disease control rate: P = 0.0002), PFS (P = 0.0013), and OS (P = 0.0053). In univariate and multivariate analyses of the associations between PNI, C-reactive protein (CRP) or neutrophil-lymphocyte ratio (NLR) and PFS or OS, NLR and PNI, but not CRP, are independent prognostic factors for PFS (NLR: relative risk [RR]=1.655, 95% confidence interval [CI]: 1.012-2.743, P = 0.0449, PNI: RR=1.704, 95% CI: 1.039-2.828, P = 0.0346). Only PNI showed a trend towards being an independent prognostic factor for OS (RR=1.606, 95% CI: 0.952-2.745, P = 0.0761).

CONCLUSION

The pretreatment PNI has the potential to be a simple and novel predictive biomarker of ICI response in NSCLC patients and might help to identify patients who will obtain a survival benefit from ICI therapy.

Association between inflammation-based prognostic scores and in-hospital outcomes in elderly patients with acute myocardial infarction

Objective

Emerging evidence suggests that systemic inflammation is a predictor of poor prognosis in acute myocardial infarction (AMI). In this study, we sought to assess whether inflammation-based prognostic scores are associated with in-hospital outcomes in elderly patients with AMI.

Methods

In this retrospective study, patients who were over 75-years-old and met the diagnostic criteria for AMI were consecutively recruited from January 1, 2016, to March 31, 2019. Logistic regression and receiver-operating characteristic (ROC) analyses were performed to evaluate the predictive value of the inflammation-based Glasgow Prognostic Score (GPS), Prognostic Index (PI) and Prognostic Nutritional Index (PNI).

Results

A total of 273 patients were enrolled. The incidence of major cardiovascular adverse events (MACEs) and mortality during hospitalization increased significantly with increasing GPS and PI scores. Multiple logistic regression showed that the GPS was independently associated with MACEs (score 1, RR: 6.711, 95% CI: 1.409–31.968; score 2, RR: 14.063, 95% CI: 3.018–65.535) and mortality (score 1, RR: 8.656, 95% CI: 1.068–70.126; score 2, RR: 10.549, 95% CI: 1.317–84.465). The PI was also independently predictive of MACEs (score 2, RR: 5.132, 95% CI: 1.451–18.148). No significant difference was observed in the PNI between patients with different in-hospital outcomes. When in-hospital MACEs were used as an endpoint, the area under the curve (AUC) of the GPS was 0.740 (95% CI 0.678–0.802), and the AUC of the PI was 0.703 (95% CI 0.634–0.773). When mortality was used as an endpoint, the AUC of the GPS was 0.677 (95% CI 0.602–0.753), and the AUC of the PI was 0.667 (95% CI 0.577–0.757).

Conclusion

The severity of systemic inflammation is a strong predictor of poor prognosis in elderly patients with AMI. Among these three inflammation-based prognostic scores, the GPS has a better predictive value than the PI and PNI for in-hospital MACEs and mortality.

Impact of the Prognostic Nutritional Index on the Survival of Japanese Patients with Hepatocellular Carcinoma Treated with Sorafenib: A Multicenter Retrospective Study

Objective The purpose of this multicenter retrospective study was to investigate the impact of the prognostic nutritional index (PNI) on the survival of Japanese patients with hepatocellular carcinoma (HCC) treated with sorafenib. Methods A total of 178 HCC patients from May 2009 to December 2015 at our affiliated hospitals was included in this study. The PNI was calculated as follows: 10×serum albumin (g/dL) +0.005×total lymphocyte count (per mm³). The patients were divided into two groups according to the cut-off value of the PNI and as calculated by a receiver operating characteristic curve analysis. Results The optimum cut-off value of the PNI was set at 46.8. We defined the 33 patients with a PNI≥46.8 as the PNI-high group and the 145 patients with a PNI<46.8 as the PNI-low group. The response rate was 20.0% in the PNI-high group and 8.1% in the PNI-low group, without any statistically significance (p=0.09). The duration of sorafenib therapy and the overall survival in the PNI-high group were significantly better than those in the PNI-low group. The PNI-high group was thus found to be a predictive factor associated with the duration of sorafenib therapy [hazard ratio (HR) 0.58; 95% confidence interval (CI) 0.39-0.87, p=0.008] and overall survival (HR 0.62; 95% CI 0.39-0.99, p=0.046) in a multivariate analysis. Conclusion The PNI is a simple and useful marker for predicting the survival of patients with HCC treated with sorafenib.

The prognostic nutritional index in resected high-grade pulmonary neuroendocrine carcinoma

OBJECTIVE

The prognostic nutritional index is a potential predictive indicator in other cancers and can be easily determined at low cost. To identify useful prognostic markers for high-grade neuroendocrine carcinomas, we examined the prognostic significance of the prognostic nutritional index in patients with resected high-grade pulmonary neuroendocrine carcinoma.

METHODS

We retrospectively reviewed perioperative clinical and laboratory data of patients who underwent pulmonary resection for high-grade neuroendocrine carcinoma between January 2000 and December 2014. Associations between the preoperative prognostic nutritional index and the patients' clinicopathological characteristics were analyzed to determine its prognostic significance.

RESULTS

The study comprised 61 patients, the majority of whom were men (85%). The median age was 70.0 years, and the median follow-up period was 42 months. No significant differences in the clinicopathological characteristics were observed between the high and low prognostic nutritional index groups. The 5-year overall survival and recurrence-free survival times were significantly shorter in the low prognostic nutritional index group than in the high prognostic nutritional index group (78.8% vs. 51.4% and 71.7% vs. 34.5%, respectively; p < 0.05). The prognostic nutritional index was confirmed as an independent prognostic factor (hazard ratio: 2.419, 95.0% confidence interval: 1.044-5.606; p < 0.05). A significantly greater proportion of patients developed distant metastases in the low prognostic nutritional index group than in the high prognostic nutritional index group (p < 0.05).

CONCLUSION

A low prognostic nutritional index is associated with poor survival in patients with resected high-grade pulmonary neuroendocrine carcinoma.

Predictive ability of prognostic nutritional index in surgically resected gastrointestinal stromal tumors: a propensity score matching analysis

Prognostic nutritional index was found to be correlated with prognosis in GISTs before and after propensity score matching and its incorporation improved the prognostic stratification of NIH risk criteria.

Clinical significance of preoperative nutritional parameter and patient outcomes after pancreatectomy: A retrospective study at two academic institute

Backgrounds/Aims

Preoperative nutritional status has been reported to influence patient outcomes after pancreatectomy. The Prognostic Nutritional Index (PNI) is a useful parameter to reflect the outcomes of patients undergoing gastrointestinal surgery. Therefore, the relationship between the PNI and clinicopathological factors, surgical data, and postoperative morbidity were retrospectively evaluated at two academic institutes in a cohort study.

Methods

Curative pancreatectomy was performed on 222 patients at the University of Nagasaki between 1995 and March 2015, and 101 at the University of Miyazaki between April 2015and March 2018. The PNI was calculated using preoperative albumin and total cholesterol levels.

Results

The mean PNI in our series was 39.2±5.4 and the prevalence of PNIs less than 40 was observed in 134 patients (44%). The PNI was not significantly different between normal, hard, and fatty architecture of the pancreatic parenchyma. The PNIs were significantly negatively correlated with higher age (p<0.01), but not with gender, co-morbidity, or habits. The PNI was significantly correlated with levels of hemoglobin, prothrombin activity, choline esterase, total protein, albumin and cholesterol (p<0.01), and with postoperative total protein and albumin levels (p<0.05). Although the preoperative PNI tended to be lower in patients with total postoperative complications, no significant differences for each complication were observed.

Conclusions

Although the preoperative PNIs reflect the perioperative nutritional status, its predictive usefulness for postoperative complications could not be significantly confirmed.

The Prognostic Value of the C-reactive Protein/Prognostic Nutritional Index Ratio in Stage III and IV Laryngeal Cancer Patients Treated with Radiotherapy

Objective Patients with advanced laryngeal cancer have a poor prognosis. The purpose of this work was to analyze the connection between clinical factors and survival and to try to identify survival prognostic factors. Methods Sixty-one laryngeal cancer patients received radiotherapy. All of their clinicopathologic material was gathered from a retrospective review of the medical records and subjected to further analysis. We examined the prognostic significance of the C-reactive protein (CRP)/prognostic nutritional index (PNI) ratio. Results We assessed the CRP and PNI levels before radiotherapy. An analysis of overall survival (OS) of patients with high CRP/PNI was markedly shorter than for those patients with a low CRP/PNI (P=0.010). Multivariable analysis showed that a high CRP/PNI ratio was a disadvantageous independent prognostic marker. Conclusions The data show that CRP/PNI may be used as a prognostic indicator for laryngeal cancer patients treated with radiotherapy.

The systemic inflammation response index predicts survival and recurrence in patients with resectable pancreatic ductal adenocarcinoma

Purpose: The systemic inflammation response index (SIRI), based on peripheral neutrophil, monocyte, and lymphocyte counts, was recently emerged and used as a novel tool in predicting prognosis in different types of cancer. Our aim was to investigate the clinical significance of preoperative SIRI in patients with resectable pancreatic ductal adenocarcinoma (PDAC).

Materials and methods: The SIRI was developed in a training cohort of 371 PDAC patients undergoing radical surgery between 2010 and 2013 and validated in a validation cohort of 310 patients from 2014 to 2015. Baseline clinicopathologic characteristics, preoperative laboratory parameters and follow-up information were collected. The optimal cutoff value of SIRI was determined by receiver operating characteristic curve. Univariate and multivariate analysis were performed to analyze the prognostic value of SIRI.

Results: The optimal cutoff value of SIRI stratified patients into low SIRI group (≤0.69) and high SIRI group (>0.69). Survival analysis showed that the median overall survival (OS) and recurrence-free survival (RFS) were significantly better in patients with low SIRI. The SIRI was an independent predictor of OS and RFS in multivariate analysis. In addition, SIRI remained its prognostic significance both in patients with early-stage diseases and in patients with normal carbohydrate antigen 19-9 levels. High SIRI indicated poor treatment response for patients who received postoperative adjuvant chemotherapy.

Conclusion: Preoperative SIRI was an independent prognostic indicator of poor outcomes in PDAC patients after radical resection. It might assist clinicians to identify high-risk patients and choose the optimal individualized treatment strategy.

Prognostic nutritional index as a prognostic marker in glioblastoma: Data from a cohort of 282 Italian patients

Preoperative prognostic nutritional index (PNI) is linked to the clinical outcome of patients with malignant tumours, however few studies have investigated its utility in predicting outcome in glioblastoma multiforme (GBM). We performed a retrospective study on adult patients with GBM in order to evaluate the impact of PNI on overall survival (OS), after adjusting for known prognostic factor (age, extent of surgery, Karnofsky performance status, radiochemotherapy). This is an Italian, multicentre, retrospective, cohort study. The patient's cohort includes 282 individuals with a newly diagnosed GBM followed in 3 Lombardia Hospitals In all cases the diagnosis was supported by histological data. Patient's information including sex, age at onset, Karnofsky performance status (KPS), extension of surgical resection (EOR), adjuvant treatment, antiepileptic treatment, serum variables and survival data were collected. Univariate and multivariate analysis did not reveal an association between PNI and overall survival in our series of GBM patients. PNI is a controversial marker for prognosis in GBM patients and further prospective studies are necessary to elucidate its role.

Novel Prognostic Nomograms Based on Inflammation-Related Markers for Patients with Hepatocellular Carcinoma Underwent Hepatectomy

Purpose

Hepatocellular carcinoma (HCC) is an aggressive disease with high recurrence rate. However, current staging systems were lack of predictive capacity for HCC recurrence. We aimed to develop prognostic nomograms based on inflammation-related markers for HCC patients underwent hepatectomy.

Materials and Methods

We recruited 889 surgically treated patients from two medical centers. Independent prognostic factors were identified by cox regression analyses. Nomograms for recurrence-free survival (RFS) and overall survival (OS) were established, and validated internally and externally. The performance, discrimination, and calibration of nomograms were assessed, and compared with existed staging systems.

Results

Neutrophil to lymphocyte ratio (NLR) and gamma-glutamyl transpeptidase to platelet ratio (GPR) were the two inflammation-related factor that independently correlated with survival. NLR, GPR, international normalized ratio (INR), microvascular invasion, satellite lesions, tumour number, tumour diameter, and macrovascular invasion were used to construct nomogram for RFS while GPR, total bilirubin, INR, α-fetoprotein, microvascular invasion, satellite lesions, tumour diameter, and macrovascular invasion were for OS. In the training cohort, the C-index of nomogram was 0.701 (95% confidence interval [CI], 0.669 to 0.732) for RFS and 0.761 (95% CI, 0.728 to 0.795) for OS. These results received both internal and external validation with C-index of 0.701 (95% CI, 0.647 to 0.755) and 0.707 (95% CI, 0.657 to 0.756) for RFS, and 0.706 (95% CI, 0.640 to 0.772) and 0.708 (95% CI, 0.646 to 0.771) for OS, respectively. The nomograms showed superior accuracy to conventional staging systems (p<0.001).

Conclusion

The nomograms based on inflammation-related markers are of high efficacy in predicting survival of HCC patients after hepatectomy, which will be valuable in guiding postoperative interventions and follow-ups.

Pre-treatment prognostic nutritional index may serve as a potential biomarker in urinary cancers: a systematic review and meta-analysis

Background

To investigate the potential prognostic role of pre-treatment prognostic nutritional index (PNI) in urinary cancers.

Methods

Relevant articles were searched comprehensively from PubMed, Embase and Web of Science, up to November 2018. The pooled hazard ratios (HRs) with 95% confidence intervals (CIs) were extracted to evaluate their associations.

Result

A total of 12 related articles including 6561 patients were ultimately enrolled. Our results indicated that a relatively lower level of pre-treatment PNI was associated with decreased OS, CSS/DSS and DFS/RFS/PFS (pooled HR = 1.68, 95% CI 1.45–1.95; pooled HR = 1.57, 95% CI 1.33–1.86; pooled HR = 1.75, 95% CI 1.53–1.99, respectively). Subsequent stratified analysis by cancer type for OS showed that PNI could also be a predictor no matter in renal cell cancer (RCC) or bladder cancer (BC) (pooled HR = 1.65, 95% CI 1.37–1.97 and pooled HR = 1.67, 95% CI 1.20–2.33). Similar results could be found in DFS/RFS/PFS (RCC: HR = 1.81, 95% CI 1.54–2.13 and BC: HR = 1.68, 95% CI 1.32–2.12) and in CSS/DSS (RCC: HR = 1.50, 95% CI 1.23–1.82 and upper tract urothelial carcinoma: HR = 1.61, 95% CI 1.13–2.28). As for the treatment subgroup, a relatively lower level of PNI could also be a positive predictor for OS (surgery: HR = 1.64, 95% CI 1.40–1.93; target therapy: HR = 1.88, 95% CI 1.34–2.63) and DFS/RFS/PFS (surgery: HR = 1.69, 95% CI 1.47–1.95; target therapy: HR = 2.14, 95% CI 1.50–3.05).

Conclusion

The outcomes of us shed light on that elevated pre-treatment PNI was positively associated with OS, CSS/DSS and DFS/RFS/PFS, indicating that it could be an independent prognostic factor in urinary cancers.

Prognostic impact of the Controlling Nutritional Status score following curative nephrectomy for patients with renal cell carcinoma

We aimed to evaluate the prognostic significance of the preoperative Controlling Nutritional Status (CONUT) score in patients with renal cell carcinoma (RCC), and then compared its accuracy of the prognostic nutritional index (PNI), neutrophil-to-lymphocyte ratio (NLR), and platelet-to-lymphocyte ratio (PLR) as predictors of survival.We included 635 patients who underwent nephrectomy for RCC from January 2004 to July 2014. The X-tile program was used to determine the optimal cut-off values for CONUT score, PNI, NLR, and PLR.The median follow-up duration after surgery was 48.40 (29.30-80.10) months. The optimal cutoff values were 2 for CONUT score, 48 for PNI, 3.5 for NLR and 204.7 for PLR by X-tile program with cancer-specific survival (CSS) as end-point. Higher CONUT score, NLR and PLR, and lower PNI were statistically associated with worse OS and CSS in the univariate analysis. Multivariate analysis showed that higher CONUT score was an independent predictor for OS (HR = 3.012; 95% CI, 1.525-5.948; P = .001) and CSS (HR = 3.001; 95% CI, 1.290-6.984; P = .011), and CONUT score was superior to PNI, NLR, and PLR according to the HR.Therefore, preoperative CONUT score can be a strong independent predictor in RCC patients after nephrectomy.

High CONUT score predicts poor survival and postoperative HBV reactivation in HBV-related hepatocellular carcinoma patients with low HBV-DNA levels

BACKGROUND

Postoperative hepatitis B virus (HBV) reactivation (PHR) is associated with resection-induced immunosuppression in patients with HBV-related hepatocellular carcinoma (HCC). Controlling Nutritional Status (CONUT) score is an effective index for evaluating immune-nutrition function. However, the value of COUNT in predicting PHR in HBV-HCC patients remains unknown.

METHODS

Totally, 209 HCC patients were enrolled.

RESULTS

Preoperative immune function (CD3⁺CD4⁺, CD3⁺CD8⁺, IgG and IgM) in patients with high CONUT score was significantly worse than that in patients with low CONUT score (P<0.05). Blood test results on postoperative day 7 showed the same trend. In addition, patients with high CONUT score experienced a significantly larger decrease in the proportions of CD3⁺CD4⁺ and CD3⁺CD8⁺ than those with low CONUT score (P < 0.05). In patients with high CONUT score, the incidence of overall complications was also significantly higher (P = 0.029) and hospital-stay was significantly longer (P = 0.020). Besides, overall survival and recurrence free survival in patients with high CONUT score were significantly worse than those in patients with low CONUT score (48.32 vs. 38.12 months, P<0.001; 36.08 vs. 27.03 months, P = 0.001). The incidence of PHR was significantly higher in patients with high COUNT score (P<0.001), and CONUT score was strongly associated with PHR (P<0.001). Additionally, the fellow subgroup results also demonstrated that COUNT score was more effective in predicting PHR in patients with HBV-DNA level <500 copies/ml than patients with HBV-DNA 500-1000 copies/ml.

CONCLUSION

CONUT score is an effective indicator predicting survival and PHR in HBV-HCC patients, especially in those with HBV-DNA levels <500 copies/ml.

Usefulness of the preoperative prognostic nutritional index score as a predictor of the outcomes of lung transplantation: A single-institution experience

BACKGROUND & AIMS

There is increasing evidence that preoperative nutritional status is a predictor of disease severity and mortality after lung transplantation (LTX). This study aimed to evaluate preoperative nutritional assessment as a predictor of LTX outcomes.

METHODS

We included 132 patients who underwent single or double LTX at Severance Hospital, Yonsei University, between October 2010 and April 2016. The Prognostic Nutritional Index (PNI) scores were calculated as follows: 10 × serum albumin value (g/dL) + 0.005 × peripheral lymphocyte count (/mm³). The optimal cut-off PNI score for the prediction of postoperative overall survival was set at 41.15 using receiver operating characteristics analysis. The efficacies of PNI and other clinical factors in predicting LTX outcomes were determined using univariate and multivariate Cox proportional hazard analyses.

RESULTS

Patients with PNI <41.15 (PNI-low group) were older, had higher preoperative C-reactive protein levels, and had lower nutritional status scores than did those in the PNI-high group (PNI ≥ 41.15). Based on Kaplan-Meier analysis, the overall survival rate was significantly better in the PNI-high group (78.3%) than in the PNI-low group (28.6%) (P < 0.001). Age, sex, body mass index, use of preoperative mechanical ventilation, C-reactive protein level, neutrophil-to-lymphocyte ratio, and PNI score were independent prognostic factors. Survival was significantly higher in the PNI-high group (hazard ratio: 0.220; P < 0.001) than in the PNI-low group, and incidence of complications ≥ grade IV was higher in the PNI-low group than in the PNI-high group (P < 0.001). Multivariate regression analysis showed that preoperative PNI score was significantly associated with postoperative survival, even after adjusting for other confounding factors.

CONCLUSIONS

Our findings suggest that PNI is a useful prognostic marker for the identification of high-risk lung transplant recipients. Preoperative nutritional assessment using PNI may provide useful information for reducing postoperative morbidity and mortality.