Pretreatment Prognostic Nutritional Index (PNI) as a Prognostic Factor in Patients with Biliary Tract Cancer: A Meta-Analysis

Prognostic and clinicopathological significance of prognostic nutritional index (PNI) in patients with oral cancer: a meta-analysis

Accumulating literature has explored how prognostically significant the prognostic nutritional index (PNI) was for the oral carcinoma population, but with inconsistent findings. Therefore, we retrieved the most recent data and carried out this meta-analysis to comprehensively analyze the prognostic performance of pretreatment PNI in oral cancer. The electronic databases of PubMed, Embase, China National Knowledge Infrastructure (CNKI), Cochrane Library and Web of Science were fully retrieved. PNI's prognostic value for survival outcomes in oral carcinoma was assessed by estimating pooled hazard ratios (HRs) plus 95% confidence intervals (CIs). We examined the correlation of PNI with clinicopathological traits of oral carcinoma by utilizing the pooled odds ratios (ORs) plus 95% CIs. According to the pooled results of the present meta-analysis, which enrolled 10 studies involving 3,130 patients, for oral carcinoma suffers whose PNI was low, their disease-free survival (DFS) (HR=1.92, 95%CI=1.53-2.42, p<0.001) and overall survival (OS) (HR=2.44, 95%CI=1.45-4.12, p=0.001) would be inferior. Nonetheless, cancer-specific survival (CSS) was not linked significantly to PNI for the oral carcinoma population (HR=1.89, 95%CI=0.61-5.84, p=0.267). Significant associations of low PNI with TNM stages III-IV (OR=2.16, 95%CI=1.60-2.91, p<0.001) and age ≥ 65 years (OR=2.29, 95%CI=1.76-2.98, p<0.001) were found. As suggested by the present meta-analysis, a low PNI was linked to inferior DFS and OS among oral carcinoma patients. Oral cancer patients with low PNI may have high-risk of tumor progression. PNI could be served as a promising and effective index to predict prognosis in patients with oral cancer.

Prognostic value of the preoperative prognostic nutritional index and systemic immuno-inflammatory index in Chinese breast cancer patients: A clinical retrospective cohort study

BACKGROUND

It has been shown that peripheral blood inflammatory factor ratios correlate with the prognosis of various malignancies. Although indicative of prognosis in some tumors, its value for prognosis in breast cancer patients is unclear.

METHODS

The clinical data of breast cancer patients diagnosed with breast cancer in the Second Hospital of Jilin University from January 1, 2013, to December 31, 2017, were retrospectively analyzed. The prognostic nutritional index (PNI) optimal cutoff values of the subjects' operating characteristic curves divided the patients into a low PNI group (≤51.05) and a high PNI group (>51.05). Correlations between breast cancer and PNI clinicopathological variables were determined by the χ² test or Fisher exact test. Kaplan-Meier plots and log-rank tests were used to assess clinical outcomes in terms of disease-free survival (DFS). The prognostic value of PNI was analyzed by univariate and multivariate Cox proportional risk regression models.

RESULTS

The best cutoff value for predicting DFS by pretreatment PNI was 51.05 and the Youden index when was 0.416, with a sensitivity of 71.4% and specificity of 70.2%. Univariate analysis showed that PNI ≤ 51.05, human epidermal growth factor receptor-2 (HER-2) positivity, and the number of lymph node metastases >4 were risk factors affecting DFS in invasive breast cancer (p < 0.05). Cox multifactor analysis showed that PNI and lymph node status were the most important factors affecting the prognosis of invasive breast cancer. Neutrophils-to-lymphocytes ratio and platelets-to-lymphocytes ratio were not significantly correlated with patient prognosis (p > 0.05).

CONCLUSION

Preoperative peripheral blood PNI in patients with invasive breast cancer are independent risk factors affecting patients' prognosis, they are positively correlated with prognosis and can be used as indicators to assess prognosis. PNI, HER-2, and lymph node status had the best predictive efficacy with the area under the curve = 0.816 (95% confidence interval: 0.680-0.951, p < 0.001).

Prognostic value of prognostic nutritional index score and controlling nutritional status score in patients with glioblastoma: A comprehensive meta-analysis

Introduction

Several nutritional indicators, including the prognostic nutritional index (PNI) score and the controlling nutritional status (CONUT) score, have been shown to predict the prognosis of patients with glioblastoma. The present meta-analysis was performed to further evaluate the prognostic value of PNI and CONUT scores in patients with glioblastoma.

Method

The PubMed, EMBASE and Web of Science databases were comprehensively searched for studies that evaluated the ability of PNI and CONUT scores to predict the prognosis of patients with glioblastoma. Hazard ratios (HR) and 95% confidence intervals (CIs) were calculated by univariate and multivariate analyses.

Result

Ten articles were included in this meta-analysis, involving 1406 patients with glioblastoma. Univariate analyses showed that a high PNI score was predictive of greater overall survival (OS; HR 0.50; 95% CI, 0.43, 0.58; I^{2 =} 0%) and progression free survival (PFS; HR 0.63; 95% CI, 0.50, 0.79; I^{2 =} 0%), whereas a low CONUT score predictive of longer OS (HR 2.39; 95% CI, 1.77, 3.23; I^{2 =} 25%). Multivariate analyses showed that high PNI score (HR 0.64; 95% CI, 0.49, 0.84; I^{2 =} 24%) and low CONUT score (HR 2.79; 95% CI, 2.01, 3.89; I^{2 =} 39%) were independently associated with longer OS, whereas PNI score was not significantly associated with PFS (HR 1.02; 95% CI, 0.65, 1.59; I^{2 =} 0%).

Conclusion

PNI scores and CONUT scores have prognostic value in patients with glioblastoma. Additional large-scale studies, however, are required to confirm these results.

The Neutrophil-to-Lymphocyte Ratio and Preoperative Pulmonary Function Test Results as Predictors of In-Hospital Postoperative Complications after Hip Fracture Surgery in Older Adults

Purpose: This study retrospectively evaluated the usefulness of the neutrophil-to-lymphocyte ratio (NLR), prognostic nutritional index (PNI), and pulmonary function test (PFT) results as objective predictors of in-hospital postoperative complications after hip fracture surgery in older adults. Methods: The patients aged >65 years who underwent hip fracture surgery under general anaesthesia were enrolled. In-hospital postoperative complications with preoperative NLR, PNI and PFT results were evaluated. The NLR was calculated as the preoperative neutrophil count/lymphocyte count in peripheral blood. The PNI was calculated as the serum albumin (g/dL) × 10 + total lymphocyte count × 0.005 (/mm3). Results: One hundred ninety nine patients were analysed. The most common postoperative complications were respiratory complications. Compared with patients who did not have postoperative complications, patients with postoperative complications had a significantly higher NLR (8.01 ± 4.70 vs. 5.12 ± 4.34, p < 0.001), whereas they had a significantly lower PNI (38.33 ± 6.80 vs. 42.67 ± 6.47, p < 0.001), preoperative functional vital capacity (FVC; 2.04 ± 0.76 vs. 2.45 ± 0.71 L, p < 0.001), and forced expiratory volume at 1 s (FEV1; 1.43 ± 0.53 vs. 1.78 ± 0.58 L, p < 0.001). Multiple logistic regression analysis identified NLR (odds ratio [OR], 1.142; 95% confidence interval [CI], 1.060−1.230; p < 0.001) and FEV1 (OR, 0.340; 95% CI, 0.191−0.603; p < 0.001) as risk factors for postoperative complications after hip fracture surgery. Conclusion: Preoperative NLR and FEV1 are objective predictors of in-hospital postoperative complications after hip fracture surgery in older patients.

Prognostic and clinicopathological significance of the Prognostic Nutritional Index in patients with gastrointestinal stromal tumours undergoing surgery: a meta-analysis

OBJECTIVES

Previous studies have investigated the prognostic value of the Prognostic Nutritional Index (PNI) in patients with gastrointestinal stromal tumours (GISTs). However, the results have been inconsistent. We performed a meta-analysis to quantitatively determine the prognostic and clinicopathological significance of PNI in GISTs.

DESIGN

This meta-analysis was conducted according to the Preferred Reporting Items for Systematic Reviews and Meta-Analyses statement. Pooled HRs and 95% CIs were calculated to estimate the prognostic value of PNI in patients with GISTs. Combined ORs and corresponding 95% CIs were used to evaluate the association between the PNI and clinicopathological characteristics.

DATA SOURCES

The electronic databases PubMed, Web of Science, Embase and Cochrane Library were thoroughly searched from inception to December 2021.

ELIGIBILITY CRITERIA

A random-effects model or fixed-effects model was selected based on the level of heterogeneity among the included studies.

RESULTS

Eight studies comprising 2307 patients were included in this meta-analysis. A low PNI was significantly associated with worse recurrence-free survival (RFS) (HR 2.02, 95% CI 1.66 to 2.47, p<0.001) and overall survival (OS) (HR 4.35, 95% CI 1.25 to 16.83, p=0.033) in patients with GISTs. In addition, a low PNI was significantly associated with tumour size ≥5 cm (OR 1.65, 95% CI 1.21 to 2.24, p=0.002) and primary tumour site in small intestine/colorectum/extra-GISTs (OR 2.03, 95% CI 1.26 to 3.26, p=0.004).

CONCLUSIONS

Patients with GISTs and a lower PNI had inferior RFS and OS. Patients with GISTs and a low PNI may have a higher risk of tumour recurrence.

Prognostic Nutritional Index Predicts Response and Prognosis in Cancer Patients Treated With Immune Checkpoint Inhibitors: A Systematic Review and Meta-Analysis

Objective

To investigate the association between pretreatment prognostic nutritional index (PNI) and clinical survival outcomes for advanced-stage cancer patients treated with immune checkpoint inhibitors (ICIs).

Methods

We conducted a comprehensive literature search to identify eligible studies concerning the relationship between pretreatment PNI and survival outcomes in advanced cancer patients treated with ICIs. Published data were extracted and pooled odds ratio (pOR) for objective response rate (ORR), disease control rate (DCR), and pooled hazard ratio (pHR) for overall survival (OS), progressive-free survival (PFS), along with 95% confidence intervals (95% CIs) were calculated.

Results

Twelve studies with 1,359 participants were included in our study. A higher level of PNI indicated a greater ORR (pOR = 2.17, 95% CI = 1.52–3.10) and favorable DCR (pOR = 2.48, 95% CI = 1.87–3.29). Low PNI was associated with a shorter OS (pHR = 2.24, 95% CI = 1.57–3.20) and unfavorable PFS (pHR = 1.61, 95% CI = 1.37–1.88).

Conclusion

Low PNI might be an effective biomarker of poor tumor response and adverse prognosis of advanced cancer patients with ICIs. Further studies are needed to verify the prognostic value of PNI in clinical practice.

Preoperative Prognostic Nutritional Index Predict Survival in Patients With Resectable Esophageal Squamous Cell Carcinoma

BACKGROUND

Prognostic nutritional index (PNI) is one of the most important factors related to prognosis in many types of cancer. This study aimed to evaluate the PNI on predicting the overall survival (OS) in resectable esophageal squamous cell carcinoma (ESCC).

METHODS

A total of 165 patients with resectable ESCC were included in our retrospective study. PNI values before surgery were calculated for each patient [PNI = 10 × albumin (gr/dL) + 0.005 × total lymphocyte count (mm³)]. PNI cutoff value was selected by drawing receiver operating characteristics (ROC) curve, which used OS time as the endpoint. The Kaplan-Meier method and the Cox regression model of multivariate analysis were used to analyze the prognostic relationship between PNI and OS.

RESULTS

Among the 165 patients, 34 (20.6%) were women and 131 (79.4%) were men. The mean age was 62.67 ± 7.95 years, with the age range from 44 to 85 years. The average PNI was 46.68 ± 8.66. ROC curve showed that the best cutoff value was 43.85. All patients were divided into two groups: 72 patients (43.6%) were in the low PNI group (<43.85), while 93 patients (56.4%) were in the high PNI group (≥ 43.85). Univariate analysis demonstrated that PNI, tumor length, and T-stage and pathological stage were related to the prognosis of patients with ESCC (P <0.05). The Kaplan-Meier curve showed that the high PNI group has significantly increased OS compared to low PNI group (p = 0.01). Three-year OS rates were 57.5% in the low PNI group while 77.7% in the high PNI group. Univariate analysis showed that advanced pathological stage, large tumor length, and low PNI (separately, p < 0.05) were significant risk factors for shorter OS. Multivariate analysis showed that tumor length (P = 0.008) and PNI (P = 0.017) were independent prognostic factors in patients with resectable ESCC.

CONCLUSION

PNI is a simple and useful predictive marker for the OS time in patients with radical esophagectomy.

Circulating miRNA and cell-free DNA as a potential diagnostic tool in early detection of biliary tract cancer: A meta-analysis

AIM

To investigate the clinical efficacy of miRNA, cell-free DNA, and circulating tumor cells in biliary tract cancer diagnosis.

METHODS

A comprehensive literature search was conducted up to September 2021, using public databases. The quality of the screened articles was evaluated using the Quality Assessment of Diagnostic Accuracy Studies (QUADAS 2) tool followed by statistical analysis. Revman 5.4, Meta-disc 1.4, and MetaEssential were used for the statistical estimation.

RESULTS

A total of 28 studies were retrieved that involved 3,333 participants (1,874 patients and 1,450 control). Overall performance in terms of pooled sensitivity and specificity was 0.84 and 0.91 individually. Moreover, positive likelihood ratio (PLR), negative likelihood ratio (NLR), and area under the curve (AUC) were 10.29, 0.15, and 0.9567 respectively. Subgroup analysis based on the sample source revealed that plasma can be a prominent source in diagnosing BTC. Publication bias assessed using Begg's and Egger's test reported that no publication bias was present (p-value: 0.083, 0.162).

CONCLUSIONS

The miRNA and cell-free DNA exhibited a high diagnostic value in early diagnosis. While CTCs might be useful in the later stages.

The prognostic value of prognostic nutritional index in advanced cancer receiving PD-1/L1 inhibitors: A meta-analysis

Purpose

To study the prognostic value of the prognostic nutritional index (PNI) in advanced cancers receiving programmed death‐1/programmed death‐ligand 1 (PD‐1/L1) inhibitors.

Methods

Online electronic databases were comprehensively searched and available literature was retrieved. We extracted available data from included researches and pooled the hazard ratios (HRs) and 95% confidence intervals (CIs) to learn the prognostic value of PNI on overall survival (OS) or progression‐free survival (PFS); and meanwhile calculated the relative risk (RR) with 95% CI to study the relationship between PNI and treatment efficacy (objective response rate [ORR] or disease control rate [DCR]) in late staged cancer receiving PD‐1/L1 inhibitors.

Results

Nine studies were finally selected for this meta‐analysis. We obtained data regarding PNI on OS from all nine studies, and the pooled HR was 2.31 (95% CI 1.81–2.94, p = 0.000), showing a correlation between low PNI and worse OS. Eight studies reported a relationship between PNI and PFS, and combined results revealed shorter PFS in patients with lower PNI, with an HR of 1.75 (95% CI 1.40–2.18, p = 0.000). Four studies explored the association between PNI and ORR and two studies explored the influence of PNI on DCR. An association between PNI and ORR (RR = 0.47, p = 0.003) was observed, while no association between PNI and DCR (RR = 0.49, p = 0.103) was observed by pooling these studies.

Conclusion

In summary, this meta‐analysis indicated that a lower PNI was significantly correlated with decreased OS and PFS and played adverse roles in ORR in advanced cancer patients receiving PD‐1/L1 inhibitors. Therefore, PNI could be promising for predicting prognosis and treatment response in advanced malignancies treated with PD‐1/L1 inhibitors.

The Prognostic Value of the Prognostic Nutritional Index in Operable High-Grade Glioma Patients and the Establishment of a Nomogram

Background

Studies confirmed the predictive value of the prognostic nutrition index (PNI) in many malignant tumors. However, it did not reach a consensus in glioma. Therefore, this study investigated the prognostic value of preoperative PNI in operable high-grade glioma and established a nomogram.

Methods

Clinical data of high-grade glioma patients were retrospectively analyzed. The primary endpoint was overall survival (OS). Survival analysis was conducted by the Kaplan–Meier method, log-rank test, and Cox regression analysis. A nomogram was established. The prediction effect of the nomogram covering PNI was verified by area under the curve (AUC).

Results

A total of 91 operable high-grade glioma patients were included. Kaplan–Meier analysis showed that among grade IV gliomas (n = 55), patients with higher PNI (>44) showed a trend of OS benefit (p = 0.138). In grade III glioma (n = 36), patients with higher PNI (>47) had longer OS (p = 0.023). However, the intersecting Kaplan–Meier curve suggested that there may be some confounding factors. Cox regression analysis showed that higher PNI was an independent prognostic factor for grade IV glioma (HR = 0.388, p = 0.040). In grade III glioma, there was no statistically relationship between PNI levels and prognosis. When evaluating the prognostic ability of PNI alone by ROC, the AUC in grade III and IV gliomas was low, indicating that PNI alone had poor predictive power for OS. Interestingly, we found that the nomogram including preoperative PNI, age, extent of resection, number of gliomas, and MGMT methylation status could predict the prognosis of patients with grade IV glioma well.

Conclusion

The PNI level before surgery was an independent prognostic factor for patients with grade IV glioma. The nomogram covering PNI in patients with grade IV glioma also proved the value of PNI. However, the value of PNI in grade III glioma needs to be further evaluated. More prospective studies are needed to verify this conclusion.

Long-term and short-term prognostic value of the prognostic nutritional index in cancer: a narrative review

Objective

To perform a narrative review of the prognostic value of prognostic nutritional index (PNI) in cancers.

Background

Prognostic estimation greatly determines the treatment approach in various cancers. The PNI, calculated using the serum albumin level and total lymphocyte count, is a useful indicator to assess nutritional and immunological conditions. The PNI represents a low-cost, easy-to-perform, noninvasive, rapid, and standardized tool for estimating the prognosis of cancer. Many studies have aimed to clarify the prognostic value of PNI for various types of cancer.

Methods

We summarize the studies, particularly the systematic reviews and meta-analyses, that have examined the prognostic value of PNI in common cancers.

Conclusions

The relevant studies indicate that low PNI is an independent prognostic factor for decreasing overall survival in many types of cancers. Disease-free survival and progression-free survival were also associated with PNI in some types of cancer including lung cancer and renal cell carcinoma. Therefore, we suggest that the measurement of PNI is a useful method to identify cancer patients that have a worse prognosis and that the treatment strategy for these patients be adjusted accordingly. We hypothesize that maintaining good nutritional status during treatment may improve outcomes of various cancers.

A combined prediction model for biliary tract cancer using the prognostic nutritional index and pathological findings: a single-center retrospective study

Background

The prognostic nutritional index, a marker of nutritional status and systemic inflammation, is a known biomarker for various cancers. However, few studies have evaluated the predictive value of the prognostic nutritional index in patients with biliary tract cancer. Therefore, we investigated the prognostic significance of the prognostic nutritional index, and developed a risk-stratification system to identify prognostic factors in patients with biliary tract cancer.

Methods

Between July 2010 and March 2021, 117 patients with biliary tract cancer were recruited to this single-center, retrospective study. The relationship between clinicopathological variables, including the prognostic nutritional index, and overall survival was analyzed using univariate and multivariate analyses. A P < 0.05 was considered statistically significant.

Results

The median age was 75 (range 38–92) years. Thirty patients had intrahepatic cholangiocarcinoma; 29, gallbladder carcinoma; 27, distal cholangiocarcinoma; 17, ampullary carcinoma; and 13, perihilar cholangiocarcinoma. Curative (R0) resection was achieved in 99 patients. In univariate analysis, the prognostic nutritional index (< 42), lymph node metastasis, carbohydrate antigen 19-9 level (> 20 U/mL), preoperative cholangitis, tumor differentiation, operation time (≥ 360 min), and R1–2 resection were significant risk factors for overall survival. The prognostic nutritional index (P = 0.027), lymph node metastasis (P = 0.040), and tumor differentiation (P = 0.006) were independent prognostic factors in multivariate analysis. A combined score of the prognostic nutritional index and pathological findings outperformed each marker alone, in terms of discriminatory power.

Conclusions

The prognostic nutritional index, lymph node metastasis, and tumor differentiation were independent prognostic factors after surgical resection in patients with biliary tract cancer. A combined prediction model using the prognostic nutritional index and pathological findings accurately predicted prognosis, and can be used as a novel prognostic factor in patients with biliary tract cancer.