Prognostic Significance of the Prognostic Nutritional Index in Patients with Recurrent Esophageal Squamous Cell Carcinoma

Postoperative prognostic nutrition index predicts survival in patients with small bowel adenocarcinoma after surgical resection

BACKGROUND

Surgical resection (SR) is the main treatment for small bowel adenocarcinoma (SBA), but it increases metabolic demand, systemic inflammation, and digestive dysfunction, resulting in major impacts on the postoperative outcomes of patients. In this study, we aimed to investigate the role of the postoperative prognostic nutritional index (PNI), a surrogate marker of inflammation and nutrition, in patients with SBA after resection.

METHODS

From June 2014 to March 2022, 44 consecutive patients who underwent SR for SBA in Taipei Veterans General Hospital were retrospectively reviewed. Factors associated with survival including PNI were analyzed.

RESULTS

PNI decreased in patients after SR for SBA (median change: -1.82), particularly in those who underwent Whipple operation or developed postoperative pancreatic fistula. Postoperative PNI <45.2 best predicted overall survival (OS) (area under the receiver operating characteristic curve [AUROC]: 0.826, p = 0.001). Patients with lower postoperative PNI had significantly worse OS compared to those with higher postoperative values (median OS: 19.3 months vs not reached, p < 0.001). Low postoperative PNI (hazard ratio [HR]: 11.404, p = 0.002), tumoral lymphovascular invasion (HR: 8.023, p = 0.012), and adjuvant chemotherapy (HR: 0.055, p = 0.002) were independent risk factors for OS. Postoperative PNI also significantly predicted recurrence-free survival independent of lymphovascular invasion and adjuvant chemotherapy (HR: 6.705, p = 0.001).

CONCLUSION

PNI commonly decreases in patients with SBA who undergo Whipple surgery or develop postoperative pancreatic fistula. Postoperative PNI independently predicts survival and may serve as a clinical marker to optimize patient outcomes.

Predictive value of prognostic nutritional index as prognostic biomarkers in patients with lymphoma: a systematic review and meta-analysis

BACKGROUND

Several research have indicated the significant potential of the Prognostic Nutritional Index (PNI) as a prognostic biomarker in lymphoma patients. However, there is some inconsistency in the findings of a few studies. Hence, to offer a thorough evaluation of the predictive significance of PNI in lymphoma patients, we performed a meta-analysis to examine the prognostic value of PNI for survival outcomes in lymphoma patients.

METHODS

We conducted a comprehensive search for pertinent works published up until December 2023 in databases such as PubMed, EMBASE, Cochrane Library, and Web of Science. We obtained hazard ratio (HR) data related to survival outcomes and computed aggregated HRs with their corresponding 95% confidence intervals (CIs) to evaluate the correlation between PNI and both overall survival (OS) and progression-free survival (PFS) in lymphoma patients.

RESULTS

By analyzing data from 1260 patients in 28 studies, we found that PNI levels were associated with prognosis in lymphoma patients. High PNI levels predicted that patients had longer OS (HR: 0.46, 95% CI 0.37-0.58, P < 0.05) and better PFS (HR: 0.56, 95% CI 0.45-0.70, P < 0.05). Subgroup analyses showed that the predictive ability of PNI for patient prognosis may differ depending on the type of lymphoma. In addition, we found that the critical PNI value had greater predictive potential at 40-45 and above 45.

CONCLUSION

Our study suggests a strong association between PNI and prognostic outcomes in lymphoma patients, indicating that PNI holds substantial prognostic value in this population.

The prognostic nutritional index represents a novel inflammation-nutrition-based prognostic factor for nasopharyngeal carcinoma

Purpose

This study explored the relationship between the prognostic nutritional index (PNI) and overall survival rate (OS) in patients with nasopharyngeal carcinoma (NPC), and established and validated an effective nomogram to predict clinical outcomes.

Methods

This study included 618 patients newly diagnosed with locoregionally advanced NPC. They were divided into training and validation cohorts at a ratio of 2:1 based on random numbers. The primary endpoint of this study was OS, progression-free survival (PFS) was the second endpoint. A nomogram was drawn from the results of multivariate analyses. Harrell's concordance index (C-index), area under the receiver operator characteristic curve (AUC), and decision curve analysis (DCA) were used to evaluate the clinical usefulness and predictive ability of the nomogram and were compared to the current 8th edition of the International Union Against Cancer/American Joint Committee (UICC/AJCC) staging system.

Results

The PNI cutoff value was 48.1. Univariate analysis revealed that age (p < 0.001), T stage (p < 0.001), N stage (p = 0.036), tumor stage (p < 0.001), PNI (p = 0.001), lymphocyte-neutrophil ratio (NLR, p = 0.002), and lactate dehydrogenase (LDH, p = 0.009) were significantly associated with OS, age (p = 0.001), T-stage (p < 0.001), tumor stage (p < 0.001), N-stage (p = 0.011), PNI (p = 0.003), NLR (p = 0.051), and LDH (p = 0.03) were significantly associated with PFS. Multivariate analysis showed that age (p < 0.001), T-stage (p < 0.001), N-stage(p = 0.02), LDH (p = 0.032), and PNI (p = 0.006) were significantly associated with OS, age (p = 0.004), T-stage (<0.001), N-stage (<0.001), PNI (p = 0.022) were significantly associated with PFS. The C-index of the nomogram was 0.702 (95% confidence interval [CI]: 0.653-0.751). The Akaike information criterion (AIC) value of the nomogram for OS was 1142.538. The C-index of the TNM staging system was 0.647 (95% CI, 0.594-0.70) and the AIC was 1163.698. The C-index, DCA, and AUC of the nomogram demonstrated its clinical value and higher overall net benefit compared to the 8th edition of the TNM staging system.

Conclusion

The PNI represents a new inflammation-nutrition-based prognostic factor for patients with NPC. In the proposed nomogram, PNI and LDH were present, which led to a more accurate prognostic prediction than the current staging system for patients with NPC.

Prognostic Significance of Prognostic Nutritional Index in Esophageal Squamous Cell Carcinoma Patients Undergoing Radical Radiotherapy: A Propensity Score Matching Analysis

BACKGROUND

The preoperative prognostic nutritional index (PNI) is associated with postoperative complications and long-term survival of various cancers. However, its role in esophageal squamous cell carcinoma (ESCC) is inconclusive. The aim of this study was to identify the prognostic value of PNI in predicting survival in ESCC patients undergoing radical radiotherapy.

METHODS

We retrospectively reviewed 354 ESCC patients undergoing radical radiotherapy. The time-dependent receiver operating characteristics was used to determine the optimal cutoff value. The association between PNI and survival was determined by Kaplan-Meier method and Cox regression model. Propensity score matching was applied to balance the baseline characteristics.

RESULTS

PNI was positively correlated with hemoglobin (P < 0.001) and prealbumin (P < 0.001). The optimal cutoff value of PNI was set at 50.5. The 5-year overall survival (OS) in low PNI group and high PNI group were 20.8% and 34.0%, respectively (P < 0.001). The 5-year progression free survival in patients with low PNI and high PNI were 15.2% and 28.5%, respectively (P = 0.001). Multivariate analysis showed that PNI was a significant predictor for OS (P = 0.038). In the PSM analysis, PNI still remained an independent predictor for OS (P = 0.015).

CONCLUSIONS

The PNI is a significant and independent predictor for OS of ESCC patients undergoing radical radiotherapy.

Research Progress of Preoperative FPR, FAR or AFR in Patients with Colorectal Cancer

Research has confirmed that plasma albumin (Alb), prealbumin (PA) and fibrinogen (Fib) are involved in regulating the occurrence and development of various tumors. Their levels in peripheral blood are related to the survival outcome and treatment response of patients, but the accuracy and specificity of single application have yet to be fully realized. A growing amount of evidence indicates that predictors such as preoperative fibrinogen to prealbumin ratio (FPR), fibrinogen to albumin ratio (FAR) or albumin to fibrinogen ratio (AFR) are emerging as comprehensive indicators. Indeed, their components play a key regulatory role in the progression of colorectal cancer (CRC). Preoperative FPR, FAR or AFR levels, therefore, are expected to become new biomarkers for prognosis evaluation and curative effect prediction for CRC patients and are significant in the guidance they could provide for the development of individualized treatment strategies.

The role of prognostic nutritional index for clinical outcomes of gastric cancer after total gastrectomy

The purpose of this article is to evaluate the relationship between the nutrition-based microenvironment and clinicopathological information for gastric cancer patients and to investigate the prognostic value of nutrition index for gastric cancer patients undergoing total gastrectomy. We retrospectively collected clinical information of 245 gastric cancer patients who underwent total gastrectomy in our hospital between January 1st 2005 and December 30th 2015. According to the prognostic nutritional index (PNI) level, they were divided into low PNI (< 43) group and high PNI (≥ 43) group. The relationship between PNI and the disease-free survival (DFS) and overall survival (OS) were analyzed by statistical analysis. Univariate analyses demonstrated that TNM stage (p = 0.025), patients age (p = 0.042), lymph node metastasis (p = 0.028), tumor differentiation (p = 0.037) and a low PNI (p = 0.033) were closely correlated with a poor prognosis. In multivariate analysis, TNM stage (p = 0.027) and a low PNI (p = 0.041) were found to be independently associated with poor survival. Additionally, when age was considered as a stratified factor, univariate analyses demonstrated that low PNI correlated with shorter DFS in non-elderly (< 65) patients (p = 0.022) and shorter DFS (p = 0.036) and OS (p = 0.047) in elderly (≥ 65) patients. The low prognostic nutritional index is an independent risk factor associated with poor gastric cancer survival which represents the nutritional microenvironment. Patients with low pre-operative prognostic nutritional index levels should be observed more closely after surgery to prevent the occurrence of post-operative complications in the near future.

Nutritional Indexes as Predictors of Survival and Their Genomic Implications in Gastric Cancer Patients

Gastric cancer is an aggressive malignancy with poor prognosis. Although obesity is a risk factor, an association between overweight and better survival has been reported. We explored the genomic implications of such association. Data from 940 patients were analyzed using Cox regression models and ROC curves to assess body mass index (BMI) and prognostic nutritional index (PNI) as predictors of survival. The exome sequencing of a random subset was analyzed to determine copy number variation (CNV) and single nucleotide variation (SNV), using Kruskal-Wallis and chi-square tests to evaluate their clinical implications. Overall survival was lower in patients with BMI ≤ 24.9 and PNI ≤ 29 (p < 0.001). BMI and survival were directly correlated (HR: 0.972, 95% CI: 0.953, 0.992; p-value < 0.007). A higher PNI correlated with improved survival (HR: 0.586, 95% CI: 0.429, 0.801; p-value <0.001). We found a PNI cutoff point of 41.00 for overall survival. Genomic analysis showed an association between lower BMI, less CNV events (p-value = 0.040) and loss of tumor suppressor genes (p-value = 0.021). BMI and PNI are independent factors for overall survival in gastric cancer, probably linked to variations in genomic intratumoral alterations.

Preoperative systemic immune-inflammation index and prognostic nutritional index predict prognosis of patients with pulmonary neuroendocrine tumors after surgical resection

Background

Pulmonary neuroendocrine tumors (PNETs) are a special subtype of lung cancer with treatment methods are limited and prognostic indicators are insufficient. The preoperative systemic immune-inflammation index (SII) and prognostic nutritional index (PNI) are effective tumor biomarkers that have important significance for the prognosis of many malignant tumors. However, there is no similar research on the predictive value of SII and PNI for operable PNETs. Our study aimed to clarify the predictive value of SII and PNI in PNETs patients after surgical resection.

Methods

This study retrospectively analysed the relevant clinical data of PNETs patients who received surgical treatment from 2005 to 2015, which was obtained from patient's clinical records, blood test results recorded on admission before surgical treatment, and follow-up by hospital records.

Results

A total of 381 PNETs patients were enrolled in this study. Preoperative PNI was associated with age (P=0.001), T stage (P=0.001), tumor length (P=0.002), drinking status (P=0.013) and smoking status (P=0.049), while SII was significantly associated with T stage (P=0.001), tumor length (P=0.001) and TNM stage (P=0.001). There was significant difference between high SII and low PNI and worse OS of PENTs (P=0.001 and P<0.001). SII (P=0.002), neutrophil/lymphocyte ratio (NLR) (P<0.001), platelet/lymphocyte ratio (PLR) (P=0.001), lymph node metastasis (P<0.001), operation time (P=0.034<0.05), treatment (P<0.001) and PNI (P=0.044<0.05) were independent prognostic factors for PNETs identified by multivariate Cox regression analysis.

Conclusions

High SII and low PNI indicated poor prognosis of patients with PNETs. Both of SII and PNI can predict the prognosis of PNETs and stratify patients for better treatment.

Can Prognostic Nutritional Index be a Prediction Factor in Esophageal Cancer?: A Meta-Analysis

Objective: Prognostic nutritional index (PNI) can be used for survival predication in patients with esophageal cancer (EC). However, the prognostic value of PNI in EC is inconclusive in accordance to the literature. This meta-analysis aimed to evaluate the prediction value of PNI in EC.Methods: Studies focus on the association of PNI and EC were retrieved from the electronic databases. Standard meta-analysis methods were used for data evaluation.Results: Our search yield 12 studies, involving 3118 patients with EC for data analysis. The pooled data suggested that low PNI was correlated with worse overall survival (hazard ratio (HR) = 1.29, 95% confidence interval (CI):1.11-1.50, P = 0.001) and cancer-specific survival (HR = 2.18, 95% CI: 1.68-2.83, P < 0.0001). Moreover, lower PNI was associated with unfavorable prognostic factors (the presence of lymph node metastasis, deeper tumor invasion and advanced TNM stages).Conclusion: The lower PNI was correlated with unfavorable prognostic factor and poor prognosis in patients with EC.

A novel prognostic marker based on risk stratification with prognostic nutritional index and age for nasopharyngeal carcinoma patients who received neoadjuvant chemotherapy

Aim: To evaluate the prognostic value of pretreatment prognostic nutritional index (PNI) in nasopharyngeal carcinoma (NPC) patients treated with neoadjuvant chemotherapy followed by concurrent chemoradiotherapy. Materials & methods: We conducted a retrospective study on prognostic value of PNI in NPC patients. A new prognostic marker was explored based on risk stratification with PNI and age. Results: PNI and age were two independent prognostic factors for overall survival (OS) and progression free survival besides node stage and clinical stage. Low prognostic nutritional index and high age (LPNI-HAge) was identified as an independent prognostic factor for both OS (p < 0.001) and progression free survival (p = 0.008), which has a better predict value than sole PNI or age. Conclusion: The novel prognosis index LPNI-HAge provides prognostication of OS and progression free survival for NPC patients treated with neoadjuvant chemotherapy plus concurrent chemoradiotherapy.

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.

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.

Prognostic value of pretreatment prognostic nutritional index in non-small cell lung cancer: A systematic review and meta-analysis

BACKGROUND:

The pretreatment prognostic nutritional index has been considered a potential prognostic biomarker in patients with non-small cell lung cancer (NSCLC), but this remains controversial. Therefore, we performed a meta-analysis to systematically assess the prognostic value of the prognostic nutritional index in patients with NSCLC.

METHODS:

We systematically searched PubMed, EMBASE, Web of Science, and CNKI. The hazard ratios (HRs) with their corresponding 95% confidence intervals (CIs) were used to evaluate the link between the prognostic nutritional index and the oncological outcomes of patients with NSCLC, including overall survival, disease-free survival/recurrence-free survival, and progression-free survival.

RESULTS:

Fifteen studies were included in this meta-analysis. Twelve of these studies explored the association between the prognostic nutritional index and the overall survival of patients with NSCLC. Our pooled analysis indicated that a low prognostic nutritional index was significantly related to adverse overall survival (HR 1.61; 95% CI 1.44, 1.81; P < 0.001). Our results also showed that the prognostic nutritional index was a negative predictor for disease-free survival/recurrence-free survival, and progression-free survival in patients with NSCLC.

CONCLUSION:

Our meta-analysis demonstrated that there was a close association between the prognostic nutritional index value and prognosis in NSCLC patients and that the prognostic nutritional index may act as a useful prognostic biomarker in NSCLC patients.

The predictive value of a preoperative systemic immune-inflammation index and prognostic nutritional index in patients with esophageal squamous cell carcinoma

Growing evidence indicates that systemic inflammation response and malnutrition status are correlated with survival in certain types of solid tumors. The aim of this study is to evaluate the association between the systemic immune-inflammation index (SII) and prognostic nutritional index (PNI) and overall survival (OS) in patients with esophageal squamous cell carcinoma (ESCC) after esophagectomy. A consecutive series of 655 patients with resected ESCC who underwent esophagectomy were enrolled in the retrospective study. The preoperative SII was defined as platelet × neutrophil/lymphocyte counts. The PNI was calculated as albumin concentration (g/L) + 5 × total lymphocyte count (10⁹ /L). The optimal cut-off values of SII, neutrophil-to-lymphocyte ratio (NLR), platelet-to-lymphocyte ratio (PLR), and PNI were determined by receiver operating characteristic analysis. Survival analysis was performed using the Kaplan-Meier method with a log-rank test, followed by a multivariate Cox proportional hazards model. A high SII was significantly related to tumor size, histological type, invasion depth, and TNM stage (p < 0.05). A low PNI was significantly associated with age, tumor size, invasion depth, lymph node metastasis, and TNM stage (p < 0.05). Univariate analysis revealed that age, smoking history, tumor size, invasion depth, lymph node metastasis, SII, NLR, PLR, and PNI were predictors of OS (p < 0.05). Multivariate analysis identified age (p = 0.041), tumor size (p = 0.016), invasion depth (p < 0.001), lymph node metastasis (p < 0.001), SII (p = 0.033), and PNI (p = 0.022) as independent prognostic factors correlated with OS. There was a significant inverse relationship between the SII and PNI (r = 0.309; p < 0.001). The predictive value increased when the SII and PNI were considered in combination. Our results demonstrate that the preoperative high SII and low PNI are powerful indicators of aggressive biology and poor prognosis for patients with ESCC. The combination of SII and PNI can enhance the accuracy of prognosis.