Prognostic Significance of Prognostic Nutritional Index in Patients with Renal Cell Carcinoma: A Meta-Analysis

Does red blood cell distribution width predict prognosis in metastatic renal cell carcinoma patients using first-line vascular endothelial growth factor receptor tyrosine kinase inhibitor therapy?

Aim

It is red cell distribution width (RDW) that has been reported to show an inflammatory response which has been studied recently. The aim of this study is to investigate whether the pre-treatment RDW in patients using first-line vascular endothelial growth factor tyrosine kinase inhibitor (VEGFR TKI) with the diagnosis of metastatic renal cell carcinoma (mRCC) predicts treatment response and is a prognostic factor or not.

Methods

About 92 patients diagnosed with mRCC who were being treated with sunitinib or pazopanib in the first line between January 2015 and June 2021 were included in the study. The patients were divided into 2 groups, as being ≤15.3 and >15.3, according to the RDW cut-off value calculated by ROC analysis.

Results

The mOS of patients with a RDW of ≤15.3% was 45.0 (30.0-59.9) months, and of 21.3 (10.4-32.2) in those with a RDW of >15.3%. This difference was statistically significant (p < 0.001). In the group of patients with a RDW of ≤15.3, median progression free survival (mPFS) (38.04 [16.3-59.7] months) was found to be significantly higher than those with a RDW of >15.3 (17.1 [11.8-22.5] months) (p = 0.04). In multivariate analysis, RDW level (≤15.3, >15.3), was determined to be prognostic markers (p = 0.022).

Conclusion

In mRCC patients, the RDW value measured before first-line VEGFR TKI therapy is an independent prognostic marker.

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.

Progress in Applicability of Scoring Systems Based on Nutritional and Inflammatory Parameters for Ovarian Cancer

Ovarian cancer is a malignancy that seriously endangers women’s health; its case fatality rate ranks first among the gynecological malignancies. The status of nutrition of ovarian cancer patients is related to their prognoses. Thus, it is important to evaluate, monitor, and improve the nutritional status of ovarian cancer patients during their treatment. Currently, there are several tools for examining malnutrition and nutritional assessment, including NRI (nutrition risk index), PG-SGA (patient-generated subjective global assessment), and NRS 2002 (nutritional risk screening 2002). In addition to malnutrition risk examination and related assessment tools, the evaluation of muscle mass, C-reactive protein, lymphocytes, and other inflammation status indicators, such as neutrophils to lymphocytes ratio, lymphocyte-to-monocyte ratio, and C-reactive protein-albumin ratio, is of great importance. The nutritional status of ovarian cancer patients undergoing surgery affects their postoperative complications and survival rates. Accurate evaluation of perioperative nutrition in ovarian cancer patients is crucial in clinical settings. An intelligent nutritional diagnosis can be developed based on the results of its systematic and comprehensive assessment, which would lay a foundation for the implementation of personalized and precise nutritional therapy.

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.