Low preoperative prognostic nutritional index predicts poor survival in patients with newly diagnosed high-grade gliomas

Serum beta2-microglobulin acts as a biomarker for severity and prognosis in glioma patients: a preliminary clinical study

BACKGROUND

Gliomas are the deadliest malignant tumors of the adult central nervous system. We previously discovered that beta2-microglobulin (B2M) is abnormally upregulated in glioma tissues and that it exerts a range of oncogenic effects. Besides its tissue presence, serum B2M levels serve as biomarkers for various diseases. This study aimed to explore whether serum B2M levels can be used in the diagnosis and prognosis of gliomas.

METHODS

Medical records from 246 glioma patients were retrospectively analyzed. The relationship between preoperative serum B2M levels and clinicopathological features was examined. Kaplan-Meier analysis, alongside uni- and multivariate Cox regression, assessed the association between B2M levels, systemic inflammatory markers, and glioma patient prognosis. Receiver operating characteristic (ROC) curve analysis evaluated the diagnostic significance of these biomarkers specifically for glioblastoma (GBM).

RESULTS

Patients with malignant gliomas exhibited elevated preoperative serum B2M levels. Glioma patients with high serum B2M levels experienced shorter survival times. Multivariate Cox analysis determined the relationship between B2M levels (hazard ratio = 1.92, 95% confidence interval: 1.05-3.50, P = 0.034) and the overall survival of glioma patients. B2M demonstrated superior discriminatory power in distinguishing between GBM and non-GBM compared to inflammation indicators. Moreover, postoperative serum B2M levels were lower than preoperative levels in the majority of glioma patients.

CONCLUSIONS

High preoperative serum B2M levels correlated with malignant glioma and a poor prognosis. Serum B2M shows promise as a novel biomarker for predicting patient prognosis and reflecting the therapeutic response.

Association of prognostic nutritional index with prognostic outcomes in patients with glioma: a meta-analysis and systematic review

Background

The potential link between Prognostic Nutritional Index (PNI) and prognosis in patients with glioma remains uncertain. This meta-analysis was conducted to assess the clinical value of PNI in glioma patients by integrating all available evidence to enhance statistical power.

Method

A systematic search of databases including Medline, EMBASE, Google Scholar, and Cochrane Library was conducted from inception to January 8, 2023 to retrieve all pertinent peer-reviewed articles. The primary outcome of the study was to examine the association between a high PNI value and overall survival, while secondary outcome included the relationship between a high PNI and progression-free survival.

Results

In this meta-analysis, we included 13 retrospective studies published from 2016 to 2022, which analyzed a total of 2,712 patients. Across all studies, surgery was the primary treatment modality, with or without chemotherapy and radiotherapy as adjunct therapies. A high PNI was linked to improved overall survival (Hazard Ratio (HR) = 0.61, 95% CI: 0.52 to 0.72, p < 0.00001, I2 = 25%), and this finding remained consistent even after conducting sensitivity analysis. Subgroup analyses based on ethnicity (Asian vs. non-Asian), sample size (<200 vs. >200), and source of hazard ratio (univariate vs. multivariate) yielded consistent outcomes. Furthermore, patients with a high PNI had better progression-free survival than those with a low PNI (HR=0.71, 95% CI: 0.58 to 0.88, p=0.001, I2 = 0%).

Conclusion

Our meta-analysis suggested that a high PNI was associated with better overall survival and progression-free survival in patients with glioma. These findings may have important implications in the treatment of patients with glioma. Additional studies on a larger scale are necessary to investigate if integrating the index into the treatment protocol leads to improved clinical outcomes in individuals with glioma.

Systematic review registration

[https://www.crd.york.ac.uk/prospero/], identifier [CRD42023389951].

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.

Predictive value of the preoperative prognostic nutritional index for postoperative progression in patients with pancreatic neuroendocrine neoplasms

Objective

The preoperative nutritional status of cancer patients is closely related to prognosis. The prognostic nutritional index (PNI) has been shown to predict the prognosis of a variety of tumors, but its study in pancreatic neuroendocrine neoplasms (pNENs) is lacking. The aim of the present study is to investigate the predictive value of the preoperative PNI for postoperative progression in patients with pNENs.

Methods

The medical records of 181 patients with pNENs, who underwent surgery, were retrospectively analyzed. A time-dependent receiver operating characteristic (ROC) curve was plotted to determine the optimal cut-off value of the preoperative PNI. Correlations between the preoperative PNI and clinicopathological parameters were analyzed using multiple linear regression. A Kaplan-Meier curve was applied to assess the progression-free survival (PFS) rate, which was tested using a log rank. Univariate and multivariate Cox proportional risk regression models were used to analyze the predictive value of the preoperative PNI on prognosis.

Results

The optimal cut-off value of the preoperative PNI was 48.275. The patients were divided into a high PNI group (PNI > 48.275, n = 92) and a low PNI group (PNI ≤ 48.275, n = 89). The proportion of patients with tumor progression after surgery was significantly higher in the low PNI group compared with that in the high PNI group (P = 0.004). The Kaplan-Meier curve showed that the PFS rate after surgery was significantly lower in the low PNI group compared with that in the high PNI group (P = 0.026). The preoperative PNI was an independent predictor of PFS (HR: 2.727, 95% CI: 1.174∼6.333, P = 0.020).

Conclusion

The preoperative PNI has a predictive value for postoperative progression in patients with pNENs.

Systemic inflammatory biomarkers in primary central nervous system lymphoma versus high-grade glioma: exploratory, comparative and correlative analysis

Aim:

To assess systemic inflammatory biomarkers in non invasive differential diagnosis of primary central nervous system lymphoma (PCNSL) from high-grade glioma (HGG).

Materials & methods:

Patients with similar morphology (PCNSL or HGG) on conventional neuro-imaging were included. Systemic inflammatory indices were calculated from pretreatment complete blood counts and liver function tests and compared against histopathology as reference standard.

Results:

Mean values of absolute lymphocyte count and prognostic nutritional index were significantly different between PCNSL (n = 42) versus HGG (n = 16). Area under receiver operating characteristics curve for absolute lymphocyte count and prognostic nutritional index in the diagnosis of PCNSL was 0.70 and 0.72 respectively suggesting fair and acceptable diagnostic accuracy.

Conclusion:

Systemic inflammatory biomarkers complement established clinico-radiological features and aid in the differential diagnosis of PCNSL from HGG.

There exists a complex interplay between cancer and inflammation that can manifest as increased inflammatory biomarkers in blood. However, utility of systemic inflammatory biomarkers in the non invasive differential diagnosis of primary brain lymphoma from high-grade glioma is generally lacking. Two simple serum biomarkers, absolute lymphocyte count and prognostic nutritional index, easily derived from routine pretreatment blood tests have fair correlation and acceptable diagnostic accuracy in differentiating brain lymphoma from glioma in patients with similar morphology on MRI.

Impact of prognostic nutritional index on survival in recurrent glioblastoma

BACKGROUND

Primary brain tumors are relatively rare malignancy, with high-grade gliomas (glioblastoma multiforme and anaplastic gliomas) are the most common types. We aimed to evaluate the prognostic value of Prognostic Nutritional Index (PNI), which is calculated by lymphocyte count and albumin, in recurrent glioblastoma patients treated with systemic treatment.

METHODS

Data of 64 patients with recurrent glioblastoma who received systemic treatment and followed in our clinic between 2012 and 2018 was retrospectively collected and analyzed. PNI was calculated as: [(10×serum albumin (g/dL))+(0.005×total lymphocyte count)]. Patients were categorized according to the median PNI value. We investigated the prognostic role of PNI groups, and survival outcomes.

RESULTS

Median value of PNI was 45.7, and median follow-up duration was 9 months (1-68 months). Median overall survival (OS) was 7.9 months (95%CI: 5.5-10.4). Median OS was significantly longer in patients with PNI>45.7 compared to patients with PNI≤45.7 (13.9 months (95%CI: 10.5-17.4), and 4.6 months (95%CI: 2.5-6.8), p<0.001, respectively). In multivariate analysis, PNI was found to be an independent prognostic factor for OS [HR:0.41 (95%CI:0.22-0.74), p=0.03)].

CONCLUSION

In our study, the PNI was found to be an independent prognostic biomarker in patients with recurrent glioblastoma, but further prospective trials are necessary to validate its prognostic role.

Efficacy of Ninjin'yoeito in treating severe coronavirus disease 2019 in patients in an intensive care unit

Coronavirus Disease-2019 (COVID-19), an infectious disease associated with severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2), is a global emergency with high mortality. There are few effective treatments, and many severe patients are treated in an intensive care unit (ICU). The purpose of this study was to evaluate whether the Japanese Kampo medicine ninjin'yoeito (NYT) is effective in treating ICU patients with COVID-19. Nine patients with confirmed SARS-CoV-2 infection admitted to the ICU were enrolled in this study. All patients underwent respiratory management with invasive mechanical ventilation (IMV) and enteral nutrition. Four patients received NYT (7.5 g daily) from an elemental diet tube. We retrospectively examined the prognostic nutritional index (PNI), length of IMV, length of ICU stay, length of hospital stay, rate of tracheostomy, and mortality rate. The median age of the enrolled participants was 60.0 years (4 men and 5 women). The median body mass index was 27.6. The most common comorbidity was diabetes (4 patients, 44%), followed by hypertension (3 patients, 33%) and chronic kidney disease (2 patients, 22%). The median length of IMV, ICU stay, and hospital stay were all shorter in the NYT group than in the non-NYT group (IMV; 4.0 days vs 14.3 days, ICU; 5.3 days vs 14.5 days, hospital stay; 19.9 days vs 28.2 days). In the NYT and non-NYT groups, the median PNI at admission was 29.0 and 31.2, respectively. One week after admission, the PNI was 30.7 in the NYT group and 24.4 in non-NYT group. PNI was significantly (p = 0.032) increased in the NYT group (+13.6%) than in the non-NYT group (-22.0%). The Japanese Kampo medicine NYT might be useful for treating patients with severe COVID-19 in ICU. This study was conducted in a small number of cases, and further large clinical trials are necessary.

Prognostic significance of the postoperative prognostic nutritional index in patients with glioblastoma: a retrospective study

BACKGROUND

The prognostic nutritional index (PNI) reflects immunonutritional status. We evaluated the effects of postoperative PNI and perioperative changes in the PNI on overall survival (OS) in glioblastoma (GBM) patients.

METHODS

Demographic, laboratory, and clinical data were retrospectively collected from 335 GBM patients. Preoperative and postoperative PNIs were calculated from serum albumin concentration and lymphocyte count, which were measured within 3 weeks before surgery and 1 month after surgery. Patients were classified into high (n = 206) or low (n = 129) postoperative PNI groups according to the postoperative PNI cutoff value and further classified into four groups according to the cutoff values of the preoperative and postoperative PNIs, as follows: Group HH (both high PNIs, n = 92), Group HL (high preoperative and low postoperative PNI, n = 70), Group LH (low preoperative and high postoperative PNI, n = 37), and Group LL (both low PNIs, n = 136).

RESULTS

The median OS was significantly longer in the high postoperative PNI (PNI ≥ 50.2) group than the low postoperative PNI (PNI < 50.2) group (24.0 vs. 15.0 months, p <  0.001). In multivariate analysis, high postoperative PNI was a significant predictor of OS. OS was significantly longer in Group HH than in Group LL and seemed longer in Group HH than in Group HL and in Group LH than in Group LL. OS was not different between Groups HH and LH or between Groups HL and LL.

CONCLUSIONS

High postoperative PNI was associated with improved OS and perioperative changes in PNI may provide additional important information for prognostic prediction in GBM patients.

Comparison of neutrophil to lymphocyte ratio and prognostic nutritional index with other clinical and molecular biomarkers for prediction of glioblastoma multiforme outcome

Objective

Pre- and post-operative neutrophil to lymphocyte ratio (NLR) and prognostic nutritional index (PNI) and other prognostic clinicopathological variables were correlated with progression free survival (PFS) and overall survival (OS) of Glioblastoma Multiforme (GBM) patients.

Methods

GBM patients (n = 87, single-centre, recruited 2013–2019) were retrospectively divided into low and high groups using literature-derived cut-offs (NLR = 5.07, PNI = 46.97). Kaplan-Meier survival curves and log rank tests assessed PFS and OS. Univariate and multivariate analyses identified PFS and OS prognosticators.

Results

High vs low post-operative PNI cohort was associated with longer PFS (279 vs 136 days, p = 0.009), but significance was lost on multivariate analysis. Post-operative ECOG (p = 0.043), daily dexamethasone (p = 0.023) and IDH mutation (p = 0.046) were significant on multivariate analysis for PFS. High pre- and post-operative PNI were associated with improved OS (384 vs 114 days, p = 0.034 and 516 vs 245 days, p = 0.001, respectively). Low postoperative NLR correlated with OS (408 vs 249 days, p = 0.029). On multivariate analysis using forward selection process, extent of resection (EOR) (GTR vs biopsy, p = 0.004 and STR vs biopsy, p = 0.011), and any previous surgery (p = 0.014) were independent prognostic biomarkers for OS. On multivariate analysis of these latter variables with literature-derived prognostic biomarkers, EOR remained significantly associated with OS (p = 0.037).

Conclusions

EOR, followed by having any surgery prior to GBM, are the most significant independent predictors of GBM patient’s OS. Post-operative ECOG, daily dexamethasone and IDH mutation are independent prognostic biomarkers for PFS. PNI may be superior to NLR. Post- vs pre-operative serum inflammatory marker levels may be associated with survival.

Blood-Based Biomarkers for Glioma in the Context of Gliomagenesis: A Systematic Review

BACKGROUND

Gliomas are the most common and aggressive tumors of the central nervous system. A robust and widely used blood-based biomarker for glioma has not yet been identified. In recent years, a plethora of new research on blood-based biomarkers for glial tumors has been published. In this review, we question which molecules, including proteins, nucleic acids, circulating cells, and metabolomics, are most promising blood-based biomarkers for glioma diagnosis, prognosis, monitoring and other purposes, and align them to the seminal processes of cancer.

METHODS

The Pubmed and Embase databases were systematically searched. Biomarkers were categorized in the identified biomolecules and biosources. Biomarker characteristics were assessed using the area under the curve (AUC), accuracy, sensitivity and/or specificity values and the degree of statistical significance among the assessed clinical groups was reported.

RESULTS

7,919 references were identified: 3,596 in PubMed and 4,323 in Embase. Following screening of titles, abstracts and availability of full-text, 262 articles were included in the final systematic review. Panels of multiple biomarkers together consistently reached AUCs >0.8 and accuracies >80% for various purposes but especially for diagnostics. The accuracy of single biomarkers, consisting of only one measurement, was far more variable, but single microRNAs and proteins are generally more promising as compared to other biomarker types.

CONCLUSION

Panels of microRNAs and proteins are most promising biomarkers, while single biomarkers such as GFAP, IL-10 and individual miRNAs also hold promise. It is possible that panels are more accurate once these are involved in different, complementary cancer-related molecular pathways, because not all pathways may be dysregulated in cancer patients. As biomarkers seem to be increasingly dysregulated in patients with short survival, higher tumor grades and more pathological tumor types, it can be hypothesized that more pathways are dysregulated as the degree of malignancy of the glial tumor increases. Despite, none of the biomarkers found in the literature search seem to be currently ready for clinical implementation, and most of the studies report only preliminary application of the identified biomarkers. Hence, large-scale validation of currently identified and potential novel biomarkers to show clinical utility is warranted.

The Prognostic Role and Nomogram Establishment of a Novel Prognostic Score Combining with Fibrinogen and Albumin Levels in Patients with WHO Grade II/III Gliomas

Purpose

World Health Organization (WHO) Grades II and III gliomas [also known as low grade gliomas (LGGs)] displayed different malignant behaviors and survival outcomes compared to Grade IV gliomas. This study aimed to identify the prognostic predictive value of a novel cumulative prognostic score [combined with fibrinogen and albumin levels (FA score)], establish and validate a point-based nomogram in LGG patients.

Patients and Methods

A total of 91 patients who underwent total glioma resection at Shengjing Hospital of China Medical University between 2011 and 2013 were enrolled to establish a prognostic nomogram. All patients were histologically diagnosed as grades II/III, and never received radiotherapy or chemotherapy before surgery. Data collection included patient characteristics, clinicopathological factors, and preoperative hematology results. The performance of the nomogram was subsequently validated by the concordance index (c-index), calibration curve, and receiver operating characteristic (ROC) curve.

Results

The FA score was negatively associated with the overall survival (OS) of LGG patients (p < 0.001). The results of multivariate analysis showed that FA score [p = 0.006, HR = 1.92, 95% confidence interval (CI): 1.21–3.05], age (p = 0.002, HR = 3.014, 95% CI:1.52–5.97), and white blood count (p < 0.001, HR = 4.24, 95% CI: 2.08–8.67) were independent prognostic factors for overall survival (OS). The study established a nomogram to predict OS with a c-index of 0.783 (95% CI, 0.72–0.84).

Conclusion

FA score might be a potential prognostic biomarker for LGG patients, and a reliable point-based nomogram will help clinicians to decide on the best treatment plans.

Efficacy of Neoadjuvant Single or Dual Anti-HER-2 Therapy Combined with Chemotherapy in Patients with HER-2-Positive Breast Cancer: A Single-Center Retrospective Study

Background:

Studies have shown that neoadjuvant anti-HER-2 therapy and chemotherapy can increase pathologic complete response (pCR) rate in HER-2-positive breast cancer patients and improve prognosis. However, data from Chinese patients are limited. Therefore, we conducted a single-center retrospective study to evaluate the effects of neoadjuvant single or dual anti-HER-2 therapy and chemotherapy in Chinese HER-2-positive breast cancer patients and to explore the prognostic indicators of pCR and progression-free survival (PFS).

Methods:

We included patients with HER-2-positive breast cancer treated with neoadjuvant anti-HER-2 therapy and chemotherapy at the First Affiliated Hospital of Chongqing Medical University in China from January 2016 to July 2020. We analyzed the relationship between patient characteristics and the pCR rate or PFS.

Results:

Forty-seven patients with HER-2-positive breast cancer receiving neoadjuvant anti-HER-2 therapy and chemotherapy were included. Univariate analysis suggested that compared with patients receiving neoadjuvant single anti-HER-2 therapy, patients receiving neoadjuvant dual anti-HER-2 therapy tended to have a higher pCR rate and better PFS. Patients who achieved pCR also tended to have longer PFS. Multivariate analysis indicated that patients with greater systemic inflammation response index (SIRI) reduction (>0.54) during neoadjuvant treatment (NAT) and patients with a lower T stage were more likely to achieve pCR. Patients aged ≤60 years with lower Ki-67 had longer PFS.

Conclusion:

Greater SIRI reduction during NAT was an independent influencing factor for pCR. Patients receiving neoadjuvant dual anti-HER-2 therapy and chemotherapy tended to have higher pCR rates and longer PFS. Patients who achieved pCR also tended to have longer PFS.

High preoperative albumin-bilirubin score predicts poor survival in patients with newly diagnosed high-grade gliomas

OBJECTIVE

To determine the prognostic value of the preoperative Albumin-bilirubin (ALBI) score in high-grade glioma (HGG) patients.

METHODS

A retrospective study of 194 HGG patients was conducted. ROC analysis was used to determine the optimal cut-off value of ALBI score. Univariate and multivariate analysis was performed to identify prognostic factors associated with progression free survival (PFS) and overall survival (OS). The resulting prognostic models were externally validated by a demographic-matched cohort of 130 HGG patients.

RESULTS

Optimal cutoff value of ALBI score was -2.941. In training set, ALBI was correlated with age (P = 0.001), tumor location (P = 0.012) and adjuvant therapy (P = 0.016). Both PFS (8.27 vs. 18.40 months, P<0.001) and OS (13.93 vs. 27.57 months, P<0.001) were significantly worse in the ALBI-high group. Strikingly, patients in ALBI-low group had 56% decrease in the risk of tumor progression and 57% decrease in the risk of death relative to high ALBI. Multivariate analysis further identified ALBI score as an independent predictor for both PFS (HR=0.47, 95% CI 0.34, 0.66) and OS (HR=0.45, 95% CI 0.32, 0.63). The ALBI score remained independent prognostic value in the validation set for both PFS (P = 0.01) and OS (P = 0.007). Patients with low ALBI score had better PFS and OS in all subgroups by tumor grade and treatment modalities.

CONCLUSIONS

The preoperative ALBI score is a noninvasive and valuable prognostic marker for HGG patients.

Impact of prognostic nutritional index on survival in recurrent glioblastoma

BACKGROUND

Primary brain tumors are relatively rare malignancy, with high-grade gliomas (glioblastoma multiforme and anaplastic gliomas) are the most common types. We aimed to evaluate the prognostic value of Prognostic Nutritional Index (PNI), which is calculated by lymphocyte count and albumin, in recurrent glioblastoma patients treated with systemic treatment.

METHODS

Data of 64 patients with recurrent glioblastoma who received systemic treatment and followed in our clinic between 2012 and 2018 was retrospectively collected and analyzed. PNI was calculated as: [(10×serum albumin (g/dL))+(0.005×total lymphocyte count)]. Patients were categorized according to the median PNI value. We investigated the prognostic role of PNI groups, and survival outcomes.

RESULTS

Median value of PNI was 45.7, and median follow-up duration was 9 months (1-68 months). Median overall survival (OS) was 7.9 months (95%CI: 5.5-10.4). Median OS was significantly longer in patients with PNI>45.7 compared to patients with PNI≤45.7 (13.9 months (95%CI: 10.5-17.4), and 4.6 months (95%CI: 2.5-6.8), p<0.001, respectively). In multivariate analysis, PNI was found to be an independent prognostic factor for OS [HR:0.41 (95%CI:0.22-0.74), p=0.03)].

CONCLUSION

In our study, the PNI was found to be an independent prognostic biomarker in patients with recurrent glioblastoma, but further prospective trials are necessary to validate its prognostic role.

The Prognostic Nutritional Index is associated with mortality of COVID-19 patients in Wuhan, China

BACKGROUND

Declared as pandemic by WHO, the coronavirus disease 2019 (COVID-19) pneumonia has brought great damage to human health. The uncontrollable spread and poor progression of COVID-19 have attracted much attention from all over the world. We designed this study to develop a prognostic nomogram incorporating Prognostic nutritional index (PNI) in COVID-19 patients.

METHODS

Patients confirmed with COVID-19 and treated in Renmin Hospital of Wuhan University from January to February 2020 were included in this study. We used logistic regression analysis to find risk factors of mortality in these patients. A prognostic nomogram was constructed and receiver operating characteristics (ROC) curve was drawn to evaluate the predictive value of PNI and this prognostic model.

RESULTS

Comparison of baseline characteristics showed non-survivors had higher age (P < .001), male ratio (P = .038), neutrophil-to-lymphocyte ratio (NLR) (P < .001), platelet-to-lymphocyte ratio (PLR) (P < .001), and PNI (P < .001) than survivors. In the multivariate logistic regression analysis, independent risk factors of mortality in COVID-19 patients included white blood cell (WBC) (OR 1.285, P = .039), PNI (OR 0.790, P = .029), LDH (OR 1.011, P < .015). These three factors were combined to build the prognostic model. Area under the ROC curve (AUC) of only PNI and the prognostic model was 0.849 (95%Cl 0.811-0.888) and 0.950 (95%Cl 0.922-0.978), respectively. And calibration plot showed good stability of the prognostic model.

CONCLUSION

This research indicates PNI is independently associated with the mortality of COVID-19 patients. Prognostic model incorporating PNI is beneficial for clinicians to evaluate progression and strengthen monitoring for COVID-19 patients.

Pre-operative hematological markers as predictive factors for overall survival and progression free survival in glioblastomas

INTRODUCTION

Several hematological factors, such as neutrophil-to-lymphocyte ratio (NLR), platelet-to-lymphocyte ratio (PLR), prognostic nutrition index (PNI) and albumin-to-globulin ratio (AGR), have been highlighted as systemic worse prognostic parameters for the outcome in gliomas. The aim of this study is to identify some pre-operative routinely blood tests as predictive parameters for the Overall Survival (OS) and Progression Free Survival (PFS) in glioblastoma (GBM).

MATERIALS AND METHODS

From January 2013 to April 2019, 124 patients operated for glioblastoma were analyzed. Data were collected regarding age, sex, Karnofsky performance status (KPS), IDH status, the extent of resection (EOR) and adjuvant therapy. The hematological parameters were collected at admission: neutrophils, lymphocytes and platelets, hemoglobin, lactate dehydrogenase, albumin, NLR, PLR, AGR and PNI. The OS and the PFS were considered as the end-point for the evaluation of the predictive factors.

RESULTS

A pre-operative neutrophil count > 7 × 10⁹/L was a worse prognostic factor for OS and PFS at univariate analysis (p = 0.004 and p = 0.025), as well as hypo-albuminemia. Thrombocytosis, lymphopenia and NLR > 4 were associated to a worse OS, at uni- and multivariate analysis, resulting as poor predictive parameters, independently to EOR, the IDH mutation and the adjuvant therapy.

CONCLUSIONS

Still nowadays there are no sensitive or specific hematological markers which are routinely applied for detecting and monitoring the treatment-response and the prognosis of glioblastoma. In our study, a pre-operative low cost and widely used blood markers, such as NLR, lymphocytes and platelets could be predictable prognostic factors for the Overall Survival of patients affected by glioblastomas.

Prognostic significance of preoperative serum albumin, albumin-to-globulin ratio, and prognostic nutritional index for patients with glioma: A meta-analysis

BACKGROUND

The serum albumin, albumin-to-globulin ratio (AGR), and prognostic nutritional index (PNI) have been recommended to represent the nutritional and inflammatory status. Thus, they may be potential prognostic biomarkers for cancer. However, contradictory results were reported in different studies on glioma. The goal of this study was to perform a meta-analysis to re-evaluate their prognostic potential for glioma.

METHODS

Databases of PubMed, EMBASE, and Cochrane Library were systematically searched to enroll all the studies investigating the prognostic significance of albumin, AGR, and PNI for glioma. Pooled hazard ratios (HRs) and 95% confidence intervals (CIs) were estimated using STATA 13.0 software to indicate the intensity of association.

RESULTS

Eleven studies with 2928 cases were included. Overall meta-analysis showed that the prognostic values of albumin, AGR, and PNI were limited for glioma (P > .05). However, subgroup analysis demonstrated a high preoperative serum albumin was significantly related with excellent OS of patients with GBM (HR = 0.95, 95% CI: 0.91-0.99, P = .018), while high PNI (HR = 0.56, 95% CI: 0.43-0.73, P < .001) and AGR (HR = 0.57, 95% CI: 0.34-0.96, P = .034) may be a protective factor of favorable OS for patients with high-grade gliomas. Furthermore, integration of all studies with multivariate analysis and clear cut-off also proved reduced preoperative serum albumin, AGR, and PNI were predictors of poor prognosis for patients with gliomas.

CONCLUSION

Preoperative serum albumin, AGR, and PNI may represent promising biomarkers to predict the prognosis in patients with glioma, especially for high-grade.

The Clinical Significance of Soluble Programmed Cell Death-Ligand 1 (sPD-L1) in Patients With Gliomas

Background: Soluble PD-L1 (sPD-L1) in the circulation has been documented to activate global immunosuppression and is considered a predictor of negative clinical outcomes in several malignances. However, the clinical significance of sPD-L1 in the peripheral blood and cerebrospinal fluid (CSF) of patients with glioma remains unclear.

Objective: The aim of this study was to detect the correlations of sPD-L1 with clinical features in brain tumors and assess the diagnostic value of this protein in gliomas.

Methods: Serum samples were obtained from 73 patients with glioma, 20 patients with meningioma, and 49 healthy controls (HCs) in this study. In total, 31 CSF samples were collected from the matched glioma patients, and seven samples were collected from the matched meningioma patients. The expression of serum sPD-L1 in the glioma cohort was followed for 20 days after surgery to examine the kinetics in the circulation. Inflammatory markers were evaluated based on preoperative blood parameters. The sPD-L1 levels in the serum and CSF were determined by enzyme-linked immunosorbent assay (ELISA). The logistic regression model was used to assess the independent associations of sPD-L1 with gliomas, including high-grade gliomas.

Results: Serum and CSF levels of sPD-L1 were significantly elevated in patients with gliomas compared to those with meningiomas and HCs. Additionally, increased levels of sPD-L1 were observed in relatively advanced tumors. sPD-L1 overexpression in the CSF appears to be more representative of aggressive tumor features than overexpression in the serum. For glioma diagnosis, both serum and CSF sPD-L1 showed significant value in the diagnosis and stratification of glioma, and the best diagnostic performance was obtained with serum sPD-L1 rather than blood-based inflammatory markers. In addition, a descending trend in the level of serum sPD-L1 was observed in postoperative patients.

Conclusion: In gliomas, elevated circulating and CSF sPD-L1 levels are associated with aggressive biological activities. The results of the current study suggest that sPD-L1 is a promising biomarker for gliomas that can be used in clinical practice.

Pretreatment neutrophil-to-lymphocyte ratio plus albumin-to-gamma-glutamyl transferase ratio predict the diagnosis of grade III glioma

Background

The present study explored the predictive value of systemic inflammatory indexes in diagnosing grade III gliomas of oligodendroglial origin.

Methods

A retrospective study of 154 patients with grade III gliomas was conducted. Systemic inflammatory indexes, including neutrophil-to-lymphocyte ratio (NLR), albumin-to-gamma-glutamyl transferase ratio (AGR), platelet-to-lymphocyte ratio, lymphocyte-to-monocyte ratio, prognostic nutritional index, and fibrinogen-to-albumin ratio, were reviewed. The resulting predictive model was externally validated using a demographic-matched cohort of 49 grade III glioma patients.

Results

In the training set, gliomas of oligodendroglial origin tended to have a lower NLR (P=0.018) and a higher AGR (P=0.036) than those with tumors of astrocytic origin. Moreover, both NLR and AGR had predictive value for oligodendroglial tumors, when compared with astrocytic tumors. The best diagnostic value was obtained using NLR + AGR (AUC =64.9%, 95% CI: 55.5-74.3%, P=0.005). In the validation set, NLR + AGR satisfactorily predicted the presence of oligodendroglial tumors (AUC =66.5%, 95% CI: 50.6-82.4%, P<0.05) and co-deletion of 1p/19q (AUC =73.7%, 95% CI: 59.2-88.1%, P=0.005). Multivariate analysis further demonstrated NLR + AGR as an independent predictor for overall survival.

Conclusions

Pretreatment NLR and AGR aid in prognosis and diagnosing grade III oligodendroglial gliomas.

Prognostic Significance of Preoperative Systemic Cellular Inflammatory Markers in Gliomas: A Systematic Review and Meta-Analysis

Glioma is the most common malignant brain tumor and has high lethality. This tumor generated a robust inflammatory response that results in the deterioration of the disease. However, the prognostic role of systemic cellular inflammatory indicators in gliomas remains controversial. This meta‐analysis aimed to assess the prognostic significance of preoperative neutrophil/lymphocyte ratio (NLR), platelet/lymphocyte ratio (PLR), lymphocyte/monocyte ratio (LMR), red cell distribution width (RDW), and prognostic nutritional index (PNI) in patients with gliomas. Databases of PubMed, EMBASE, Web of Science, and The Cochrane Library were systematically searched for all studies published up to January 2019. Study screening and data extraction followed established Preferred Reporting Items for Systematic Reviews and Meta‐Analyses guidelines. The Newcastle–Ottawa Scale was used to assess the quality of studies. Eighteen studies containing 3,261 patients were included. The analyses showed an increased NLR or RDW was found to be an independent predictor of worse survival in patients with gliomas (hazard ratio (HR): 1.38; 95% confidence interval (CI): 1.09–1.74; P = 0.008; and HR: 1.40; 95% CI: 1.13–1.74; P = 0.002, respectively). Furthermore, a higher PNI indicates a better overall survival (OS; HR: 0.57; 95% CI: 0.42–0.77; P = 0.0002). For the evaluation of PLR and LMR, none of these variables correlated with OS (P = 0.91 and P = 0.21, respectively). Our meta‐analysis indicates the NLR, RDW, and PNI rather than PLR and LMR are the independent index for predicting the OS of gliomas. Pre‐operative NLR, RDW, and PNI can help to evaluate disease progression, optimize treatment, and follow‐up in patients with gliomas.

The prognostic role of preoperative systemic immune-inflammation index and albumin/globulin ratio in patients with newly diagnosed high-grade glioma

OBJECTIVE

Preoperative systemic immune-inflammation index (SII) and the albumin/globulin ratio (AGR) have been used as prognostic markers in many malignancies. This study was conducted to evaluate the clinical significance of the preoperative SII and AGR in high-grade glioma (HGG) patients.

PATIENTS AND METHODS

A total of 169 patients with newly diagnosed HGG were enrolled in the current study. Overall survival (OS) of these patients was estimated by Kaplan-Meier analyses. Univariate and multivariate Cox regression analyses were performed to examine the relationships between OS and prognostic variables in patients with HGG.

RESULTS

The cut-off values for SII and AGR were 324.38 × 10⁹/L and 1.35, respectively. An inverse correlation was observed between SII and AGR. The Kaplan-Meier survival analyses demonstrated that high SII and low AGR were associated with poor OS of patients with HGG (P = 0.002 and P = 0.012, respectively). Multivariate analyses revealed that both SII (HR 1.641, 95% CI: 1.071-2.515; P = 0.023) and AGR (HR 0.566, 95% CI: 0.335-0.956; P = 0.033) were independent predictive indicators of OS of HGG patients.

CONCLUSIONS

In conclusion, this study demonstrated that high SII and low AGR values may serve as promising prognostic markers to identify HGG patients with poor prognosis.

The mediating role of extent of resection in the relationship between the tumor characteristics and survival outcome of glioma

The prognostic value of tumor characteristics for glioma has been controversial, partly because of a lack of knowledge about how these associations develop. Extent of resection may be factors that mediate the relationship between tumor characteristics and the hazard of death from glioma.

Patients and Methods: This consecutive study retrospectively included a group of 393 treatment-naive patients with newly, pathologically confirmed glioma between January 2004 and December 2014. Information on patient age, gender, Karnofsky Performance Status (KPS), tumor grade, tumor size, tumor location, presence or absence of contrast enhancement on MRI and extent of tumor resection have all been collected. The discrete-time survival model integrating survival outcomes within structural equation models was employed to develop and evaluate a comprehensive hypothesis regarding the direct and indirect impact of tumor characteristics on the hazard of death from glioma, mediated by the extent of resection.

Results: Except for tumor location, the indirect effects of tumor grade, contrast enhancement, and tumor size on PFS of glioma through extent of resection were found significant in the model.

Conclusion: This study provides a better understanding of the process through which tumor characteristics is associated with hazard of death from glioma.

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.

Preoperative Prognostic Nutritional Index Predicts Long-Term Surgical Outcomes in Patients with Esophageal Squamous Cell Carcinoma

Background

The purpose of the present study is to investigate the utility of prognostic nutritional index (PNI) as a simple and readily available marker in esophageal squamous cell carcinoma (ESCC).

Methods

We retrospectively analyzed 169 patients who underwent potentially curative esophagectomy, for histologically verified ESCC. We decided to set the optimal cutoff value for preoperative PNI levels at 49.2, based on the cancer-specific survival (CSS) and the overall survival (OS) by receiver operating characteristic curve analysis.

Results

Multivariate logistic regression analysis identified that TNM pStage III [hazard ratio (HR) 3.261, p < 0.0001] and PNI < 49.2 (HR 3.887, p < 0.0001) were confirmed as independent poor predictive factors for CSS, and age >70 (HR 2.024, p < 0.0042), TNM pStage III (HR 2.510, p = 0.0002), and PNI < 49.2 (HR 2.248, p = 0.0013) were confirmed as independent poor predictive factors for OS. In non-elderly patients, TNM pStage III (CSS; HR 3.488, p < 0.0001, OS; HR 2.615, p = 0.0007) and PNI < 49.2 (CSS; HR 3.849, p < 0.0001, OS; HR 2.275, p = 0.001) were confirmed as independent poor predictive factors for CSS, and OS when multivariate logistic regression analysis was applied. But in elderly patients, univariate analyses demonstrated that the TNM pStage III was the only significant risk factor for CSS (HR 3.701, p = 0.0057) and OS (HR 1.974, p = 0.0224).

Conclusions

The PNI was a significant and independent predictor of CSS and OS of ESCC patients after curative esophagectomy. The PNI was cost-effective and readily available, and it could act as a marker of survival.

Preoperative Changes in Hematological Markers and Predictors of Glioma Grade and Survival

Background: Preoperative hematological markers that indicate nutritional, coagulation, and inflammation statuses have prognostic value for gliomas. This study aimed to investigate hematological markers with regard to tumor grades, isocitrate dehydrogenase mutations (IDH), age, and sex in patients with gliomas. Methods: From 2008 to 2017, patients with a pathological diagnosis of glioma who underwent surgery were retrospectively enrolled in this study. Information from clinical records, including age, sex, preoperative experiment tests (routine blood tests, biochemistry, and coagulation examinations), pathological results, and IDH status, was collected. A univariable survival analysis was performed. Hematological factors such as the neutrophil-to-lymphocyte ratio (NLR), platelet-to-lymphocyte-ratio (PLR), and albumin-to-globulin (AGR) were calculated. The prognostic nutrition index (PNI) was calculated as 10 × serum albumin value (g/dl) + 0.005 × peripheral lymphocyte count (per mm³). Results: Our study included 706 patients. The univariate analysis showed that age, IDH-1, and hematological factors were all significantly associated with overall survival (OS) in patients with gliomas. Our results showed that inflammation markers (NLR, PLR, and fibrinogen) were positively associated with age, whereas AGR was negatively associated with age. The PLR was significantly increased, whereas the AGR and PNI were decreased in women with gliomas, as compared with men. We found that inflammation markers increased and nutrition markers decreased with gliomas grade. However, these hematological markers did not significantly differ with IDH status. NLR was the best single hematological marker for distinguishing glioblastoma (GBM) [0.684 (0.645-0.723)], IDH-wt GBM [0.672 (0.631-0.71)] from other gliomas subtypes. Combinations of age with PNI and age with AGR were the best predictors of GBM [0.750 (0.713-0.786)] and IDH-wt GBM [0.759 (0.719-0.798)], respectively. Conclusion: Preoperative hematological marker levels vary among glioma grades and have high predictive values for GBM.

Evaluation of cumulative prognostic score based on pretreatment plasma fibrinogen and serum albumin levels in patients with newly diagnosed high-grade gliomas

This retrospective study was designed to determine the prognostic value of a cumulative score (FA score) based on pretreatment plasma fibrinogen and serum albumin levels for 326 patients newly diagnosed high-grade glioma (HGG). Receiver operating characteristic (ROC) curve analysis was performed to determine the optimal cut-off values. Univariate and multivariate analysis were performed to evaluate the independent prognostic value of the FA scores associated with overall survival (OS) and progression-free survival (PFS). The optimal cut-off values were 2.815 g/L for fibrinogen and 43.65 g/L for albumin. PFS and OS were significantly worse for patients with higher FA scores. Patients with elevated fibrinogen level and decreased albumin levels had 3.00-fold higher risk of tumor progression and had a 3.23-fold higher risk of death compared with those with normal values. Multivariate analysis demonstrated FA score was an independent predictive factor for PFS and OS. Moreover, PFS and OS were better for the patients with lower FA score, either in patients with grade III or IV gliomas. These findings indicated that the pretreatment FA score could serve as a simple and noninvasive marker to predict the prognosis of patients with HGG.