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

Predictive value of the prognostic nutritional index in advanced non-small cell lung cancer patients treated with immune checkpoint inhibitors: A systematic review and meta-analysis

Purpose

The prognostic nutritional index (PNI), which is derived from the albumin concentration and absolute lymphocyte number, is an effective indicator of cancer patients' nutritional and immunological status. According to multiple studies, PNI was strongly linked to the prognosis of patients with non-small cell lung cancer (NSCLC). The predictive value of PNI for survival outcomes in NSCLC patients receiving immune checkpoint inhibitors (ICIs) is still in dispute at present. This meta-analysis is devoted to fill this information gap and investigate the predictive ability of PNI in NSCLC patients treated with ICIs.

Methods

The PubMed, Embase, Cochrane Library databases, and conference proceedings were searched for eligible studies without language restriction. Overall survival (OS) and progression-free survival (PFS) were included. The predictive value of PNI was estimated using hazard ratios and their 95% confidence intervals.

Results

Thirteen relevant retrospective cohort studies were included and these studies included 1119 patients with stage III-IV NSCLC. Lower PNI status was found to be an independent risk factor for worse survival outcomes in patients with NSCLC (OS HR = 2.68; 95%CI: 1.76-4.06; P < 0.0001; PFS HR = 1.84; 95%CI: 1.39-2.42; P < 0.0001). According to the subgroup analysis, PNI was similarly connected to OS in most subgroups of NSCLC patients receiving ICIs, except for those receiving chemoimmunotherapy or first-line treatment, and those with a cut-off value < 45.

Conclusion

Our findings indicated that lower PNI was associated with poorer prognosis in NSCLC patients undergoing ICI therapy. Further prospective research with bigger patient groups is required.

Systematic Review Registration

International Prospective Register of Systematic Reviews (PROSPERO), identifier CRD42022327528.

Predictive value of prognostic nutritional and systemic immune-inflammation indices for patients with microsatellite instability-high metastatic colorectal cancer receiving immunotherapy

Background

The prognostic nutritional index (PNI) and systemic immune-inflammation index (SII) are indicators of nutritional immune status. They have been reported associated with clinical outcomes of various solid tumors. However, it is unclear whether they can serve as predictors for patients with microsatellite instability-high (MSI-H) metastatic colorectal cancer (mCRC) receiving immunotherapy. Our objective was to study the prognostic value of PNI and SII in these patients.

Methods

Seventy-five MSI-H mCRC patients were enrolled in our study. Logistic regression analysis was used to identify features that influenced immunotherapy response. Survival differences between groups of mCRC patients were compared using the Kaplan-Meier method and log-rank test. The independent risk parameters for progression-free survival (PFS) and overall survival (OS) of patients with MSI-H mCRC were established by Cox proportional risk regression analysis.

Results

The optimal SII and PNI cutoff values were 409.6 and 51.35. Higher PNI (p = 0.012) and lower high-density lipoprotein cholesterol (HDLC, p = 0.012) were associated with a better immunotherapy response. SII (p = 0.031), cholesterol (CHO) (p = 0.007) and aspartate aminotransferase (AST) (p = 0.031) were independent prognostic factors correlated with OS. Higher PNI (p = 0.012) and lower AST (p = 0.049) were negative predictors of PFS. In addition, patients suffered from immune-related adverse events (irAEs) had a lower SII level (p = 0.04).

Conclusion

Higher AST and SII, and lower PNI predict worse outcomes in MSI-H mCRC patients undergoing immunotherapy. Moreover, patients with lower SII before immunotherapy suffered from irAEs more often.

Prognostic nutritional index for predicting the clinical outcomes of patients with gastric cancer who received immune checkpoint inhibitors

OBJECTIVE

Although the application of immunotherapy in gastric cancer has achieved satisfactory clinical effects, many patients have no response. The aim of this retrospective study is to investigate the predictive ability of the prognostic nutrition index (PNI) to the prognosis of patients with gastric cancer who received immune checkpoint inhibitors (ICIs).

MATERIALS AND METHODS

Participants were 146 gastric cancer patients with ICIs (PD-1/PD-L1 inhibitors) or chemotherapy. All patients were divided into a low PNI group and a high PNI group based on the cut-off evaluated by the receiver operating characteristic (ROC) curve. We contrasted the difference in progression-free survival (PFS) and overall survival (OS) in two groups while calculating the prognosis factors for PFS and OS by univariate and multivariate analyses. Moreover, the nomogram based on the results of the multivariate analysis was constructed to estimate the 1- and 3-year survival probabilities.

RESULTS

There were 41 (28.1%) cases in the low PNI group and 105 (71.9%) cases in the high PNI group. The median survival time for PFS in the low PNI group and high PNI group was 12.30 months vs. 33.07 months, and 18.57 months vs. not reached in the two groups for OS. Patients in low PNI group were associated with shorter PFS and OS in all patients [Hazard ratio (HR) = 1.913, p = 0.013 and HR = 2.332, p = 0.001]. Additionally, in subgroup analysis, low PNI group cases also had poorer PFS and OS, especially in patients with ICIs. In addition, the multivariate analysis found that carbohydrate antigen 724 (CA724) and TNM stage were independent prognostic factors for PFS. At the same time, indirect bilirubin (IDBIL), CA724, PNI, and TNM stage were independent prognostic factors for OS.

CONCLUSION

Prognostic nutrition index was an accurate inflammatory and nutritional marker, which could predict the prognosis of patients with gastric cancer who received ICIs. PNI could be used as a biomarker for ICIs to identify patients with gastric cancer who might be sensitive to ICIs.

A comparison of three preoperative nutritional assessment methods for predicting ovarian cancer patient prognosis: which is better?

BACKGROUND

The study aimed to compare the predictive values of three widely used nutritional assessment methods, body mass index (BMI), Nutritional Risk Screening 2002 (NRS 2002), and the prognostic nutritional index (PNI), for different clinical prognostic indicators of ovarian cancer patients.

METHODS

Patients diagnosed with ovarian cancer treated in our hospital between January 2017 and March 2019 were retrospectively included. The three nutritional assessment methods were assessed, and multivariable analysis was conducted to explore predictive factors for clinical prognoses. Receiver operating characteristic (ROC) curves and the area under the ROC curve (AUROC) were generated to evaluate the discriminative abilities of the three nutritional assessment tools.

RESULTS

A total of 442 patients were recruited. Multivariable analysis revealed that the PNI value predicted 1-year death and 1-year recurrence and that both the NRS 2002 score and the PNI value predicted 30-day readmission (P < 0.05). For PNI, AUROCs were 0.834 for predicting 1-year death and 0.719 for 1-year recurrence prediction; for NRS, the AUROC was 0.820 2002 for predicting 30-day readmission. The optimal cutoff values that maximized the prognostic prediction ability were PNI values of 47.75 g/L and 50.40 g/L for 1-year death and 1-year recurrence, respectively, and an NRS 2002 score of 3 points for 30-day readmission following discharge.

CONCLUSION

For ovarian cancer patients, the PNI is better at predicting 1-year death and 30-day readmission after discharge, and the NRS 2002 is superior for predicting 1-year recurrence.

Prognostic value of prognostic nutritional index and its variations in advanced non-small-cell lung cancer patients treated with anlotinib monotherapy

Background

Anlotinib is a third‐line or further therapy for advanced non‐small‐cell lung cancer (NSCLC). However, the lack of simple biomarkers to predict the curative effect of anlotinib creates significant unmet needs in exploring the markers. This study aimed to explore the relationship between the prognostic nutritional index (PNI) and its variations and efficacy of anlotinib.

Methods

Data for patients with advanced NSCLC who received anlotinib were collected at Ningbo Medical Center Lihuili Hospital. The data included the values of pretreatment PNI (pre‐PNI), posttreatment PNI (post‐PNI), and ΔPNI (post‐PNI minus the pre‐PNI). The Kaplan–Meier method was used to generate survival curves, whereas univariate and multivariate Cox regression analyses were used to analyze survival predictors.

Results

A high disease control rate was associated with a high pre‐PNI (p = 0.007), high post‐PNI (p = 0.000), and high ΔPNI (p = 0.006). Univariable analysis revealed that pre‐PNI ≤41.80, post‐PNI ≤42.48, and ΔPNI ≤0.20 were significant risk factors for poor survival. According to the multivariate analysis, progression‐free survival (PFS) in patients with post‐PNI ≤42.48 was significantly shorter than in patients with higher values (median PFS: 1.5 months vs. 4.0 months, p = 0.010).

Conclusions

Pre‐PNI, ΔPNI, and post‐PNI were found to be predictive factors for response in advanced NSCLC patients treated with anlotinib as a third‐line or further treatment. Only post‐PNI was a reliable predictor of PFS. Therefore, PNI and its variations, particularly post‐PNI, are affordable and accessible predictors of NSCLC patients treated with anlotinib in clinical work.

Prognostic factors of patients with advanced lung cancer treated with anlotinib: a retrospective cohort study

Objective

Our study aimed to evaluate the main factors affecting the efficacy of anlotinib to determine the therapeutically dominant populations.

Methods

The medical records of patients with lung cancer who were treated with anlotinib from July 2018 to February 2020 at Renji Hospital, School of Medicine, Shanghai Jiaotong University were retrospectively reviewed. The optimal cutoff prognostic nutritional index (PNI) value for predicting efficacy was determined according to receiver operating characteristic curves. Progression-free survival (PFS) and overall survival (OS) were calculated and compared using the Kaplan–Meier method and log‐rank test. The prognostic values of each variable were evaluated with univariate and multivariate Cox proportional hazard regression analyses.

Results

The overall disease control rate of 44 patients with lung cancer was 93.2% (41/44). The median PFS was 5.0 months (95% [confidence interval] CI: 2.2–7.8), and the median OS was 6.5 months (95% CI: 3.6–9.3). The multivariate analysis results indicated that hand–foot syndrome and high PNI values were independent protective factors of PFS and OS.

Conclusions

Anlotinib was effective in treating locally advanced or advanced lung cancer. High pretreatment PNI scores and the presence of hand–foot syndrome after treatment were independent prognostic markers for favorable OS and PFS.

Prognostic value of inflammatory and nutritional markers for hepatocellular carcinoma

Many clinical studies have demonstrated that the neutrophil to lymphocyte ratio (NLR), platelet to lymphocyte ratio (PLR), and Onodera's prognostic nutritional index (OPNI) are visibly involved in the prognosis of a variety of tumors. In our research, we aim to determin the prognostic impact of NLR, PLR, and OPNI for hepatocellular carcinoma (HCC).Data of hepatocellular carcinoma patients undergoing treatment in Changzhi People's Hospital between 2011 and 2017 were reviewed. 270 patients with HCC were under inclusion criteria. The optimal cut-off points of OPNI, NLR and PLR were determined by using the X-tile program. The overall survival (OS) was analyzed by Kaplan-Meier method. Multivariate analysis was performed using Cox Proportional Hazard Regression model to determine independent prognostic indicators for HCC.As revealed by Univariate and multivariate analysis, OPNI, Treatment, PLR, and BCLC Stage can be used as independent prognostic indicators for HCC. Comparing the P values and hazard ratios, we found out that the OPNI has greatest influence on prognosis in these indexes. The appropriate cut-off points of NLR, PLR, and OPNI were 2.5, 133.3, and 39.5, respectively. High score OPNI group had a better OS. In the analysis between OPNI and clinicopathological characteristics, there were differences in treatment, postoperative therapy, AST, ALBI grade, NLR and PLR between the high OPNI group and the low OPNI group, while others did not.OPNI is a straightforward and effective independent prognostic indicator for HCC.

Prognostic Nutritional Index identifies risk of early progression and survival outcomes in Advanced Non-small Cell Lung Cancer patients treated with PD-1 inhibitors

Background: The prognostic nutritional index (PNI) is related to the prognosis of multiple malignancies. This study investigated whether the PNI has prognostic value in advanced non-small cell lung cancer (NSCLC) patients treated with programmed death 1 (PD-1) inhibitors.

Methods: We retrospectively analyzed advanced NSCLC patients treated with PD-1 inhibitors from July 2018 to December 2019. Pretreatment PNI was calculated by peripheral lymphocyte count and serum albumin level, and the cut-off value was determined. Subsequently, we investigated the relationship between PNI and early progression, and evaluated its prognostic role on survival outcomes. Ultimately, based on the results of survival analysis, a nomogram was established.

Results: A total of 123 patients were included. Of these, 24 (19.5%) patients had experienced early progression. Multivariate logistic analysis indicated that low PNI (odds ratio, 3.709, 95% confidence interval [CI], 1.354-10.161; P = 0.011) was closely correlated with early progression. Moreover, multivariate Cox regression analysis confirmed that low PNI was an independent risk factor for progression-free survival (hazard ratio [HR], 2.698, 95% CI, 1.752-4.153; P < 0.001) and overall survival (HR, 7.222, 95% CI, 4.081-12.781; P < 0.001), respectively. The prediction accuracy of nomogram based on PNI is moderate.

Conclusion: PNI was an independent predictor of early progression and survival outcomes in advanced NSCLC patients treated with PD-1 inhibitors.

Impact of body composition, nutritional and inflammatory status on outcome of non-small cell lung cancer patients treated with immunotherapy

BACKGROUND AND AIMS

Body composition and balance of nutritional and inflammatory status are important for the immune system. Alterations of these aspects may impact on response, outcome and toxicities of immunotherapy. In this review we try to clarify some definitions and tools used for the assessment of the different aspects of nutritional disorders, body composition and inflammatory status with a focus on lung cancer.

METHODS

We primary investigate the definitions of malnutrition, cachexia, sarcopenia and overweight. Secondary, tools used to measure body composition, nutritional and inflammatory status, mainly in lung cancer are reviewed.

RESULTS

All these features, in the time of precision medicine may improve assessment and selection of patients, incorporating also early palliative care in standard therapy.

CONCLUSIONS

A multimodal approach based on nutrition assessment and physical exercise should be evaluated to improve aspects of the immune response against cancer and to propose the best treatment to every patient.

Does the Waiting Period for Genetic Tests Affect the Prognosis in Chemotherapy-Treated de novo Metastatic Non-Small Cell Lung Cancer Patients without a Driver Mutation?

INTRODUCTION

The length of the necessary waiting period to test driver mutations may generate anxiety in patients and clinicians. For this reason, an investigation was conducted to determine whether the duration between diagnosis and the start of first-line chemotherapy (DDC) in non-small cell lung cancer (NSCLC) patients without driver mutations has an impact on prognosis.

METHODS

The study included 303 de novo metastatic NSCLC patients without a driver mutation and patients were divided into 2 groups according to DDC: ≤30 days (group A) or >30 days (group B). The determinant factors for progression-free survival (PFS) and overall survival (OS) were examined by Cox regression analysis.

RESULTS

The mean DDC was calculated as 38.2 ± 54.5 days. The number of patients in group A and B were 183 and 120, respectively. The median PFS in groups A and B was 5.0 and 6.0 months (p = 0.268) and the median OS was 10.0 and 11 months, respectively (p = 0.341). Univariate and multivariate analyses revealed that DDC was not a factor associated with PFS and OS.

CONCLUSION

Our results show that a higher DDC was not associated with a worse prognosis in metastatic NSCLC patients without driver mutations. In this context, it is safer for patients and their physicians to wait for test results before starting chemotherapy.

Prognostic impact of preoperative immunonutritional status in rectal mucinous adenocarcinoma

Aim: To explore the impact of preoperative the albumin-to-globulin ratio (AGR) and the prognostic nutritional index (PNI) on prognosis in rectal mucinous adenocarcinoma (MAC). Methods: A total of 128 patients were included. Results: According to the X-tile analysis, cutoff values of AGR and PNI were 1.1 and 43.8. Preoperative AGR (p = 0.041), preoperative PNI (p = 0.036) and pTNM stage (p = 0.003) were independently associated with overall survival in rectal MAC patients. Distance from the anal verge (p = 0.005), preoperative AGR (p = 0.021), preoperative PNI (p = 0.007) and pTNM stage (p < 0.001) were significantly associated with disease-free survival in rectal MAC patients. Nomograms for overall survival and disease-free survival were developed (C-index: 0.739 and 0.764). Conclusion: Preoperative AGR and PNI can act as effective predictors for survival for rectal MAC patients.