Prognostic role of the platelet to lymphocyte ratio (PLR) in the clinical outcomes of patients with advanced lung cancer receiving immunotherapy: A systematic review and meta-analysis

Prognostic Biomarkers of Systemic Inflammation in Non-Small Cell Lung Cancer: A Narrative Review of Challenges and Opportunities

Non-small cell lung cancer (NSCLC) is a common malignancy and is associated with poor survival outcomes. Biomarkers of systemic inflammation derived from blood tests collected as part of routine clinical care offer prognostic information for patients with NSCLC that may assist clinical decision making. They are an attractive tool, as they are inexpensive, easily measured, and reproducible in a variety of healthcare settings. Despite the wealth of evidence available to support them, these inflammatory biomarkers are not yet routinely used in clinical practice. In this narrative review, the key inflammatory indices reported in the literature and their prognostic significance in NSCLC are described. Key challenges limiting their clinical application are highlighted, including the need to define the optimal biomarker of systemic inflammation, a lack of understanding of the systemic inflammatory landscape of NSCLC as a heterogenous disease, and the lack of clinical relevance in reported outcomes. These challenges may be overcome with standardised recording and reporting of inflammatory biomarkers, clinicopathological factors, and survival outcomes. This will require a collaborative approach, to which this field of research lends itself. This work may be aided by the rise of data-driven research, including the potential to utilise modern electronic patient records and advanced data-analysis techniques.

Prognostic value of peripheral blood neutrophil/lymphocyte ratio, platelet/lymphocyte ratio, pan-immune-inflammation value and systemic immune-inflammation index for the efficacy of immunotherapy in patients with advanced gastric cancer

Aim: The study aimed to assess the value of pretreatment peripheral blood neutrophil/lymphocyte ratio (NLR), platelet/lymphocyte ratio (PLR), pan-immune-inflammation value (PIV) and systemic immune-inflammation index (SII) for predicting immunotherapy prognosis and efficacy in advanced gastric cancer (GC). Methods: A total of 84 advanced GC patients received immunotherapy were retrospectively collected. The optimal cut-off values were determined by receiver operating characteristic curves. The univariate and multivariate analysis investigated the effects of NLR, PLR, PIV and SII on patients prognosis. Results: NLR, PLR, PIV and SII had predictive value of efficacy. NLR ≥3.65 was an independent risk factor for worse outcomes. Conclusion: NLR, PLR, PIV and SII have predictive value of efficacy and NLR ≥3.65 suggests a poor prognosis following immunotherapy in advanced GC.

Predictive Value of NLR and PLR in Driver-Gene-Negative Advanced Non-Small Cell Lung Cancer Treated with PD-1/PD-L1 Inhibitors: A Single Institutional Cohort Study

OBJECTIVE

To investigate the predictive value of neutrophil-to-lymphocyte ratio (NLR) and platelet-to-lymphocyte ratio (PLR) for the efficacy and prognosis of programmed cell death-1 (PD-1)/programmed cell death-ligand 1 (PD-L1) inhibitors in driver-gene-negative advanced non-small-cell lung cancer (NSCLC).

METHODS

A retrospective analysis of 107 advanced NSCLC patients without gene mutations who received PD-1/PD-L1 inhibitors in our hospital from January 2020 to June 2022 was performed. NLR and PLR were collected before PD-1/PD-L1 inhibitors, the optimal cut-off values of NLR and PLR were determined according to the receiver operating characteristic (ROC) curve, and the effects of NLR and PLR on the efficacy of PD-1/PD-L1 inhibitors in advanced NSCLC patients were analyzed.

RESULTS

A total of 107 patients were included in this study. Receiver operating characteristic analysis showed that the optimal cut-off values of NLR and PLR were 3.825, 179, respectively. Kaplan-Meier curve showed that low baseline levels NLR and PLR were associated with an improvement in both progression-free survival (PFS) (P < .001, < .001, respectively) and overall survival (OS) (P = .009, .006, respectively). In first-line treatment and non-first-line treatment, low baseline levels NLR and PLR were associated with an improvement in PFS. In multivariate analysis, low baseline NLR and PLR showed a strong association with both better PFS (P = .011, .027, respectively) and longer OS (P = .042, .039, respectively).

CONCLUSION

Low baseline NLR and PLR levels are significantly associated with better response in advanced NSCLC patients treated with PD-1/PD-L1 inhibitors, which may be indicators to predict the efficacy of immunotherapy in advanced NSCLC with driver-gene-negative.

Combination of the platelet-to-lymphocyte ratio and fibrinogen may predict 5-year overall survival of patient in non-small cell lung cancer treated with surgery

Background

Non-small cell lung cancer (NSCLC) is a major type of lung cancer with high incidence and mortality. Systemic inflammatory response (SIR) and an imbalance of the coagulation system are both associated with the tumor progression. However, few studies have investigated the prognostic utility of a combination of inflammation and the coagulation system in NSCLC. The combination of platelet-to-lymphocyte ratio (PLR) and fibrinogen (FIB) (PLR-FIB; defined as PLR × FIB) is an indicator reflecting SIR and coagulation concurrently, which have potentiality to predict prognosis of NSCLC.

Methods

This retrospective, single-center study included 314 NSCLC patients with surgery. According to a cutoff value for the PLR-FIB, we divided participants into a low-PLR-FIB group and a high-PLR-FIB group. We retrospectively collected the data on 314 patients and used univariate and multivariate analyses to investigate the relationship between the PLR-FIB and survival.

Results

Univariate analysis showed that adenosquamous carcinoma (ASC) (P=0.002), high PLR-FIB (P=0.023), and tumor-node-metastasis (TNM) stage III-IV (P<0.001) were associated with a poor outcome. On multivariate analysis, low PLR-FIB [hazard ratio (HR), 0.587; 95% confidence interval (CI): 0.359-0.985; P=0.044], and TNM stage I-II (HR, 0.380; 95% CI: 0.245-0.590; P<0.001) were independent factors of a better prognosis. ASC type was an independent prognostic factor of poor outcome (HR, 5.513; 95% CI: 1.895-16.034; P=0.002). There were no significant differences in patient demographics or clinical characteristics between the two PLR-FIB groups (P>0.05). The 5-year overall survival (OS) rates were 80.8% and 67.9% for the low-PLR-FIB group and high-PLR-FIB group, respectively (P=0.02).

Conclusions

Preoperative PLR-FIB was found to be an independent prognostic factor for 5-year overall survival in patients with NSCLC treated with surgery.

Blood-Based Biomarker Analysis for Predicting Efficacy of Chemoradiotherapy and Durvalumab in Patients with Unresectable Stage III Non-Small Cell Lung Cancer

We recruited 50 patients with unresectable stage III NSCLC who received CCRT between March 2020 and March 2021. Durvalumab consolidation (DC) was administered to patients (n = 23) without progression after CCRT and programmed death-ligand 1 (PD-L1) ≥ 1%. Blood samples were collected before (C0) and after CCRT (C1) to calculate PBC counts and analyze CTCs. CTCs, isolated by the CD-PRIME^TM system, exhibited EpCAM/CK+/CD45- phenotype in BioViewCCBS^TM. At median follow-up of 27.4 months, patients with residual CTC clusters at C1 had worse median PFS than those without a detectable CTC cluster (11.0 vs. 27.8 months, p = 0.032), and this trend was noted only in the DC group (p = 0.034). Patients with high platelets at C1 (PLT^hi, >252 × 10³/µL) had worse median PFS than those with low platelets (PLT^lo) (5.9 vs. 17.1 months, p < 0.001). In multivariable analysis, PLT^hi and residual CTC clusters at C1 were independent risk factors for PFS, and DC group with PLT^hi and residual CTC clusters at C1 showed the worst median PFS (2.6 months, HR 45.16, p = 0.001), even worse than that of the CCRT alone group with PLT^hi (5.9 months, HR 15.39, p = 0.001). The comprehensive analysis of CTCs and PBCs before and after CCRT revealed that the clearance of CTC clusters and platelet counts at C1 might be potential biomarkers for predicting survival.

Association between Inflammatory Markers and Local Recurrence in Patients with Giant Cell Tumor of Bone: A Preliminary Result

Giant cell tumor of bone (GCTB) has a high local recurrence rate of approximately 20%. Systemic inflammatory markers, such as neutrophil-lymphocyte ratio (NLR), modified Glasgow prognostic score (mGPS), prognostic nutritional index (PNI), lymphocyte-monocyte ratio (LMR), platelet-lymphocyte ratio (PLR), hemoglobin (Hb), alkaline phosphatase (ALP), and lactate dehydrogenase (LDH), have been reported as prognostic markers in patients with malignant tumors. This study aimed to investigate the correlation between these markers and the local recurrence rate of GCTB. In total, 103 patients with GCTB who underwent surgery at the authors' institutions between 1993 and 2021 were included. Thirty patients experienced local recurrence. Univariate and multivariate analysis showed that tumor site, preoperative and postoperative denosumab treatment, and surgery were significantly associated with local recurrence-free survival. LDH was associated with local recurrence-free survival on univariate analysis only. NLR, mGPS, PNI, LMR, and PLR score did not correlate with the local recurrence rate. In conclusion, NLR, mGPS, PNI, LMR, PLR score, Hb, ALP, and LDH levels are not correlated with the local recurrence rate of GCTB. However, due to the small number of patients included in this study, this result should be re-evaluated in a multicenter study with a larger sample size.

Ability of Blood Cell Parameters to Predict Clinical Outcomes of Nivolumab Monotherapy in Advanced Esophageal Squamous Cell Carcinoma

Purpose

Various blood cell parameters have been identified as predictive markers of tumor responses and the survival of patients with cancer treated with immune checkpoint inhibitors. The purpose of this study is to assess the ability of various blood cell parameters to predict therapeutic effects and survival in patients with esophageal squamous cell carcinoma (ESCC) treated with nivolumab monotherapy.

Patients and Methods

We evaluated neutrophil-to-lymphocyte (NLR), platelet-to-lymphocyte (PLR) and lymphocyte-to-monocyte (LMR) ratios as predictive markers of patients' survival and effects of nivolumab monotherapy after one or more prior chemotherapies for unresectable advanced or recurrent ESCC.

Results

The objective response and disease control rates were 20.3% and 47.5%, respectively. The LMRs before, and 14 and 28 days after nivolumab initiation were significantly higher in patients with complete response (CR)/partial response (PR)/stable disease (SD) than those with progressive disease (PD). The NLRs at 14 and 28 days after nivolumab initiation were significantly lower in patients with CR/PR/SD than with PD. The optimal cutoffs for these parameters significantly discriminated patients with CR/PR/SD and PD. Univariate and multivariate analyses identified pretreatment NLRs as a significant independent factor for progression-free and overall survival (hazard ratio [HR]: 1.19, 95% confidence interval [CI]: 1.07-1.32, and HR 1.23, 95% CI: 1.11-1.37, respectively; p ≤ 0.001 for both).

Conclusion

The pretreatment LMRs, and NLR and LMR at 14 and 28 days after starting nivolumab monotherapy were significantly associated with the clinical therapeutic effect. The pretreatment NLR was significantly associated with patients' survival. These blood cell parameters before and during the early days of nivolumab monotherapy can help to identify patients with ESCC who would most likely benefit from nivolumab monotherapy.

Prognostic value of inflammatory markers and clinical features for survival in advanced or metastatic esophageal squamous cell carcinoma patients receiving anti-programmed death 1 treatment

Purpose

This study aims to assess the prognostic value of inflammatory markers and clinical features in advanced or metastatic esophageal squamous cell carcinoma (ESCC) patients receiving anti-programmed death 1 (PD-1) treatment.

Methods

Based on receiver operating characteristic curve (ROC) analysis, Youden's indexes were applied to determine the cut-off values for inflammatory markers, including neutrophil-to-lymphocyte ratio (NLR), derived neutrophil-to-lymphocye ratio (dNLR), monocyte-to-lymphocyte ratio (MLR), platelet-to-lymphocyte ratio (PLR), and systemic immune-inflammation index (SII). Wilcoxon test was conducted to evaluate the changes in above inflammatory markers. Kaplan-Meier method was utilized to estimate progression-free survival (PFS) and overall survival (OS), and the Log-rank test was used to compare the different survival between groups. Univariate and multivariate Cox regression analyses were performed to assess the prognostic value of inflammatory markers and clinical features.

Results

162 advanced or metastatic ESCC patients receiving anti-PD-1 treatment were enrolled in this retrospective study. The cut-off values of NLR, dNLR, MLR, PLR, and SII were 4.748, 2.214, 0.309, 250.505, and 887.895, respectively. NLR, dNLR, PLR, and SII declined significantly among the partial response (PR) (P<0.001, P<0.001, P=0.036, P<0.001), objective response rate (ORR) (P<0.001, P<0.001, P=0.036, P<0.001), and disease control rate (DCR) (P<0.001, P<0.001, P=0.038, P<0.001) groups, respectively. Significant increases were found in NLR (P<0.001), dNLR (P<0.001), MLR (P=0.001), and SII (P=0.024) when anti-PD-1 treatment failed. Multivariate Cox regression analysis indicated that NLR (P<0.001, P=0.002), lymph node metastasis (P=0.013, P=0.001), Eastern Cooperative Oncology Group Performance Status (ECOG PS) (P=0.008, P=0.002), and treatment lines (P=0.037, P=0.048) were significant prognostic indicators of PFS and OS. Additionally, SII (P=0.016) was also significantly related to OS in ESCC patients. The risk score model showed that low risk patients prolonged PFS and OS than those with middle or high risk (P<0.001, P<0.001).

Conclusion

Inflammatory markers can reflect short-term outcomes of anti-PD-1 treatment for ESCC patients. NLR, lymph node metastases, ECOG PS, and treatment lines are significant prognostic indicators for PFS and OS. And the risk score model constructed based on the above factors has favourable prognostic predictive value.