Systematic Immunological Level Determined the Prognosis of Leptomeningeal Metastasis in Lung Cancer

Prognostic value of pre-treatment neutrophil-to-lymphocyte ratio in patients with brain metastasis from cancer: a meta-analysis

Evidence shows that inflammatory responses play an essential role in the development of brain metastases (BM). The goal of this meta-analysis was to critically evaluate the literature regarding the use of the neutrophil to lymphocyte ratio (NLR) to predict the prognosis of patients with BM to help clinicians institute early interventions and improve outcomes. We conducted systematic review and meta-analysis, utilizing data from prominent databases, including PubMed, Cochrane Library and China National Knowledge Infrastructure databases. Our inclusion criteria encompassed studies investigating the studies that assessed the association between NLR and overall survival (OS). We included 11 articles, with 2629 eligible patients, to evaluate the association between NLR and OS. High NLR was significantly associated with shorter OS, with a pooled hazard ratio (HR) of 1.82 (95% CI 1.57-2.11). Subgroup analysis revealed that this association was consistent across different regions, with HRs of 2.03 (95% CI 1.67-2.46) in Asian populations and 1.58 (95% CI 1.35-1.84) in non-Asian populations. Additionally, in a subgroup analysis based on NLR cut-off values, patients with NLR ≥ 3 had an HR of 1.69 (95% CI 1.46-1.96), while those with NLR < 3 had an HR of 2.26 (95% CI 1.64-3.11). Sensitivity analysis confirmed that no single study significantly influenced the pooled effect size. Our meta-analysis confirmed the prognostic value of NLR in patients with brain metastasis.

Osimertinib is associated with improved outcomes in pre-treated non-small cell lung cancer leptomeningeal metastases: A systematic review and meta-analysiss

Purpose

Leptomeningeal metastasis (LM) is a severe complication of non-small cell lung cancer (NSCLC). In patients with NSCLC LM harboring epidermal growth factor receptor (EGFR) mutations, osimertinib is favored over alternative EGFR tyrosine kinase inhibitors (TKIs). However, the efficacy of osimertinib relative to other EGFR-TKIs is not well established for patients with LM. We aimed to compare the efficacy of EGFR-TKIs in EGFR-mutated NSCLC LM.

Methods

This systematic review and meta-analysis performed according to PRISMA guidelines included studies of adult patients with EGFR-mutated NSCLC and a diagnosis of LM who received an EGFR-TKI for the treatment of LM. We searched Medline ALL, Embase, Cochrane Central Register of Controlled Trials, Scopus, and Web of Science Core Collection. The evaluation of biases was done by using the Ottawa-Newscastle scale. The hazard ratio was used as the parameter of interest for overall survival (OS) and central nervous system-specific progression-free survival (PFS).

Results

128 publications were included with 243 patients and 282 lines of EGFR-TKI for NSCLC LM that met inclusion criteria. The median PFS in patients receiving any EGFR-TKI was 9.1 months, and the median OS was 14.5 months. In univariate analyses of the entire cohort, osimertinib treatment demonstrated significantly prolonged PFS, but not OS, compared to other EGFR-TKIs. Osimertinib demonstrated significantly prolonged PFS and OS in the subset of patients who were previously treated with EGFR-TKIs, but not in EGFR-TKI naïve patients.

Conclusion

Osimertinib is associated with improved outcomes compared to other EGFR-TKIs, particularly in patients previously treated with EGFR-TKIs. An important limitation is that most patients were derived from retrospective reports. These results highlight the need for prospective studies for this difficult-to-treat patient population.

Treatment Advances in Lung Cancer with Leptomeningeal Metastasis

Leptomeningeal metastasis (LM) is a serious and often fatal complication in patients with advanced lung cancer, resulting in significant neurological deficits, decreased quality of life, and a poor prognosis. This article summarizes current research advances in treating lung cancer with meningeal metastases, discusses clinical challenges, and explores treatment strategies. Through an extensive review of relevant clinical trial reports and screening of recent conference abstracts, we collected clinical data on treating patients with lung cancer with meningeal metastases to provide an overview of the current research progress. Exciting progress has been made by focusing on specific mutations within lung cancer, including the use of EGFR tyrosine kinase inhibitors or inhibitors for anaplastic lymphoma kinase gene rearrangement, such as osimertinib, alectinib, and lorlatinib. These targeted therapies have shown impressive results in penetrating the central nervous system (CNS). Regarding whole-brain radiotherapy, there is currently some controversy among investigators regarding its effect on survival. Additionally, immune checkpoint inhibitors (ICIs) have demonstrated reliable clinical benefits due to their ability to retain anticancer activity in CNS metastases. Moreover, combination therapy shows promise in providing further treatment possibilities. Considerable progress has been made in the clinical research of lung cancer with LM. However, the sample size of prospective clinical trials investigating LM for lung cancer is still limited, with most reports being retrospective. Developing more effective management protocols for metastatic LM in lung cancer remains an ongoing challenge for the future.

Molecular characteristics and prognostic factors of leptomeningeal metastasis in non-small cell lung cancer

BACKGROUND

Non-small cell lung cancer with leptomeningeal metastasis (NSCLC-LM) is emerging as a new management challenge for oncologists and is associated with poor prognosis. This study aimed to investigate the molecular characteristics and prognostic factors of NSCLC-LM.

METHODS

This retrospective study included 97 patients with NSCLC-LM between January 2015 and October 2021. Progression-free survival (PFS) and overall survival (OS) were evaluated. Gene mutations were detected by next-generation sequencing (NGS).

RESULTS

The median PFS and OS were 8.4 (95 % confidence interval [CI]: 4.839-11.901) and 14.0 (95 % CI: 9.254-18.746) months, respectively. Sixty-seven patients harboured epidermal growth factor receptor-mutated (EGFRm): L858R (34), 19del (29), T790M (13), and G719C with L861Q (1). Other mutations included ALK (5), ROS1 (3), KRAS (1), TP53 (14), MET amplification (6). The detection rate and types of circulating tumour DNA (ctDNA) in the cerebrospinal fluid (CSF) samples were higher than the paired plasma samples. Patients with EGFR mutations had a longer median OS than those without mutations (19.0 vs. 13.0 months, P = 0.015). Patients with gene mutations had shorter median OS than those without mutations, such as ALK (11.8 vs. 19.9 months, P = 0.014), ROS1 (12.7 vs. 19.8 months, P = 0.014), KRAS (4.0 vs. 19.0 months, P = 0.005), TP53 (15.0 vs. 19.0 months, P = 0.014), and MET amplification (6.0 vs. 19.0 months, P = 0.003). Multivariate analysis indicated that MET amplification was an independent predictor of poor survival. Along with Eastern Cooperative Oncology Group Performance Status (ECOG PS) ≥ 3, LM accompanied with brain parenchymal metastasis (BPM), extracranial disease, and seizures were independent predictors of poor survival, whereas intrathecal chemotherapy, and third-generation EGFR-TKIs were independent predictors of favorable survival.

CONCLUSIONS

CSF ctDNA detected using NGS had a high sensitivity for NSCLC-LM, showing high potential in detecting driver and drug-resistant gene mutations. Genomic profiles, combined with clinically relevant prognostic factors, will guide individualised treatments and improve the outcomes of NSCLC-LM patients.

Role of Systemic Immunoinflammation Landscape in the Overall Survival of Patients with Leptomeningeal Metastases from Lung Cancer

Purpose

Several biomarkers, such as baseline neutrophil-to-lymphocyte ratio (NLR), have been more investigated in patients with brain metastases (BM), while their role in patients with leptomeningeal metastases (LM) has not been clarified. Considering the difference between the clinical behaviour of BM and LM, there is the need for addressing the role of these biomarkers in LM.

Methods

The present study retrospectively analyzed 95 consecutive patients with LM from lung cancer who were diagnosed at the National Cancer Center, Cancer Hospital of Chinese Academy of Medical Sciences between January 2016 and December 2019. Baseline NLR, platelet-to-lymphocyte ratio (PLR), systemic immunoinflammation index (SII), and lymphocyte-to-monocyte ratio at diagnosis of LM were calculated based on complete blood count and correlated, along with other characteristics, with overall survival (OS) using univariate and multivariate analyses. The best cutoff values for systemic immunoinflammation biomarkers were derived using the surv_cutpoint function in R software, which optimized the significance of the split between Kaplan-Meier survival curves.

Results

Median OS of patients with LM was 12 months (95% CI 9-17 months). On univariate analysis, NLR, PLR, SII, LMR, sex, smoking history, ECOG performance status (PS) scores, histological subtypes and targeted therapy were all significantly associated with OS. Only NLR (P=0.034, 95% CI 1.060-4.578) and ECOG PS scores (P=0.019, 95% CI 0.137-0.839) maintained a significant association with OS on multivariate analysis. Furthermore, patients with baseline NLR >3.57 had significantly worse OS than patients with NLR ≤3.57 (median OS 7 vs 17 months), as did patients with ECOG PS scores >2 vs ≤2 (median OS 4 vs 15 months).

Conclusion

Both baseline NLR and PS scores at the time of LM diagnosis are helpful and available prognostic biomarkers for patients with LM from lung cancer.

Brain parenchymal and leptomeningeal metastasis in non-small cell lung cancer

Patients with advanced non-small cell lung cancer (NSCLC) are prone to brain metastases (BM), which essentially include brain parenchymal metastases (PM) and leptomeningeal metastases (LM). We conducted a retrospective study to comprehensively assess the clinical characteristics and risk factors of patients with advanced NSCLC who develop PM and LM. Patients with advanced NSCLC were enrolled. These patients were then divided into three groups for analysis: patients without BM (No-BM), patients with PM and patients with LM. Data on clinical characteristics of each patient at the time of diagnosis advanced NSCLC were extracted and analyzed. In addition, prediction models were developed and evaluated for PM and LM. A total of 592 patients were enrolled in the study. BM was present in 287 patients (48.5%). Among them, 185 and 102 patients had PM or LM. Patients with LM had a higher proportion of EGFR exon 21point mutations (L858R) compared to patients with No-BM and PM (p < 0.0001). The median time to the onset of PM and LM from the diagnosis of advanced NSCLC was 0 months and 8.3 months, respectively. Patients with LM had a statistically shorter over survival (OS) compared to either No-BM or PM patients (p < 0.0001). Based on independent predictive variables, two nomogram models were constructed to predict the development of PM and LM in advanced NSCLC patients, and the C-indexes were 0.656 and 0.767, respectively. Although both considered as BM, PM and LM had different clinical characteristics. And the nomogram showed good performance in predicting LM development, but not PM.