The Optimal First-Line Therapy for Extensive-Stage Small-Cell Lung Cancer Based on Liver Metastasis Status: A Network Meta-Analysis and Systematic Review.

PURPOSE: To compare the efficacy of first-line regimens based on programmed cell death (or ligand) [PD-(L)1] blockade in extensive-stage small-cell lung cancer (ES-SCLC) patients with or without liver metastases (LM), and to identify optimal treatment strategies. METHODS: Network meta-analysis of randomized controlled trials (RCTs) comparing chemo-immunotherapy (CIT) and chemotherapy (CT) in ES-SCLC patients stratified by LM. Overall survival (OS) and progression-free survival (PFS) were evaluated using hazard ratios (HRs) and 95% confidence intervals (CIs). RESULTS: Seven RCTs involving 3658 ES-SCLC patients (1243 with LM, 2415 without LM) were analyzed. For patients with LM, the combination therapies of anti-PD-1 + CT (HR, 0.67; 95% CI, 0.54%-0.82%; p < 0.001) and anti-PD-L1 + CT + anti-angiogenesis (HR, 0.84; 95% CI, 0.71%-0.99%; p = 0.042) demonstrated superior efficacy in prolonging OS compared to CT alone. The anti-PD-1 + CT regimen had the highest cumulative probability of 91.6% for extending OS in patients with LM. For patients without LM, all CIT regimens resulted in improved OS compared to CT alone, with the regimen of anti-angiogenesis + anti-PD-L1 + CT ranking first and having the highest cumulative probability of 95.5% for prolonging OS. CONCLUSIONS: CIT is effective for ES-SCLC patients regardless of LM status. For patients with LM, PD-1 blockade combined with CT is the best option. For patients without LM, the most beneficial regimen is the combination of anti-angiogenesis, PD-L1 blockade, and CT.

Is neoadjuvant immunotherapy necessary in patients with programmed death ligand 1 expression-negative resectable non-small cell lung cancer? A systematic review and meta-analysis.

OBJECTIVES: The aim of this study was to investigate the clinical benefit and necessity of neoadjuvant programmed cell death (or ligand) (PD-(L)1) blockades in resectable non-small cell lung cancer (NSCLC) patients with negative PD-L1 expression. MATERIALS AND METHODS: Randomized control trials (RCTs) that compared event-free survival (EFS), overall survival (OS), major pathological response (MPR), and/or pathological complete response (pCR) between neoadjuvant chemo-immunotherapy (nCIT) and neoadjuvant chemotherapy (nCT) for patients with resectable NSCLC stratified by PD-L1 expression were eligible for inclusion in the study. Data regarding the pathological response and EFS were evaluated by the odds ratio (OR) and hazard ratio (HR) with 95% confidence interval (CI) using random and fixed models. RESULTS: A total of six RCTs involving 3,194 patients with resectable NSCLC with or without neoadjuvant immunotherapy were included. Compared with nCT alone, nCIT significantly improved pCR (18.3 % vs. 3.0 %; OR, 5.64; 95 % CI, 3.22-9.89; P < 0.001), MPR (38.9 % vs. 15.5 %; OR, 3.57; 95 % CI, 2.10-6.05; P < 0.001), and EFS (HR, 0.75; 95 % CI, 0.62-0.90; P = 0.002) in PD-L1 <1 % NSCLC patients. In addition, PD-L1 ≥1 % was associated with higher rates of pCR (32.8 % vs. 18.3 %; OR, 2.28; 95 % CI, 1.40-3.73; P = 0.001) and MPR (53.9 % vs. 38.9 %; OR, 1.84; 95 % CI, 1.22-2.79; P = 004) and longer EFS (HR, 0.44 vs. 0.75) in the setting of nCIT compared with PD-L1 <1 %. nCIT improved only OS in NSCLC patients with PD-L1 ≥1 % but not in patients with PD-L1 <1 %. CONCLUSIONS: The use of nCIT should be recommended for resectable NSCLC patients with negative PD-L1 expression, as nCIT significantly improved the pathological response and EFS in these patients. The benefit to PD-L1-negative patients treated with nCIT on OS remains to be validated.

Expression and Potential Biomarkers of Regulators for M7G RNA Modification in Gliomas.

Gliomas are the most frequent primary malignant brain tumors of the central nervous system, causing significant impairment and death. There is mounting evidence that N7 methylguanosine (m7G) RNA dysmethylation plays a significant role in the development and progression of cancer. However, the expression patterns and function of the m7G RNA methylation regulator in gliomas are yet unknown. The goal of this study was to examine the expression patterns of 31 critical regulators linked with m7G RNA methylation and their prognostic significance in gliomas. To begin, we systematically analyzed patient clinical and prognostic data and mRNA gene expression data from The Cancer Genome Atlas (TCGA) and the Gene Expression Omnibus (GEO) databases. We found that 17 key regulators of m7G RNA methylation showed significantly higher expression levels in gliomas. We then divided the sample into two subgroups by consensus clustering. Cluster 2 had a poorer prognosis than cluster 1 and was associated with a higher histological grade. In addition, cluster 2 was significantly enriched for cancer-related pathways. Based on this discovery, we developed a risk model involving three m7G methylation regulators. Patients were divided into high-risk and low-risk groups based on risk scores. Overall survival (OS) was significantly lower in the high-risk group than in the low-risk group. Further analysis showed that the risk score was an independent prognostic factor for gliomas.