ABSTRACT
BACKGROUND: Lung cancer is the leading cause of cancer-related deaths worldwide. Lung adenocarcinoma (LUAD) is one of the main subtypes of lung cancer. Hundreds of metabolic genes are altered consistently in LUAD; however, their prognostic role remains to be explored. This study aimed to establish a molecular signature that can predict the prognosis in patients with LUAD based on metabolic gene expression. METHODS: The transcriptome expression profiles and corresponding clinical information of LUAD were obtained from The Cancer Genome Atlas and Gene Expression Omnibus databases. The differentially expressed genes (DEGs) between LUAD and paired non-tumor samples were identified by the Wilcoxon rank sum test. Univariate Cox regression analysis and the lasso Cox regression model were used to construct the best-prognosis molecular signature. A nomogram was established comprising the prognostic model for predicting overall survival. To validate the prognostic ability of the molecular signature and the nomogram, the Kaplan-Meier survival analysis, Cox proportional hazards model, and receiver operating characteristic analysis were used. RESULTS: The six-gene molecular signature (PFKP, PKM, TPI1, LDHA, PTGES, and TYMS) from the DEGs was constructed to predict the prognosis. The molecular signature demonstrated a robust independent prognostic ability in the training and validation sets. The nomogram including the prognostic model had a greater predictive accuracy than previous systems. Furthermore, a gene set enrichment analysis revealed several significantly enriched metabolic pathways, which suggests a correlation of the molecular signature with metabolic systems and may help explain the underlying mechanisms. CONCLUSIONS: Our study identified a novel six-gene metabolic signature for LUAD prognosis prediction. The molecular signature could reflect the dysregulated metabolic microenvironment, provide potential biomarkers for predicting prognosis, and indicate potential novel metabolic molecular-targeted therapies.
ABSTRACT
BACKGROUND AND OBJECTIVE: It remains disputed whether doublets are more effective than single-agent chemotherapy for elderly patients with advanced non-small cell lung cancer (NSCLC). The aim of this study is to evaluate the efficacy and safety of doublets and single-agent chemotherapy for elderly patients with NSCLC. METHODS: Data from all published, randomized trials that compared doublets and single-agent chemotherapy in elderly patients were collected from electronic databases (PubMed, EMBASE, Cochrane Library, CNKI and the CBMdice). Meta-analysis was completed using software Stata 11.0. RESULTS: The results of the meta-analysis, including 12 eligible trials (2,306 patients), showed that the doublets significantly increased the overall response rate (OR=1.80, 95%CI:1.50-2.17, P<0.000,1) and one-year survival rate (OR=1.45, 95%CI: 1.22-1.72, P<0.000,1) compared with single-agent chemotherapy. The results of one-year survival rate in platinum-based doublet chemotherapy arms (OR=1.55, 95%CI: 1.18-2.03, P=0.001) and non platinum-based ones (OR=1.38, 95%CI: 1.10-1.73, P=0.006) were both significantly higher than that of single-agent chemotherapy. However, grade 3/4 anemia, neutropenia, thrombocytopenia and neurotoxicity (P<0.05) were significantly associated with doublet chemotherapy. The incidence of toxicity effect in non platinum-based chemotherapy was similar to that of single-agent chemotherapy. CONCLUSIONS: Compared with single-agent chemotherapy, doublet chemotherapy could increase the overall response rate and one-year survival rate significantly. Therefore, doublet chemotherapy would be more appropriate for elderly patients with advanced NSCLC as the first-line chemotherapy regimen. However, further prospective randomized controlled trials in elderly NSCLC patients is needed to verify the findings in this study.
