BACKGROUND: Currently, lung cancer is one of the malignant tumors with a high morbidity and mortality all over the world. However, the exact mechanisms underlying lung cancer progression remain unclear. The tumor necrosis factor receptor associated factor (TRAF) family members are cytoplasmic adaptor proteins, which function as both adaptor proteins and ubiquitin ligases to regulate diverse receptor signalings, leading to the activation of nuclear factor kappa-B (NF-κB), mitogen-activated protein kinase (MAPK) and interferon regulatory factor (IRF) signaling. The aim of this study was to investigate the expression of TRAFs in different tissues and cancer types, as well as its mRNA expression, protein expression, prognostic significance and functional enrichment analysis in non-small cell lung cancer (NSCLC), in order to provide new strategies for the diagnosis and treatment of NSCLC. METHODS: RNA sequencing data from the The Genotype-Tissue Expression database was used to analyze the expression patterns of TRAF family members in different human tissues. RNA sequencing data from the Cancer Cell Line Encyclopedia database was used to analyze the expression patterns of TRAF family members in different types of cancer cell lines. RNA sequencing data from the The Cancer Genome Atlas (TCGA) database was used to analyze the mRNA levels of TRAF family members across different types of human cancers. Immunohistochemistry (IHC) analyses from HPA database were used to analyze the TRAF protein levels in NSCLC [lung adenocarcinoma (LUAD) and lung squamous carcinoma (LUSC)]. Overall survival analysis was performed by Log-rank test using original data from Kaplan-Meier Plotter database to evaluate the correlation between TRAF expressions and prognosis. Gene Ontology and Kyoto Encyclopedia of Genes and Genomes pathway enrichment analyses were performed on the TRAF family-related genes using RNA sequencing data from the TCGA database for NSCLC. The correlation between the expression levels of TRAF family members and the tumor immune microenvironment was analyzed using the ESTIMATE algorithm based on RNA sequencing data from the TCGA database. RESULTS: The TRAF family members exhibited significant tissue-specific expression heterogeneity. TRAF2, TRAF3, TRAF6 and TRAF7 were widely expressed in most tissues, while the expressions of TRAF1, TRAF4 and TRAF5 were restricted to specific tissues. The expressions of TRAF family members were highly specific among different types of cancer cell lines. In mRNA database of LUAD and LUSC, the expressions of TRAF2, TRAF4, TRAF5 and TRAF7 were significantly upregulated; while TRAF6 did the opposite; moveover, TRAF1 and TRAF3 only displayed a significant upregulation in LUAD and LUSC, respectively. Except for TRAF3, TRAF4 and TRAF7, other TRAF proteins displayed an obviously deeper IHC staining in LUAD and LUSC tissues compared with normal tissues. Additionally, patients with higher expression levels of TRAF2, TRAF4 and TRAF7 had shorter overall survival; while patients with higher expression levels of TRAF3, TRAF5 and TRAF6 had significantly longer overall survival; however, no significant difference had been observed between TRAF1 expression and the overall survival. TRAF family members differentially regulated multiple pathways, including NF-κB, immune response, cell adhesion and RNA splicing. The expression levels of TRAF family members were closely associated with immune cell infiltration and stromal cell content in the tumor immune microenvironment, with varying positive and negative correlations among different members. CONCLUSIONS TRAF family members exhibit highly specific expression differences across different tissues and cancer types. Most TRAF proteins exhibit upregulation at both mRNA and protein levels in NSCLC, whereas, only upregulated expressions of TRAF2, TRAF4 and TRAF7 predict worse prognosis. The TRAF family members regulate processes such as inflammation, immunity, adhesion and splicing, and influence the tumor immune microenvironment.
Humans ; Carcinoma, Non-Small-Cell Lung/pathology* ; Lung Neoplasms/mortality* ; Prognosis ; Gene Expression Regulation, Neoplastic ; Tumor Necrosis Factor Receptor-Associated Peptides and Proteins/metabolism*

BACKGROUND: Epidermal growth factor receptor tyrosine kinase inhibitors (EGFR-TKIs) have demonstrated some dramatic efficacy in advanced non-small-cell lung cancer (NSCLC) patients with activating EGFR mutation. However, progression-free survivals (PFS) among those patients who were treated with first line EGFR TKIs were inconsistent. The aim of this study is to explore the association of clinical prognostic factors with EGFR-TKI efficacy in advanced NSCLC patients. METHODS: The demographic and clinical characteristics of 203 patients with activating EGFR mutation treated with first generation TKI as a first-line therapy were retrospectively reviewed. RESULTS: Of the 203 patients enrolled in this study, 139 patients had progression of disease and 63 patients died. The subjects had a median follow up duration of 21.1months and a median PFS of 14.3 months. Partial response (PR) was achieved in 127 (66.1%) patients and stable disease (SD) rate was achieved in 55 (28.6%) patients. In univariate analysis, patients with 2 or higher ECOG score (5.1 vs 16 months, P=0.033), SD as best overall response (9.5 vs 17.9 months, P=0.030), extrathoracic metastasis (11.7 vs 27.5 months, P=0.004), liver metastasis (4.1 vs 16.0 months, P=0.000), bone metastasis (13.3 vs 21.5months, P=0.027) and pulmonary embolism (5.5 vs 16.6 months, P=0.005) had shorter PFS than those without the listed factors. Multivariable Cox regression analysis showed best overall response (HR=1.825, 95%CI: 1.107-3.008, P=0.018) and liver metastasis (HR=1.694, 95%CI: 1.146-5.756, P=0.022) were independent predictive factors of shorter PFS. CONCLUSIONS Despite the high efficacy of EGFR-TKI, SD as best overall response and liver metastasis predicts poorer PFS in advanced NSCLC patients with EGFR gene mutations receiving first-line therapy treatment.
Adult ; Aged ; Antineoplastic Agents ; administration & dosage ; Carcinoma, Non-Small-Cell Lung ; drug therapy ; enzymology ; genetics ; mortality ; ErbB Receptors ; genetics ; metabolism ; Female ; Humans ; Lung Neoplasms ; drug therapy ; enzymology ; genetics ; Middle Aged ; Mutation ; Protein Kinase Inhibitors ; administration & dosage ; Retrospective Studies ; Treatment Outcome ; Young Adult

OBJECTIVE: To explore the expression patterns of transcription factor SOX12 in lung adenocarcinoma and its significance in the diagnosis and prognosis of the malignancy. METHODS: Large cancer genome databases were used to analyze SOX12 expression level in lung adenocarcinoma. Immunohistochemistry (IHC) and semiquantitative PCR were used to detect the expression of SOX12 in 36 specimens of lung adenocarcinoma tissues, 15 adjacent tissues and 21 normal lung tissues. The prognostic value of SOX12 in lung adenocarcinoma and lung squamous cell carcinoma were analyzed using Kaplan-Meier Plotter database, and the relationship between SOX12 expression and the overall survival (OS) and progression free survival (PPS) of the patients were analyzed. RESULTS: Analysis of TCGA database and GEO (GSE40419) database showed that SOX12 expression levels were significantly higher in in lung adenocarcinoma than in normal lung tissues ( < 0.001). The results of IHC and semiquantitative PCR revealed that SOX12 was expressed at significantly higher levels in lung adenocarcinoma than in normal lung tissues ( < 0.001). Kaplan-Meier survival analysis showed that patients with lung adenocarcinoma positive for SOX12 had a significantly shorter OS and PPS time than those negative for SOX12 ( < 0.05), but SOX12 positivity did not significantly affect OS and PPS of patients with lung squamous cell carcinoma. CONCLUSIONS High expression levels of SOX12 in lung adenocarcinoma are significantly associated with a poor OS of the patients, suggesting the value of SOX12 to assist in early diagnosis and prognostic evaluation of lung adenocarcinoma.
Adenocarcinoma ; metabolism ; Adenocarcinoma of Lung ; metabolism ; mortality ; Biomarkers, Tumor ; metabolism ; Carcinoma, Non-Small-Cell Lung ; metabolism ; mortality ; Databases, Factual ; Humans ; Kaplan-Meier Estimate ; Lung Neoplasms ; metabolism ; mortality ; Prognosis ; SOXC Transcription Factors ; metabolism ; Transcription Factors

Hypoxia-inducible factor-1 alpha (HIF-1α) plays a vital role in the initiation, evaluation and prognosis in lung cancer. The prognostic value of HIF-1α reported in diverse study remains disputable. Accordingly, a meta-analysis was implemented to further understand the prognostic role of HIF-1α in lung cancer. The relationship between HIF-1α and the clinicopathological characteristics and prognosis of lung cancer were investigated by a meta-analysis. PubMed and Embase were searched from their inception to January 2015 for observational studies. Fixed-effects or random-effects meta-analyses were used to calculate odds ratios and 95% confidence intervals of different comparisons. A total of 20 studies met the criteria. The results showed that HIF-1α expression in lung cancer tissues was significantly higher than that in normal lung tissues. Expression of HIF-1α in patients with squamous cell carcinoma was significantly higher than that of patients with adenocarcinomas. Similarly, non-small cell lung cancer (NSCLC) patients had higher HIF-1α expression than small cell lung cancer (SCLC) patients. Moreover, lymph node metastasized tissues had higher HIF-1α expression than non-lymph node metastasized tissues. A high level HIF-1α expression was well correlated with the expression of vascular endothelial growth factor and epidermal growth factor receptor in the NSCLC. Notably, NSCLC or SCLC patients with positive HIF-1α expression in tumor tissues had lower overall survival rate than patients with negative HIF-1α expression. It was suggested that HIF-1α expression may be a prognostic biomarker and a potential therapeutic target for lung cancer.
Adenocarcinoma ; diagnosis ; genetics ; mortality ; pathology ; Biomarkers, Tumor ; genetics ; metabolism ; Carcinoma, Non-Small-Cell Lung ; diagnosis ; genetics ; mortality ; pathology ; Carcinoma, Squamous Cell ; diagnosis ; genetics ; mortality ; pathology ; Humans ; Hypoxia-Inducible Factor 1, alpha Subunit ; genetics ; metabolism ; Lung Neoplasms ; diagnosis ; genetics ; mortality ; pathology ; Lymphatic Metastasis ; Neoplasm Grading ; Neoplasm Staging ; Odds Ratio ; Prognosis ; Receptor, Epidermal Growth Factor ; genetics ; metabolism ; Survival Analysis ; Vascular Endothelial Growth Factor A ; genetics ; metabolism

Accumulating studies explored the clinicopathologic and prognostic value of programmed death ligand-1 (PD-L1) in non-small cell lung cancer (NSCLC), but the results were controversial. We therefore conducted a meta-analysis to evaluate the predictive role of PD-L1 in NSCLC patients. We systematically collected relevant studies from PubMed, Embase, Web of Science and China National Knowledge Infrastructure. The pooled hazard ratios (HRs) with 95% confidence intervals (CIs) for overall survival (OS), and odd ratios (ORs) with 95% CIs for clinicopathologic factors were calculated. A total of 15 studies involving 3605 patients were included in this meta-analysis. The results showed no prognostic role of PD-L1 in the whole patients (HR=1.60, 95% CI: 0.88-2.89, P=0.123). Subgroup analysis showed that PD-L1 was associated with decreased OS in Asian patients (HR=2.00, 95% CI: 1.55-2.57, P<0.001). Among all the clinicopathologic factors, PD-L1 overexpression was significantly in relevance with poor tumor cell differentiation (HR=1.84, 95% CI: 1.49-2.28, P<0.001), late stage (HR=1.21, 95% CI: 1.02-1.43, P=0.026) and anaplastic lymphoma kinase (ALK) translocation (HR=2.63, 95% CI: 1.08-6.40, P=0.034), but not with other factors. In conclusion, our meta-analysis demonstrated that PD-L1 has a prognostic role in Asian patients with NSCLC.
Asian Continental Ancestry Group ; B7-H1 Antigen ; genetics ; metabolism ; Biomarkers, Tumor ; genetics ; metabolism ; Carcinoma, Non-Small-Cell Lung ; diagnosis ; ethnology ; genetics ; mortality ; European Continental Ancestry Group ; Humans ; Lung Neoplasms ; diagnosis ; ethnology ; genetics ; mortality ; Neoplasm Grading ; Neoplasm Staging ; Prognosis ; Proportional Hazards Models ; Protein Transport ; Receptor Protein-Tyrosine Kinases ; genetics ; metabolism

OBJECTIVEThe aim of this study was to investigate the prognostic value of combined expression of Aurora A, Ki-67, p53 and p21 WAF1 in patients after curative resection of non-small cell lung cancer (NSCLC).

METHODSExpressions of Aurora A, Ki-67, p53 and p21 WAF1 in 58 tumor samples from resected primary NSCLCs were detected by immunohistochemistry. The correlation of proteins, survival and clinicopathological characteristics was analyzed.

RESULTSThe positive rates of Aurora A, Ki-67, p53 and p21 WAF1 expression were 89.7% (52/58), 53.4% (31/58), 46.6% (27/58) and 34.5% (20/58), respectively. Aurora A expression was positively correlated with nodal metastasis (69.2% vs. 37.8%, P = 0.045). The univariable analysis showed that the overall survival (OS) was 75.0%in patients with low Aurora A expression and 46.0% in patients with high Aurora A expression (P = 0.039). The 3-year survival rate was 40.0% in patients with positive expression of Aurora A and p53, 65.0% in the patients with positive expression of Aurora A or p53, and 82.1% in the patients with negative expression of Aurora A and p53 (P = 0.039). The Cox regression model showed that combined expression of Aurora and p53 is an independent factor affecting the prognosis of NSCLC patients (P = 0.015).

CONCLUSIONSOur findings suggest that the positive expression of Aurora A, Ki-67 and p53 proteins is an unfavorable factor affecting the prognosis for NSCLC patients, and the overexpression of Aurora A is an independent unfavorable factor association with shorter OS in NSCLC patients. Detection of positive Aurora A and p53 expression may be a useful predictive prognostic indicator for NSCLC patients.

Aurora Kinase A ; metabolism ; Carcinoma, Non-Small-Cell Lung ; metabolism ; mortality ; surgery ; Cyclin-Dependent Kinase Inhibitor p21 ; metabolism ; Humans ; Immunohistochemistry ; Ki-67 Antigen ; metabolism ; Lung Neoplasms ; metabolism ; mortality ; surgery ; Prognosis ; Survival Analysis ; Survival Rate ; Tumor Suppressor Protein p53 ; metabolism

This study aimed to explore Semaphrin4D (Sema4D) expression and clinical significance in non-small cell lung cancer (NSCLC), and to define the roles and mechanisms of Sema4D in regulating the malignant behaviors of A549 cells by small interfering RNA (siRNA). Firstly, immunohistochemistry revealed that Sema4D was more frequently expressed in NSCLC than in lung benign lesion (P<0.05) and its overexpression was associated with low differentiation (P<0.05), poor pTNM staging (P<0.05) and occurrence of lymph node (LN) metastasis (P<0.05). Endogenous Sema4D expression was suppressed by Sema4D siRNA in A549 cells overexpressing Sema4D. Protein levels of Sema4D, total Akt and p-Akt were examined by Western blotting. Cell proliferation, migration and invasion abilities were measured by MTT assay and Transwell assay respectively. Results showed that Sema4D siRNA significantly suppressed phosphorylation of AKT in A549 cells, but it did not alter total AKT expression. In addition, efficient down-regulation of SemaD significantly inhibit cell proliferation (P<0.05), migration (P<0.05) and invasion (P<0.05) in A549 cells. These findings suggest that Sema4D might serve as a reliable tool for early prediction of NSCLC poor prognosis. Sema4D could play an important role in promoting tumor proliferation, migration and metastasis in the NSCLC, by influencing the Akt protein phosphorylation. Inhibition of Sema4D may be a useful approach for the treatment of NSCLC.
Aged ; Antigens, CD ; biosynthesis ; Carcinoma, Non-Small-Cell Lung ; metabolism ; mortality ; pathology ; Cell Line, Tumor ; Cell Movement ; Cell Proliferation ; Disease-Free Survival ; Female ; Gene Expression Regulation, Neoplastic ; Humans ; Lung Neoplasms ; metabolism ; mortality ; pathology ; Lymphatic Metastasis ; Male ; Middle Aged ; Neoplasm Invasiveness ; Phosphorylation ; Proto-Oncogene Proteins c-akt ; metabolism ; Semaphorins ; biosynthesis ; Survival Rate

OBJECTIVE: To identify CT and FDG-PET features associated with epidermal growth factor receptor (EGFR) protein overexpression, and to evaluate whether imaging features and EGFR-overexpression can help predict clinical outcome. MATERIALS AND METHODS: In 214 patients (M : F = 129 : 85; mean age, 63.2) who underwent curative resection of stage I non-small cell lung cancer, EGFR protein expression status was determined through immunohistochemical analysis. Imaging characteristics on CT and FDG-PET was assessed in relation to EGFR-overexpression. Imaging features and EGFR-overexpression were also evaluated for clinical outcome by using the Cox proportional hazards model. RESULTS: EGFR-overexpression was found in 51 patients (23.8%). It was significantly more frequent in tumors with an SUVmax > 5.0 (p < 0.0001), diameter > 2.43 cm (p < 0.0001), and with ground glass opacity < or = 50% (p = 0.0073). SUVmax > 5.0 (OR, 3.113; 95% CI, 1.375-7.049; p = 0.006) and diameter > 2.43 cm (OR, 2.799; 95% CI, 1.285-6.095; p = 0.010) were independent predictors of EGFR overexpression. Multivariate analysis showed that SUVmax > 4.0 (hazard ratio, 10.660; 95% CI, 1.370-82.966; p = 0.024), and the presence of cavitation within a tumor (hazard ratio, 3.122; 95% CI, 1.143-8.532; p = 0.026) were factors associated with poor prognosis. CONCLUSION: EGFR-overexpression is associated with high SUVmax, large tumor diameter, and small GGO proportion. CT and FDG-PET findings, which are closely related to EGFR overexpression, can be valuable in the prediction of clinical outcome.
Adult ; Aged ; Aged, 80 and over ; Carcinoma, Non-Small-Cell Lung/metabolism/mortality/*radiography/*radionuclide imaging ; Chi-Square Distribution ; Female ; Fluorodeoxyglucose F18/therapeutic use ; Humans ; Lung Neoplasms/metabolism/mortality/*radiography/*radionuclide imaging ; Male ; Middle Aged ; Neoplasm Staging ; Positron-Emission Tomography/*methods ; Proportional Hazards Models ; ROC Curve ; Radiopharmaceuticals/diagnostic use ; Receptor, Epidermal Growth Factor/*metabolism ; Statistics, Nonparametric ; Survival Rate ; Tomography, X-Ray Computed/*methods

BACKGROUNDPatients with single station mediastinal lymph node (N2) non-small cell lung cancer (NSCLC) have a better prognosis than those with multilevel N2. The molecular factors which are involved in disease progression remain largely unknown. The purpose of this study was to investigate gene expression differences between single station and multilevel N2 NSCLC and to identify the crucial molecular factors which are associated with progress and prognosis of stage N2 NSCLC.

METHODSGene expression analysis was performed using Agilent 4×44K Whole Human Genome Oligo Microarray on 10 freshfrozen lymph node tissue samples from single station N2 and paired multilevel N2 NSCLC patients. Real-time reverse transcription (RT)-PCR was used to validate the differential expression of 14 genes selected by cDNA microarray of which four were confirmed. Immunohistochemical staining for these validated genes was performed on formalin-fixed, paraffinembedded tissue samples from 130 cases of stage N2 NSCLC arranged in a high-density tissue microarray.

RESULTSWe identified a 14 gene expression signature by comparative analysis of gene expression. Expression of these genes strongly differed between single station and multilevel N2 NSCLC. Four genes (ADAM28, MUC4, CLDN1, and IGF2) correlated with the results of microarray and real-time RT-PCR analysis for the gene-expression data in samples from 56 NSCLC patients. Immunohistochemical staining for these genes in samples from 130 cases of stage N2 NSCLC demonstrated the expression of IGF2 and CLDN1 was negatively correlated with overall survival of stage N2 NSCLC.

CONCLUSIONSOur results suggest that the expression of CLDN1 and IGF2 indicate a poor prognosis in stage N2 NSCLC. Further, CLDN1 and IGF2 may provide potential targeting opportunities in future therapies.

Adult ; Aged ; Carcinoma, Non-Small-Cell Lung ; metabolism ; mortality ; pathology ; Claudin-1 ; analysis ; genetics ; Female ; Humans ; Immunohistochemistry ; Insulin-Like Growth Factor II ; analysis ; genetics ; Lung Neoplasms ; metabolism ; mortality ; pathology ; Male ; Middle Aged ; Neoplasm Staging ; Prognosis

Carcinoma, Non-Small-Cell Lung ; blood ; mortality ; Female ; Humans ; Male ; Vascular Endothelial Growth Factor A ; metabolism