Comprehensive analysis of exosome gene LYPD3 and prognosis/immune cell infiltration in lung cancer.

Background: Lung cancer (LC) is a leading cause of cancer-associated mortality worldwide, with high incidence and mortality rates. Ly6/PLAUR domain containing 3 (LYPD3) is a tumorigenic and highly glycosylated cell surface protein that has been rarely reported in LC. This study aimed to explore the prognostic role and immune cell infiltration of LYPD3 in LC. Methods: We used ExoCarta, a database of exosomal proteins and RNA, to select exosomes in LC. The Tumor Immune Estimation Resource (TIMER) and Human Protein Atlas (HPA) databases were utilized to compare the expression of LYPD3 in LC. We applied Gene Expression Profiling Interactive Analysis 2 (GEPIA2) and Kaplan-Meier (KM) plotter to evaluate the prognostic prediction performance of LYPD3. Biological processes (BPs), Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment analyses, and gene set enrichment analysis (GSEA) analyses were performed to illustrate the possible role of LYPD3 in LC. The correlations between LYPD3 and immune cell infiltration were explored using Tumor and Immune System Interaction Database (TISIDB), GEPIA2, and TIMER. R software was used for statistical analysis and mapping. Results: A total of 904 exosome molecules were screened in LC. Further analysis showed that the up-regulation of LYPD3 in these 904 exosome molecules was associated with poor prognosis in LC. Pan-cancer analyses revealed that the expression of LYPD3 varied in many cancers, particularly in LC. Clinical correlation analysis indicated that LYPD3 was associated with stage and T classification in LC. We observed that LYPD3 co-expression genes were associated with cell cycle, DNA replication, proteasome, and regulation of the actin cytoskeleton by GSEA. Moreover, LYPD3 was associated with immune modulators. Immunophenoscores (IPS) and IPS-CTLA4 were significantly different between the high LYPD3 group and low LYPD3 group. Additionally, the median half maximal inhibitory concentration (IC50) of bexarotene, cyclopamine, etoposide, and paclitaxel in LYPD3 high group was significantly lower than that in LYPD3 low group. Conclusions: LYPD3 is involved in many BPs of LC, such as regulating immune cell infiltration and affecting prognosis. Therefore, LYPD3 may have potential value as a biomarker for prognosis and immunotherapy in LC.

Pan-Cancer Analysis of the LOX Family Reveals that LOX Affects Tumor Prognosis by Affecting Immune Infiltration.

The lysyl oxidase (LOX) gene family encodes for a group of copper-dependent enzymes that play a crucial role in the cross-linking of collagen and elastin fibers in the extracellular matrix (ECM). Dysregulation of LOX gene expression has been implicated in various pathological conditions, including cancer. Several studies have shown that the LOX gene family is involved in cancer progression and metastasis. The goal of this article is to conduct a comprehensive analysis of the LOX family's role in pan-cancer multiplexes. We utilized pan-cancer multi-omics sequencing data from TCGA to investigate the relationship between LOX family genes and tumors at four different levels: mutation, copy number variation, methylation, and gene expression. In addition, we also examined the relationship between LOX family genes and tumors at the cell line level using tumor cell line sequencing data from CCLE. Taking into account the impact of LOX family genes on lung cancer, we developed a LOX family lung cancer prognostic model to forecast the disease's prognosis. Our findings revealed that LOXL2 had the highest mutation frequency in tumors, while all four LOX family genes experienced some degree of copy number variation in diverse tumors. We observed that LOX, LOXL1 to LOXL3 were predominantly highly expressed in tumors including LUAD. The expression trends of LOX and LOXL1 to LOXL3 were consistent across tumor cell lines, but differed somewhat from LOXL4. Utilizing 25 LOX family-related genes, we constructed a LOX family prognostic model that performed well in predicting the prognosis of lung cancer. Through pan-cancer analysis, we gain further knowledge of the role of LOX family genes in different tumors, offering a novel pathway for future research into the relationship between LOX family genes and tumors.

Comprehensive Analysis of the Immune and Prognostic Implication of MMP14 in Lung Cancer.

More and more studies have indicated an association between immune infiltration in lung cancer and clinical outcomes. Matrix metalloproteinase 14 (MMP14) has been reported to be dysregulated in many types of tumors and involved in the development and progression of tumors. However, its contribution to cancer immunity was rarely reported. In the study, we found that MMP14 expression was distinctly upregulated in lung cancer specimens compared with nontumor lung specimens. High MMP14 expression predicted a poor prognosis of lung squamous cell carcinoma (LUSC) patients. Increased MMP14 expressions were observed to be positively related to high immune infiltration levels in most of the immune cells. A pathway enrichment analysis of 32 MMP14-associated immunomodulators indicated the involvement of T cell receptor signaling pathway and Toll-like receptor signaling pathway. Based on MMP14-associated immunomodulators, we applied multivariate assays to construct multiple-gene risk prediction signatures. We observed that risk scores were independently associated with overall survival. These data highlighted that MMP14 was involved in tumor immunity, indicating that MMP14 could serve as a novel prognostic biomarker and therapeutic target for lung cancer. Our data suggest that the four genes identified in this study may serve as valuable biomarkers of lung cancer patient outcomes.

ß-arrestin1 over-expression is associated with an unfavorable prognosis in lung adenocarcinomas and correlated with vascular endothelial growth factor.

The aim of this study was to examine ß-arrestin1 expression in patients with lung adenocarcinoma (ADC) and explore the relationship of ß-arrestin1 protein with clinicopathologic factors, vascular endothelial growth factor (VEGF) and prognosis. A total of 105 surgically resected lung adenocarcinoma patients were recruited for the study. The expression of ß-arrestin1 and VEGF were determined by immunohistochemistry (IHC). The score measuring the ß-arrestin1 and VEGF were calculated by combining the percentage of positive cells and the intensity of staining. Kaplan-Meier method and multivariable Cox proportional hazards regression analyses were used to examine the relationship between ß-arrestin1 and survival. The results demonstrated that a notably higher level of ß-arrestin1 expression was found in lung ADC tissues. We also found that an elevated nuclear Β-arrestin1 correlates with higher intratumoral VEGF (P = 0.007). ß-arrestin 1 over-expression indicated a poor 5-year overall survival (P = 0.016), and the Cox regression model confirmed that ß-arrestin1 over-expression were independent prognostic factor for tumor progression (P = 0.027) and unfavorable overall survival (P = 0.015). We conclude that ß-arrestin1 had a high expression in ADC and ß-arrestin1 may be a promising biomarker to identify individuals with poor prognosis for patients with ADC.

Evaluation of Prognostic Nutritional Index in Patients Undergoing Radical Surgery with Nonsmall Cell Lung Cancer.

The prognostic nutritional index (PNI) has been reported to be a prognostic indicator in some malignant tumors. However, its prognostic value in nonsmall cell lung cancer (NSCLC) has not been fully investigated. A retrospective review of 1416 patients with NSCLC who underwent radical surgery between January 2006 and December 2011 was conducted. To obtain optimal cutoff levels of PNI, running log-rank statistics was applied. Survival was calculated by the Kaplan-Meier method. The prognostic significance of PNI, together with various clinicopathological factors, was evaluated by multivariate analysis. The optimal cutoff point for PNI was 52. The 1-, 3-, and 5-yr survival rates in patients with PNI of less than 52 were 80.0%, 61.3%, and 50.4%, respectively, and were significantly more unfavorable than those in patients with PNI 52 or higher (84.7%, 71.5%, and 60.3%, respectively, P < 0.001). Multivariate analysis suggested that gender (P = 0.026), age (P < 0.001), PNI (P = 0.005), differentiation (P = 0.024), pathology T category (P = 0.003), and pathology N category (P < 0.001) were revealed to be independent prognostic factors. Our results indicate that PNI is an independent predictor of survival for patients undergoing radical surgery with NSCLC.

Intratumoral neutrophil granulocytes contribute to epithelial-mesenchymal transition in lung adenocarcinoma cells.

We previously demonstrated that haemoptysis as a prognostic factor in lung adenocarcinoma and haemoptysis was associated with severe vascular invasion and high circulating white blood cell count. Epithelial-mesenchymal transition (EMT) plays an important role in tumor invasion. We hypothesized there was some relationship between tumor-associated inflammatory cells, tumor invasion, EMT, and haemoptysis. Immunohistochemistry (IHC) was used to detect CD66b and E-cadherin expression in tumor tissue. By co-culture tumor cells with polymorphonuclear neutrophils (PMNs), the expressions of EMT markers were assessed by western blotting. TGF-ß1 concentrations in the supernatant and the migration activities of tumor cells were performed by ELISA and migration assays. Intratumoral CD66b(+) PMN expression was negatively associated with E-cadherin expression. Haemoptysis was significantly associated with neutrophil infiltration (OR = 4.25, 95 % CI 1.246-14.502). Neutrophils promoted EMT of tumor cells in vitro and enhanced the migration activity of tumor cells. In addition, TGF-ß1 was up-regulated and Smad4 translocated into nucleus, indicating that TGF-ß/Smad signaling pathway was initiated during the process. We indicated that lung adenocarcinoma with haemoptysis was associated with more PMN infiltration and PMNs promoted EMT, partly via TGF-ß/Smad signal pathway. This may provide mechanistic reasons for why haemoptysis was associated with poor outcome in lung adenocarcinoma.

Prognostic impact of elevation of vascular endothelial growth factor family expression in patients with non-small cell lung cancer: an updated meta-analysis.

BACKGROUND: The vascular endothelial growth factor family has been implicated in tumorigenesis and metastasis. The prognostic value of each vascular endothelial growth factor family member, particular VEGF/ VEGFR co-expression, in patients with non-small lung cancer remains controversial. MATERIALS AND METHODS: Relevant literature was identified by searching PubMed, EMBASE and Web of Science. Studies evaluating expression of VEGFs and/or VEGFRs by immunohistochemistry or ELISA in lung cancer tissue were eligible for inclusion. Hazard ratios (HRs) and 95% confidence intervals (CIs) from individual study were pooled by using a fixed- or random-effect model, heterogeneity and publication bias analyses were also performed. RESULTS: 74 studies covering 7,631 patients were included in the meta-analysis. Regarding pro-angiogenesis factors, the expression of VEGFA (HR=1.633, 95%CI: 1.490-1.791) and VEGFR1 (HR=1.924, 95%CI: 1.220-3.034) was associated separately with poor survival. Especially, VEGFA over-expression was an independent prognostic factor in adenocarcinoma (ADC) (HR=1.775, 95%CI: 1.384-2.275) and SCC (HR=2.919, 95%CI: 2.060-4.137). Co-expression of VEGFA/VEGFR2 (HR=2.011, 95%CI: 1.405-2.876) was also significantly associated with worse survival. For lymphangiogenesis factors, the expression of VEGFC (HR=1.611, 95%CI: 1.407-1.844) predicted a poor prognosis. Co-expression of VEGFC/VEGFR3 (HR=2.436, 95%CI: 1.468-4.043) emerged as a preferable prognostic marker. CONCLUSIONS: The expression of VEGFA (particularly in SCC and early stage NSCLC), VEGFC, VEGFR1 indicates separately an unfavorable prognosis in patients with NSCLC. Co-expression VEGFA/ VEGFR2 is comparable with VEGFC/VEGFR3, both featuring sufficient discrimination value as preferable as prognostic biologic markers.

The analysis of microRNA-34 family expression in human cancer studies comparing cancer tissues with corresponding pericarcinous tissues.

Recently many studies have focused on the microRNA-34 (miR-34) family expression in various cancers; nevertheless, the controversial results of these studies still exist in identifying miR-34 members as new biomarkers of cancers. Therefore, we carried out this comprehensive meta-analysis of published studies that compared the miR-34 family expression profiles between cancer tissues and paired neighboring noncancerous tissues to systemically evaluate the findings globally and address the inconsistencies of pertinent literatures. The data included in this article were collected from Embase, PubMed and Web of Science up to December 2013. To overcome the difficulties that many raw data were unavailable and study methods were different, a vote-counting strategy was adopted to identify consistent markers in our analysis. Ultimately, a total of 23 cancers were reported in the 61 eligible studies, of which 46 studies provided fold-change value information. In the consistently reported cancer types, non-small cell lung cancer (NSCLC), glioma and nasopharyngeal carcinoma (NPC) ranked at the top with down-regulated feature. Cervical neoplasm was consistently reported to be over-expressed in the panel of each member of miR-34s. Subgroup analysis of miR-34 family expression demonstrated that colorectal cancer (CRC), gastric cancer (GC), hepatocellular carcinoma (HCC) and prostate cancer (PCa) were most frequently reported with inconsistent regulations. Our meta-analysis showed that miR-34 family members could be expected to become potential diagnostic and prognostic biomarkers in some types of human cancers. Further well-designed and larger sample studies are surely warranted to identify the role of the miR-34 family in the occurrence and development of tumors.

Forced vital capacity predicts long-term survival for curative-resected NSCLC.

We conducted a retrospective study in patients with non-small cell lung cancer (NSCLC) who underwent curative lung resection to seek for better lung function parameters associated with long-term survival after lung resection. From January 2006 to December 2008, 470 patients who underwent lung resection with a postoperative diagnosis of NSCLC were studied. Median survival time was 60 months. Patients with pulmonary function values <80 % of predicted were defined as lung function impairment. Patients with impaired vital capacity, maximal voluntary ventilation, forced vital capacity (FVC), forced expiratory volume in one second (FEV1) or diffusion capacity for carbon monoxide (DLCO) had significant shorter overall survival time (P = 0.024; P = 0.026; P < 0.001; P = 0.027; P = 0.007). In univariate analysis, VC, FVC, FEV1 and DLCO were found to have significant effect on overall survival. In multivariate analysis, FVC (HR, 2.029; 95 % CI 1.126-3.659; P = 0.019) was found to be an independent prognostic predictor of long-term overall survival. For cancer-specific survival, FVC (HR 2.404; 95 % CI 1.300-4.445; P = 0.005) was also found to be an independent prognostic predictor in multivariable analysis. Preoperative FVC, rather than FEV1 or DLCO, is an independent prognostic predictor for long-term survival. FVC is not only an indicator of lung function but also of great value for surgeons to predict survival after lung resection.