Characterization of alternative splicing events and prognostic signatures in gastric cancer.

BACKGROUND: Accumulating evidences indicate that the specific alternative splicing (AS) events are linked to the occurrence and prognosis of gastric cancer (GC). Nevertheless, the impact of AS is still unclear and needed to further elucidation. METHODS: The expression profile of GC and normal samples were downloaded from TCGA. AS events were achieved from SpliceSeq database. Cox regression together with LASSO analysis were employed to identify survival-associated AS events (SASEs) and calculate risk scores. PPI and pathway enrichment analysis were implemented to determine the function and pathways of these genes. Kaplan-Meier (K-M) analysis and Receiver Operating Characteristic Curves were used to evaluate the clinical significance of genes of SASEs. Q-PCR were applied to validate the hub genes on the survival prognosis in 47 GC samples. Drug sensitivity and immune cell infiltration analysis were conducted. RESULTS: In total, 48 140 AS events in 10 610 genes from 361 GC and 31 normal samples were analyzed. Through univariate Cox regression, 855 SASEs in 763 genes were screened out. Further, these SASEs were analyzed by PPI and 17 hub genes were identified. Meanwhile, using Lasso and multivariate Cox regression analysis, 135 SASEs in 132 genes related to 7 AS forms were further screened and a GC prognostic model was constructed. K-M curves indicates that high-risk group has poorer prognosis. And the nomogram analysis on the basis of the multivariate Cox analysis was disclosed the interrelationships between 7 AS forms and clinical parameters in the model. Five key genes were then screened out by PPI analysis and Differential Expression Gene analysis based on TCGA and Combined-dataset, namely STAT3, RAD51B, SOCS2, POLE2 and TSR1. The expression levels of AS in STAT3, RAD51B, SOCS2, POLE2 and TSR1 were all significantly correlated with survival by qPCR verification. Nineteen drugs were sensitized to high-risk patients and eight immune cells showed significantly different infiltration between the STAD and normal groups. CONCLUSIONS: In this research, the prognostic model constructed by SASEs can be applied to predict the prognosis of GC patients and the selected key genes are expected to become new biomarkers and therapeutical targets for GC treatment.

The dynamic alteration of transcriptional regulation by crucial TFs during tumorigenesis of gastric cancer.

BACKGROUND: The mechanisms of Gastric cancer (GC) initiation and progression are complicated, at least partly owing to the dynamic changes of gene regulation during carcinogenesis. Thus, investigations on the changes in regulatory networks can improve the understanding of cancer development and provide novel insights into the molecular mechanisms of cancer. METHODS: Differential co-expression analysis (DCEA), differential gene regulation network (GRN) modeling and differential regulation analysis (DRA) were integrated to detect differential transcriptional regulation events between gastric normal mucosa and cancer samples based on GSE54129 dataset. Cytological experiments and IHC staining assays were used to validate the dynamic changes of CREB1 regulated targets in different stages. RESULTS: A total of 1955 differentially regulated genes (DRGs) were identified and prioritized in a quantitative way. Among the top 1% DRGs, 14 out of 19 genes have been reported to be GC relevant. The four transcription factors (TFs) among the top 1% DRGs, including CREB1, BPTF, GATA6 and CEBPA, were regarded as crucial TFs relevant to GC progression. The differentially regulated links (DRLs) around the four crucial TFs were then prioritized to generate testable hypotheses on the differential regulation mechanisms of gastric carcinogenesis. To validate the dynamic alterations of gene regulation patterns of crucial TFs during GC progression, we took CREB1 as an example to screen its differentially regulated targets by using cytological and IHC staining assays. Eventually, TCEAL2 and MBNL1 were proved to be differentially regulated by CREB1 during tumorigenesis of gastric cancer. CONCLUSIONS: By combining differential networking information and molecular cell experiments verification, testable hypotheses on the regulation mechanisms of GC around the core TFs and their top ranked DRLs were generated. Since TCEAL2 and MBNL1 have been reported to be potential therapeutic targets in SCLC and breast cancer respectively, their translation values in GC are worthy of further investigation.

ATP5B promotes the metastasis and growth of gastric cancer by activating the FAK/AKT/MMP2 pathway.

Adenosine triphosphate (ATP) in the tumor microenvironment serves a vital role during tumor progression. ATP synthase F1 ß subunit (ATP5B) is one of the most important subunits of ATP synthase and increases cellular ATP levels. ATP5B reportedly participates in carcinogenesis in several tumors. However, the regulatory mechanisms of ATP5B remain poorly understood in gastric cancer (GC). Here, we determined that high ATP5B expression in tumor tissues of GC is positively correlated with age, the tumor size, the TNM stage, lymph node metastasis, and patients' poor prognosis. The overexpression of ATP5B in GC cells elevated the cellular ATP content and promoted migration, invasion and proliferation. The levels of MMP2 expression, phosphorylated FAK, and phosphorylated AKT were increased after ATP5B overexpression in GC cells. Additionally, ATP5B overexpression increased the extracellular ATP level through the secretion of intracellular ATP and activated the FAK/AKT/MMP2 signaling pathway. ATP5B-induced downstream pathway activation was induced through the plasma membrane P2X7 receptor. Inhibitors of P2X7, FAK, AKT, and MMP2 suppressed the proliferative, migratory, and invasive capabilities of GC cells. In conclusion, our experiments indicate that ATP5B contributes to tumor progression of GC via FAK/AKT/MMP2 pathway. ATP5B, therefore, may be a biomarker of poor prognosis and a potential therapeutic target for GC.

Evidence for heightened genetic instability in precancerous spasmolytic polypeptide expressing gastric glands.

BACKGROUND: Spasmolytic polypeptide-expressing metaplasia (SPEM) is present in more than 90% of resected gastric cancer tissues. However, although widely regarded as a pre-cancerous tissue, its genetic characteristics have not been well studied. METHODS: Immunohistochemistry using Trefoil factor 2 (TFF2) antibodies was used to identify TFF2-positive SPEM cells within SPEM glands in the stomach of Helicobacter felis (H. felis) -infected mice and human clinical samples. Laser microdissection was used to isolate specific cells from both the infected mice and the human samples. The genetic instability in these cells was examined by measuring the lengths of microsatellite (MS) markers using capillary electrophoresis. Also, genome-wide genetic variations in the SPEM cells from the clinical sample was examined using deep whole-exome sequencing. RESULTS: SPEM cells indeed exhibit not only heightened MS instability (MSI), but also genetic instabilities that extend genome-wide. Furthermore, surprisingly, we found that morphologically normal, TFF2-negative cells also contain a comparable degree of genomic instabilities as the co-resident SPEM cells within the SPEM glands. CONCLUSION: These results, for the first time, clearly establish elevated genetic instability as a critical property of SPEM glands, which may provide a greater possibility for malignant clone selection. More importantly, these results indicate that SPEM cells may not be the sole origin of carcinogenesis in the stomach and strongly suggest the common progenitor of these cells, the stem cells, as the source of these genetic instabilities, and thus, potential key players in carcinogenesis.

Cathepsin L promotes angiogenesis by regulating the CDP/Cux/VEGF-D pathway in human gastric cancer.

BACKGROUND: Increasing evidence indicates that angiogenesis plays an important role in tumor progression. The function of cathepsin L (CTSL), an endosomal proteolytic enzyme, in promoting tumor metastasis is well recognized. The mechanisms by which CTSL has promoted the angiogenesis of gastric cancer (GC), however, remains unclear. METHODS: The nuclear expression levels of CTSL were assessed in GC samples. The effects of CTSL on GC angiogenesis were determined by endothelial tube formation analysis, HUVEC migration assay, and chick embryo chorioallantoic membrane (CAM) assay. The involvement of the CDP/Cux/VEGF-D pathway was analyzed by angiogenesis antibody array, Western blot, co-immunoprecipitation (Co-IP) and dual-luciferase reporter assay. RESULTS: In this study, we found that the nuclear CTSL expression level in GC was significantly higher than that in adjacent nontumor gastric tissues and was a potential important clinical prognostic factor. Loss- and gain-of-function assays indicated that CTSL promotes the tubular formation and migration of HUVEC cells in vitro. The CAM assay also showed that CTSL promotes angiogenesis of GC in vivo. Mechanistic analysis demonstrated that CTSL can proteolytically process CDP/Cux and produce the physiologically relevant p110 isoform, which stably binds to VEGF-D and promotes the transcription of VEGF-D, thus contributing to the angiogenesis of GC. CONCLUSION: The findings of the present study suggested that CTSL plays a constructive role in the regulation of angiogenesis in human GC and could be a potential therapeutic target for GC.

Prediction of platinum-resistance patients of gastric cancer using bioinformatics.

Lack of guidelines for personalized chemotherapy treatment after surgery has caused gastric cancer (GC) patients' unnecessary exposure to toxicity and the financial burden of chemotherapy treatments. In our study, we aimed to identify potential biomarkers to predict GC patients' susceptibility to platinum-based on Gene Expression Omnibus (GEO) data sets. A total of 603 differentially expressed genes (DEGs) were identified between platinum-resistant cell lines and platinum-sensitive cell lines based on the Cancer Cell Line Encyclopedia (CCLE) data sets. A total of 253 patients who had accepted radical gastrectomy were recruited, of which 97 received platinum-based chemotherapy and 156 were untreated. Three biomarkers (BRMS1, ND6, SRXN1) were then selected by univariate and multivariate Cox regression analysis to establish the predictive models using nomogram. Then this model was further validated through the GEO data set (GSE62254) which showed that this model could precisely predict the disease-free survival and overall survival of patients treated with platinum-based chemotherapy after surgery compared with untreated GC patients (P < 0.0001). This predictive model might provide helpful messages about the patients' susceptibility to platinum to guide personalized chemotherapy.

Oncostatin M receptor, positively regulated by SP1, promotes gastric cancer growth and metastasis upon treatment with Oncostatin M.

BACKGROUND: Oncostatin M receptor (OSMR) is a member of the interleukin 6 (IL-6) receptor family that transduces signaling events of Oncostatin M (OSM). OSM-OSMR signaling plays a key role in inflammation and cancer progression. However, the role of OSM-OSMR in gastric cancer (GC) is still unknown. METHODS: OSMR expression in GC was determined by real-time PCR (RT-PCR), immunohistochemistry (IHC) and Western blot. The effects of OSM-OSMR on GC cell proliferation, migration, invasion, and epithelial-mesenchymal transition (EMT) in vitro and metastasis in vivo were examined. The pathways underlying OSM-OSMR signaling were explored by Western blot. Regulatory mechanism between SP1 and OSMR was explored in vitro. RESULTS: OSMR was highly expressed in GC tissues and its expression level was closely associated with age, T stage, Lauren classification, lymph node metastasis, TNM stage and worse prognosis of patients with GC. Knockdown of OSMR expression in GC cells significantly inhibited cell proliferation, migration, invasion, and EMT in vitro, as well as tumorigenesis and peritoneal metastasis in vivo induced by OSM. These effects mediated by OSM-OSMR were dependent on the activation of STAT3/FAK/Src signaling. SP1 could bind to the promoter region of human OSMR gene from - 255 to - 246 bp, and transcriptionally regulated OSMR overexpression in GC cells. CONCLUSIONS: OSM-OSMR contributes to GC progression through activating STAT3/FAK/Src signaling, and OSMR is transcriptionally activated by SP1.

Functional significance of Hippo/YAP signaling for drug resistance in colorectal cancer.

Colorectal cancer is a leading cause of cancer-related death worldwide. While early stage colorectal cancer can be removed by surgery, patients with advanced disease are treated by chemotherapy, with 5-Fluorouracil (5-FU) as a main ingredient. However, most patients with advanced colorectal cancer eventually succumb to the disease despite some responded initially. Thus, identifying molecular mechanisms responsible for drug resistance will help design novel strategies to treat colorectal cancer. In this study, we analyzed an acquired 5-FU resistant cell line, LoVo-R, and determined that elevated expression of YAP target genes is a major alteration in the 5-FU resistant cells. Hippo/YAP signaling, a pathway essential for cell polarity, is an important regulator for tissue homeostasis, organ size, and stem cells. We demonstrated that knockdown of YAP1 sensitized LoVo-R cells to 5-FU treatment in cultured cells and in mice. The relevance of our studies to colorectal cancer patients is reflected by our discovery that high expression of YAP target genes in the tumor was associated with an increased risk of cancer relapse and poor survival in a larger cohort of colorectal cancer patients who underwent 5-FU-related chemotherapy. Taken together, we demonstrate a critical role of YAP signaling for drug resistance in colorectal cancer.

Identification of Serum Biomarkers for Gastric Cancer Diagnosis Using a Human Proteome Microarray.

We aimed to globally discover serum biomarkers for diagnosis of gastric cancer (GC). GC serum autoantibodies were discovered and validated using serum samples from independent patient cohorts encompassing 1,401 participants divided into three groups, i.e. healthy, GC patients, and GC-related disease group. To discover biomarkers for GC, the human proteome microarray was first applied to screen specific autoantibodies in a total of 87 serum samples from GC patients and healthy controls. Potential biomarkers were identified via a statistical analysis protocol. Targeted protein microarrays with only the potential biomarkers were constructed and used to validate the candidate biomarkers using 914 samples. To provide further validation, the abundance of autoantibodies specific to the biomarker candidates was analyzed using enzyme-linked immunosorbent assays. Receiver operating characteristic curves were generated to evaluate the diagnostic accuracy of the serum biomarkers. Finally, the efficacy of prognosis efficacy of the final four biomarkers was evaluated by analyzing the clinical records. The final panel of biomarkers consisting of COPS2, CTSF, NT5E, and TERF1 provides high diagnostic power, with 95% sensitivity and 92% specificity to differentiate GC patients from healthy individuals. Prognosis analysis showed that the panel could also serve as independent predictors of the overall GC patient survival. The panel of four serum biomarkers (COPS2, CTSF, NT5E, and TERF1) could serve as a noninvasive diagnostic index for GC, and the combination of them could potentially be used as a predictor of the overall GC survival rate.

Systematic identification of arsenic-binding proteins reveals that hexokinase-2 is inhibited by arsenic.

Arsenic is highly effective for treating acute promyelocytic leukemia (APL) and has shown significant promise against many other tumors. However, although its mechanistic effects in APL are established, its broader anticancer mode of action is not understood. In this study, using a human proteome microarray, we identified 360 proteins that specifically bind arsenic. Among the most highly enriched proteins in this set are those in the glycolysis pathway, including the rate-limiting enzyme in glycolysis, hexokinase-1. Detailed biochemical and metabolomics analyses of the highly homologous hexokinase-2 (HK2), which is overexpressed in many cancers, revealed significant inhibition by arsenic. Furthermore, overexpression of HK2 rescued cells from arsenic-induced apoptosis. Our results thus strongly implicate glycolysis, and HK2 in particular, as a key target of arsenic. Moreover, the arsenic-binding proteins identified in this work are expected to serve as a valuable resource for the development of synergistic antitumor therapeutic strategies.

Decreased expression of long non-coding RNA WT1-AS promotes cell proliferation and invasion in gastric cancer.

Tumor recurrence and metastasis remain the major obstacles for the successful treatment of patients diagnosed with gastric cancer. In recent years, long non-coding RNAs (lncRNAs) have been considered as key regulators of tumor behavior. In this study, we investigated the expression and biological role of a newly-identified cancer-related lncRNA, WT1-AS. We found that WT1-AS expression was significantly down-regulated in tumor tissues compared to matched adjacent non-tumor tissues. The WT1-AS expression level was also associated with tumor size and the clinicopathological stage. Cell proliferation, migration, and invasion were inhibited, and the proportion of G0/G1 cells increased when WT1-AS was ectopically-expressed in gastric cancer cells. Furthermore, ectopic expression of WT1-AS was demonstrated to inhibit tumor growth and metastasis in vivo. Finally, we found that WT1-AS overexpression could decrease ERK protein phosphorylation. Our study indicates that WT1-AS is significantly down-regulated in gastric cancers and may be correlated with tumor progression.

Cancer-associated fibroblast-derived Lumican promotes gastric cancer progression via the integrin ß1-FAK signaling pathway.

Gastric cancer (GC) is one of the most frequent malignant tumors worldwide and is associated with high invasiveness, high metastasis and poor prognosis. Cancer-associated fibroblasts (CAFs), residing around tumor cells in tumor stroma, are important modifiers of tumor initiation and progression. However, the molecular mechanisms by which CAF's modulate tumor development have yet not to be characterized in GC. Here we performed tissue assay analyses identifying that Lumican, an extracellular matrix protein, is highly expressed in human gastric CAFs and its expression is positively associated with depth of invasion, lymph node metastasis, TNM stage and poor survival rate of GC. Functional studies revealed that integrin ß1-FAK signaling pathways mediate the promoting effect of Lumican on GC cell proliferation, migration and invasion in vitro. In accordance with these observations, in GC cells co-cultured with CAFs in which Lumican had been knocked down, decreased gastric tumor growth and metastasis in vivo was apparent. In summary, CAF-derived Lumican contributes to tumorigenesis and metastasis of GC by activating the integrin ß1-FAK signaling pathway.

Genome-wide profiling of polyadenylation sites reveals a link between selective polyadenylation and cancer metastasis.

Alternative polyadenylation (APA) is an important post-transcriptional modification implicated in many diseases, including cancer. Although extensively characterized, the functional consequence of APA modulation on tumorigenesis remains elusive. Here, we developed a deep sequencing-based approach that specifically profiles 3' termini of polyadenylated RNAs (herein termed 3T-seq) and analyzed APA events in two gastric cancer cell lines and one non-transformed counterpart. Overall, we identified >28 000 poly(A) sites, 70% of which are potentially novel. Further, we observed widespread APA-mediated 3' UTR shortening of 513 genes (false discovery rate < 0.05) across gastric cancer genome. We characterized one of these genes, NET1, in detail and found that the shortening of NET1 3' UTR significantly enhances transcriptional activity. Moreover, the NET1 isoform with short 3' UTR promotes cellular migration and invasion in vitro. Collectively, our work provides an effective approach for genome-wide APA site profiling and reveals a link between APA modulation and gastric cancer metastasis.

Luteolin suppresses angiogenesis and vasculogenic mimicry formation through inhibiting Notch1-VEGF signaling in gastric cancer.

Gastric cancer is a great threat to the health of the people worldwide and lacks effective therapeutic regimens. Luteolin is one of Chinese herbs and presents in many fruits and green plants. In our previous study, we observed that luteolin inhibited cell migration and promoted cell apoptosis in gastric cancer. In the present study, luteolin significantly inhibited tube formation of human umbilical vein endothelial cells (HUVECs) through decreasing cell migration and proliferation of HUVECs in a dose-dependent manner. Vasculogenic mimicry (VM) tubes formed by gastric cancer cells were also inhibited with luteolin treatment. To explore how luteolin inhibited tubes formation, ELISA assay for VEGF was performed. Both of the VEGF secretion from Hs-746T cells and HUVECs were significantly decreased subsequent to luteolin treatment. In addition, cell migration was increased with the interaction between gastric cancer cells and HUVECs in co-culture assays. However, the promoting effects were abolished subsequent to luteolin treatment. Furthermore, luteolin inhibited VEGF secretion through suppressing Notch1 expression in gastric cancer. Overexpression of Notch1 in gastric cancer cells partially rescued the effects on cell migration, proliferation, HUVECs tube formation, and VM formation induced by luteolin treatment. In conclusion, luteolin inhibits angiogenesis and VM formation in gastric cancer through suppressing VEGF secretion dependent on Notch1 expression.

Luteolin suppresses gastric cancer progression by reversing epithelial-mesenchymal transition via suppression of the Notch signaling pathway.

BACKGROUND: Gastric cancer (GC) is one of the most malignant tumors and the second leading cause of cancer-related deaths in the world. Luteolin, a flavonoid present in many fruits and green plants, suppresses cancer progression. The effects of luteolin on GC cells and their underlying mechanisms remain unclear. METHODS: Effects of luteolin on cell proliferation, migration, invasion, and apoptosis were examined in vitro and in vivo by cell counting kit-8 (CCK-8), transwell assays, and flow cytometry, respectively. Real-time reverse transcription polymerase chain reaction (RT-PCR) and Western blots were performed to evaluate Notch1 signaling and activation of epithelial-mesenchymal transition (EMT) in GC cells treated with or without luteolin. Immunohistochemistry was performed to examine proliferation and Notch1 expression in xenograft tumors. RESULTS: Luteolin significantly inhibited cell proliferation, invasion, and migration in a dose-dependent and time-dependent manner and promoted cell apoptosis. Luteolin reversed EMT by shrinking the cytoskeleton and by inducing the expression of epithelial biomarker E-cadherin and downregulating the mesenchymal biomarkers N-cadherin, vimentin and Snail. Furthermore, Notch1 signaling was inhibited by luteolin, and downregulation of Notch1 had similar effects as luteolin treatment on cell proliferation, migration, and apoptosis. In addition, luteolin suppressed tumor growth in vivo. A higher expression of Notch1 correlated with a poor overall survival and a poor time to first progression. Furthermore, co-immunoprecipitation analysis revealed that activated Notch1 and ß-catenin formed a complex and regulated cell proliferation, migration, and invasion. CONCLUSIONS: In this study, GC progression was inhibited by luteolin through suppressing Notch1 signaling and reversing EMT, suggesting that luteolin may serve as an effective anti-tumor drug in GC treatment.

Characterization of exosomal RNAs derived from human gastric cancer cells by deep sequencing.

Exosomes secreted from the cell to the extracellular environment play an important role in intercellular communication. Next-generation sequencing technology, which has achieved great development recently, allows us to detect more complete data and gain even deeper analyses of RNA transcriptomes. In our research, we extracted exosomes from different gastric cancer cell lines and immortalized normal gastric mucosal epithelial cell line and examined the amounts of exosomal proteins and RNAs. Our data showed that the secreted amount of cancer cell-derived exosomes, which contain proteins and RNAs, was much higher than that of normal cell-derived exosomes. Moreover, next-generation sequencing technology confirmed the presence of small non-coding RNAs in exosomes. Based on publicly available databases, we classified small non-coding RNAs. According to the microRNA profiles of exosomes, hsa-miR-21-5p and hsa-miR-30a-5p were two of the most abundant sequences among all libraries. The expression levels of the two microRNAs, miR-100 and miR-148a, in exosomes were validated through reverse transcription polymerase chain reaction. The reverse transcription polymerase chain reaction result, consistent with the trend of sequencing result, indicated a significant difference in exosomes between gastric cancer and gastric mucosal epithelial cell lines. We also predicted novel microRNA candidates but they need to be validated. This research provided an atlas of small non-coding RNA in exosomes and may make a little contribution to the understanding of exosomal RNA composition and finding parts of differential expression of RNAs in exosomes.

microRNA-29c inhibits cell proliferation by targeting NASP in human gastric cancer.

BACKGROUND: Gastric cancer is one of the most common malignancies worldwide. Recent studies have shown that microRNAs play crucial roles in regulating cellular proliferation process in gastric cancer. MicroRNA-29c (miR-29c) acts as a tumor suppressor in different kinds of tumors. METHODS: Quantitative PCR was performed to evaluate miR-29c expression level in 67 patient gastric cancer tissues and 9 gastric cancer cell lines. The effects of miR-29c were explored by proliferation assay, soft agar colony formation assay, apoptosis and cell cycle analysis using flow cytometry. The target gene was predicted by bioinformatic algorithms and validated by dual luciferase reporter assay and Western blot analysis. RESULTS: In this study, we demonstrate that miR-29c is down-regulated in gastric cancer tissues and cell lines. We indicate that overexpression of miR-29c inhibits cell proliferation, promotes apoptosis and arrests cell cycle at G1/G0 phase. We additionally show that miR-29c exerts these effects by targeting Nuclear autoantigenic sperm protein (NASP). Moreover, depletion of NASP can elite the phenotypes caused by miR-29c. CONCLUSIONS: These data suggest that miR-29c inhibits proliferation in gastric cancer and could potentially serve as an early biomarker and a novel therapy target.

Complex clonal mosaicism within microdissected intestinal metaplastic glands without concurrent gastric cancer.

BACKGROUND: The transformation of healthy gastric tissue into intestinal metaplasia (IM) is thought to be a critical premalignant step in the development of intestinal-type gastric adenocarcinoma (GA). How such premalignancies contribute to the development of GA is, however, poorly understood. METHODS: In this study, the extent and clonal complexity in IM tissue from patients without gastric cancer were analysed by measuring variations of multiple microsatellite (MS) markers. RESULTS: Even though these tissues are generally regarded as clinically benign, we found extensive MS length heterogeneity between and within individual IM glands, indicating that complex genome diversity is already pervasive in these tissues. Based on a clonal relationship analysis, we found that there exist multiple clones within individual IM glands and that MS alterations can accumulate in these clones. Moreover, we found spatially distant IM glands with the same MS phenotype, suggesting that these MS alterations were progressed by gland fission. CONCLUSIONS: These results provide evidence that genetic instability is an early event, present within metaplastic tissues of otherwise non-cancer patients, and such frequent genetic alterations can be part of the pathophysiological rationale for the requirement of this phase during gastric carcinogenesis.

CEACAM6 promotes tumor angiogenesis and vasculogenic mimicry in gastric cancer via FAK signaling.

CEACAM6 is a member of glycosylphosphatidylinositol-linked immunoglobulin superfamily that is implicated in a variety of human cancers. In our previous study, we reported that CEACAM6 was overexpressed in gastric cancer tissues and promoted cancer metastasis. The purpose of this study is to determine the role of CEACAM6 in tumor angiogenesis and mimicry formation. We found that overexpressed CEACAM6 promoted tubule formation dependent on HUVEC cells and vasculogenic mimicry formation of gastric cancer cells; opposing results were achieved in CEACAM6-silenced groups. Moreover, we found that mosaic vessels formed by HUVEC cells and gastric cancer cells were observed in vitro by 3D-culture assay. Overexpressed CEACAM6 in gastric cancer cells promoted tumor growth, VEGF expression and vasculogenic mimicry structures formation in vivo. In accordance with these observations, we found that phosphorylation of FAK and phosphorylation of paxillin were up-regulated in CEACAM6-overexpressing gastric cancer cells, and FAK inhibitor Y15 could reduce tubule and vasculogenic mimicry formation. These findings suggest that CEACAM6 promotes tumor angiogenesis and vasculogenic mimicry formation via FAK signaling in gastric cancer and CEACAM6 may be a new target for cancer anti-vascular treatment.

Identification of a five-lncRNA signature for the diagnosis and prognosis of gastric cancer.

Gastric cancer (GC) is one of the most aggressive malignancies and has a poor prognosis. Identifying novel diagnostic and prognostic markers is of great importance for the management and treatment of GC. Long non-coding RNAs (lncRNAs), which are involved in multiple processes during the development and progression of cancer, may act as potential biomarkers of GC. Here, by performing data mining using four microarray data sets of GC downloaded from the Gene Expression Omnibus (GEO) database with different classifiers and risk score analyses, we identified a five-lncRNA signature (AK001094, AK024171, AK093735, BC003519 and NR_003573) displaying both diagnostic and prognostic values for GC. The results of the Kaplan-Meier survival analysis and log-rank test showed that the risk score based on this five-lncRNA signature was closely associated with overall survival time (p = 0.0001). Further analysis revealed that the risk score is an independent predictor of prognosis. Quantitative reverse transcription polymerase chain reaction (qRT-PCR) analysis of 30 pairs of GC tissue samples confirmed that the five lncRNAs were dysregulated in GC, and receiver operating characteristic (ROC) curves showed the high diagnostic ability of combining the five lncRNAs, with an area under the curve (AUC) of 0.95 ± 0.025. The five lncRNAs involved in several cancer-related pathways were identified using gene set enrichment analysis (GSEA). These findings indicate that the five-lncRNA signature may have a good clinical applicability for determining the diagnosis and predicting the prognosis of GC.