Comprehensively investigating the expression levels and the prognostic role of transforming growth factor beta-induced (TGFBI) in glioblastoma multiforme.

BACKGROUND: Transforming growth factor beta-induced (TGFBI) protein has been found expressed in several cancer types, and expression levels of TGFBI can affect the cancer patients' outcomes, but the role of TGFBI in glioblastoma multiforme (GBM) remains obscure. METHODS: The TGFBI expression levels in GBM were performed via Gene Expression Profiling Interactive Analysis (GEPIA) and UALCAN databases. Further, the mutations types of TGFBI were analyzed by using the cBioportal dataset. LinkedOmics selected correlated genes, kinases, and microRNA (miRNA) targets of TGFBI. GEPIA conducted the prognostic value of TGFBI and correlated genes. Then, the relationship between TGFBI and immune infiltrates was performed by Tumor Immune Estimation Resource (Timer). We compared the TGFBI protein expression levels in GBM and control samples through the Human Protein Atlas (HPA). Finally, the GSCAlite was used to achieve the drugs, and molecules target the TGFBI and significantly correlated genes. RESULTS: TGFBI is significantly overexpressed in GBM, but the clinical features do not have considerable influence on TGFBI expression levels. Overexpression of TGFBI acts as an adverse biomarker of GBM. The enrichment function of TGFBI showed that the main biological functions, including extracellular matrix (ECM) organization, angiogenesis, leukocyte migration, T cell activation, cell cycle G2/M phase transition, and growth factor binding. About the significant correlated genes, overexpression of mitogen-activated protein kinase 13 (MAPK13) [Log-rank P=0.08 HR (high) =1.4], myosin IG (MYO1G) [Log-rank P=0.06 HR (high) =1.4], plasminogen activator urokinase receptor (PLAUR) [Log-rank P=0.03 HR (high) =1.5], thrombomodulin (THBD) [Log-rank P=0.028 HR (high) =1.5] indicated the poor prognosis of GBM. Further, TGFBI had a significant association with dendritic cell (DC) infiltrates (cor =0.516, P=9.00e-30). The higher the DC infiltration, the shorter survival of GBM. TGFBI protein expression levels were not significantly different in GBM and normal tissue. Finally, TGFBI is associated with resistance to belinostat, LAQ824, CAY10603, CUDC-101, methotrexate, 5-fluorouracil, and navitoclax. CONCLUSIONS: In the present study, we showed TGFBI was overexpressed in GBM, and TGFBI is associated with DC cell infiltrates. Overexpression of TGFBI and high DC infiltration might be an adverse biomarker of GBM. Finally, TGFBI is associated with tumor multi-drug resistance.

[Expression of B7 Family Co-inhibitory Molecules in the Establishment of Pulmonary Regional Immunity].

OBJECTIVE: To identify the temporal-spatial expression of B7 family co-inhibitory molecules during lung development, and to explore the roles of B7 family co-inhibitory molecules in the developmental process of pulmonary regional immunity. METHODS: The expression of B7 family co-inhibitory molecules (B7-1, B7-2, B7-H1, B7-DC) in different developmental stages of Rhesus monkey lungs were normalized and calculated by the reads per kilo-base of transcript per million mapped reads (RPKM) method. Immunohistochemical staining was performed to identify the localization and the protein of B7 family co-inhibitory molecules in different developmental phase (canalicular stage, cystic stage, alveolar stage) in mouse. RESULTS: The expression of B7 family co-inhibitory molecules in rhesus monkey were increased during the prenatal period (cystic stage, alveolar stage), the expressions of B7-2 and B7-H1 mRNA were significantly increased in alveolar stage (P<0.05). The results of immuno-histochemistry indicated that B7 family co-inhibitory molecules were mainly expressed in airway epithelial cells, and their protein levels were increased during the prenatal period. The expressions of B7-2, B7-H1 and B7-DC were significantly increased from canalicular stage (P<0.05). The protein of B7-2 was higher in airway than that in bronchus (P<0.05). CONCLUSIONS: B7 family co-inhibitory molecules are mainly expressed in airway epithelial cells, and the expressions are increased during the prenatal period, which suggests that B7 family co-inhibitory molecules are involved possibly in the development of pulmonary regional immunity.

Advanced colorectal adenoma related gene expression signature may predict prognostic for colorectal cancer patients with adenoma-carcinoma sequence.

BACKGROUND: There are still no absolute parameters predicting progression of adenoma into cancer. The present study aimed to characterize functional differences on the multistep carcinogenetic process from the adenoma-carcinoma sequence. METHODS: All samples were collected and mRNA expression profiling was performed by using Agilent Microarray high-throughput gene-chip technology. Then, the characteristics of mRNA expression profiles of adenoma-carcinoma sequence were described with bioinformatics software, and we analyzed the relationship between gene expression profiles of adenoma-adenocarcinoma sequence and clinical prognosis of colorectal cancer. RESULTS: The mRNA expressions of adenoma-carcinoma sequence were significantly different between high-grade intraepithelial neoplasia group and adenocarcinoma group. The biological process of gene ontology function enrichment analysis on differentially expressed genes between high-grade intraepithelial neoplasia group and adenocarcinoma group showed that genes enriched in the extracellular structure organization, skeletal system development, biological adhesion and itself regulated growth regulation, with the P value after FDR correction of less than 0.05. In addition, IPR-related protein mainly focused on the insulin-like growth factor binding proteins. CONCLUSION: The variable trends of gene expression profiles for adenoma-carcinoma sequence were mainly concentrated in high-grade intraepithelial neoplasia and adenocarcinoma. The differentially expressed genes are significantly correlated between high-grade intraepithelial neoplasia group and adenocarcinoma group. Bioinformatics analysis is an effective way to study the gene expression profiles in the adenoma-carcinoma sequence, and may provide an effective tool to involve colorectal cancer research strategy into colorectal adenoma or advanced adenoma.

[Analyzed the molecular interaction network of tumor suppressor gene 14-3-3 sigma in lung cancer cell based on stable isotope labeling by amino acids in cell culture technology].

OBJECTIVE: To analysis the molecular interaction network of 14-3-3 sigma in non small cell lung cancer (NSCLC) cells. METHODS: Established stable over-expressed 14-3-3 sigma protein PG cells, MTT assay was used to assess the growth rate of PG cells. Though stable isotope labeling by amino acids in cell culture (SILAC) and Mass spectrometry (MS) technology, to identify difference expressed proteins caused by over expressed 14-3-3 sigma. The protein expressed >2 or <0.5 times was termed as the differential protein. By searching Human protein reference database (HPRD) and Kyoto encyclopedia of genes and genomes (KEGG), established the molecular interaction network of tumor suppressor gene 14-3-3 sigma. RESULTS: The growth rate of over-expressed 14-3-3 sigma PG cell was obviously slower down compared to vector PG cells. A database including 147 differential protein was established. And a molecular interaction network of 14-3-3 sigma containing 26 protein was constructed.In this network, the expression of CSNK2A1 (casein kinase II subunit alpha), involved in numerous cellular processes, such as cell cycle progression, apoptosis and transcription, was the most significantly increased. A DNA repair protein, MEN1 (Menin) which functions as a transcriptional regulator was the most significantly decreased. CONCLUSION: After stable transfected with 14-3-3 sigma gene, growth rate of PG cells was inhibited, the proteins associated with cell cycle, DNA damage repair mechanisms were significantly changed, and constructed the molecular interaction network.

An novel role of sphingosine kinase-1 (SPHK1) in the invasion and metastasis of esophageal carcinoma.

BACKGROUND: Treatment failure for esophageal carcinoma is frequently due to lymph node metastasis and invasion to neighboring organs. The aim of the present study was to investigate invasion- and metastasis-related genes in esophageal carcinoma cells in vitro and in vivo. METHODS: A metastasis model using a Matrigel invasion clonal selection approach was employed to establish a highly invasive subline EC9706-P4 from the esophageal carcinoma cell (ESCC) line EC9706. The differentially expressed genes of the subline and the parental cells determined by gene microarrays were further analyzed by RT-PCR and Western blotting. RESULTS: We identified sphingosine kinase 1 (SPHK1) as an invasion and metastasis-related gene of esophageal cancer. SPHK1 was overexpressed in the EC9706-P4 subline with high invasive capacity. Among six ESCC lines tested, KYSE2 and KYSE30 cells showed the highest SPHK1 mRNA and protein expressions as well as the most invasive phenotype. By Western blotting, in 7/12 cases (58%), SPHK1 expression was higher in esophageal carcinomas than in the companion normal tissue. In 23/30 cases (76%), SPHK1 protein expression was upregulated in the tumors compared to matched normal tissue by immunohistochemistry (IHC). Esophageal carcinoma tissue microarray analysis indicated that SPHK1 expression correlated with the depth of tumor invasion (P < 0.0001) and lymph node metastasis (P = 0.016). By Kaplan-Meier analysis, strong SPHK1 expression was significantly associated with clinical failure (P < 0.01), suggesting the involvement of SPHK1 in aggressiveness of human esophageal carcinoma. SPHK1 overexpression significantly increased the invasiveness of EC9706 cells in vitro and also increased EC9706 cell growth and spontaneous metastasis in vivo, promoting significant increases in tumor growth, tumor burden and spontaneous lung metastasis in nude mice. SPHK1 expression significantly correlated with the expression of many EGFR pathway genes associated with invasion of cancer cells. SPHK1 protein expression also significantly correlated with the phosphorylation of EGFR. CONCLUSION: In summary, our data implicate SPHK1 in the metastasis of esophageal cancer. Our study also identified downstream mediators of SPHK1 in esophageal cancer cells that may mediate enhanced malignant behavior, and several of these mediators may be useful as therapeutic targets.