DARS-AS1 modulates cell proliferation and migration of gastric cancer cells by regulating miR-330-3p/NAT10 axis.

The long noncoding RNA DARS-AS1 was aberrantly expressed and participated in several human cancer progressions, whereas whether DARS-AS1 is involved in human gastric cancer remains unclear. This study aimed to investigate the influence of DARS-AS1 on gastric cancer progression and explore the potential regulatory network of DARS-AS1/miR-330-3p/NAT10. The expression levels of DARS-AS1, miR-330-3p, and NAT10 were measured by quantitative real-time polymerase chain reaction. The CCK-8 assay and Transwell assay were used to determine the cell viability, migration, and invasion capacities, respectively. The target association between miR-330-3p and DARS-AS1 or NAT10 was confirmed using a luciferase reporter assay. In result, DARS-AS1 levels were elevated in tumor tissues and associated with shorter overall survival in patients with gastric cancer. Knockdown of DARS-AS1 could hamper cell viability, migration, and invasion in gastric cancer cells. DARS-AS1 acts as a competitive endogenous RNA to regulate the NAT10 expression by sponging miR-330-3p in gastric cancer cells. In conclusion, DARS-AS1 was elevated in gastric cancer, and DARS-AS1/miR-330-3p/NAT10 signaling offered some new horizons for predicting prognosis and a novel therapeutic method for the treatment of gastric cancer.

Overexpression of miR-939-3p predicts poor prognosis and promotes progression in lung cancer.

BACKGROUND: Lung cancer is the main cancer-related deaths worldwide. In this study, we explored the clinical prognostic significance and functional role of miR-939-3p in lung cancer. METHODS: We analyzed the expression of miR-939-3p in lung cancer tissues and cells by qRT-PCR. The prognostic significance of miR-939-3p was investigated using the Kaplan-Meier survival and Cox regression analyses. The CCK-8 assay was used to determine the role of miR-939-3p in cell proliferation. Transwell assays were used to determine the effects of miR-939-3p on cell migration and invasion abilities. RESULTS: The expression of miR-939-3p was upregulated in cancer tissues and cell lines compared with adjacent normal tissues and normal cells, respectively. The upregulated miR-939-3p was significantly associated with lymph node metastasis, TNM stage and poor prognosis of lung cancer patients. After the transfection of miR-939 mimic, overexpression of miR-939-3p promoted lung cancer cell proliferation, migration, and invasion. CONCLUSION: These findings suggested that miR-939-3p acts as an oncogene and promotes cell proliferation, migration, and invasion in lung cancer. miR-939-3p may be a potential independent prognostic biomarker in lung cancer.

Cytokine-Induced Killer Cells Modulates Resistance to Cisplatin in the A549/DDP Cell Line.

Background Cytokine-induced killer (CIK) cells can potentially enhance the tumor-killing activity of chemotherapy. Objective This study aimed to evaluate the effects of CIK cells on cisplatin (DDP) resistance in the human lung adenocarcinoma cell line A549/DDP. Methods The detect resistance index, drug resistance related-genes and cytokine secretion of A549/DDP co-cultured with CIK cells were assayed in vitro. Results After A549/DDP co-culture with CIK cells, the DDP resistance of A549/DDP significantly decreased in a time-dependent manner. The DDP resistance of A549/DDP co-cultured with CIK cells for 20 h decreased 4.93-fold compared with that of A549/DDP cells cultured alone (P<0.05). The mRNA and protein expression levels of the glutathione-S-transferase (GST) -π gene in A549/DDP significantly decreased after co-culture with CIK cells (P<0.05). The secretion of interferon (IFN)- γ significantly increased along with the co-culture time of A549/DDP with CIK cells. The expression of GST-π was restored by adding the neutralizing IFN-γ. Conclusion CIK cells can reverse the drug resistance of A549/DDP in a time-dependent manner by reducing GST-π expression to increase the accumulation of DDP. The effect of CIK cells on re-sensitizing lung cancer cells to the chemotherapy drug was partially dependent on the secretion of IFN-γ.

High p53 and MAP1 light chain 3A co-expression predicts poor prognosis in patients with esophageal squamous cell carcinoma.

p53 and microtubule-associated protein 1 light chain 3A (LC3A) are regulators of apoptosis and autophagy and are expressed at high levels in a number of human tumors. The purpose of the current study was to evaluate the clinicopathological and prognostic significance of p53 and LC3A expression levels in esophageal squamous cell carcinomas (ESCCs). p53 and LC3A expression levels were measured by immunohistochemistry in 114 patients with stage II/III (Tany N+M0 or T3,4 Nany M0) ESCCs treated with surgery followed by adjuvant concurrent chemoradiotherapy. The overexpression of p53 and LC3A was observed in 57 and 54% of ESCC samples, respectively. p53 staining was nuclear and LC3A was localized to the cytoplasm of tumor cells. p53 overexpression was more frequently observed in ESCCs with positive lymph nodes (P=0.017). Patients with ESCCs overexpressing p53 and LC3A were associated with a lower 5­year overall survival rate than those with low p53 and LC3A expression (18.0 vs. 54.4%; P=0.001). Univariate and multivariate analyses revealed that the overexpression of p53 or LC3A was not associated with poor patient outcome (P>0.05). However, patients with high levels of p53 and LC3A co-expression had poor clinical prognoses (P=0.027). Thus, p53 and LC3A co-expression is an independent prognostic marker for patients with ESCC.

Autologous cytokine-induced killer cell immunotherapy in lung cancer: a phase II clinical study.

OBJECTIVE: Cytokine-induced killer (CIK) cells have the ability to kill tumor in vitro and in vivo. This study was designed to evaluate the clinical efficacy of CIK cell immunotherapy following regular chemotherapy in patients with non-small cell lung cancer (NSCLC) after surgery. METHODS: A paired study, with 87 stage I-IV NSCLC patients in each group, was performed. Patients received either chemotherapy (arm 2) or chemotherapy in combination with autologous CIK cell immunotherapy (arm 1). Progression-free survival (PFS) and overall survival (OS) were evaluated. RESULTS: Of the 87 paired patients, 50 had early-stage disease (stage I-IIIA) and 37 had advanced-stage disease (stage IIIB-IV). Among early-stage patients, the distribution of 3-year PFS rate and median PFS time showed no statistical difference between the two groups (p = 0.259 and 0.093, respectively); however, the 3-year OS rate and median OS time in arm 1 were significantly higher than those in arm 2 (82 vs. 66 %; p = 0.049 and 73 vs. 53 months; p = 0.006, respectively). Among the advanced-stage patients, the 3-year PFS and OS rates of arm 1 were significantly higher than those of arm 2 (6 vs. 3 %; p < 0.001 and 31 vs. 3 %; p < 0.001, respectively); the median PFS and OS times in arm 1 were also significantly longer than those in arm 2 (13 vs. 6 months; p = 0.001 and 24 vs. 10 months; p < 0.001, respectively). Multivariate analyses indicated that the frequency of CIK cell immunotherapy was significantly associated with prolonged PFS (HR = 0.91; 95 % CI 0.85-0.98; p = 0.012) and OS (HR = 0.83; 95 % CI, 0.74-0.93; p = 0.001) in the arm 1. CONCLUSIONS: The data suggested that CIK cell immunotherapy could improve the efficacy of conventional chemotherapy in NSCLC patients, and increased frequency of CIK cell treatment could further enhance the beneficial effects. A multi-center randomized trial is being carried out in our hospital to further validate these findings.

An experimental study on the biomechanical properties of the cancellous bones of distal femur.

OBJECTIVE: To study the comprehensive biomechanical properties of the cancellous bone of distal femur through a series of mechanical tests, and provide relevant subjects with the basic technical data. BACKGROUND: The study on bone mechanics is a commonly used approach to evaluate the biomechanical competency of bone. The biomechanical properties of bone have come to be the precondition of the further research of these relevant clinical subjects. METHOD: In this paper, comprehensive items of mechanical properties of the cancellous bones of distal femur were conducted, and many valuable test results were obtained through a series of mechanical tests, which comprised tensile test, compression test, torsion test, shear test, bending test and impact test. The specimens were extracted from the normal corpses of Chinese donors died from acute head injury. As another key problem in this kind of experiment, the sampling and fixing method of cancellous bones specimens was developed and optimized in this research. RESULT: A series of the experimental data of mechanical properties of cancellous bones were obtained in the tests, these experimental data include tensile strength, compression strength, yield tensile strength, modulus of elasticity, torsion strength, shear strength, torsion modulus, bending strength, yield shear limit and impact toughness, which can reflect the complex mechanical competency of bone, being of great value and practice in clinic and further research on cancellous bones. The mechanical properties of the cancellous bones of distal femur were analyzed and discussed. CONCLUSION: The biomechanical properties of the cancellous bones have a close relationship with individual difference. Comprehensive items of the mechanical properties of the bone can evaluate the mechanical performance of the bone better, and can provide more valuable data to relevant research.

Hidden Markov model analysis of motifs in interleukins and haematopoietic growth factor family.

Haematopoietic cytokines are important in the regulation of haematopoiesis and immune responses, and they can also influence lymphocyte development. Hundreds of members of several different cytokines families have been discovered by some different methods. But fast evolution rate and low similarity of cytokines prevent identifing novel members of a cytokine family completely with classical tools such as BLAST. Here hidden markov model algorithm is performed on Haematopoietic cytokines and inerleukin 10 (IL10) related family, and two motifs are discovered. Then, three famous protein sequence databases(SwissProt, IPI and Nr) were scanned using each motif respectively, which leaded to evaluate the relation between motif and every sequence of database including some unknown proteins or some ambiguous function proteins of known families. Furthermore, the biology features were compared to filter novel members of cytokines. As a result, four proteins are predicted to be the cytokine candidates.

Proteomic analysis on structural proteins of Severe Acute Respiratory Syndrome coronavirus.

Recently, a new coronavirus was isolated from the lung tissue of autopsy sample and nasal/throat swabs of the patients with Severe Acute Respiratory Syndrome (SARS) and the causative association with SARS was determined. To reveal further the characteristics of the virus and to provide insight about the molecular mechanism of SARS etiology, a proteomic strategy was utilized to identify the structural proteins of SARS coronavirus (SARS-CoV) isolated from Vero E6 cells infected with the BJ-01 strain of the virus. At first, Western blotting with the convalescent sera from SARS patients demonstrated that there were various structural proteins of SARS-CoV in the cultured supernatant of virus infected-Vero E6 cells and that nucleocaspid (N) protein had a prominent immunogenicity to the convalescent sera from the patients with SARS, while the immune response of spike (S) protein probably binding with membrane (M) glycoprotein was much weaker. Then, sodium dodecyl sulfate-polyacrylamide gel electrophoresis (SDS-PAGE) was used to separate the complex protein constituents, and the strategy of continuous slicing from loading well to the bottom of the gels was utilized to search thoroughly the structural proteins of the virus. The proteins in sliced slots were trypsinized in-gel and identified by mass spectrometry. Three structural proteins named S, N and M proteins of SARS-CoV were uncovered with the sequence coverage of 38.9, 93.1 and 28.1% respectively. Glycosylation modification in S protein was also analyzed and four glycosylation sites were discovered by comparing the mass spectra before and after deglycosylation of the peptides with PNGase F digestion. Matrix-assisted laser desorption/ionization-mass spectrometry determination showed that relative molecular weight of intact N protein is 45 929 Da, which is very close to its theoretically calculated molecular weight 45 935 Da based on the amino acid sequence deduced from the genome with the first amino acid methionine at the N-terminus depleted and second, serine, acetylated, indicating that phosphorylation does not happen at all in the predicted phosphorylation sites within infected cells nor in virus particles. Intriguingly, a series of shorter isoforms of N protein was observed by SDS-PAGE and identified by mass spectrometry characterization. For further confirmation of this phenomenon and its related mechanism, recombinant N protein of SARS-CoV was cleaved in vitro by caspase-3 and -6 respectively. The results demonstrated that these shorter isoforms could be the products from cleavage of caspase-3 rather than that of caspase-6. Further, the relationship between the caspase cleavage and the viral infection to the host cell is discussed.

[Gene prediction and function research of SARS-CoV(BJ01)].

Through reading the articles, this study points out the shortage of gene prediction and function research about SARS-CoV, and predict it again for developing effective drugs and future vaccines. Using twelve gene prediction methods to predict coronavirus known genes, we select four better methods including Heuristic models, Gene Identification, ZCURVE_CoV and ORF FINDER to predict SARS-CoV(BJ01), and use ATGpr for analyzing probability of initiation codon and Kozak rule, search transcription regulating sequence(TRS) in order to improve the accuracy of predicted genes. Twenty-one probable new genes with more than 50 amino acids have been obtained excluding 13 ORFs which are similar to the genes of NCBI and relative articles. For predicted proteins, we use ProtParam to analyse physical and chemical features; SignalP to analyse signal peptide; BLAST, FASTA to search similar sequences; TMPred, TMHMM, PFAM and HMMTOP to analyse domain and motif in order to improve reliability of gene function prediction. At the same time, we separate the 21 ORFs into four classes using codition of four gene prediction methods, match score, match expection and match length between predicted gene and Coronavirus known gene. In the end, we discuss the results and analyse the reasons.

[The genome comparison of SARS-CoV and other coronaviruses].

The genome comparison of inter-species and intra-species can give us much information about the origin and evolution of viruses. There are 137 mutation sites in the 17 genomes of SARS-CoV,and the mutation rate is about 8.04 x 10(-3) substitution/site/year. The distribution of the segregating sites is not steady,the most variable region appears in S1 protein,and the nucleotide sequence of RNA-dependent RNA polymerase has very few mutation sites. The substitution bias of nucleotide acids and amino acids indicates the non-random drift products. The comparison of genome structures of SARS-CoV and other coronaviruses shows that SARS-CoV and IBV share the same genome structure. Phylogenetic analyses of conserved genes of coronaviruses indicate that SARS-CoV is a new branch of coronaviruses and appears more close to the group II coronaviruses. Interestingly,SARS-CoV shares some different features with different groups of coronaviruses. Additional analyses show that the first ORFs between S and E genes of some coronaviruses are transmembrane proteins and share the common motif,indicating the possible common ancestor. From the host distribution of different groups of coronaviruses and the phylogeny of s2m,we can deduce that avian is the probable natural host of SARS-CoV.