Serum high-density lipoprotein level and prognosis of ovarian cancer.

This study aimed to investigate the prognostic value of serum high-density lipoprotein (HDL) level in patients with ovarian cancer. This study enrolled 152 patients diagnosed with ovarian cancer and 119 patients with benign ovarian tumors. The associations of patient characteristics and disease with survival were determined using Cox regression analysis, t tests, analysis of variance for multiple-group comparisons, and chi-square tests.

Prognostic role of multidrug resistance-associated protein 1 expression and platelet count in operable non-small cell lung cancer.

The overall survival rate of patients with non-small cell lung cancer (NSCLC) following resection remains poor due to the high rates of recurrence and metastasis. The investigation of novel biomarkers is clinically necessary to improve treatment strategies. Multidrug resistance-associated protein 1 (MRP1) and platelet count are linked to a poor prognosis in various types of cancer.

Significance of Methylation of FBP1 Gene in Non-Small Cell Lung Cancer.

Because NSCLC has poor overall prognosis and is frequently diagnosed at later stage, we aimed to seek novel diagnosis biomarkers or therapy target of the disease in this study. Fructose-1,6-bisphosphatase 1 (FBP1) is a rate-limiting enzyme in gluconeogenesis, which was usually lost in NSCLC due to abnormal methylation in promoter DNA sequence. The clinical data indicated that the methylation rate in FBP1 gene promoter was negatively related to the overall survival of the NSCLC patients.

Therapy Effects of Wogonin on Ovarian Cancer Cells.

Background: Wogonin is a plant monoflavonoid and has been reported to induce apoptosis of cancer cells and show inhibitory effect on cancer cell growth. However, the detailed and underlying molecular mechanisms are not elucidated. In this study, we investigated the molecular and biological effects of wogonin in human ovarian A2780 cancer cells.

Prognostic value of Transglutaminase 2 in non-small cell lung cancer patients.

Transglutaminase 2 (TG2) plays important roles in cell survival and cancer progression. In this study, we examined TG2 expression in specimen of 194 patients diagnosed with non-small cell lung cancer (NSCLC), and found that the TG2 gene expression was significantly higher in lung cancer tissues as compared to paired incisal marginal tissues or normal tissues. Our data revealed that patients with lower level of TG2 expression detected in cancer tissues had longer disease free survival and overall survival as compared to the patients with higher TG2 expression.

Transglutaminase 2 Inhibitor KCC009 Induces p53-Independent Radiosensitization in Lung Adenocarcinoma Cells.

BACKGROUND The expression of transglutaminase 2 (TG2) is correlated to DNA damage repair and apoptosis through the p53 pathway. The present study aimed to investigate the potential radiosensitization effect and possible mechanisms of the TG2 inhibitor KCC009 in lung cancer in vitro. MATERIAL AND METHODS A single hit multi-target model was used to plot survival curves and to calculate the sensitizing enhancement ratios in lung cancer wild-type or mutant p53 of H1299 cells.

Correlation of neuroendocrine features with prognosis of non-small cell lung cancer.

The improvement in histological diagnostic tools, including neuroendocrine markers by immunohistochemistry (IHC), has led to increased recognition of non-small cell lung cancer (NSCLC) with neuroendocrine (NE) feature. However, little is known regarding the prevalence and clinical implications of NE feature in patients with NSCLC. In this study, we performed IHC in a tissue microarray containing 451 Chinese NSCLC cases, and analyzed correlation of the expression of neuroendocrine marker with pathological and clinical features of NSCLC.

Establishment and Characterization of a CD20-Positive NK/T-Cell Lymphoma Cell Line.

Background: CD20 positive NK/T-cell lymphoma is extremely rare and difficult for clinical treatment. Due to the lack of an established cell model for this disease, less is known about its biological characterization and potential therapeutic options.

Methods: A cell line of NK/T-cell lymphoma, which was enriched by magnetic sorting with proper cell surface markers (CD56) from peripheral blood mononuclear cells (PBMCs) drawn from a 21-year-old male patient with nasal angiocentric NK/T-cell lymphoma, was designated as ZQNK-29.

Enhanced expression of cohesin loading factor NIPBL confers poor prognosis and chemotherapy resistance in non-small cell lung cancer.

Background: NIPBL, the sister chromatid cohesion 2 (SCC2) human homolog, is a cohesin loading factor which is essential for deposition of cohesin onto the sister chromatid. Recent studies have shown that NIPBL contribute to sister chromatid cohesion and plays a critical role in development, DNA repair, and gene regulation. In this study, we measured the expression of NIPBL in clinical non-small cell lung cancer specimens, and determined its effects on cellular processes and chemosensitivity in vitro.

Down Expression of FBP1 Is a Negative Prognostic Factor for Non-Small-Cell Lung Cancer.

Downregulation of fructose-1,6-bisphosphatse-1 (FBP1) was observed in several cancers but its role in the lung cancer still remains unknown. We examined the cancer tissues from 140 patients with nonsmall cell lung cancer patients and found that the relative gene expression of FBP1 was significantly lower in lung cancer tissues as compared to incisal marginal tissues and normal tissues. The patients with higher level of FBP1 RNA expression have significantly longer disease free survival and overall survival as compared to the lower expression groups.

Effect of adjuvant magnetic fields in radiotherapy on non-small-cell lung cancer cells in vitro.

Objectives: To explore sensitization and possible mechanisms of adjuvant magnetic fields (MFs) in radiotherapy (RT) of non-small-cell lung cancer.

Methods: Human A549 lung adenocarcinoma cells were treated with MF, RT, and combined MF-RT. Colony-forming efficiency was calculated, cell cycle and apoptosis were measured, and changes in cell cycle- and apoptosis-related gene expression were measured by microarray.

[Expression of a protein peak(3144 m/z) in serum and its clinical significance in patients with gastric cancer].

Objective: To investigate the expression of protein peak (3144 m/z) in serum and of its association with clinical pathological characteristics and prognosis in patients with gastric cancer.

Methods: Three hundred and twenty seven pathologically confirmed gastric cancer patients were recruited from February 2006 to October 2008 in the Zhejiang Cancer Hospital. SELDI-TOF-MS was employed to detect the expression of protein peak (3144 m/z) in preoperative serum.

Identification and chromosomal localizations of signal transduction genes associated with human ovarian cancer metastasis.

Gene chip technology can be used to identify and localize signal transduction genes associated with metastasis. We used the human genome U133A gene chip to detect differences in gene expression profiles among high (H) and low (L) metastatic human ovarian cancer cell lines (HO-8910PM, HO-8910), and normal ovarian tissues (C), to identify metastasis-associated signal transduction genes and determine their chromosomal localizations. A total of 37 signal transduction genes showed more than twofold differences in expression levels between the H and L metastatic ovarian cancer cell lines; of these, 21 genes were up-regulated [signal log ratio (SLR)≥1], and 16 genes were down-regulated (SLR≤-1).

[Clinicopathologic and prognostic significance of serum levels of cytokines in patients with advanced serous ovarian cancer prior to surgery].

Objective: To study the clinicopathologic and prognostic significance of serum levels of six cytokines (IFN-γ, TNF-α, IL-10, IL-5, IL-4, IL-2) in patients with advanced serous ovarian cancer prior to surgery.

Methods: The serum levels of six cytokines were detected in 51 patients with advanced serous ovarian cancer and 46 healthy controls, using cytometric bead arrays.

Results: The serum levels of IFN-γ (20.

[Use of serum protein profiling for early diagnosis of gastric cancer].

Objectives: To identify serum biomarkers associated with early gastric cancer.

Methods: Serum proteins or peptides were purified with weak cation exchange magnetic beads in 433 patients with gastric cancer and 120 healthy subjects. Distinct peaks were selected using Biomarker Wizard software.

[Study of the metastasis-associated genes and its copy numbers variation in highly metastatic epithelial ovarian cancer].

Objective: To investigate the relationship of the metastasis-associated genes and its copy numbers variation in the highly metastatic human epithelial ovarian cancer cell line HO-8910PM.

Methods: The differentially expressed genes and its copy number variation between HO-8910PM cell line and normal ovarian tissues was detected by human genome U133A 2.0 gene chip and human mapping 10K array 2.

Screening of the metastasis-associated genes by gene chip in high metastatic human ovarian cancer cell lines.

Affymetrix U133A oligonucleotide microarrays were used to study the differences of gene expressions between high (H) metastatic ovarian cancer cell line, HO-8910PM, and normal ovarian tissues (C), bioinformatics was used to identify their chromosomal localizations. A total of 1,237 genes were found to have a difference in expression levels more than eight times. Among them 597 were upregulated (Signal Log Ratio[SLR] > or = 3), and 640 genes were downregulated (SLR< or =-3).

Identification of differentially expressed genes in the high and low metastatic human ovarian cancer cell lines and analyses of their chromosomal localizations and functions.

Oligonucleotide microarrays were used to study the differences of gene expressions in high (H) and low (L) metastatic ovarian cancer cell lines and in normal ovarian tissues (C). Bioinformatics was used to identify novel genes and their functions as well as chromosomal localizations. A total of 409 genes were differentially expressed between the high and low metastatic ovarian cancer cell lines.

[Screening of carcinogenesis associated genes in gastric carcinoma by gene chip].

Objective: To screen the carcinogenesis associated genes in gastric carcinoma by gene chip.

Methods: U133A (Affymetrix Santa Clara, CA) gene chip was used to detect differentially expressed genes in tumor tissues, paratumor mucosa and normal mucosa. Bioinformatics was used to analyze the screened results.

Function and chromosome location of differentially expressed genes in gastric cancer.

Using Affymetrix U133A oligonucleotide microarrays, screening was done for genes that were differentially expressed in gastric cancer (T) and normal gastric mucosa (C), and their chromosome location was characterized by bioinformatics. A total of 270 genes were found to have a difference in expression levels of more than eight times. Of them 157 were up-regulated (Signal Log Ratio [SLR] > or = 3), and 113 were down-regulated (SLR< or = -3).

[Study on gene expression profile difference in gastric cancer, pericancerous mucosa and normal gastric mucosa from the distant cutting margin by oligonucleotide microarray].

Objective: To study the difference of gene expression profiles in gastric cancer (T), pericancerous mucosa (P) and the gastric mucosa from distant cutting margin (C), and to screen an associated novel gene in early gastric carcinogenesis by oligonucleotide microarray.

Methods: U133A (Affymetrix, Santa Clara, CA) gene chip was used to detect the gene expression profile difference in T, P and C, respectively. Bioinformatics was used to analyze the detected results.

Gene expression profile differences in gastric cancer, pericancerous epithelium and normal gastric mucosa by gene chip.

Aim: To study the difference of gene expression in gastric cancer (T), pericancerous epithelium (P) and normal tissue of gastric mucosa (C), and to screen an associated novel gene in early gastric carcinogenesis by oligonucleotide microarray.

Methods: U133A (Affymetrix, Santa Clara, CA) gene chip was used to detect the gene expression profile difference in T, P and C, respectively. Bioinformatics was used to analyze the detected results.