Serum biomarker 3144 m/z for prognostic detection in Chinese postmenopausal breast cancer patients.

Context: Breast cancer becomes more prevalent with advancing age. The increased risk of breast cancer needs to be considered when choosing a treatment plan and a kind of detection method for the postmenopausal woman. Better breast cancer prognostication may improve selection of patients for adjuvant therapy.

[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.

[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.

[Application of SELDI-TOF serum proteome profiling in cervical squamous cell carcinoma].

Background & Objective: Up to now, there is no valid biomarker in early diagnosis of cervical cancer. Surface-enhanced laser desorption/ionization time-of-flight mass spectrometry (SELDI-TOF-MS) is a new technique used to identify biomarkers for cancers. This study was to screen new biomarkers and build diagnostic models for early diagnosis of cervical cancer by SELDI-TOF-MS.

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.

[Comparative proteomics analysis of differentially expressed metastasis-associated proteins in human ovarian cancer cell lines].

Objective: To find the key proteins associated with metastasis of ovarian cancer, and find potential diagnostic markers and therapeutic targets of this malignancy.

Methods: A comparative proteomic strategy, in a combination of two-dimensional electrophoresis separation and mass spectrometry identification, was adopted to search for proteome alternations in an ovarian cancer mother cell line HO-8910 and its highly metastatic cell subline HO-8910PM.

Results: Twenty-one significantly different spots (two-fold increase or decrease) were detected between the two cell lines, of which 17 candidate proteins were successfully identified and characterized.

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.