No abstract available.
Penicillins* ; Pneumonia* ; Sepsis* ; Streptococcus pneumoniae* ; Streptococcus*

No abstract available.
Penicillins* ; Pneumonia* ; Sepsis* ; Streptococcus pneumoniae* ; Streptococcus*

OBJECTIVE: Cervical cancer has long been linked to the sexually transmitted human papillomavirus (HPV), and the oncoproteins E6 and E7 disrupt the functions of tumour suppressor genes, resulting in genetic alteration. It was shown that loss of heterozygosity at 6p is a common genetic alteration in cervical cancer. However, the molecular genetics of cancer have only recently been understood, and for the development of cervical cancer additional genetic alterations in host cell genes are required. The present study has identified the differential changes of the cervical cancer-associated genetic alterations by a genome-wide array based comparative genomic hybridization (array-CGH). METHODS: We analyzed 15 cases of cervical cancer from St. Mary's hospital of The paraffin-fixed tissue samples were microdissected under microscope and DNA was extracted by the procedures of proteinase K digestion and chloroform extraction. Array-based CGH and genomic PCR were carried out with statistical analyses such as hierarchical clustering and Gene Ontology. The BAC array used in this study consisted of 1,440 human BACs, the space among the clones were approximately 2.08 megabase (Macrogen, Seoul, Korea). RESULTS: All of 15 cases of cervical cancer showed specific gains and losses. The analysis limit of average gains and losses was 53%. A significant positive correlation was found between 1p36.32, 3p14.2, 3q27.1, 7p21.1, 8q24.3 and 11q13.1 changes through the cervical carcinogenesis. The high-level of gain regions, BAC clones encoded GSDMDC1, RECQL4, TP73, ABCF3, ALG3, HDAC9, ESRRA and RPS6KA4 genes. Frequently gained BAC clones encoded genes were PRSS8, FUS, COL18A1, PCOLN3, MAFG and ASPSCR1. The genes encoded by frequently lost BAC clones were PTPRG, GRM7, ZDHHC3, EXOSC7, LRP1B and NR3C2. Also, hierarchical clustering of the expression data readily distinguished genomic alterations in cervical cancer. A subset of cellular processes from each gene was clustered by Gene Ontology database. CONCLUSION: Using Array-CGH, genomic alterations related to cervical cancer were identified to determine whether induction of chromosomal imbalances occurs prior to carcinogenesis. The high resolution of array-CGH combined with human genome database would give a chance to find out possible target genes present in the gained or lost clones.
Carcinogenesis ; Chloroform ; Clone Cells ; Comparative Genomic Hybridization ; Digestion ; DNA ; Endopeptidase K ; Gene Ontology ; Genes, Suppressor ; Genome, Human ; Humans ; Loss of Heterozygosity ; Molecular Biology ; Oncogene Proteins ; Polymerase Chain Reaction ; Seoul ; Uterine Cervical Neoplasms*

OBJECTIVE: The discovery of new biomarkers for ovarian cancer is clearly necessary for the detection and monitoring of the disease. Experion(TM) automated electrophoresis system can be employed in the identification of differentially expressed proteins in cancer cells. The objective of this study was to discover potential diagnostic serological biomarkers for ovarian cancer. METHODS: We performed protein expression difference analyses for 14 healthy women and 28 ovarian cancer patients with stage I, III and IV using Experion(TM) system. And then we checked the protein expression as silver staining after loading at 8~16% gradient gel for comparison with Experion(TM) gel image. The candidate biomarkers were purified and determined using MALDI-TOF mass spectrometer. RESULTS: The distinctive polypeptide peaks were detected at 115.40, 15.96, 14.8, 11.66, and 10.69 kDa and these five peaks were identified as ceruloplasmin, hemoglobin beta chain, hemoglobin sigma chain, serum amyloid A4, and amyloid related serum protein SAA, respectively. These proteins were significantly different between the sera of normal healthy women and ovarian cancer patients. CONCLUSIONS: Five proteins were found to be significantly different between the sera of normal healthy women and ovarian cancer patients. In addition, Experion(TM) assay system can provide high performance for analysis of ovarian cancer-related proteins by increasing the throughput while maintaining a high level of accuracy.
Amyloid ; Biomarkers* ; Ceruloplasmin ; Electrophoresis ; Female ; Humans ; Ovarian Neoplasms* ; Silver Staining