Implementing RFID technology in a novel triage system during a simulated mass casualty situation.

The purpose of this study is to determine the applicability of Radio Frequency Identification (RFID) technology and commercial cellular networks to provide an online triage system for handling mass casualty situations. This was tested by a using a pilot system for a simulated mass casualty situation during a military field exercise. The system proved to be usable.

Characterization of a putative ovarian oncogene, elongation factor 1alpha, isolated by panning a synthetic phage display single-chain variable fragment library with cultured human ovarian cancer cells.

Purpose: In an effort to identify cell surface targets and single short-chain antibody (scFv) for ovarian cancer therapy, we used a phage display approach to isolate an antibody with high reactivity against ovarian cancer.

Experimental Design: A phage scFv library was subjected to panning against human SK-OV-3 ovarian cancer cells. A clone with high reactivity was selected and tested in immunoperoxidase staining on a panel of normal tissues and ovarian carcinoma.

OY-TES-1 expression and serum immunoreactivity in epithelial ovarian cancer.

OY-TES-1 is a novel target that belongs to the family of 'cancer/testis' (CT) antigens. Our goal was to examine the expression and immunogenicity of OY-TES-1 in epithelial ovarian cancer (EOC) to determine its potential as a target for vaccine therapy. OY-TES-1 expression was determined by one-step reverse transcriptase PCR on 100 EOC samples, 5 EOC cell lines, and a panel of normal tissues.

Gene expression and prognostic significance in ovarian cancer.

Epithelial ovarian cancer (EOC) is the leading cause of death from gynecological malignancies in the United States. Most patients with EOC will respond to surgical debulking followed by platinum and paclitaxel based chemotherapy. Unfortunately, the relapse rate within 2 years is more than 70%.

Detection of epithelial ovarian cancer using 1H-NMR-based metabonomics.

Currently available serum biomarkers are insufficiently reliable to distinguish patients with epithelial ovarian cancer (EOC) from healthy individuals. Metabonomics, the study of metabolic processes in biologic systems, is based on the use of (1)H-NMR spectroscopy and multivariate statistics for biochemical data generation and interpretation and may provide a characteristic fingerprint in disease. In an effort to examine the utility of the metabonomic approach for discriminating sera from women with EOC from healthy controls, we performed (1)H-NMR spectroscopic analysis on preoperative serum specimens obtained from 38 patients with EOC, 12 patients with benign ovarian cysts and 53 healthy women.