RESEARCH ACTIVITIES:
Background
Ovarian cancer presents at a late clinical stage in more than 80% of patients, and is associated with a five year survival of only 35% in this group. By contrast, the five year survival rate for patients with ovarian cancer that has not spread beyond the ovaries (stage I) exceeds 90%, with most patients cured. Thus, the detection of early-stage ovarian cancer is the best way to improve survival. A highly sensitive and specific diagnostic test or biomarker for early-detection of ovarian cancer is therefore vital.
Ovarian Cancer Proteomics
Proteomics is the study of protein shape, function and patterns of expression. A major application of proteomics is in the field of cancer research. The OCRF is using proteomics technology with the aim of identifying early detection markers in ovarian cancer. Our strategy involves the use of two key technologies – SELDI-TOF-MS (surface-enhanced laser desorption/ionization time of flight mass spectrometer) and 2D PAGE (Two-Dimensional Polyacrylamide Gel Electrophoresis).
With the very generous support of the National Australia Bank Silver Ribbon Campaign 2004 the OCRF was able to purchase the ‘Ciphergen ProteinChip SELDI-TOF-MS proteomics system, Series 4000’ - some of the latest technology for proteomics research. The SELDI system is a very sensitive tool for identifying new proteins and unique expression patterns of proteins ('protein signatures') in patients with ovarian cancer.
2D PAGE is an alternative technique used to separate and isolate thousands of proteins in a single experiment. Unlike SELDI, which compares patterns of proteins, the focus of 2D PAGE is on the identification of individual proteins, facilitating their use in the development of stand-alone diagnostic tools. Using some of the latest fluorescent detection technologies, we are able to examine thousands of proteins at a time for cancer-specific changes in protein expression patterns.
Current research employing both SELDI and 2D PAGE has delivered very promising results. We are confident that by using these technologies we are moving an important step closer to the development of an early detection test for ovarian cancer.
Ovarian Cancer Proteomics
Proteins that are inappropriately produced by cancer cells and then released into the bloodstream remain the ideal markers for early detection of ovarian cancer. The major challenge is to identify these cancer-specific markers amongst the tens of thousands of normal proteins already present in blood. Our focus is the detection of proteins that are produced very early in the progression of cancer. Detecting these markers early will allow diagnosis of ovarian cancers in the pre-cancerous or beginning stages of tumour development, when treatment is the most successful.
Our current SELDI work is focussed on comparison of protein signatures between healthy women and cancer patients. We have developed a comprehensive strategy for the removal of non-cancer-related proteins from patient samples, leaving only those proteins that are important in disease. This has resulted in the detection of several promising candidate proteins that can discriminate between cancer patients and healthy women. We are continuing to work towards an increased sensitivity for detection of these differences, and also towards the biochemical identification and analysis of the proteins flagged as changing in a cancer-specific manner.
Our 2D PAGE strategy has also been highly successful to date. We have developed a series of protocols used to sequentially fractionate patient blood samples into more simple components for analysis. This has allowed detection of proteins present in blood at concentrations of picograms (one trillionth of a gram) per ml.
RESEARCH ACTIVITIES:
Background
Ovarian cancer presents at a late clinical stage in more than 80% of patients, and is associated with a five year survival of only 35% in this group. In contrast, the five year survival for patients with organ-confined (stage I) ovarian cancer exceeds 90%, and most patients are cured. Thus, the detection of early-stage ovarian cancer is the best way to improve survival. A highly sensitive and specific diagnostic test or biomarker for early-detection of ovarian cancer is therefore warranted.
Ovarian Cancer Proteomics
Proteomics is the study of protein shape, function and patterns of expression. The field of proteomics has experienced substantial growth in the past decade. A major application of proteomics is in the field of cancer research. The OCRF is using proteomics technology with the aim to identify early detection markers in ovarian cancer.
With the very generous support of the National Australia Bank Silver Ribbon Campaign 2004 the OCRF was able to purchase latest proteomics technology - the Ciphergen ProteinChip SELDI-TOF-MS (surface-enhanced laser desorption/ionization time of flight mass spectrometer) proteomics system, Series 4000.
The SELDI system is a very sensitive tool for identifying new proteins and unique expression patterns of proteins (called 'protein signatures') in patients with ovarian cancer. It consists of two components:
Protein capturing tool: Biological samples such as serum, cell lysates or other protein preparations are applied directly to ProteinChip Arrays which exhibit different chromatographic properties. They are utilized to enrich for subsets of different proteins.
Protein detection tool: After a short incubation period, unbound proteins are washed off the surface of the array; only proteins interacting with the chemistry of the array surface are retained for analysis. The arrays are finally analyzed in the ProteinChip Reader, a time-of-flight mass spectrometer, which records the mass values and signal intensities of the detected proteins and peptides. The raw data is then analyzed in-depth with complex statistical software.
The acquired most advanced SELDI model (Series 4000) which is based at Prince Henry's Institute of Medical Research is currently the only one in Australia.
First experiments with the SELDI system have resulted in very promising results. We are confident that by the use of this technology we will be able to move an important step closer to the development of an early detection test for ovarian cancer.
Cell death receptor P2X7 in ovarian cancer
Apoptosis (programmed cell death) is characterized by an organized and controlled sequence of molecular and cellular events leading to the removal of a cell from its potential or current physiological or pathological function. The ability to resist apoptosis is a hallmark of most, and perhaps all types of cancer.
The P2X7 receptor mediates apoptosis in various cell types. In cancer, however, the P2X7 receptor is believed to be non-functional and unable to initiate programmed cell death and to control cell proliferation. An antibody raised against non-functional receptor P2X7 (Biosceptre International Inc., Sydney) was found to bind to a wide range of prostate, breast and skin cancer cells. No confirmed cancer cells from these tissues were found to be free of the aberrant receptor
The OCRF has conducted a collaborative study with Biosceptre International Inc to examine the potential use of the non-functional P2X7 receptor as a diagnostic tool in ovarian cancer.
RESEARCH ACTIVITIES:
Background
Ovarian cancer presents at a late clinical stage in more than 80% of patients, and is associated with a 5-year survival of only 35% in this group. In contrast, the 5-year survival for patients with organ-confined stage I ovarian cancer exceeds 90%, and most patients are cured of their disease. Thus, the detection of early-stage ovarian cancer is the best way to improve survival. A highly sensitive and specific diagnostic test or biomarker for early-detection of ovarian cancer is therefore warranted.
Identification of Genes Involved in Ovarian Cancer Development
The molecular and genetic events associated with the development of ovarian cancer are still largely unknown, thus contributing to the lack of reliable biomarkers for disease detection. Contrary to colorectal cancer which develops stepwise in a distinct series of well-defined lesions, the ovarian cancer research community disagrees on which are the precursors of epithelial ovarian cancer.
To identify early genetic events involved in the development of ovarian cancer, we are analyzing gene expression profiles of ovarian malignancies (cancers) by means of complementary DNA (cDNA) microarrays. To obtain precise expression profiles, laser microdissection is being employed to isolate the cells from tissue samples. The identification of molecular markers, whose expression is elevated at an early stage and remain elevated during cancer progression, would be especially useful for early cancer detection. If those molecules would be functionally involved in cancer growth, they would also be a therapeutic target. A better understanding of the molecular basis of ovarian cancer development would lead to new paradigms in early ovarian cancer detection and new therapeutic strategies.
Ovarian Cancer Proteomics