VSGP/F-spondin: a new ovarian cancer marker.

The discovery of genes that are overexpressed in ovarian cancers provides valuable insight into ovarian cancer biology and will lead to the development of more effective treatment strategies for combating this disease. To identify genes exhibiting ovarian- and ovarian cancer-specific expression, we generated four subtracted cDNA libraries from primary and metastatic ovarian adenocarcinoma tissues. 3,400 cDNA clones from these libraries were analyzed by microarray for tissue distribution and tumor specificity using 32 pairs of fluorophore-labeled cDNA samples from a variety of normal tissues and ovarian tumor tissues. cDNA clones showing elevated expression in ovarian tumors were identified by DNA sequencing with comparison to public databases, and the most promising candidates were further analyzed by quantitative real-time polymerase chain reaction and Northern blot. This systematic approach led to the identification of a number of genes including vascular smooth muscle growth-promoting factor (VSGP/F-spondin), a secreted protein previously identified and cloned from bovine and human ovary. VSGP/F-spondin protein was observed in ovarian carcinomas but not in normal ovarian epithelium by immunohistochemistry with a VSGP/F-spondin antibody. The expression profile of VSGP/F-spondin identifies this molecule as a potential diagnostic marker or target for developing therapeutic strategies to treat ovarian carcinoma.

P704P, P712P, and P775P: A genomic cluster of prostate-specific genes.

BACKGROUND: Discovery of prostate cancer- and tissue-specific genes will lead to an increased understanding of the molecular events associated with the malignant transformation and tumorigenesis of prostate cells. Such understanding will likely result in the development of promising new markers for screening, diagnosis, and prognosis, as well as potential therapeutic approaches for combating this disease. METHODS: A PCR-based subtraction method was combined with a high-throughput microarray screening approach to identify prostate tissue- and/or cancer-specific genes. Northern blot and quantitative real-time PCR were used to confirm prostate specificity. Bioinformatics analysis was performed to determine gene localization and to identify the open reading frame of novel genes. RESULTS: Three novel cDNA clones, P704P, P712P, and P775P, were identified and characterized to be specific for normal and malignant prostate tissues. Furthermore, P712P mRNA expression was found to be androgen responsive in LNCaP cells. Sequences for all three cDNAs were localized to an 80 kb genomic region on chromosome 22. Attempts to identify full-length transcripts did not reveal any apparent open reading frames, indicating that P704P, P712P, and P775P may belong to a novel class of transcripts with specific patterns of gene expression that do not code for translated proteins. CONCLUSIONS: A genomic cluster of prostate-specific genes with no apparent open reading frame has been discovered using a high-throughput approach combining subtraction with microarray. This may represent an important genomic region having possible connections to prostate biology with potential applications in prostate diagnostics and therapy.

Discovery of differentially expressed genes in human breast cancer using subtracted cDNA libraries and cDNA microarrays.

Identifying novel and known genes that are differentially expressed in breast cancer has important implications in understanding the biology of breast tumorigenesis and developing new diagnostic and therapeutic agents. In this study we have combined two powerful technologies, PCR-based cDNA subtraction and cDNA microarray, as a high throughput methodology designed to identify cDNA clones that are breast tumor- and tissue-specific and are overexpressed in breast tumors. Approximately 2000 cDNA clones generated from the subtracted breast tumor library were arrayed on the microarray chips. The arrayed target cDNAs were then hybridized with 30 pairs of fluorescent-labeled cDNA probes generated from breast tumors and normal tissues to determine the tissue distribution and tumor specificity. cDNA clones showing overexpression in breast tumors by microarray were further analysed by DNA sequencing, GenBank and EST database searches, and quantitative real time PCR. We identified several known genes, including mammaglobin, cytokeratin 19, fibronectin, and hair-specific type II keratin, which have previously been shown to be overexpressed in breast tumors and may play an important role in the malignance of breast. We also discovered B726P which appears to be an isoform of NY-BR-1, a breast tissue-specific gene. Two additional clones discovered, B709P and GABA(A) receptor pi subunit, were not previously described for their overexpression profile in breast tumors. Thus, combining PCR-based cDNA subtraction and cDNA microarray allowed for an efficient way to identify and validate genes with elevated mRNA expression levels in breast cancer that may potentially be involved in breast cancer progression. These differentially expressed genes may be of potential utility as therapeutic and diagnostic targets for breast cancer.