Multigene real-time PCR detection of circulating tumor cells in peripheral blood of lung cancer patients.

BACKGROUND: CLCA2, HMGB3, L587S and ASH1 were identified in lung cancer tissues using genetic subtraction, microarray and quantitative PCR, and found to be specific and complementary for detection of non-small cell lung carcinoma (NSCLC) and small cell lung carcinoma (SCLC). MATERIALS AND METHODS: A real-time RT-PCR assay, simultaneously detecting four genes, was developed and tested on lung cancer specimens. RESULTS: Twenty-two out of 24 adenocarcinomas, 18/18 squamous, 4/5 large cell, 2/2 small cell and 2/2 bronchoalveolar/neuroendocrine cancer tissue samples tested positive. Specificity was demonstrated by evaluation of 194 other tumor and corresponding normal tissues. Circulating tumor cells in the peripheral blood of 49/108 lung cancer patient samples tested positive, and general correlations of multigene expression signals to disease status were observed. Changes in multigene expression during treatment and disease recurrence in individual patients could be detected. CONCLUSION: These data indicate the diagnostic and prognostic utility of a multigene real-time RT-PCR assay to detect tumor cells in the peripheral blood of lung cancer patients.

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.