Fibroblast growth factor receptor 1 oncogene partner as a novel prognostic biomarker and therapeutic target for lung cancer.

To screen candidate molecules that might be useful as diagnostic biomarkers or for development of novel molecular-targeting therapies, we previously carried out gene-expression profile analysis of 101 lung carcinomas and detected an elevated expression of FGFR1OP (fibroblast growth factor receptor 1 oncogene partner) in the majority of lung cancers. Immunohistochemical staining using tumor tissue microarrays consisting of 372 archived non-small cell lung cancer (NSCLC) specimens revealed positive staining of FGFR1OP in 334 (89.8%) of 372 NSCLCs. We also found that the high level of FGFR1OP expression was significantly associated with shorter tumor-specific survival times (P < 0.0001 by log-rank test). Moreover, multivariate analysis determined that FGFR1OP was an independent prognostic factor for surgically treated NSCLC patients (P < 0.0001). Treatment of lung cancer cells, in which endogenous FGFR1OP was overexpressed, using FGFR1OP siRNA, suppressed its expression and resulted in inhibition of the cell growth. Furthermore, induction of FGFR1OP increased the cellular motility and growth-promoting activity of mammalian cells. To investigate its function, we searched for FGFR1OP-interacting proteins in lung cancer cells and identified ABL1 (Abelson murine leukemia viral oncogene homolog 1) and WRNIP1 (Werner helicase interacting protein 1), which was known to be involved in cell cycle progression. FGFR1OP significantly reduced ABL1-dependent phosphorylation of WRNIP1 and resulted in the promotion of cell cycle progression. Because our data imply that FGFR1OP is likely to play a significant role in lung cancer growth and progression, FGFR1OP should be useful as a prognostic biomarker and probably as a therapeutic target for lung cancer.

Genome-wide gene-expression profiles of breast-cancer cells purified with laser microbeam microdissection: identification of genes associated with progression and metastasis.

Breast carcinoma is a complex disease characterized by accumulation of multiple genetic alterations, and the understanding of the molecular basis of mammary tumorigenesis is still incomplete. In this study we analyzed gene-expression profiles of 81 surgical specimens of 12 ductal carcinoma in situ (DCIS) and 69 invasive ductal carcinoma (IDC). After applying laser-microbeam micro-dissection to all samples we achieved 98-99% pure populations of breast cancer cells, and of normal breast epithelial cells used as controls. A cDNA-microarray analysis of 23,040 genes in these samples and a subsequent unsupervised hierarchical clustering distinguished two tumor groups, mainly in terms of estrogen-receptor (ER) status. We then undertook a supervised analysis and identified 325 genes that were commonly either up- or down-regulated in both pathologically discrete stages (DCIS and IDC), indicating that these genes might play important roles in malignant transformation of breast ductal cells. In addition, we searched invasion-associated gene candidates whose expression was altered in IDC, but not in DCIS, and identified 24 up-regulated genes and 41 down-regulated genes. Furthermore, we identified 34 genes that were expressed differently in tumors from patients with lymph node metastasis as opposed to no metastasis. On that basis we developed a scoring system that correlated well with the metastatic status. Tumors from all of the 37 test patients with lymph-node metastasis yielded positive scores by our definition, whereas 38 of the 40 tumors (95%) without lymph node metastasis had negative scores. Our data should provide useful information for identifying predictive markers for invasion or metastasis, and suggest potential target molecules for treatment of breast cancers.