A gene from human chromosome 11 p11.2 was isolated and was shown to suppress metastasis when introduced into rat AT6.1 prostate cancer cells. Expression of this gene, designated KA11, was reduced in human cell lines derived from metastatic prostate tumors. KA11 specifies a protein of 267 amino acids, with four hydrophobic and presumably transmembrane domains and one large extracellular hydrophilic domain with three potential N-glycosylation sites. KA11 is evolutionarily conserved, is expressed in many human tissues, and encodes a member of a structurally distinct family of leukocyte surface glycoproteins. Decreased expression of this gene may be involved in the malignant progression of prostate and other cancers. (3), and the putative metastasis suppressor gene was mapped to human chromosome llpll.2-13 (the pl1.2-13 region of chromosome 11) by microcell-mediated chromosome transfer (4).To clone this metastasis suppressor gene on human chromosome 11, we isolated genomic DNA fragments from the pl 1.2-13 region by human-specific Alu element-me-
Osteosarcoma is the most common primary malignancy of bone and patients often develop pulmonary metastases. In order to investigate the pathogenesis of human osteosarcoma, there is a great need to develop a clinically relevant animal model. Here we report the development of an osteosarcoma animal model using three related human osteosarcoma lines, the parental TE-85 and two derivative lines MNNG/HOS and 143B. In vitro characterization demonstrated that the 143B line had the greatest cell migration and the least cell adhesion activities among the three lines. The 143B line also exhibited the greatest ability for anchorage independent growth. When GFP-tagged osteosarcoma cells were injected into the proximal tibia of athymic mice, we found that 143B cells were highly tumorigenic and metastatic, and MNNG/HOS cells were tumorigenic but significantly less metastatic. TE85 cells were neither tumorigenic nor metastatic. The number of pulmonary metastases was found 50-fold higher in 143B injected animals than that in MNNG/HOS injected mice. No pulmonary metastases were detected in TE85 injected animals for up to 8 weeks. Primary tumors formed by MNNG/HOS and 143B cells could be visualized by whole body fluorescence imaging, while the pulmonary metastases were visualized on the necropsied samples. The GFP tagged 143B cells (and to a lesser extent, MNNG/HOS cells) were readily recovered from lung metastases. This clinically relevant model of human osteosarcoma provides varying degrees of tumor growth at the primary site and metastatic potential. Thus, this orthotopic model should be a valuable tool to investigate factors that promote or inhibit osteosarcoma growth and/or metastasis.
SUMMARY Hypoxic stress and hypoxia-inducible factors (HIFs) play important roles in a wide range of tumors. We demonstrate that SPOP, which encodes an E3 ubiquitin ligase component, is a direct transcriptional target of HIFs in clear cell renal cell carcinoma (ccRCC). Furthermore, hypoxia results in cytoplasmic accumulation of SPOP which is sufficient to induce tumorigenesis. This tumorigenic activity occurs through the ubiquitination and degradation of multiple regulators of cellular proliferation and apoptosis, including the tumor suppressor PTEN, ERK phosphatases, the pro-apoptotic molecule Daxx and the Hedgehog pathway transcription factor Gli2. Knockdown of SPOP specifically kills ccRCC cells, indicating that it may be a promising therapeutic target. Collectively, our results indicate that SPOP serves as a regulatory hub to promote ccRCC tumorigenesis.
The goal of controlling ovarian cancer metastasis formation has elicited considerable interest in identifying the tissue microenvironments involved in cancer cell colonization of the omentum. Omental adipose is a site of prodigious metastasis in both ovarian cancer models and clinical disease. This tissue is unusual for its milky spots, comprised of immune cells, stromal cells, and structural elements surrounding glomerulus-like capillary beds. The present study shows the novel finding that milky spots and adipocytes play distinct and complementary roles in omental metastatic colonization. In vivo assays showed that ID8, CaOV3, HeyA8, and SKOV3ip.1 cancer cells preferentially lodge and grow within omental and splenoportal fat, which contain milky spots, rather than in peritoneal fat depots. Similarly, medium conditioned by milky spot-containing adipose tissue caused 75% more cell migration than did medium conditioned by milky spot-deficient adipose. Studies with immunodeficient mice showed that the mouse genetic background does not alter omental milky spot number and size, nor does it affect ovarian cancer colonization. Finally, consistent with the role of lipids as an energy source for cancer cell growth, in vivo time-course studies revealed an inverse relationship between metastatic burden and omental adipocyte content. Our findings support a two-step model in which both milky spots and adipose have specific roles in colonization of the omentum by ovarian cancer cells.
Metastasis is the most lethal attribute of a cancer. There is a critical need for markers that will distinguish accurately those histologic lesions and disseminated cells with a high probability of causing clinically important metastatic disease from those that will remain indolent. While the development of new diagnostic markers of metastasis was the initial motivation for many studies, the biologic approach used to identify metastasis-suppressor genes has provided surprising insights into the in vivo mechanisms regulating the formation of metastases. This review and perspective describes the evolving view of the mechanisms that regulate metastasis and the importance of metastasis-suppressor genes in this process. The known metastasis-suppressor proteins or genes and the microcell-mediated chromosomal transfer strategy used to identify many of them are reviewed. New evidence for the role of these metastasis-suppressor proteins or genes in regulating the growth of disseminated cancer cells at the secondary site, the potential for the identification of novel therapeutic targets, and the multidisciplinary approach needed to translate this information into clinical tools for the treatment of metastatic disease are discussed.
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