Obesity-related systemic factors promote an invasive phenotype in prostate cancer cells.

BACKGROUND: Obesity is associated with larger tumors, shorter time to PSA failure, and higher Gleason scores. However, the mechanism(s) by which obesity promotes aggressive prostate cancer remains unknown. We hypothesize that circulating factors related to obesity promote prostate cancer progression by modulating components of the metastatic cascade. METHODS: Male C57BL/6 mice (6 weeks) were fed an ad libitum diet-induced obesity (60% fat) or control diet (10% fat) for 12 weeks. Serum was collected, metabolic and inflammatory proteins were measured by an antibody array. Sera were used to measure, in vitro, characteristics of a metastatic phenotype. RESULTS: Comparable to obese men, obese sera contained higher levels or leptin, vascular endothelial growth factor, PAI-1, interleukin-6 (IL-6) and lower levels of testosterone. In prostate cells, serum was used to assess: proliferation, invasion, migration, epithelial-mesenchymal-transition (EMT) and matrix metalloproteinase (MMP) activity. LNCaP and PacMetUT1 cells exposed to obese sera increased proliferation, whereas PrEC and DU145 were unaffected. LNCaP, PacMetUT1 and DU145 cancer cells exposed to obese sera resulted in increased invasion, migration and MMP-9 activity. Prostate cancer cells exposed to obese sera showed increased vimentin, dispersion of e-cadherin and ß-catenin from the plasma membrane. CONCLUSION: We report, prostate cancer cells exposed to sera from obese mice increases proliferation, invasion, migration, MMP activity and induces changes in proteins critical for EMT.

Targeted gene therapy for breast cancer with truncated Bid.

We studied the efficiency of the proapoptotic factor tBid, targeted to tumor cells using the promoters of the hTERT, Survivin and Muc1 genes, in killing breast cancer cells. tBid is the active fragment of the proapoptotic protein Bid and is generated in response to death receptor activation. When placed under control of a strong CMV promoter, tBid was highly efficient in killing breast cancer cells. When expression of tBid was driven by tumor-specific promoters, the magnitude of killing was significant in cell lines with high levels of promoter activity. For successful gene therapy with targeted tBid, it is therefore crucial to be able to predict promoter activity prior to selection of the therapeutic construct. To test whether gene expression could serve as a predictor, we correlated expression of Survivin, hTERT and Muc1 genes with the activity of the corresponding promoters in a panel of breast cancer cell lines. Expression of the Muc1 gene correlated well with the activity of its promoter and the resultant tumor cell killing. For the hTERT and Survivin promoters, however, promoter activity did not correlate well with the expression of the corresponding genes. The implications and possible mechanism of these discrepancies are discussed.