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Abstract Genomic instability is associated with late stage carcinomas and the epithelial mesenchymal transition (EMT). Of note is chromosome 8q24 amplification that has been documented in many epithelial-derived carcinomas. On this amplified region is the potent oncogene, c-myc. Not only does MYC overexpression activate targets that promote cell proliferation, it also activates transcription factors that drive EMT, including ZEB1. Further reinforcing EMT, overexpressed MYC also represses tumor suppressors involved in promoting the epithelial phenotype, including MIZ1. We predict that as carcinomas progress, chromosome 8q24 is amplified leading to high MYC levels that leads to ZEB1 expression and MIZ1 repression driving cells through EMT. To interrogate this clinically, limited cohorts of human epithelial-derived carcinomas were examined for MYC/ZEB1/MIZ1 expression patterns across increasing carcinoma grades. Interestingly, the predicted temporal patterns were only observed in hepatocellular carcinoma (HCC) and intrahepatic cholangiocarcinomas. Yet MIZ1 proved to be an excellent marker to assess carcinoma progression across types. We expanded the HCC cohort and determined that c-myc amplification was restricted to grade III/IV HCC that also exhibited increased MYC and ZEB1 nuclear expression whereas cytosolic MIZ1 expression was lost and only nuclear expression retained. These same resections were obtained from only individuals who had histories of alcohol consumption that were also diagnosed with cirrhosis, metastasis and had viral hepatitis suggesting etiology-specific mechanisms of cancer progression. Finally, analysis performed in Hep3B cells determined that alterations in MYC expression promoted the predicted changes in ZEB1 and MIZ1 expression and/or distributions and in markers for EMT further suggesting a relationship among these three transcription factors in HCC and their correlation to driving EMT.

Abstract Biology and transcriptomes of non-cancerous human mammary epithelial cells at risk for breast cancer development were explored following primary isolation utilizing conditional reprogramming cell technology from mastectomy tissue ipsilateral to invasive breast cancer. Cultures demonstrated consistent categorizable behaviors. Relative viability and mammosphere formation differed between samples but were stable across three different mammary-specific media. E2F cell cycle target genes expression levels were positively correlated with viability and advancing age was inversely associated. Estrogen growth response was associated with Tissue necrosis factor signaling and Interferon alpha response gene enrichment. Neoadjuvant chemotherapy exposure significantly altered transcriptomes, shifting them towards expression of genes linked to mammary stem cell formation. Breast cancer prognostic signature sets include genes that in normal development are limited to specific stages of pregnancy or the menstrual cycle. Sample transcriptomes were queried for stage specific gene expression patterns. All cancer samples and a portion of high-risk samples showed overlapping stages reflective of abnormal gene expression patterns, while other high-risk samples exhibited more stage specific patterns. In conclusion, at-risk cells preserve behavioral and transcriptome diversity that could reflect different risk profiles. It is possible that prognostic platforms analogous to those used for breast cancer could be developed for high-risk mammary cells.