CREB Targets Define the Gene Expression Signature of Malignancies Having Reduced Levels of the Tumor Suppressor Tristetraprolin

The RNA-binding protein Tristetraprolin (TTP, ZFP36) functions as a tumor suppressor that impairs the development and disables the maintenance of MYC-driven lymphoma. In addition, other human cancers expressed reduced levels of TTP, suggesting that it may function as a tumor suppressor in several malignancies. To identify genes that may be associated with TTP tumor suppressor functions in human cancer, we analyzed The Cancer Genome Atlas (TCGA) breast cancer, lung adenocarcinoma, lung squamous cell carcinoma, and colon adenocarcinoma datasets. These analyses defined a signature of 50 genes differentially regulated between high and low TTP-expressing tumors. Notably, patients with low TTP-expressing breast cancer and lung adenocarcinoma had decreased survival rates and more aggressive tumors with increased necrosis. In addition, analysis across non-TCGA tumor gene expression databases identified a broad spectrum of human cancers having similarities with the TTP-low tumor gene signature, including pancreatic, bladder, and prostate cancer. TTP has documented roles in regulating mRNAs encoding inflammatory proteins, and pathway analysis identified several inflammatory pathways that are altered in tumors with low TTP expression. Surprisingly, the TTP-low tumor gene signature includes a core component of 20 under-expressed CREB target genes, suggesting that the regulation of CREB activity may be related to the tumor suppressor function of TTP. Thus, reduced levels of TTP are a potential biomarker for human cancers with poor outcome, and targeting the CREB pathway may be a therapeutic route for treating aggressive TTP-low tumors

miRNAs associated with prostate cancer risk and progression

Prostate cancer is the most common malignancy among men in the US. Though considerable improvement in the diagnosis of prostate cancer has been achieved in the past decade, predicting disease outcome remains a major clinical challenge. Recent expression profiling studies in prostate cancer suggest microRNAs (miRNAs) may serve as potential biomarkers for prostate cancer risk and disease progression. miRNAs comprise a large family of about 22-nucleotide-long non-protein coding RNAs, regulate gene expression post-transcriptionally and participate in the regulation of numerous cellular processes. In this review, we discuss the current status of miRNA in studies evaluating the disease progression of prostate cancer. The discussion highlights key findings from previous studies, which reported the role of miRNAs in risk and progression of prostate cancer, providing an understanding of the influence of miRNA on prostate cancer. Our review indicates that somewhat consistent results exist between these studies and reports on several prostate cancer related miRNAs. Present promising candidates are miR-1, −21, 106b, 141, −145, −205, −221, and −375, which are the most frequently studied and seem to be the most promising for diagnosis and prognosis for prostate cancer. Nevertheless, the findings from previous studies suggest miRNAs may play an important role in the risk and progression of prostate cancer as promising biomarkers

Genomic Testing in Localized Prostate Cancer Can Identify Subsets of African Americans With Aggressive Disease

BACKGROUND: Personalized genomic classifiers have transformed the management of prostate cancer (PCa) by identifying the most aggressive subsets of PCa. Nevertheless, the performance of genomic classifiers to risk classify African American men is thus far lacking in a prospective setting. METHODS: This is a prospective study of the Decipher genomic classifier for National Comprehensive Cancer Network low- and intermediate-risk PCa. Study-eligible non-African American men were matched to African American men. Diagnostic biopsy specimens were processed to estimate Decipher scores. Samples accrued in NCT02723734, a prospective study, were interrogated to determine the genomic risk of reclassification (GrR) between conventional clinical risk classifiers and the Decipher score. RESULTS: The final analysis included a clinically balanced cohort of 226 patients with complete genomic information (113 African American men and 113 non-African American men). A higher proportion of African American men with National Comprehensive Cancer Network-classified low-risk (18.2%) and favorable intermediate-risk (37.8%) PCa had a higher Decipher score than non-African American men. Self-identified African American men were twice more likely than non-African American men to experience GrR (relative risk [RR] = 2.23, 95% confidence interval [CI] = 1.02 to 4.90; P = .04). In an ancestry-determined race model, we consistently validated a higher risk of reclassification in African American men (RR = 5.26, 95% CI = 1.66 to 16.63; P = .004). Race-stratified analysis of GrR vs non-GrR tumors also revealed molecular differences in these tumor subtypes. CONCLUSIONS: Integration of genomic classifiers with clinically based risk classification can help identify the subset of African American men with localized PCa who harbor high genomic risk of early metastatic disease. It is vital to identify and appropriately risk stratify the subset of African American men with aggressive disease who may benefit from more targeted interventions

KLK3 SNP-SNP interactions for prediction of prostate cancer aggressiveness

Risk classification for prostate cancer (PCa) aggressiveness and underlying mechanisms remain inadequate. Interactions between single nucleotide polymorphisms (SNPs) may provide a solution to fill these gaps. To identify SNP-SNP interactions in the four pathways (the angiogenesis-, mitochondria-, miRNA-, and androgen metabolism-related pathways) associated with PCa aggressiveness, we tested 8587 SNPs for 20,729 cases from the PCa consortium. We identified 3 KLK3 SNPs, and 1083 (P-9) and 3145 (P-5) SNP-SNP interaction pairs significantly associated with PCa aggressiveness. These SNP pairs associated with PCa aggressiveness were more significant than each of their constituent SNP individual effects. The majority (98.6%) of the 3145 pairs involved KLK3. The 3 most common gene-gene interactions were KLK3-COL4A1:COL4A2, KLK3-CDH13, and KLK3-TGFBR3. Predictions from the SNP interaction-based polygenic risk score based on 24 SNP pairs are promising. The prevalence of PCa aggressiveness was 49.8%, 21.9%, and 7.0% for the PCa cases from our cohort with the top 1%, middle 50%, and bottom 1% risk profiles. Potential biological functions of the identified KLK3 SNP-SNP interactions were supported by gene expression and protein-protein interaction results. Our findings suggest KLK3 SNP interactions may play an important role in PCa aggressiveness.</p

Using K5 Myc transgenic mice to delineate *Myc\u27s apoptotic and tumorigenic pathways

The c-myc oncogene has the unusual ability to induce proliferation and apoptosis. Transgenic mice have been generated in which the expression of Myc is under the control of an epithelial-specific keratin 5 (K5) promoter. These mice have increased levels of proliferation and p53-dependent apoptosis, and are predisposed to developing spontaneous tumors in epithelial tissues. In this study, various knockout mice were bred to K5 Myc transgenic mice to identify factors involved in the aberrant apoptosis, hyperproliferation, and spontaneous tumorigenesis present in these mice. Consistent with in vitro studies, Myc-induced, p53-dependent apoptosis in transgenic epidermis was found to be partially dependent on p19ARF, a p53 regulator that inhibits mdm2. Additionally, the rate of tumorigenesis was increased when p19ARF was absent in Myc transgenic mice. Consistent with previous reports that some E2F family members may function as tumor suppressors, inactivation of either E2f1 or E2f2 was found to accelerate tumor development in the K5 Myc transgenic mice. Acceleration of tumorigenesis in the absence of E2F1 occurred despite the fact that apoptotic levels were increased in transgenic tissue and tumors null for E2f1 , whereas hyperproliferation was unaffected. In contrast, inactivation of E2f2 was found to increase hyperproliferation in the K5 Myc transgenic mice, while having no effect on apoptosis. The lack of E2f1 in the Myc transgenic mice increased the expression of several p53 transcription target genes, which may explain the increased apoptosis in these mice. In transgenic epidermis, p53 is phosphorylated at serine 18, a site of phosphorylation by ATM. Inactivation of ATM in K5 Myc transgenic mice impaired Myc-induced apoptosis, identifying ATM as having an important role in Myc-induced apoptosis. Moreover, the absence of ATM accelerates tumorigenesis in K5-expressing tissues. However, p53 accumulation and phosphorylation at serine 18 induced by Myc occurs independent of ATM. Therefore, another activity of ATM appears to be important for Myc-induced apoptosis. These findings show that acceleration of tumorigenesis in K5 Myc transgenic mice, as in the case of p53, p19ARF, E2F1, E2F2, and ATM absence, does not necessarily correlate with suppression of Myc-induced apoptosis, as seen only when p53, p19ARF or ATM was absent.

CREB targets define the gene expression signature of malignancies having reduced levels of the tumor suppressor tristetraprolin.

The RNA-binding protein Tristetraprolin (TTP, ZFP36) functions as a tumor suppressor that impairs the development and disables the maintenance of MYC-driven lymphoma. In addition, other human cancers expressed reduced levels of TTP, suggesting that it may function as a tumor suppressor in several malignancies. To identify genes that may be associated with TTP tumor suppressor functions in human cancer, we analyzed The Cancer Genome Atlas (TCGA) breast cancer, lung adenocarcinoma, lung squamous cell carcinoma, and colon adenocarcinoma datasets. These analyses defined a signature of 50 genes differentially regulated between high and low TTP-expressing tumors. Notably, patients with low TTP-expressing breast cancer and lung adenocarcinoma had decreased survival rates and more aggressive tumors with increased necrosis. In addition, analysis across non-TCGA tumor gene expression databases identified a broad spectrum of human cancers having similarities with the TTP-low tumor gene signature, including pancreatic, bladder, and prostate cancer. TTP has documented roles in regulating mRNAs encoding inflammatory proteins, and pathway analysis identified several inflammatory pathways that are altered in tumors with low TTP expression. Surprisingly, the TTP-low tumor gene signature includes a core component of 20 under-expressed CREB target genes, suggesting that the regulation of CREB activity may be related to the tumor suppressor function of TTP. Thus, reduced levels of TTP are a potential biomarker for human cancers with poor outcome, and targeting the CREB pathway may be a therapeutic route for treating aggressive TTP-low tumors

Low <i>TTP</i> expression correlates with more aggressive tumor subtypes and advanced tumor stage.

<p>Percentages of tumor expression subtypes (<i>left column</i>) and tumor stage (<i>right column</i>) are shown for patients in the <i>TTP</i>-high and <i>TTP</i>-low groups for TCGA breast cancer (<b>A and B</b>), lung adenocarcinoma (<b>C and D</b>), lung squamous cell carcinoma (<b>E and F</b>), and colon adenocarcinoma (<b>G and H</b>) datasets.</p

Low <i>TTP</i> levels correlate with increased tumor necrosis in breast cancer and lung adenocarcinoma.

<p>Average percentages of tumor necrosis in <i>TTP</i>-high and <i>TTP</i>-low tumors in TCGA breast cancer, lung adenocarcinoma, lung squamous cell carcinoma, and colon adenocarcinoma datasets. The p-values were determined by Student's <i>t</i>-test (*p<0.05, *** p<0.001).</p

Expression of CREB family members in breast cancer and lung adenocarcinoma based on <i>TTP</i> levels.

<p>Gene expression profiling showing the expression levels of canonical <i>CREB</i> family members (<b>A</b>), and comparing the expression levels of <i>CREM</i> versus its dominant negative splice variants <i>ICER</i> and <i>CREMΔZIP</i> (<b>C</b>) in <i>TTP</i>-high and <i>TTP</i>-low expressing TCGA breast cancers and lung adenocarcinomas. (<b>B</b>) Cartoon showing the canonical CREM protein and its dominant negative splice variants ICER and CREMΔZIP.</p