Citations

The American Joint Committee on Cancer (AJCC) has increasingly recognized the need for more personalized probabilistic predictions than those delivered by ordinal staging systems, particularly through the use of accurate risk models or calculators. However, judging the quality and acceptability of a risk model is complex. The AJCC Precision Medicine Core conducted a 2‐day meeting to discuss characteristics necessary for a quality risk model in cancer patients. More specifically, the committee established inclusion and exclusion criteria necessary for a risk model to potentially be endorsed by the AJCC. This committee reviewed and discussed relevant literature before creating a checklist unique to this need of AJCC risk model endorsement. The committee identified 13 inclusion and 3 exclusion criteria for AJCC risk model endorsement in cancer. The emphasis centered on performance metrics, implementation clarity, and clinical relevance. The facilitation of personalized probabilistic predictions for cancer patients holds tremendous promise, and these criteria will hopefully greatly accelerate this process. Moreover, these criteria might be useful for a general audience when trying to judge the potential applicability of a published risk model in any clinical domain. CA Cancer J Clin 2016;66:370–374. © 2016 American Cancer Society.

Bacterial biofilms are associated with persistent infections and antibiotics resistance which substantially complicate patient care. Surface engineering of nanoparticles represents a novel and unconventional approach to disrupt biofilms and target bacterial pathogens.

AbstractThe schweinfurthins have potent antiproliferative activity in multiple glioblastoma multiforme (GBM) cell lines; however, the mechanism by which growth is impeded is not fully understood. Previously, we demonstrated that the schweinfurthins reduce the level of key isoprenoid intermediates in the cholesterol biosynthetic pathway. Herein, we describe the effects of the schweinfurthins on cholesterol homeostasis. Intracellular cholesterol levels are greatly reduced in cells incubated with 3‐deoxyschweinfurthin B (3dSB), an analog of the natural product schweinfurthin B. Decreased cholesterol levels are due to decreased cholesterol synthesis and increased cholesterol efflux; both of these cellular actions can be influenced by liver X‐receptor (LXR) activation. The effects of 3dSB on ATP‐binding cassette transporter 1 levels and other LXR targets are similar to that of 25‐hydroxycholesterol, an LXR agonist. Unlike 25‐hydroxycholesterol, 3dSB does not act as a direct agonist for LXR α or β. These data suggest that cholesterol homeostasis plays a significant role in the growth inhibitory activity of the schweinfurthins and may elucidate a mechanism that can be targeted in human cancers such as GBM.

Lung cancer is one of the most common types of human malignancies and the leading cause of cancer-related death. Patients with surgically resectable early stage lung cancer are more likely curable, but currently only a small population of patients can be diagnosed at such a stage, partly due to our incomplete understanding of the biology of lung cancer and the lack of diagnostic and prognostic biomarkers. Recent studies have shown that NOTCH1 is a critical regulator of human carcinogenesis and has been implicated in multiple steps of cancer development and progression. Herein, we review recent findings about the role of NOTCH1 in lung cancer and discuss its potential usefulness as both a therapeutic target and a biomarker for lung cancer.

Abstract Background: A recent association study identified a common variant (rs9790517) at 4q24 to be associated with breast cancer risk. Independent association signals and potential functional variants in this locus have not been explored. Methods: We conducted a fine-mapping analysis in 55,540 breast cancer cases and 51,168 controls from the Breast Cancer Association Consortium. Results: Conditional analyses identified two independent association signals among women of European ancestry, represented by rs9790517 [conditional P = 2.51 × 10−4; OR, 1.04; 95% confidence interval (CI), 1.02–1.07] and rs77928427 (P = 1.86 × 10−4; OR, 1.04; 95% CI, 1.02–1.07). Functional annotation using data from the Encyclopedia of DNA Elements (ENCODE) project revealed two putative functional variants, rs62331150 and rs73838678 in linkage disequilibrium (LD) with rs9790517 (r2 ≥ 0.90) residing in the active promoter or enhancer, respectively, of the nearest gene, TET2. Both variants are located in DNase I hypersensitivity and transcription factor–binding sites. Using data from both The Cancer Genome Atlas (TCGA) and Molecular Taxonomy of Breast Cancer International Consortium (METABRIC), we showed that rs62331150 was associated with level of expression of TET2 in breast normal and tumor tissue. Conclusion: Our study identified two independent association signals at 4q24 in relation to breast cancer risk and suggested that observed association in this locus may be mediated through the regulation of TET2. Impact: Fine-mapping study with large sample size warranted for identification of independent loci for breast cancer risk. Cancer Epidemiol Biomarkers Prev; 24(11); 1680–91. ©2015 AACR.

Abstract Background: The Tumor Growth Factor-β (TGF-β) pathway is a potent tumor suppressor pathway. Its inactivation has been implicated in hepatocarcinogenesis. However, in patients with advanced stage Hepatocellular Carcinoma (HCC), TGF-β1 serum concentrations are elevated and correlated to tumor size, recurrence and shortened survival. The mechanisms mediating TGF-β1 ligand overexpression in HCC are unknown. Material and Methods: Immunohistochemical analysis of human HCC samples was performed using Tissue Micro Array. Established human HCC cell lines were used for in vitro studies. Gene expression was assessed by qRT-PCR, ELISA and immunoblot analysis. shRNA was used for gene silencing. Transcription factor DNA binding was evaluated by chromatin immunoprecipitation. For promoter analysis, transcription factor binding site containing DNA fragments were cloned into the enhancer or promoter position of luciferase expression vectors and subsequent transfected. Results: In up to 68% of advanced stage HCC tumors Stem Cell Factor (SCF) is overexpressed, and SMAD2 and STAT3 are constitutively activated. SCF expression in human HCC tumors is intratumorally and intracellularly correlated to expression of pSer465/467SMAD2 and pTyr705STAT3. In HCC cell lines, SCF stimulation induces TGF-β1 transcription, expression and secretion, all of which are abrogated by genetic silencing of STAT3. TGF-β1 stimulation of human HCC cells induces TGF-β1 transcription, and genetic silencing of SCF prevents TGF-β1 autoregulation. We identified two STAT3 recognition sites within the TGF-β1 gene. In human HCC cells, TGF-β1 stimulation results in STAT3 binding to one of the identified recognition sites. TGF-β1 activates luciferase expression vectors under control of the corresponding STAT3 binding site but not in its absence. TGF-β1-induced STAT3 binding and expression vector activation is abrogated in HCC cells with genetically silenced SCF. TGF-β1 induces SCF expression but SMAD2 knockdown inhibits TGF-β1-induced SCF transcription and expression. We identified 7 putative SMAD2-binding elements (SBE) within the SCF promoter. TGF-β1 stimulation results in SMAD2 binding to the SCF promoter and activation of luciferase expression vectors regulated by the SCF promoter; conversely, genetic silencing of SMAD2 abrogates TGF-β1-induced SCF promoter activation. Importantly, knockdown of SCF restored the antiproliferative functions of TGF-β, and prevented TGF-β-induced tumor cell migration and invasion. Conclusion: In advanced stage HCC, SCF drives TGF-β1 autoregulation through STAT3-mediated regulation of the TGF-β1 promoter. Thereby, SCF and TGF-β1 form a positive feedback loop that functionally switches the TGF-β pathway from a tumor suppressor to a tumor promoter in advanced stage HCC. Citation Format: Pingyu Zhang, Andres Rojas, Ying Wang, Nina M. Munoz, Lianchun Xiao, Jing Wang, Gregory J. Gores, Mien-Chie Hung, Boris R. A. Blechacz. A positive feedback loop between TGF-β and SCF mediates TGF-β1 ligand overexpression in advanced hepatocellular carcinoma. [abstract]. In: Proceedings of the 106th Annual Meeting of the American Association for Cancer Research; 2015 Apr 18-22; Philadelphia, PA. Philadelphia (PA): AACR; Cancer Res 2015;75(15 Suppl):Abstract nr 3911. doi:10.1158/1538-7445.AM2015-3911

Abstract Background: Current systemic agents for advanced Hepatocellular carcinoma (HCC) achieve minimal survival benefits. Tumor Growth Factor-β (TGF-β) is a potent tumor suppressor via its SMAD2/3 signaling axis; its inactivation has been implicated in hepatocarcinogenesis. Paradoxically, TGF-β serum concentrations are elevated in patients with advanced HCC. The TGF-β receptor is currently explored in clinical trials as a therapeutic target. However, the mechanisms mediating the functional switch of the TGF-β pathway to an oncogenic role in advanced HCC are unknown. Material and Methods: Gene expression profiling of human HCC was performed using the Oncomine database. Immunohistochemical analysis of human HCC samples was performed using Tissue Micro Arrays. Established human HCC cell lines were used for in vitro studies. Gene expression was assessed by qRT-PCR, ELISA and immunoblot analyses. shRNA was used for gene silencing. Cell cycle analysis was performed by FACS. Cell proliferation was assessed by microscopic quantification, MTS- and BrdU-assay. Apoptosis was analyzed by TUNEL assay and DAPI. Migration was evaluated by wound assay, and invasion by Boyden Chamber assay. Results: In human HCC, SMAD2 overexpression and decreased expression of the negative TGF-β/SMAD regulator SKI was correlated to shortened survival. Intranuclear pSer465/467-SMAD2 was identified in up to 65% of human HCC tumors, and correlated with TNM-stage, survival and pTyr705STAT3. In 50% of human HCC cell lines, the TGF-β/SMAD2 axis was functional. Exclusively in HCC cells with intact SMAD-signaling, TGF-β induced STAT3 Tyr705-phosporylation and nuclear translocation. We show that TGF-β1 transcriptionally regulates expression of the c-KIT ligand Stem Cell Factor (SCF). SCF is overexpressed in advanced HCC tumors, and correlated to pSMAD2, metastases and decreased survival. In human HCC cells, SCF activates STAT3 via auto- and paracrine stimulation of its cognate receptor c-KIT. TGF-β1-induced activation of STAT3 is inhibited by SCF-knockdown, inhibition of c-KIT or JAK1. The TGF-β1/STAT3 axis neutralizes the cell cycle inhibitory function of TGF-β in human HCC cell lines, and instead promotes EMT, tumor cell migration and invasion. Disruption of the TGF-β/STAT3 signaling axis inhibits its tumor promoting effects and restores TGF-β antiproliferative effects. Conclusion: In advanced HCC, TGF-β/SMAD2-signaling is constitutively activated and correlated to worse outcomes. The functional switch of TGF-β is mediated through aberrant expression of SCF with subsequent stimulation of the c-KIT/STAT3 signaling axis. Disruption of this axis restores TGF-β tumor suppressor function. Disruption of the molecular network between TGF-β1/SMAD2 and SCF/STAT3 constitutes a novel therapeutic strategy aiming at restoration of a dysregulated tumor suppressor. Citation Format: Andres Rojas, Pingyu Zhang, Ying Wang, Nina M. Munoz, Lianchun Xiao, Jing Wang, Gregory J. Gores, Mien-Chie Hung, Boris R. A. Blechacz. TGF-β/SMAD2 signaling drives tumor-progression via c-KIT/STAT3-signaling in advanced HCC. [abstract]. In: Proceedings of the 106th Annual Meeting of the American Association for Cancer Research; 2015 Apr 18-22; Philadelphia, PA. Philadelphia (PA): AACR; Cancer Res 2015;75(15 Suppl):Abstract nr 1962. doi:10.1158/1538-7445.AM2015-1962