Transcriptional co-activator with PDZ-binding motif (TAZ) and yes-associated protein (YAP) are equivalently placed downstream effectors of the Hippo pathway with oncogenic roles in human cancers. However, the expression profiles of TAZ/YAP differ depending on the cancer cell type, suggesting that these proteins have different roles during cancer progression, yet no studies have examined the biological significance of the balance between TAZ and YAP expression levels. Here we examined the functional roles of TAZ/YAP in hepatocellular carcinoma (HCC) progression. We found that TAZ, but not YAP, was predominantly expressed in HCC. TAZ knockdown under normal conditions attenuated cell growth in HCC cells; however, TAZ knockdown combined with 5-fluorouracil treatment significantly increased chemoresistance compared to control cells. Notably, TAZ knockdown induced compensatory YAP expression and was accompanied by upregulation of CD90, a hepatocellular carcinoma-specific cancer stem cell marker. Continuous treatment with 5-fluorouracil also induced YAP expression and promoted tumor formation in vivo. Conversely, double knockdown of TAZ/YAP reduced chemoresistance and tumorigenicity. Moreover, YAP knockdown aggravated HCC cell growth to a greater degree than TAZ knockdown, and YAP overexpression was strongly associated with poor prognoses in patients with HCC. Collectively, these studies demonstrate that TAZ and YAP exhibit different functional roles in cancer progression, and a shift to predominant YAP expression upon TAZ depletion conferred cancer stem cell-like properties including chemoresistance and tumorigenicity in HCC. Therefore, targeting of both TAZ/YAP will be required for a complete antitumor response in HCC.
The PKC-NF{kappa}B Signaling Pathway Induces APOBEC3B Expression in Multiple Human Cancers
Overexpression of the antiviral DNA cytosine deaminase APOBEC3B has been linked to somatic mutagenesis in many cancers. HPV infection accounts for APOBEC3B upregulation in cervical and head/neck cancers, but the mechanisms underlying non-viral malignancies are unclear. In this study, we investigated the signal transduction pathways responsible for APOBEC3B upregulation. Activation of protein kinase C (PKC) by the diacylglycerol (DAG) mimic phorbol-myristic acid (PMA) resulted in specific and dose-responsive increases in APOBEC3B expression and activity, which could then be strongly suppressed by PKC or NFκB inhibition. PKC activation caused the recruitment of RELB, but not RELA, to the APOBEC3B promoter implicating non-canonical NFκB signaling. Notably, PKC was required for APOBEC3B upregulation in cancer cell lines derived from multiple tumor types. By revealing how APOBEC3B is upregulated in many cancers, our findings suggest that PKC and NFκB inhibitors may be repositioned to suppress cancer mutagenesis, dampen tumor evolution, and decrease the probability of adverse outcomes such as drug resistance and metastases.
Modeling and Metabolic MRI with Hyperpolarized Pyruvate
Hyperpolarized [1-13C]-pyruvate has shown tremendous promise as an agent for imaging tumor metabolism with unprecedented sensitivity and specificity. Imaging hyperpolarized substrates by magnetic resonance is unlike traditional MRI because signals are highly transient and their spatial distribution varies continuously over their observable lifetime. Therefore, new imaging approaches are needed to ensure optimal measurement under these circumstances. Constrained reconstruction algorithms can integrate prior information, including biophysical models of the substrate/target interaction, to reduce the amount of data that is required for image analysis and reconstruction. In this study, we show that metabolic MRI with hyperpolarized pyruvate is biased by tumor perfusion and present a new pharmacokinetic model for hyperpolarized substrates that accounts for these effects. The suitability of this model is confirmed by statistical comparison with alternates using data from 55 dynamic spectroscopic measurements in normal animals and murine models of anaplastic thyroid cancer, glioblastoma, and triple-negative breast cancer. The kinetic model was then integrated into a constrained reconstruction algorithm and feasibility was tested using significantly undersampled imaging data from tumor-bearing animals. Compared with naïve image reconstruction, this approach requires far fewer signal-depleting excitations and focuses analysis and reconstruction on new information that is uniquely available from hyperpolarized pyruvate and its metabolites, thus improving the reproducibility and accuracy of metabolic imaging measurements. Cancer Res; 75(22); 1–10. ©2015 AACR.
Kinetic modeling and constrained reconstruction of hyperpolarized 1-13C-pyruvate offers improved metabolic imaging of tumors
Hyperpolarized 1-13C-pyruvate has shown tremendous promise as an agent for imaging tumor metabolism with unprecedented sensitivity and specificity. Imaging hyperpolarized substrates by magnetic resonance is unlike traditional MRI because signals are highly transient and their spatial distribution varies continuously over their observable lifetime. Therefore, new imaging approaches are needed to ensure optimal measurement under these circumstances. Constrained reconstruction algorithms can integrate prior information, including biophysical models of the substrate/target interaction, to reduce the amount of data that is required for image analysis and reconstruction. In this study, we show that metabolic MRI with hyperpolarized pyruvate is biased by tumor perfusion, and present a new pharmacokinetic model for hyperpolarized substrates that accounts for these effects. The suitability of this model is confirmed by statistical comparison to alternates using data from 55 dynamic spectroscopic measurements in normal animals and murine models of anaplastic thyroid cancer, glioblastoma, and triple-negative breast cancer. The kinetic model was then integrated into a constrained reconstruction algorithm and feasibility was tested using significantly under-sampled imaging data from tumor-bearing animals. Compared to naïve image reconstruction, this approach requires far fewer signal-depleting excitations and focuses analysis and reconstruction on new information that is uniquely available from hyperpolarized pyruvate and its metabolites, thus improving the reproducibility and accuracy of metabolic imaging measurements.
Primary Myelofibrosis MSC Osteogenic Impairment
Primary myelofibrosis is a myeloproliferative neoplasm that is a precursor to myeloid leukemia. Dysmegakaryopoiesis and extramedullary hematopoiesis characterize primary myelofibrosis, which is also associated with bone marrow stromal alterations marked by fibrosis, neoangiogenesis, and osteomyelosclerosis. In particular, contributions to primary myelofibrosis from mesenchymal stromal cells (MSC) have been suggested by mouse studies, but evidence in humans remains lacking. In this study, we show that bone marrow MSCs from primary myelofibrosis patients exhibit unique molecular and functional abnormalities distinct from other myeloproliferative neoplasms and these abnormalities are maintained stably ex vivo in the absence of leukemic cells. Primary myelofibrosis-MSC overexpressed heparin-binding cytokines, including proinflammatory TGFβ1 and osteogenic BMP-2, as well as glycosaminoglycans such as heparan sulfate and chondroitin sulfate. Transcriptome and functional analyses revealed alterations in MSC differentiation characterized by an increased osteogenic potential and a TGFβ1 signaling signature. Accordingly, phospho-Smad2 levels were intrinsically increased in primary myelofibrosis-MSC along with enhanced expression of the master bone regulator RUNX2, while inhibition of the endogenous TGFβ1 receptor TGFβR1 impaired osteogenic differentiation in these MSCs. Taken together, our results define the source of a critical osteogenic function in primary myelofibrosis that supports its pathophysiology, suggesting that combined targeting of both the hematopoietic and stromal cell compartments in primary myelofibrosis patients may heighten therapeutic efficacy. Cancer Res; 75(22); 1–13. ©2015 AACR.


