Citations

In response to inflammation, pancreatic acinar cells can undergo acinar-to-ductal metaplasia (ADM), a reprogramming event that induces transdifferentiation to a ductlike phenotype and, in the context of additional oncogenic stimulation, contributes to development of pancreatic cancer. The signaling mechanisms underlying pancreatitis-inducing ADM are largely undefined. Our results provide evidence that macrophages infiltrating the pancreas drive this transdifferentiation process. We identify the macrophage-secreted inflammatory cytokines RANTES and tumor necrosis factor α (TNF) as mediators of such signaling. Both RANTES and TNF induce ADM through activation of nuclear factor κB and its target genes involved in regulating survival, proliferation, and degradation of extracellular matrix. In particular, we identify matrix metalloproteinases (MMPs) as targets that drive ADM and provide in vivo data suggesting that MMP inhibitors may be efficiently applied to block pancreatitis-induced ADM in therapy.

Abstract Pancreatic cancer is the most lethal type of cancer due to its high proliferation, metastasis and resistance to chemotherapy. In pancreatic cancer, pancreatic ductal adenocacinoma (PDAC) is the most common form. Current opinion is that PDAC originates from acinar or centroacinar cells though a process called “acinar-to-ductal metaplasia” (ADM). During ADM, acinar cells undergo a transformation to ductal PanIN (pancreatic intraepithelial neoplasia) cells, which is believed as the first step in PDAC formation. Transforming growth factor α (TGFα) is produced by pancreatic cancer cells and promotes tumor growth. In an ex vivo explant culture system, TGFα transforms murine pancreatic acinar cells into ductal cells. Here we describe a cell signaling pathway that TGFα utilizes to induce acinar-to-ductal transformation. We show that K-ras is downstream of TGFα and is sufficient to drive ADM. We further show the mechanisms that K-ras uses to induce cell structural rearrangement of acinar cells. Citation Format: {Authors}. {Abstract title} [abstract]. In: Proceedings of the 102nd Annual Meeting of the American Association for Cancer Research; 2011 Apr 2-6; Orlando, FL. Philadelphia (PA): AACR; Cancer Res 2011;71(8 Suppl):Abstract nr 1123. doi:10.1158/1538-7445.AM2011-1123

Background— Factors that determine survival in pulmonary arterial hypertension (PAH) drive clinical management. A quantitative survival prediction tool has not been established for research or clinical use. Methods and Results— Data from 2716 patients with PAH enrolled consecutively in the US Registry to Evaluate Early and Long-Term PAH Disease Management (REVEAL) were analyzed to assess predictors of 1-year survival. We identified independent prognosticators of survival and derived a multivariable, weighted risk formula for clinical use. One-year survival from the date of enrollment was 91.0% (95% confidence interval [CI], 89.9 to 92.1). In a multivariable analysis with Cox proportional hazards, variables independently associated with increased mortality included pulmonary vascular resistance >32 Wood units (hazard ratio [HR], 4.1; 95% CI, 2.0 to 8.3), PAH associated with portal hypertension (HR, 3.6; 95% CI, 2.4 to 5.4), modified New York Heart Association/World Health Organization functional class IV (HR, 3.1; 95% CI, 2.2 to 4.4), men >60 years of age (HR, 2.2; 95% CI, 1.6 to 3.0), and family history of PAH (HR, 2.2; 95% CI, 1.2 to 4.0). Renal insufficiency, PAH associated with connective tissue disease, functional class III, mean right atrial pressure, resting systolic blood pressure and heart rate, 6-minute walk distance, brain natriuretic peptide, percent predicted carbon monoxide diffusing capacity, and pericardial effusion on echocardiogram all predicted mortality. Based on these multivariable analyses, a prognostic equation was derived and validated by bootstrapping technique. Conclusions— We identified key predictors of survival based on the patient’s most recent evaluation and formulated a contemporary prognostic equation. Use of this tool may allow the individualization and optimization of therapeutic strategies. Serial follow-up and reassessment are warranted. Clinical Trial Registration— URL: http://www.clinicaltrials.gov. Unique identifier: NCT00370214.

Some 5 years ago, it was first discovered that mutations in the gene encoding LRRK2 (leucine-rich repeat protein kinase 2) are tightly linked with a subset of familial PD (Parkinson's disease). Before this genetic association, LRRK2 had never been investigated biochemically. Now it is of utmost importance to establish whether LRRK2 is a bona fide kinase in vitro and in vivo and to understand how mutations of LRRK2 lead to the specific loss of dopaminergic neurons in the substantia nigra to cause PD. In spite of tremendous efforts in the research community, there is no consensus with regard to the magnitude of the enzymatic activity of LRRK2 mutant forms that segregate with PD owing, in part, to the lack of a highly sensitive kinase assay system, and it is still unclear whether an abnormal increase in kinase activity is responsible for LRRK2-associated PD. As described in this issue of the Biochemical Journal, Nichols et al. have developed an extensive set of molecular tools, including an optimized peptide substrate for determining in vitro kinase activity of LRRK2, a set of kinase inhibitors that can be used to explore LRRK2 substrate specificity and biology, a much-needed murine-specific antibody for immunoprecipation, and efficient gene-silencing approaches. In the present commentary, we discuss some of the components of this new LRRK2 biochemical toolbox and how they can be used to better understand this enigmatic kinase.