Abstract 712: Parf-1A (Partner of ARF isoform 1A) promotes oxaliplatin resistance and is a new prognostic marker of survival in pancreatic ductal adenocarcinoma

Pancreatic ductal adenocarcinoma (PDAC) is an incurable malignancy with ineffective treatments and dismal median survival. The INK4a/ARF locus, which encodes the alternative reading frame (ARF) tumor suppressor, is commonly inactivated in PDAC tumors. We recently discovered Parf-1A, a novel “Partner of ARF” whose role in ARF signaling and tumorigenesis is not known. Parf-1A is highly expressed in the normal pancreas and microarray databases suggest Parf expression is altered (both up- and down-regulated) in human PDAC tumors. We generated Parf-1A specific antibodies and examined its protein levels by immunohistochemistry in PDAC tumors from patients who underwent resective surgery. Parf-1A expression was altered in 72% of tumors (33% reduced, 39% elevated) compared to adjacent normal ductal tissue. Tumors with the highest Parf-1A levels were significantly associated with poor patient outcome (median survival 6 months) while patients with undetectable Parf-1A in tumors had a dramatically extended lifespan (median survival 59 months, p=0.0037). Notably, Parf-1A knockdown in cultured PDAC cells increased the p53-independent growth inhibitory activity of ARF. Parf-1A loss also sensitized PDAC cells to oxaliplatin, a chemotherapeutic agent used in combination with gemcitabine to treat PDAC patients. This work identifies Parf-1A as a new inhibitor of ARF p53-independent activity that promotes PDAC chemoresistance in vitro and is a novel prognostic marker of survival in PDAC patients.

Citation Format: {Authors}. {Abstract title} [abstract]. In: Proceedings of the 103rd Annual Meeting of the American Association for Cancer Research; 2012 Mar 31-Apr 4; Chicago, IL. Philadelphia (PA): AACR; Cancer Res 2012;72(8 Suppl):Abstract nr 712. doi:1538-7445.AM2012-712

An automated segmentation approach for highlighting the histological complexity of human lung cancer

Lung cancer nodules, particularly adenocarcinoma, contain a complex intermixing of cellular tissue types: incorporating cancer cells, fibroblastic stromal tissue, and inactive fibrosis. Quantitative proportions and distributions of the various tissue types may be insightful for understanding lung cancer growth, classification, and prognostic factors. However, current methods of histological assessment are qualitative and provide limited opportunity to systematically evaluate the relevance of lung nodule cellular heterogeneity. In this study we present both a manual and an automatic method for segmentation of tissue types in histological sections of resected human lung cancer nodules. A specialized staining approach incorporating immunohistochemistry with a modified Masson's Trichrome counterstain was employed to maximize color contrast in the tissue samples for automated segmentation. The developed, clustering-based, fully automated segmentation approach segments complete lung nodule cross-sectional histology slides in less than 1 min, compared to manual segmentation which requires multiple hours to complete. We found the accuracy of the automated approach to be comparable to that of the manual segmentation with the added advantages of improved time efficiency, removal of susceptibility to human error, and 100% repeatability.

A process model for direct correlation between computed tomography and histopathology application in lung cancer

RATIONALE AND OBJECTIVES

Multimodal imaging techniques for capturing normal and diseased human anatomy and physiology are being developed to benefit patient clinical care, research, and education. In the past, the incorporation of histopathology into these multimodal datasets has been complicated by the large differences in image quality, content, and spatial association.

MATERIALS AND METHODS

We have developed a novel system, the large-scale image microtome array (LIMA), to bridge the gap between nonstructurally destructive and destructive imaging such that reliable registration between radiological data and histopathology can be achieved. Registration algorithms have been designed to align the multimodal datasets, which include computed tomography, computed micro-tomography, LIMA, and histopathology data to a common coordinate system.

RESULTS

The resulting volumetric dataset provides an abundance of valuable information relating to the tissue sample including density, anatomical structure, color, texture, and cellular information in three dimensions. An image processing pipeline has been established to register all the multimodal data to a common coordinate system.

CONCLUSION

In this study, we have chosen to use human lung cancer nodules as an example; however, the flexibility of the image acquisition and subsequent processing algorithms makes it applicable to any soft organ tissue. A novel process model has been established to generate cross registered multimodal datasets for the investigation of human lung cancer nodule content and associated image-based representation.

Regulation of 14-3-3sigma expression in human thyroid carcinoma is epigenetically regulated by aberrant cytosine methylation

Increased 14-3-3sigma expression has been observed by immunohistochemistry in papillary and anaplastic tumors, but not follicular thyroid cancers. 14-3-3sigma mRNA expression and methylation status was examined in tumor cell lines and primary thyroid tissues using real-time RT-PCR, bisulfite sequencing and methylation-specific PCR. Most of the 27 CpG's in the gene's CpG island were methylated in normal thyroid, TPC-1, NPA, FTC-238 and 2-7, which did not express 14-3-3sigma. In contrast, they were unmethylated in KAK-1 and anaplastic lines KAT4 and DRO-90. 14-3-3sigma expression was not increased in thyroid carcinomas, the majority of which had a methylated CpG island. In addition, 5-aza-dC treatment increased 14-3-3sigma expression in the FTC-238 and NPA cell lines, which had low baseline expression. We conclude 14-3-3sigma expression in thyroid carcinomas is regulated by CpG island hypermethylation.

Differential expression of stress-inducible proteins in chronic hepatic iron overload

INTRODUCTION

Oxidative stress can trigger a cellular stress response characterized by induction of antioxidants, acute phase reactants (APRs) and heat shock proteins (HSPs), which are presumed to play a role in limiting tissue damage. In rodents, hepatic iron overload causes oxidative stress that results in upregulation of antioxidant defenses with minimal progressive liver injury. The aim of this study was to determine whether iron overload modulates expression of other stress-responsive proteins such as APRs and HSPs that may confer protection against iron-induced damage in rodent liver.

METHODS

Male rats received repeated injections of iron dextran or dextran alone over a 6-month period. Hepatic transcript levels for a panel of APRs and HSPs were quantitated by real-time PCR and protein expression was evaluated by Western blot and immunohistochemistry.

RESULTS

Hepatic iron concentrations were increased >50-fold in the iron-loaded rats compared to controls. Iron loading resulted in striking increases in mRNAs for Hsp32 (heme oxygenase-1; 12-fold increase vs. controls) and metallothionein-1 and -2 (both increased approximately 6-fold). Transcripts for alpha1-acid glycoprotein, the major rat APR, were increased approximately 3-fold, while expression of other classical APRs was unaltered. Surprisingly, although mRNA levels for the HSPs were not altered by iron, the abundance of Hsp25, Hsp70 and Hsp90 proteins was uniformly reduced in the iron-loaded livers, as were levels of NAD(P)H:quinone oxidoreductase 1, an Hsp70 client protein.

CONCLUSIONS

Chronic iron administration elicits a unique pattern of stress protein expression. These alterations may modulate hepatic responses to iron overload, as well as other injury processes.

Chronic iron overload stimulates hepatocyte proliferation and cyclin D1 expression in rodent liver

Hepatomegaly is commonly observed in hepatic iron overload due to human hemochromatosis and in animal models of iron loading, but the mechanisms underlying liver enlargement in these conditions have received scant attention. In this study, male rats were treated with iron dextran or dextran alone for 6 months. Chronic iron loading resulted in a > 50-fold increase in hepatic iron concentration. Both liver weights and liver/body weight ratios were increased approximately 2-fold in the iron-loaded rats (P < 0.001 for both). Hepatocyte nuclei expressing proliferating cell nuclear antigen (PCNA), a marker of S phase, were significantly increased in the iron-loaded livers, suggesting enhanced proliferation. To assess the mechanisms by which iron promotes proliferation, the expression of tumor necrosis factor-alpha (TNF-alpha), interleukin (IL)-6, hepatocyte growth factor (HGF), and transforming growth factor-alpha (TGF-alpha) were assessed by reverse transcription-polymerase chain reaction (RT-PCR). Of these growth-associated factors, only TNF-alpha messenger RNA (mRNA) was significantly increased by iron loading (about 3-fold; P = 0.005). Because cyclin D1 is required for entry of hepatocytes into the cell cycle after partial hepatectomy or treatment with direct mitogens, levels of immunoreactive cyclin D1 were examined and found to be significantly increased in the iron-loaded livers. The increase in cyclin D1 protein in the iron-loaded livers was paralleled by an increase in the abundance of its transcript as measured by real-time PCR. Taken together, these results suggest that iron is a direct mitogen in the liver and raise the possibility that chronic stimulation of hepatocyte proliferation may play a role in the pathophysiology of iron overload states.

Low-level endotoxin induces potent inflammatory activation of human blood vessels: inhibition by statins

BACKGROUND

Low-level endotoxemia (ie, >or=50 pg/mL) in apparently healthy subjects was recently identified as a powerful, independent risk factor for atherosclerosis.

METHODS AND RESULTS

We treated human saphenous veins (HSVs) with low levels of endotoxin. Release of the proinflammatory chemokines interleukin-8 (IL-8) and monocyte chemoattractant protein-1 (MCP-1) was measured by ELISA. Superoxide was determined by using the fluorescent probe dihydroethidium (HE), and monocyte binding was assessed with calcein-labeled U-937 cells. Three- to 4-fold increases in MCP-1 and IL-8 release were observed at endotoxin concentrations of 100 pg/mL; these increases were inhibited by the 3-hydroxy-3-methylglutaryl coenzyme A reductase inhibitor atorvastatin. Studies in cultured endothelial cells suggest that the mechanism is related to inhibition of isoprenylation (ie, geranylgeranylation) rather than cholesterol formation. Endotoxin produced dose-dependent increases in HE fluorescence that were inhibited by the superoxide dismutase mimics Tiron and MnTBAP. Endotoxin potently induced U-937 cell binding to HSV; binding was inhibited by both Tiron and atorvastatin. Toll-like receptor-4 expression was detected in cultured HSV endothelial and smooth muscle cells and in intact HSV.

CONCLUSIONS

Clinically relevant levels of endotoxin, as reported in ambulatory populations, have profound inflammatory effects on intact HSV. Inhibition of endotoxin-induced vascular inflammation might contribute to the beneficial effects of statins in treating atherosclerosis.

XS-0

XS-0 is a low-cost interactive system that serves as a self-explanatory school computer. Particular attention has been devoted to making the man-machine dialog easy to follow for the inexperienced user. The system includes a course on computer programming, a programming system for writing, editing, executing, and debugging programs interactively, and a filing system containing private and public libraries. The language offered to the user is a version of Pascal. The system is realized on a small stand-alone computer which supports a small number of graphic terminals. This hardware consists of the most cost effective components currently on the market.