The Activated Stroma Index Is a Novel and Independent Prognostic Marker in Pancreatic Ductal Adenocarcinoma  Mert Erkan, Christoph W. Michalski, Simon.

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The Activated Stroma Index Is a Novel and Independent Prognostic Marker in Pancreatic Ductal Adenocarcinoma  Mert Erkan, Christoph W. Michalski, Simon Rieder, Carolin Reiser–Erkan, Ivane Abiatari, Armin Kolb, Nathalia A. Giese, Irene Esposito, Helmut Friess, Jörg Kleeff  Clinical Gastroenterology and Hepatology  Volume 6, Issue 10, Pages 1155-1161 (October 2008) DOI: 10.1016/j.cgh.2008.05.006 Copyright © 2008 AGA Institute Terms and Conditions

Figure 1 PSC patterns of activity with respect to collagen deposition and image analysis. α-SMA specifically stains the PSCs and vascular smooth muscle cells, whereas all other structures within the pancreas remain nonstained (A with hematoxylin counterstaining, B without counterstaining). (C) Aniline is a collagen-specific dye that does not stain any other structure (magnification, 100×). Scanned images of tissues; peritumoral chronic pancreatitis-like changes stained for (D) α-SMA and (E) aniline. (D and E) In periacinar spaces prominent α-SMA staining was visible where collagen had not yet been deposited (arrows). (F and J) Notice the increased density of α-SMA–expressing PSCs that are located in the immediate vicinity of cancer cells (arrows) and (G) stromal collagen deposition. Sections were scanned with the Nikon coolscan V at 4000 dots per inch. The digital images then were analyzed in single color for the total surface area (in pixels) versus the stained area using Adobe Photoshop 7.0. The upper and the lower input levels were overlapped to create black or white images (blue and white for aniline) without an intermediate zone. The ideal sensitivity of detection was achieved when the point of overlap corresponded to the vertex of the initial exponential phase of the histogram curve. Appearance of a section after image processing for (H) α-SMA and (I) collagen. Comparison of image quality: (J) Zeiss Axiocam 3.1 system coupled with the KS300 3.0 program at 50× magnification. (K) Magnified picture of the framed area in the scanned image (H). Clinical Gastroenterology and Hepatology 2008 6, 1155-1161DOI: (10.1016/j.cgh.2008.05.006) Copyright © 2008 AGA Institute Terms and Conditions

Figure 2 Patterns of stellate cell activity and collagen deposition around cancer structures. Immunohistochemistry analysis was performed using an anti–α-SMA antibody to detect activated PSCs and aniline to stain collagen fibers (magnification, 200×). (A and C) Within the cancerous area, the density of activated PSCs increased around cancer (unstained) structures. (A and B) Collagen deposition generally colocalized with the areas of activated PSCs. (C and D) In some sections there were fewer PSCs where prominent collagen deposition was seen. (E and F) In some other sections, although the PSC activity was intense, the collagen deposition was very low. Clinical Gastroenterology and Hepatology 2008 6, 1155-1161DOI: (10.1016/j.cgh.2008.05.006) Copyright © 2008 AGA Institute Terms and Conditions

Figure 3 Correlation of collagen deposition, α-SMA expression, and ASI with survival of patients. Median values of the cohort for α-SMA and aniline staining were taken as cut-off limits to define groups with high (green line) and low (blue line) PSC activity as well as high (green line) and low (blue line) collagen deposition, respectively. The median survival of patients in these groups was compared with Kaplan-Meier analysis and the log-rank test. Survival analysis of patients with (A) high versus low PSC activity and (B) high versus low collagen deposition. The ratio of the α-SMA–stained area to the collagen-stained area was used to define the ASI. (C) Four quartiles with equal patient numbers were created using the cut-off values shown. (D) When the survival of patients in each quartile was compared, the survival of patients decreased as ASI increased. Clinical Gastroenterology and Hepatology 2008 6, 1155-1161DOI: (10.1016/j.cgh.2008.05.006) Copyright © 2008 AGA Institute Terms and Conditions