Abstract PO-086: Local quantification of protein expression on frozen tissue sections to evaluate tumor heterogeneity

Author(s):  
Anna Fomitcheva Khartchenko ◽  
Peter Schraml ◽  
Govind V. Kaigala
Author(s):  
Donald J. Johann ◽  
Sumana Mukherjee ◽  
DaRue A. Prieto ◽  
Timothy D. Veenstra ◽  
Josip Blonder

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Tim Kümmel ◽  
Björn van Marwick ◽  
Miriam Rittel ◽  
Carina Ramallo Guevara ◽  
Felix Wühler ◽  
...  

AbstractFrozen section analysis is a frequently used method for examination of tissue samples, especially for tumour detection. In the majority of cases, the aim is to identify characteristic tissue morphologies or tumour margins. Depending on the type of tissue, a high number of misdiagnoses are associated with this process. In this work, a fast spectroscopic measurement device and workflow was developed that significantly improves the speed of whole frozen tissue section analyses and provides sufficient information to visualize tissue structures and tumour margins, dependent on their lipid and protein molecular vibrations. That optical and non-destructive method is based on selected wavenumbers in the mid-infrared (MIR) range. We present a measuring system that substantially outperforms a commercially available Fourier Transform Infrared (FT-IR) Imaging system, since it enables acquisition of reduced spectral information at a scan field of 1 cm2 in 3 s, with a spatial resolution of 20 µm. This allows fast visualization of segmented structure areas with little computational effort. For the first time, this multiphotometric MIR system is applied to biomedical tissue sections. We are referencing our novel MIR scanner on cryopreserved murine sagittal and coronal brain sections, especially focusing on the hippocampus, and show its usability for rapid identification of primary hepatocellular carcinoma (HCC) in mouse liver.


2014 ◽  
Vol 120 (1) ◽  
pp. 55-62 ◽  
Author(s):  
Rachel E. Kast ◽  
Gregory W. Auner ◽  
Mark L. Rosenblum ◽  
Tom Mikkelsen ◽  
Sally M. Yurgelevic ◽  
...  

2009 ◽  
Vol 35 (4) ◽  
pp. 399-407 ◽  
Author(s):  
Philip M. Kluin ◽  
Roel A. Weger ◽  
Henk-Jan Schuurman ◽  
Peter P. J. Peters ◽  
Philomé I. Spies ◽  
...  

2006 ◽  
Vol 2006 (1) ◽  
pp. pdb.prot4328
Author(s):  
Ed Harlow ◽  
David Lane

BioTechniques ◽  
1996 ◽  
Vol 21 (1) ◽  
pp. 38-44 ◽  
Author(s):  
Tamara Hiller ◽  
Linda Snell ◽  
Peter H. Watson

Cancers ◽  
2020 ◽  
Vol 12 (3) ◽  
pp. 563 ◽  
Author(s):  
Elisabeth S. Gruber ◽  
Georg Oberhuber ◽  
Dietmar Pils ◽  
Theresa Stork ◽  
Katharina Sinn ◽  
...  

Background: T cell density in colorectal cancer (CRC) has proven to be of high prognostic importance. Here, we evaluated the influence of a hyperfractionated preoperative short-term radiation protocol (25 Gy) on immune cell density in tumor samples of rectal cancer (RC) patients and on patient survival. In addition, we assessed spatial tumor heterogeneity by comparison of analogue T cell quantification on full tissue sections with digital T cell quantification on a virtually established tissue microarray (TMA). Methods: A total of 75 RC patients (60 irradiated, 15 treatment-naïve) were defined for retrospective analysis. RC samples were processed for immunohistochemistry (CD3, CD8, PD-1, PD-L1). Analogue (score 0–3) as well as digital quantification (TMA: 2 cores vs. 6 cores, mean T cell count) of marker expression in 2 areas (central tumor, CT; invasive margin, IM) was performed. Survival was estimated on the basis of analogue as well as digital marker densities calculated from 2 cores (Immunoscore: CD3/CD8 ratio) and 6 cores per tumor area. Results: Irradiated RC samples showed a significant decrease in CD3 and CD8 positive T cells, independent of quantification mode. T cell densities of 6 virtual cores approximated to T cell densities of full tissue sections, independent of individual core density or location. Survival analysis based on full tissue section quantification demonstrated that CD3 and CD8 positive T cells as well as PD-1 positive tumor infiltrating leucocytes (TILs) in the CT and the IM had a significant impact on disease-free survival (DFS) as well as overall survival (OS). In addition, CD3 and CD8 positive T cells as well as PD-1 positive TILs in the IM proved as independent prognostic factors for DFS and OS; in the CT, PD-1 positive TILs predicted DFS and CD3 and CD8 positive T cells as well as PD-1 positive TILs predicted OS. Survival analysis based on virtual TMA showed no impact on DFS or OS. Conclusion: Spatial tumor heterogeneity might result in inadequate quantification of immune marker expression; however, if using a TMA, 6 cores per tumor area and patient sample represent comparable amounts of T cell densities to those quantified on full tissue sections. Consistently, the tissue area used for immune marker quantification represents a crucial factor for the evaluation of prognostic and predictive biomarker potential.


Blood ◽  
1965 ◽  
Vol 26 (2) ◽  
pp. 215-219 ◽  
Author(s):  
LEONARD S. KAPLOW ◽  
Charlotte Ladd

Abstract A method is described for demonstrating leukocyte peroxidase activity in which benzidine dihydrochloride is used as the indicator compound instead of the more commonly used but potentially more hazardous benzidine base. The method is highly sensitive and rapid and permits the use of fixed blood smears and organ imprints. The incubation mixture, which incorporates safranin as a counterstain, may be used over and over again, for as long as 6 months. The method is also applicable to fresh frozen tissue sections.


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