Abstract
Abstract Quantification of tumor-infiltrating lymphocytes (TILs) in non-small cell lung cancers (NSCLC) is valuable for understanding patient prognosis and survival. TILs comprise a subset of tumor-infiltrating leukocytes that modulate immune evasion and response to therapy. Understanding the composition of TIL subsets, especially relative to the total tumor leukocyte population, may provide additional context for understanding NSCLC pathogenesis and patient response to treatment. However, availability of tissues and use of chromogenic assays can limit the number of TIL and leukocyte subset markers assayed in a tissue section. Therefore, this study evaluated the identification of total leukocyte component in NSCLC using morphometric parameters and routine TIL marker monoplex immunohistochemistry (IHC) assays to further identify the composition of TIL subsets. Computational Tissue Analysis (cTA™) tools were used to determine the morphometric parameters which could identify immune cells in the absence of biomarker stain. The morphometric features which characterized immune infiltrates were used to quantify the total immune cell population frequency in the tumor nests and surrounding stroma in hematoxylin-stained tissues. The leukocyte population identified with morphometric parameters was correlated with CD45+ cell frequencies identified by cTA based on biomarker staining in CD45-stained serial sections. This morphometric ruleset was then applied to CD3- and CD8-stained tissues to evaluate the frequency of CD3+ and CD8+ TILs in the context of total infiltrating leukocytes. The relative populations of CD3+ and CD8+ TILs were consistent with available literature demonstrating that the morphometric ruleset could be utilized to enable evaluation of TIL sub-types relative to total leukocyte population without the need for additional IHC stains. The approach could, therefore, provide an added dimension of analysis for tissues stained by IHC for identifying the total immune cell infiltrating component without requiring additional biomarker staining. Citation Format: Elliott Ergon, Allison S. Harney, Nathan Martin, Will Paces, Famke Aeffner, Kristin Wilson, Janet Patterson-Kane, Karen Ryall, Daniel G. Rudmann, Brooke Hirsch, Joseph Krueger. Quantifying tumor-infiltrating leukocytes in hematoxylin stained NSCLC tissue samples using morphometric features [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2017; 2017 Apr 1-5; Washington, DC. Philadelphia (PA): AACR; Cancer Res 2017;77(13 Suppl):Abstract nr 1674. doi:10.1158/1538-7445.AM2017-1674
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
