A comparison of methods for studying the tumor microenvironment's spatial heterogeneity in digital pathology specimens
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Background: The tumor microenvironment is highly heterogeneous, and it is understood to affect tumor progression and patient outcome. A number of studies have reported the prognostic significance of tumor-infiltrating lymphocytes and tumor budding in colorectal cancer. However, the significance of the intra-tumoral heterogeneity present in the spatial distribution of these features within the tumor immune microenvironment (TIME) has not been previously reported. Evaluating this intra-tumoral heterogeneity may aid the understanding of the TIME’s effect on patient prognosis as well as identify novel aggressive phenotypes which can be further investigated as potential targets for new treatment. Methods: In this study we propose and apply two spatial statistical methodologies for the evaluation of the intra-tumor heterogeneity present in the distribution of CD3+ and CD8+ lymphocytes and tumor buds in 232 stage II colorectal cancer cases. Getis-Ord hotspot analysis was applied to quantify the cold and hotspots, defined as regions with a significantly low or high number of each feature of interest, respectively. A novel spatial heatmap methodology for the quantification of the cold and hotspots of each feature of interest, which took into account both the inter-patient heterogeneity and the intra-tumor heterogeneity, was further developed. Results: Resultant data from each analysis, characterizing the spatial intra-tumor heterogeneity of lymphocytes and tumor buds, were used for the development of two new highly prognostic risk models. Conclusions: Our results highlight the value of applying spatial statistics for the assessment of the intra-tumor heterogeneity. Both Getis-Ord hotspot and our proposed Spatial Heatmap analysis are broadly applicable across other tissue types as well as other features of interest.
Nearchou , I P , Soutar , D A , Ueno , H , Harrison , D J , Arandelovic , O & Caie , P D 2021 , ' A comparison of methods for studying the tumor microenvironment's spatial heterogeneity in digital pathology specimens ' , Journal of Pathology Informatics , vol. 12 , 6 . https://doi.org/10.4103/jpi.jpi_26_20
Journal of Pathology Informatics
Copyright © 2021 Journal of Pathology Informatics | Published by Wolters Kluwer - Medknow. This is an open access journal, and articles are distributed under the terms of the Creative Commons Attribution‑NonCommercial‑ShareAlike 4.0 License, which allows others to remix, tweak, and build upon the work non‑commercially, as long as appropriate credit is given and the new creations are licensed under the identical terms.
DescriptionThis study was supported by Lothian University Hospitals, Medical Research Scotland and Indica Labs, Inc. Indica Labs, Inc. also provided in-kind resource.
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