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Measuring multiple parameters of CD8+ tumor-infiltrating lymphocytes in human cancers by image analysis

BACKGROUND: Immuno-oncology and cancer immunotherapies are areas of intense research. The numbers and locations of CD8+ tumor-infiltrating lymphocytes (TILs) are important measures of the immune response to cancer with prognostic, pharmacodynamic, and predictive potential. We describe the developmen...

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Autores principales: Steele, Keith E., Tan, Tze Heng, Korn, René, Dacosta, Karma, Brown, Charles, Kuziora, Michael, Zimmermann, Johannes, Laffin, Brian, Widmaier, Moritz, Rognoni, Lorenz, Cardenes, Ruben, Schneider, Katrin, Boutrin, Anmarie, Martin, Philip, Zha, Jiping, Wiestler, Tobias
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5839005/
https://www.ncbi.nlm.nih.gov/pubmed/29510739
http://dx.doi.org/10.1186/s40425-018-0326-x
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author Steele, Keith E.
Tan, Tze Heng
Korn, René
Dacosta, Karma
Brown, Charles
Kuziora, Michael
Zimmermann, Johannes
Laffin, Brian
Widmaier, Moritz
Rognoni, Lorenz
Cardenes, Ruben
Schneider, Katrin
Boutrin, Anmarie
Martin, Philip
Zha, Jiping
Wiestler, Tobias
author_facet Steele, Keith E.
Tan, Tze Heng
Korn, René
Dacosta, Karma
Brown, Charles
Kuziora, Michael
Zimmermann, Johannes
Laffin, Brian
Widmaier, Moritz
Rognoni, Lorenz
Cardenes, Ruben
Schneider, Katrin
Boutrin, Anmarie
Martin, Philip
Zha, Jiping
Wiestler, Tobias
author_sort Steele, Keith E.
collection PubMed
description BACKGROUND: Immuno-oncology and cancer immunotherapies are areas of intense research. The numbers and locations of CD8+ tumor-infiltrating lymphocytes (TILs) are important measures of the immune response to cancer with prognostic, pharmacodynamic, and predictive potential. We describe the development, validation, and application of advanced image analysis methods to characterize multiple immunohistochemistry-derived CD8 parameters in clinical and nonclinical tumor tissues. METHODS: Commercial resection tumors from nine cancer types, and paired screening/on-drug biopsies of non–small-cell lung carcinoma (NSCLC) patients enrolled in a phase 1/2 clinical trial investigating the PD-L1 antibody therapy durvalumab (NCT01693562), were immunostained for CD8. Additional NCT01693562 samples were immunostained with a CD8/PD-L1 dual immunohistochemistry assay. Whole-slide scanning was performed, tumor regions were annotated by a pathologist, and images were analyzed with customized algorithms using Definiens Developer XD software. Validation of image analysis data used cell-by-cell comparison to pathologist scoring across a range of CD8+ TIL densities of all nine cancers, relying primarily on 95% confidence in having at least moderate agreement regarding Lin concordance correlation coefficient (CCC = 0.88–0.99, CCC_lower = 0.65–0.96). RESULTS: We found substantial variability in CD8+ TILs between individual patients and across the nine types of human cancer. Diffuse large B-cell lymphoma had several-fold more CD8+ TILs than some other cancers. TIL densities were significantly higher in the invasive margin versus tumor center for carcinomas of head and neck, kidney and pancreas, and NSCLC; the reverse was true only for prostate cancer. In paired patient biopsies, there were significantly increased CD8+ TILs 6 weeks after onset of durvalumab therapy (mean of 365 cells/mm(2) over baseline; P = 0.009), consistent with immune activation. Image analysis accurately enumerated CD8+ TILs in PD-L1+ regions of lung tumors using the dual assay and also measured elongate CD8+ lymphocytes which constituted a fraction of overall TILs. CONCLUSIONS: Validated image analysis accurately enumerates CD8+ TILs, permitting comparisons of CD8 parameters among tumor regions, individual patients, and cancer types. It also enables the more complex digital solutions needed to better understand cancer immunity, like analysis of multiplex immunohistochemistry and spatial evaluation of the various components comprising the tumor microenvironment. TRIAL REGISTRATION: ClinicalTrials.gov identifier: NCT01693562. Study code: CD-ON-MEDI4736–1108. Interventional study (ongoing but not currently recruiting). Actual study start date: August 29, 2012. Primary completion date: June 23, 2017 (final data collection date for primary outcome measure). ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s40425-018-0326-x) contains supplementary material, which is available to authorized users.
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spelling pubmed-58390052018-03-09 Measuring multiple parameters of CD8+ tumor-infiltrating lymphocytes in human cancers by image analysis Steele, Keith E. Tan, Tze Heng Korn, René Dacosta, Karma Brown, Charles Kuziora, Michael Zimmermann, Johannes Laffin, Brian Widmaier, Moritz Rognoni, Lorenz Cardenes, Ruben Schneider, Katrin Boutrin, Anmarie Martin, Philip Zha, Jiping Wiestler, Tobias J Immunother Cancer Research Article BACKGROUND: Immuno-oncology and cancer immunotherapies are areas of intense research. The numbers and locations of CD8+ tumor-infiltrating lymphocytes (TILs) are important measures of the immune response to cancer with prognostic, pharmacodynamic, and predictive potential. We describe the development, validation, and application of advanced image analysis methods to characterize multiple immunohistochemistry-derived CD8 parameters in clinical and nonclinical tumor tissues. METHODS: Commercial resection tumors from nine cancer types, and paired screening/on-drug biopsies of non–small-cell lung carcinoma (NSCLC) patients enrolled in a phase 1/2 clinical trial investigating the PD-L1 antibody therapy durvalumab (NCT01693562), were immunostained for CD8. Additional NCT01693562 samples were immunostained with a CD8/PD-L1 dual immunohistochemistry assay. Whole-slide scanning was performed, tumor regions were annotated by a pathologist, and images were analyzed with customized algorithms using Definiens Developer XD software. Validation of image analysis data used cell-by-cell comparison to pathologist scoring across a range of CD8+ TIL densities of all nine cancers, relying primarily on 95% confidence in having at least moderate agreement regarding Lin concordance correlation coefficient (CCC = 0.88–0.99, CCC_lower = 0.65–0.96). RESULTS: We found substantial variability in CD8+ TILs between individual patients and across the nine types of human cancer. Diffuse large B-cell lymphoma had several-fold more CD8+ TILs than some other cancers. TIL densities were significantly higher in the invasive margin versus tumor center for carcinomas of head and neck, kidney and pancreas, and NSCLC; the reverse was true only for prostate cancer. In paired patient biopsies, there were significantly increased CD8+ TILs 6 weeks after onset of durvalumab therapy (mean of 365 cells/mm(2) over baseline; P = 0.009), consistent with immune activation. Image analysis accurately enumerated CD8+ TILs in PD-L1+ regions of lung tumors using the dual assay and also measured elongate CD8+ lymphocytes which constituted a fraction of overall TILs. CONCLUSIONS: Validated image analysis accurately enumerates CD8+ TILs, permitting comparisons of CD8 parameters among tumor regions, individual patients, and cancer types. It also enables the more complex digital solutions needed to better understand cancer immunity, like analysis of multiplex immunohistochemistry and spatial evaluation of the various components comprising the tumor microenvironment. TRIAL REGISTRATION: ClinicalTrials.gov identifier: NCT01693562. Study code: CD-ON-MEDI4736–1108. Interventional study (ongoing but not currently recruiting). Actual study start date: August 29, 2012. Primary completion date: June 23, 2017 (final data collection date for primary outcome measure). ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s40425-018-0326-x) contains supplementary material, which is available to authorized users. BioMed Central 2018-03-06 /pmc/articles/PMC5839005/ /pubmed/29510739 http://dx.doi.org/10.1186/s40425-018-0326-x Text en © The Author(s). 2018 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Research Article
Steele, Keith E.
Tan, Tze Heng
Korn, René
Dacosta, Karma
Brown, Charles
Kuziora, Michael
Zimmermann, Johannes
Laffin, Brian
Widmaier, Moritz
Rognoni, Lorenz
Cardenes, Ruben
Schneider, Katrin
Boutrin, Anmarie
Martin, Philip
Zha, Jiping
Wiestler, Tobias
Measuring multiple parameters of CD8+ tumor-infiltrating lymphocytes in human cancers by image analysis
title Measuring multiple parameters of CD8+ tumor-infiltrating lymphocytes in human cancers by image analysis
title_full Measuring multiple parameters of CD8+ tumor-infiltrating lymphocytes in human cancers by image analysis
title_fullStr Measuring multiple parameters of CD8+ tumor-infiltrating lymphocytes in human cancers by image analysis
title_full_unstemmed Measuring multiple parameters of CD8+ tumor-infiltrating lymphocytes in human cancers by image analysis
title_short Measuring multiple parameters of CD8+ tumor-infiltrating lymphocytes in human cancers by image analysis
title_sort measuring multiple parameters of cd8+ tumor-infiltrating lymphocytes in human cancers by image analysis
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5839005/
https://www.ncbi.nlm.nih.gov/pubmed/29510739
http://dx.doi.org/10.1186/s40425-018-0326-x
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