Quantifying cell-type interactions and their spatial patterns as prognostic biomarkers in follicular lymphoma
| Autor: | Martin Fergie, Sophie Fitzpatrick, Kang Zeng, Anna Maria Tsakiroglou, Lilli Nelson, Catharine M L West, Richard J. Byers, Susan M. Astley, Kim Linton, Garry Ashton |
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| Rok vydání: | 2018 |
| Předmět: |
Cell type
Pathology medicine.medical_specialty Architectural heterogeneity Tissue microarray Manchester Cancer Research Centre medicine.diagnostic_test Microarray CD68 ResearchInstitutes_Networks_Beacons/mcrc Follicular lymphoma Biomarker Biology Multiplexed immunouorescence Prognostic Immunofluorescence medicine.disease Hypothesized Inter-Action Distribution (HID) medicine Immunohistochemistry CD8 |
| Zdroj: | Medical Imaging: Digital Pathology Tsakiroglou, A M, Fergie, M, West, C, Linton, K, Astley, S, Byers, R, Fitzpatrick, S, Zeng, K, Ashton, G & Nelson, L 2018, ' Quantifying cell-type interactions and their spatial patterns as prognostic biomarkers in follicular lymphoma ', Proceedings Of The Society Of Photo-Optical Instrumentation Engineers (Spie), . https://doi.org/10.1117/12.2293572 |
| DOI: | 10.1117/12.2293572 |
| Popis: | Background: Observing the spatial pattern of tumour infiltrating lymphocytes in follicular lymphoma can lead to the development of promising novel biomarkers for survival prognosis. We have developed the “Hypothesised Interactions Distribution” (HID) analysis, to quantify the spatial heterogeneity of cell type interactions between lymphocytes in the tumour microenvironment. HID features were extracted to train a machine learning model for survival prediction and their performance was compared to other architectural biomarkers. Scalability ofthe method was examined by observing interactions between cell types that were identified using 6-plexed immunofluorescent staining. Methods: Two follicular lymphoma datasets were used in this study; a microarray with tissue cores from patients, stained with CD69, CD3 and FOXP3 using multiplexed brightfield immunohistochemistry and a second tissue microarray, stained with PD1, PDL1, CD4, FOXP3, CD68 and CD8 using immunofluorescence. Spectral deconvolution, nuclei segmentation and cell type classification was carried out, followed by extraction of features based on cell type interaction probabilities. Random Forest classifiers were built to assign patients into groups of different overall survival and the performance of HID features was assessed.Results: HID features constructed over a range of interaction distances were found to significantly predict overall survival in both datasets (p = 0.0363, p = 0.0077). Interactions of specific phenotype pairs, correlated with unfavourableprognosis, could be identified, such as the interactions between CD3+FOXP3+ cells and CD3+CD69+ cells. Conclusion: Further validation of HID demonstrates its potential for development of clinical biomarkers in follicular lymphoma. |
| Databáze: | OpenAIRE |
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