Quantifying cell-type interactions and their spatial patterns as prognostic biomarkers in follicular lymphoma

Anna Maria Tsakiroglou, Martin Fergie, Catharine West, Kim Linton, Sue Astley, Richard Byers, Sophie Fitzpatrick, Kang Zeng, Garry Ashton, Lilli Nelson

Research output: Contribution to journalConference articlepeer-review

209 Downloads (Pure)

Abstract

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 of
the 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.
Original languageEnglish
Article number105810G
Number of pages11
JournalProceedings Of The Society Of Photo-Optical Instrumentation Engineers (Spie),
DOIs
Publication statusPublished - 6 Mar 2018

Keywords

  • Architectural heterogeneity
  • Biomarker
  • Follicular lymphoma
  • Hypothesized Inter-Action Distribution (HID)
  • Multiplexed immunouorescence
  • Prognostic

Research Beacons, Institutes and Platforms

  • Manchester Cancer Research Centre

Fingerprint

Dive into the research topics of 'Quantifying cell-type interactions and their spatial patterns as prognostic biomarkers in follicular lymphoma'. Together they form a unique fingerprint.

Cite this