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SYMPOSIUM - ORIGINAL RESEARCH
Year : 2013  |  Volume : 4  |  Issue : 2  |  Page : 4

A statistical framework for analyzing hypothesized interactions between cells imaged using multispectral microscopy and multiple immunohistochemical markers


1 Centre for Imaging Sciences, Institute for Population Health; The University of Manchester Biomedical Imaging Institute; Manchester Academic Health Science Centre, The University of Manchester, Manchester, United Kingdom
2 Central Manchester University Hospitals NHS Foundation Trust; School of Medicine, Faculty of Medical and Human Sciences, The University of Manchester, Manchester, United Kingdom
3 Manchester Academic Health Science Centre; Institute of Cancer Sciences, Faculty of Medical and Human Sciences, The University of Manchester; The Christie NHS Foundation Trust, Manchester, United Kingdom
4 Manchester Academic Health Science Centre; Central Manchester University Hospitals NHS Foundation Trust; Institute of Cancer Sciences, Faculty of Medical and Human Sciences, The University of Manchester, Manchester, United Kingdom

Correspondence Address:
Chris J Rose
Centre for Imaging Sciences, Institute for Population Health; The University of Manchester Biomedical Imaging Institute; Manchester Academic Health Science Centre, The University of Manchester, Manchester
United Kingdom
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Source of Support: None, Conflict of Interest: None


DOI: 10.4103/2153-3539.109856

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Background: Multispectral microscopy and multiple staining can be used to identify cells with distinct immunohistochemical (IHC) characteristics. We present here a method called hypothesized interaction distribution (HID) analysis for characterizing the statistical distribution of pair-wise spatial relationships between cells with particular IHC characteristics and apply it to clinical data. Materials and Methods: We retrospectively analyzed data from a study of 26 follicular lymphoma patients in which sections were stained for CD20 and YY1. HID analysis, using leave-one-out validation, was used to assign patients to one of two groups. We tested the null hypothesis of no difference in Kaplan-Meier survival curves between the groups. Results: Shannon entropy of HIDs assigned patients to groups that had significantly different survival curves (median survival was 7.70 versus 110 months, P = 0.00750). Hypothesized interactions between pairs of cells positive for both CD20 and YY1 were associated with poor survival. Conclusions: HID analysis provides quantitative inferences about possible interactions between spatially proximal cells with particular IHC characteristics. In follicular lymphoma, HID analysis was able to distinguish between patients with poor versus good survival, and it may have diagnostic and prognostic utility in this and other diseases.


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