Integration of co-localized glandular morphometry and protein biomarker expression in immunofluorescent images for prostate cancer prognosis

Richard Scott, Faisal M. Khan, Jack Zeineh, Michael Donovan, Gerardo Fernandez

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review


Immunofluorescent (IF) image analysis of tissue pathology has proven to be extremely valuable and robust in developing prognostic assessments of disease, particularly in prostate cancer. There have been significant advances in the literature in quantitative biomarker expression as well as characterization of glandular architectures in discrete gland rings. However, while biomarker and glandular morphometric features have been combined as separate predictors in multivariate models, there is a lack of integrative features for biomarkers co-localized within specific morphological sub-types; for example the evaluation of androgen receptor (AR) expression within Gleason 3 glands only. In this work we propose a novel framework employing multiple techniques to generate integrated metrics of morphology and biomarker expression. We demonstrate the utility of the approaches in predicting clinical disease progression in images from 326 prostate biopsies and 373 prostatectomies. Our proposed integrative approaches yield significant improvements over existing IF image feature metrics. This work presents some of the first algorithms for generating innovative characteristics in tissue diagnostics that integrate co-localized morphometry and protein biomarker expression.

Original languageEnglish
Title of host publicationMedical Imaging 2015
Subtitle of host publicationDigital Pathology
EditorsMetin N. Gurcan, Anant Madabhushi
ISBN (Electronic)9781628415100
StatePublished - 2015
EventMedical Imaging 2015: Digital Pathology - Orlando, United States
Duration: 25 Feb 201526 Feb 2015

Publication series

NameProgress in Biomedical Optics and Imaging - Proceedings of SPIE
ISSN (Print)1605-7422


ConferenceMedical Imaging 2015: Digital Pathology
Country/TerritoryUnited States


  • Biomarkers
  • Co-localization
  • Glandular
  • Gleason
  • Immunofluorescence
  • Prostate cancer


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