July 2019
Volume 60, Issue 9
Free
ARVO Annual Meeting Abstract  |   July 2019
Digital image analysis of BAP-1 accurately predicts uveal melanoma metastasis
Author Affiliations & Notes
  • Gustav Stålhammar
    Oncology and Pathology service, St. Erik Eye Hospital, Stockholm, Sweden
    Department of Clinical Neuroscience, Karolinska Institutet, Stockholm, Sweden
  • Thonnie Rose See
    Department of Ophthalmology and Pathology, Emory University School of Medicine, Atlanta, Georgia, United States
  • Stephen S Phillips
    Department of Ophthalmology and Pathology, Emory University School of Medicine, Atlanta, Georgia, United States
  • Hans E Grossniklaus
    Department of Ophthalmology and Pathology, Emory University School of Medicine, Atlanta, Georgia, United States
  • Footnotes
    Commercial Relationships   Gustav Stålhammar, None; Thonnie Rose See, None; Stephen Phillips, None; Hans Grossniklaus, None
  • Footnotes
    Support  Support for this study was provided to Gustav Stålhammar from St. Erik Eye Hospital, the St. Erik Research Foundation (S:t Eriks Ögonforskningsstiftelse), the Swedish Ophthalmological Society, Cronqvists stiftelse (Cronqvist foundation), the Swedish Eye Foundation (ögonfonden) and Karolinska Institutet (Karolinska Institutets stiftelsemedel för ögonforskning).
Investigative Ophthalmology & Visual Science July 2019, Vol.60, 751. doi:
  • Views
  • Share
  • Tools
    • Alerts
      ×
      This feature is available to authenticated users only.
      Sign In or Create an Account ×
    • Get Citation

      Gustav Stålhammar, Thonnie Rose See, Stephen S Phillips, Hans E Grossniklaus; Digital image analysis of BAP-1 accurately predicts uveal melanoma metastasis. Invest. Ophthalmol. Vis. Sci. 2019;60(9):751.

      Download citation file:


      © ARVO (1962-2015); The Authors (2016-present)

      ×
  • Supplements
Abstract

Purpose : Reduced nuclear expression of BAP-1 is associated with a high risk for metastasis in uveal melanoma. Manual assessment of the expression level may face issues with interobserver reproducibility. This could be improved with digital image analysis (DIA).

Methods : 36 enucleated eyes from St. Erik Eye Hospital, Sweden (years 1984-1985) and Emory Eye Center, USA (years 2009-2017) were included and stained with BAP-1. Retrospective data on patient and tumor characteristics, gene expression class and survival was retrieved. 16 patients were randomized to a training cohort and 20 patients to a validation cohort. The tumor sections from both cohorts were digitally scanned and automatically scored for percentage of BAP-1 positive tumor cells with the QuPath Bioimage analysis software.

Results : Interobserver concordance was 75 % (Cohen's kappa 0.52) with the manual method and 88-94 % with DIA (Cohen's kappa 0.75-0.88). Positive and negative predictive values for metastasis were 83 % and 100 % with DIA, 82 % and 89 % with the manual method and 78 % and 88 % with gene expression class 2. In binary logistic regression, manual and DIA of BAP-1, but not gene expression class 2, was associated with metastasis. Metastasis-free survival was significantly shorter with low BAP-1 expression as defined by DIA (Log-Rank p=0.009) and gene expression class 2 (Log-Rank p=0.049), but not manual BAP-1 (Log-Rank p=0.105).

Conclusions : DIA of BAP-1 immunohistochemistry is a competitive alternative to manual assessment as well as gene expression profiling in prognostication of enucleated specimens with uveal melanoma.

This abstract was presented at the 2019 ARVO Annual Meeting, held in Vancouver, Canada, April 28 - May 2, 2019.

 

Example of digital image analysis in three tumors. In 4x magnification, a circular region of interest is defined (arrow). In this circular area, the software then automatically evaluates the number of cells with (cell borders and nuclei marked red by the software) and without (cell borders marked blue) BAP-1 stain. Scale bars, top=5 mm, lower=100 μm.

Example of digital image analysis in three tumors. In 4x magnification, a circular region of interest is defined (arrow). In this circular area, the software then automatically evaluates the number of cells with (cell borders and nuclei marked red by the software) and without (cell borders marked blue) BAP-1 stain. Scale bars, top=5 mm, lower=100 μm.

 

Cumulative metastasis-free survival. a) Patients with tumors with high BAP-1 expression (yellow) versus low (blue), as defined by digital image analysis (Log-Rank p=0.009). b) Patients with tumors with high BAP-1 expression (yellow) versus low (blue), as defined by manual scoring (Log-Rank p=0.105). c) Patients with tumors with gene expression class 1a or 1b (yellow) versus class 2 (blue) (Log-Rank p=0.049). Abbreviations: DIA, digital image analysis. GEP, gene expression profiling.

Cumulative metastasis-free survival. a) Patients with tumors with high BAP-1 expression (yellow) versus low (blue), as defined by digital image analysis (Log-Rank p=0.009). b) Patients with tumors with high BAP-1 expression (yellow) versus low (blue), as defined by manual scoring (Log-Rank p=0.105). c) Patients with tumors with gene expression class 1a or 1b (yellow) versus class 2 (blue) (Log-Rank p=0.049). Abbreviations: DIA, digital image analysis. GEP, gene expression profiling.

×
×

This PDF is available to Subscribers Only

Sign in or purchase a subscription to access this content. ×

You must be signed into an individual account to use this feature.

×