Hourglass, a compass navigating global and regional heterogeneity of pancreatic cancer

Derya Bakırdöğen, Kıvanç Görgülü, Hana Algül

Research output: Contribution to journalComment/debate

Abstract

Advances in the digital pathology field have facilitated the characterization of histology samples for both clinical and preclinical research. However, uncovering subtle correlations between bioimaging, clinical and molecular parameters requires extensive statistical analysis. As a user-friendly software, Hourglass, simplifies multiparametric dataset analysis through intuitive data visualization and statistical tools. Systemic analysis of interleukin-6 (IL-6)/pStat3 signaling pathway through Hourglass revealed differences in regional immune cell composition within tumors. Moreover, these regional disparities were partially mediated by sex. Overall, Hourglass simplifies information extraction from complex datasets, resolving overlooked regional and global spatial tumor differences.

Original languageEnglish
Pages (from-to)5-7
Number of pages3
JournalJournal of Pathology
Volume263
Issue number1
DOIs
StatePublished - May 2024
Externally publishedYes

Keywords

  • bioimaging
  • digital pathology
  • interleukin-6
  • pancreatic cancer
  • spatial heterogeneity

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