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

Derya Bakırdöğen; Kıvanç Görgülü; Hana Algül

doi:10.1002/path.6268

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

Derya Bakırdöğen, Kıvanç Görgülü, Hana Algül

Medicine and Health

Technische Universität München

Publikation: Beitrag in Fachzeitschrift › Kommentar/Debatte

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.

Originalsprache	Englisch
Seiten (von - bis)	5-7
Seitenumfang	3
Fachzeitschrift	Journal of Pathology
Jahrgang	263
Ausgabenummer	1
DOIs	https://doi.org/10.1002/path.6268
Publikationsstatus	Veröffentlicht - Mai 2024

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10.1002/path.6268

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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.",

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AU - Görgülü, Kıvanç

AU - Algül, Hana

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AB - 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.

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KW - digital pathology

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