.png){kind=icon}
.png){kind=icon}
Return
Cross-Platform Comparative Spatial Transcriptomics in High-Grade Serous Carcinoma
.png){kind=icon}
OA
AI
O
L
S
L
S
J
O
A
DOI：10.1016/j.labinv.2026.106134.png)
.png){kind=icon}
.png){kind=icon}
Share.png){kind=icon}
Save
Abstract
En 中文
High-grade serous carcinoma (HGSC) is a remarkably heterogeneous tumor. The purpose of this study was to directly compare the reproducibility of transcriptomic profiles and biologically relevant molecular features across two spatial transcriptomics platforms—GeoMx Digital Spatial Profiler (GeoMx) and Visium Spatial Gene Expression (Visium) using AI-defined tumor regions associated with clinical outcome.
Keywords:
High grade serous tubo-ovarian carcinoma
HGSC
GeoMx
Visium
spatial transcriptomics
ovarian cancer
RNA-ISH
AI Summary
Key information extracted from the uploaded paper, including a brief overview, abstract, background, key highlights, visual analysis, and future outlook.
Journal
IF:
4.2
Papers:
5.4K
Citations:
1.1W
Organization
Cited Papers