Deep spatial transcriptomic profiling of ovarian clear cell carcinoma in the real-world setting

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Authors: Thang Truong Le, Alice Hsiang-Kuo Yang, Ko-Chen Chen, Yi-Chia Chiu, Sydney Rechie S. Necesario, Mqondisi Fortune Mavuso, Tuan Zea Tan, Ya-Ting Tai, Wei‐Chou Lin, Ying‐Cheng Chiang, Lin‐Hung Wei, Ruby Yun‐Ju Huang
Cited by: 0
References: 40

Abstract

Ovarian clear cell carcinoma (OCCC) is a rare cancer type of significant relevance to East Asian women harboring critical unmet needs for novel therapeutic options. It is a histological subtype of ovarian cancer with distinct pathological features, molecular profiles, and biological functions. Diverse heterogeneity contributing from histopathological and multiomic molecular features has yet to be translated to guide clinical care. Here, we presented a proof-of-concept study to demonstrate the feasibility of applying deep spatial transcriptomic (ST) profiling of tumor samples from an advanced OCCC patient in the real-world setting, aiming to identify therapeutic options beyond standard-of-care. Matched primary ovarian and metastatic bladder tumor sections were profiled by using GeoMx Digital Spatial Profiling and Xenium In Situ platforms. The spatial architecture and neighborhood niches were identified from GeoMx Cancer Transcriptome Atlas (CTA) and Xenium 5K Human Pan Tissue and Pathways Panel. An immunosuppressive Wnt-activating tumor microenvironment (TME) was identified by GeoMx while a tripartite spatial relationship between SLC2A1+ hypoxic cancer cells, IFIT2+ inflammatory cancer cells, and MMP12+ dendritic cells linking towards metabolism and immune responses was identified by Xenium. Our deep ST profiling findings provided significant biological insights and demonstrated feasibility to make novel discoveries, one patient at a time.

Fields of Study & Subjects

Ovarian cancer diagnosis and treatment Single-cell and spatial transcriptomics AI in cancer detection

Publication details

Journal / source
Journal of Ovarian Research
Volume
19
Issue
1
Publication date
3 March 2026
Language
EN