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ZENODO
Dataset . 2023
License: CC BY
Data sources: ZENODO
ZENODO
Dataset . 2023
License: CC BY
Data sources: Datacite
ZENODO
Dataset . 2023
License: CC BY
Data sources: Datacite
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Spatiotemporal Architecture of High-Grade Serous Ovarian Carcinoma

Authors: Xu, Alexander; Haro, Marcela; Walts, Ann; Hu, Ye; John, Joshi; Karlan, Beth; Merchant, Akil; +1 Authors

Spatiotemporal Architecture of High-Grade Serous Ovarian Carcinoma

Abstract

High-grade serous ovarian carcinoma (HGSOC), the deadliest form of ovarian cancer, is typically first diagnosed after it has metastasized and almost always relapses after standard-of-care platinum-based chemotherapy. Targeted therapies and immunotherapies are effective in only a small subset of patients, likely due to advanced tumor stage, inherent heterogeneity, and immune suppression and/or tumor-promoting signaling from the tumor microenvironment. There is a large gap in understanding how spatial heterogeneity and intercellular signaling contribute to HGSOC progression and early relapse. We used Imaging Mass Cytometry (IMC) and a HGSOC tissue microarray of patient-matched pre-chemotherapy primary tumors, synchronous metastases, and metachronous post-chemotherapy recurrent metastases from 42 patients to determine the spatiotemporal arrangement of different cell types during HGSOC progression. We found that tumors from patients with early relapse exhibit distinct patterns of immune cells, fibroblasts, and epithelial cells, including malformed tertiary lymphoid structures and increased presence of podoplanin-expressing fibroblasts. Changes in T cell localization between primary and synchronous metastatic tumors were also associated with early relapse, independent of the concentration of total T cells. Our highly multiplexed IMC data was consistent with data obtained by standard histology and immunohistochemistry and also demonstrated the additive value of highly multiplexed analyses.

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Keywords

Imaging Mass Cytometry

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    popularity
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    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
Related to Research communities
Cancer Research