Defining the Ovarian Cancer Precancerous Landscape through Modeling Fallopian Tube Epithelium Reprogramming Driven by Extracellular Vesicles

We model the fallopian tube preneoplastic landscape using a microfluidic platform to study EV-induced stress and show that cancer EVs promote immune signaling changes representing the earliest stages of ovarian cancer pathogenesis.

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Publication Details

Journal
Cancer Research Communications
Published
2025-07-21
DOI
https://doi.org/10.1158/2767-9764.crc-25-0064
Citations
1
Primary Topic
Extracellular vesicles in disease
Type
article
Field-Weighted Citation Impact
0.81

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article

Defining the Ovarian Cancer Precancerous Landscape through Modeling Fallopian Tube Epithelium Reprogramming Driven by Extracellular Vesicles

Shailja Pathania, Angela Russo, Pamoda M. Galhenage, Harsh B. Pathak et al.
1 citations
Cancer Research Communications
Extracellular vesicles in disease
0.81
article

Defining the Ovarian Cancer Precancerous Landscape through Modeling Fallopian Tube Epithelium Reprogramming Driven by Extracellular Vesicles

Shailja Pathania, Angela Russo, Pamoda M. Galhenage, Harsh B. Pathak, Sagar Rayamajhi, Brian P. Cain, Mohammod Mahmudur Rahman, Jared Sipes, Mihaela E. Sardiu, Rashna Madan, Andrew K. Godwin, Leonidas E. Bantis, Shannon MacLaughlan David, Rajni V. Puri, Didi Zha, Foyez Ahmmed, Joanna E. Burdette, Jonathan Coppeta, Brett C. Isenberg, Amrita Mitra
article en
1 citations

Abstract

We model the fallopian tube preneoplastic landscape using a microfluidic platform to study EV-induced stress and show that cancer EVs promote immune signaling changes representing the earliest stages of ovarian cancer pathogenesis.

Cancer Research CommunicationsVol. 5(8)
Boston University (US), Draper Laboratory (US), University of Kansas (US), Comilla University (BD), University of Massachusetts Boston (US), University of Illinois Chicago (US), The University of Kansas Cancer Center (US), Center for Personalized Cancer Treatment (NL), University of Kansas Medical Center (US)
National Institutes of Health, Cancer Center, University of Kansas, National Cancer Institute, National Institute of General Medical Sciences
Openalex Percentile: Top 26%
Extracellular vesicles in disease
0.81
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