Circulating tumor extracellular vesicles to monitor metastatic prostate cancer genomics and transcriptomic evolution

Extracellular vesicles (EVs) secreted by tumors are abundant in plasma, but their potential for interrogating the molecular features of tumors through multi-omic profiling remains widely unexplored. Genomic and transcriptomic profiling of circulating EV-DNA and EV-RNA isolated from in vitro and in v...

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Published in:Cancer cell Vol. 42; no. 7; p. 1301
Main Authors: Casanova-Salas, Irene, Aguilar, Daniel, Cordoba-Terreros, Sarai, Agundez, Laura, Brandariz, Julian, Herranz, Nicolas, Mas, Alba, Gonzalez, Macarena, Morales-Barrera, Rafael, Sierra, Alexandre, Soriano-Navarro, Mario, Cresta, Pablo, Mir, Gisela, Simonetti, Sara, Rodrigues, Gonçalo, Arce-Gallego, Sara, Delgado-Serrano, Luisa, Agustí, Irene, Castellano-Sanz, Elena, Mast, Richard, de Albert, Matias, Celma, Ana, Santamaria, Anna, Gonzalez, Lucila, Castro, Natalia, Suanes, Maria Del Mar, Hernández-Losa, Javier, Nonell, Lara, Peinado, Hector, Carles, Joan, Mateo, Joaquin
Format: Journal Article
Language:English
Published: United States 08-07-2024
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Summary:Extracellular vesicles (EVs) secreted by tumors are abundant in plasma, but their potential for interrogating the molecular features of tumors through multi-omic profiling remains widely unexplored. Genomic and transcriptomic profiling of circulating EV-DNA and EV-RNA isolated from in vitro and in vivo models of metastatic prostate cancer (mPC) reveal a high contribution of tumor material to EV-loaded DNA/RNA, validating the findings in two cohorts of longitudinal plasma samples collected from patients during androgen receptor signaling inhibitor (ARSI) or taxane-based therapy. EV-DNA genomic features recapitulate matched-patient biopsies and circulating tumor DNA (ctDNA) and associate with clinical progression. We develop a novel approach to enable transcriptomic profiling of EV-RNA (RExCuE). We report how the transcriptome of circulating EVs is enriched for tumor-associated transcripts, captures certain patient and tumor features, and reflects on-therapy tumor adaptation changes. Altogether, we show that EV profiling enables longitudinal transcriptomic and genomic profiling of mPC in liquid biopsy.
ISSN:1878-3686
DOI:10.1016/j.ccell.2024.06.003