Lipidome Analysis of Cancer Cells and Their Extracellular Vesicles Reveals Cancer-Type-Specific Lipid Signatures and Enables the Design of EV-Mimetic Liposomes

Noélie Douanne; Yousra Benslimane; Rubén R. López; Prisca Bustamante; Thupten Tsering; Yunxi Chen; Laura Kienzle; Masoud Ghasemi; Lorne Taylor; Yuning Chen; Anaïs Toreja Boutin; David Juncker; Catherine Mounier; Vahé Nerguizian; Julia V. Burnier

doi:10.1002/jev2.70265

Lipidome Analysis of Cancer Cells and Their Extracellular Vesicles Reveals Cancer-Type-Specific Lipid Signatures and Enables the Design of EV-Mimetic Liposomes

Noélie Douanne
, Yousra Benslimane
, Rubén R. López
, Prisca Bustamante
, Thupten Tsering
, Yunxi Chen
, Laura Kienzle
, Masoud Ghasemi
, Lorne Taylor
, Yuning Chen
, Anaïs Toreja Boutin
, David Juncker
, Catherine Mounier
, Vahé Nerguizian
, Julia V. Burnier

McGill University
Université du Québec à Montréal

Research output: Contribution to journal › Journal Article › peer-review

Abstract

Lipid metabolism reprogramming is a hallmark of cancer, yet the global lipidome of cancer cells and their extracellular vesicles (EVs) remains poorly understood. Using mass spectrometry, we analyzed the lipid profiles of a panel of human cancer and non-cancer cell lines along with their secreted EVs. Cancer cells exhibited distinct lipid signatures, including elevated lipid raft components. Cancer-derived EVs displayed unique lipid compositions that clustered separately from cell lipid profiles, suggesting active lipid sorting during EV biogenesis. Comparative analysis of primary and metastatic cells and their EVs, highlighted phospholipid alterations during metastasis. These findings suggest that EV lipid profiles could serve as cancer biomarkers, and the data can inform synthetic EV-based nanoparticle design for drug delivery. Our study provides one of the most comprehensive characterizations of the cancer EV lipidome to date, offering novel insights into lipid metabolism in cancer progression and potential therapeutic applications.

Original language	English
Article number	e70265
Journal	Journal of Extracellular Vesicles
Volume	15
Issue number	5
DOIs	https://doi.org/10.1002/jev2.70265
Publication status	Published - May 2026

!!!Keywords

biomarkers
cancer
cells and extracellular vesicles (EVs)
colorectal cancer
lipid classes/families
lipidomics
liver metastasis
saturation levels
tumor microenvironment
uveal melanoma

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Douanne, N., Benslimane, Y., López, R. R., Bustamante, P., Tsering, T., Chen, Y., Kienzle, L., Ghasemi, M., Taylor, L., Chen, Y., Boutin, A. T., Juncker, D., Mounier, C., Nerguizian, V., & Burnier, J. V. (2026). Lipidome Analysis of Cancer Cells and Their Extracellular Vesicles Reveals Cancer-Type-Specific Lipid Signatures and Enables the Design of EV-Mimetic Liposomes. Journal of Extracellular Vesicles, 15(5), Article e70265. https://doi.org/10.1002/jev2.70265

@article{c33573876e244f898a508310b91bf980,

title = "Lipidome Analysis of Cancer Cells and Their Extracellular Vesicles Reveals Cancer-Type-Specific Lipid Signatures and Enables the Design of EV-Mimetic Liposomes",

abstract = "Lipid metabolism reprogramming is a hallmark of cancer, yet the global lipidome of cancer cells and their extracellular vesicles (EVs) remains poorly understood. Using mass spectrometry, we analyzed the lipid profiles of a panel of human cancer and non-cancer cell lines along with their secreted EVs. Cancer cells exhibited distinct lipid signatures, including elevated lipid raft components. Cancer-derived EVs displayed unique lipid compositions that clustered separately from cell lipid profiles, suggesting active lipid sorting during EV biogenesis. Comparative analysis of primary and metastatic cells and their EVs, highlighted phospholipid alterations during metastasis. These findings suggest that EV lipid profiles could serve as cancer biomarkers, and the data can inform synthetic EV-based nanoparticle design for drug delivery. Our study provides one of the most comprehensive characterizations of the cancer EV lipidome to date, offering novel insights into lipid metabolism in cancer progression and potential therapeutic applications.",

keywords = "biomarkers, cancer, cells and extracellular vesicles (EVs), colorectal cancer, lipid classes/families, lipidomics, liver metastasis, saturation levels, tumor microenvironment, uveal melanoma",

author = "No{\'e}lie Douanne and Yousra Benslimane and L{\'o}pez, \{Rub{\'e}n R.\} and Prisca Bustamante and Thupten Tsering and Yunxi Chen and Laura Kienzle and Masoud Ghasemi and Lorne Taylor and Yuning Chen and Boutin, \{Ana{\"i}s Toreja\} and David Juncker and Catherine Mounier and Vah{\'e} Nerguizian and Burnier, \{Julia V.\}",

note = "Publisher Copyright: {\textcopyright} 2026 The Author(s). Journal of Extracellular Vesicles published by Wiley Periodicals, LLC on behalf of the International Society for Extracellular Vesicles.",

year = "2026",

month = may,

doi = "10.1002/jev2.70265",

language = "English",

volume = "15",

journal = "Journal of Extracellular Vesicles",

issn = "2001-3078",

publisher = "John Wiley \& Sons Inc.",

number = "5",

}

Douanne, N, Benslimane, Y, López, RR, Bustamante, P, Tsering, T, Chen, Y, Kienzle, L, Ghasemi, M, Taylor, L, Chen, Y, Boutin, AT, Juncker, D, Mounier, C, Nerguizian, V & Burnier, JV 2026, 'Lipidome Analysis of Cancer Cells and Their Extracellular Vesicles Reveals Cancer-Type-Specific Lipid Signatures and Enables the Design of EV-Mimetic Liposomes', Journal of Extracellular Vesicles, vol. 15, no. 5, e70265. https://doi.org/10.1002/jev2.70265

Lipidome Analysis of Cancer Cells and Their Extracellular Vesicles Reveals Cancer-Type-Specific Lipid Signatures and Enables the Design of EV-Mimetic Liposomes. / Douanne, Noélie; Benslimane, Yousra; López, Rubén R. et al.
In: Journal of Extracellular Vesicles, Vol. 15, No. 5, e70265, 05.2026.

Research output: Contribution to journal › Journal Article › peer-review

TY - JOUR

T1 - Lipidome Analysis of Cancer Cells and Their Extracellular Vesicles Reveals Cancer-Type-Specific Lipid Signatures and Enables the Design of EV-Mimetic Liposomes

AU - Douanne, Noélie

AU - Benslimane, Yousra

AU - López, Rubén R.

AU - Bustamante, Prisca

AU - Tsering, Thupten

AU - Chen, Yunxi

AU - Kienzle, Laura

AU - Ghasemi, Masoud

AU - Taylor, Lorne

AU - Chen, Yuning

AU - Boutin, Anaïs Toreja

AU - Juncker, David

AU - Mounier, Catherine

AU - Nerguizian, Vahé

AU - Burnier, Julia V.

PY - 2026/5

Y1 - 2026/5

N2 - Lipid metabolism reprogramming is a hallmark of cancer, yet the global lipidome of cancer cells and their extracellular vesicles (EVs) remains poorly understood. Using mass spectrometry, we analyzed the lipid profiles of a panel of human cancer and non-cancer cell lines along with their secreted EVs. Cancer cells exhibited distinct lipid signatures, including elevated lipid raft components. Cancer-derived EVs displayed unique lipid compositions that clustered separately from cell lipid profiles, suggesting active lipid sorting during EV biogenesis. Comparative analysis of primary and metastatic cells and their EVs, highlighted phospholipid alterations during metastasis. These findings suggest that EV lipid profiles could serve as cancer biomarkers, and the data can inform synthetic EV-based nanoparticle design for drug delivery. Our study provides one of the most comprehensive characterizations of the cancer EV lipidome to date, offering novel insights into lipid metabolism in cancer progression and potential therapeutic applications.

AB - Lipid metabolism reprogramming is a hallmark of cancer, yet the global lipidome of cancer cells and their extracellular vesicles (EVs) remains poorly understood. Using mass spectrometry, we analyzed the lipid profiles of a panel of human cancer and non-cancer cell lines along with their secreted EVs. Cancer cells exhibited distinct lipid signatures, including elevated lipid raft components. Cancer-derived EVs displayed unique lipid compositions that clustered separately from cell lipid profiles, suggesting active lipid sorting during EV biogenesis. Comparative analysis of primary and metastatic cells and their EVs, highlighted phospholipid alterations during metastasis. These findings suggest that EV lipid profiles could serve as cancer biomarkers, and the data can inform synthetic EV-based nanoparticle design for drug delivery. Our study provides one of the most comprehensive characterizations of the cancer EV lipidome to date, offering novel insights into lipid metabolism in cancer progression and potential therapeutic applications.

KW - biomarkers

KW - cancer

KW - cells and extracellular vesicles (EVs)

KW - colorectal cancer

KW - lipid classes/families

KW - lipidomics

KW - liver metastasis

KW - saturation levels

KW - tumor microenvironment

KW - uveal melanoma

UR - https://www.scopus.com/pages/publications/105037562145

U2 - 10.1002/jev2.70265

DO - 10.1002/jev2.70265

M3 - Journal Article

C2 - 42057474

AN - SCOPUS:105037562145

SN - 2001-3078

VL - 15

JO - Journal of Extracellular Vesicles

JF - Journal of Extracellular Vesicles

IS - 5

M1 - e70265

ER -

Lipidome Analysis of Cancer Cells and Their Extracellular Vesicles Reveals Cancer-Type-Specific Lipid Signatures and Enables the Design of EV-Mimetic Liposomes

Abstract

!!!Keywords

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