Proteomic Characterization of Serum Small Extracellular Vesicles in Human Breast Cancer

Ganfei Xu; Weiyi Huang; Shaoqian Du; Minjing Huang; Jiacheng Lyu; Fei Zhou; Rongxuan Zhu; Yuan Cao; Jingxuan Xv; Ning Li; Guoying Yu; Bing‐Hua Jiang; Olivier Gires; Lei Zhou; Hongwei Zhang; Chen Ding; Hongxia Wang

doi:10.1101/2021.11.26.470104

BioinformaticsbioRxivNov 26, 2021

Preprint

Proteomic Characterization of Serum Small Extracellular Vesicles in Human Breast Cancer

Ganfei Xu iD, Weiyi Huang iD, Shaoqian Du iD, Minjing Huang iD, Jiacheng Lyu iD, Fei Zhou iD, Rongxuan Zhu, Yuan Cao, Jingxuan Xv, Ning Li iD, Guoying Yu iD, Bing‐Hua Jiang iD, Olivier Gires iD, Lei Zhou iD, Hongwei Zhang iD, Chen Ding iD, Hongxia Wang iD

PDF DOI

Post to X

Threads on X Post to Bluesky Threads on Bluesky

Abstract

There is a lack of comprehensive understanding of breast cancer (BC) specific sEVs characteristics and composition on BC unique proteomic information from human samples. Here, we interrogated the proteomic landscape of sEVs in 167 serum samples from patients with BC, benign mammary disease (BD) and from healthy donors (HD). The analysis provides a comprehensive landscape of serum sEVs with totally 9,589 proteins identified, considerably expanding the panel of sEVs markers. Of note, serum BC-sEVs protein signatures were distinct from those of BD and HD, representing stage- and molecular subtype-specific patterns. We constructed specific sEVs protein identifiers that could serve as a liquid biopsy tool for diagnosis and classification of BC from benign mammary disease, molecular subtypes, as well as assessment of lymph node metastasis. We also identified 11 potential survival biomarkers for distant metastasis. This work may provide reference value for the accurate diagnosis and monitoring of BC progression using serum sEVs.