Integrated transcriptomics, proteomics, and functional analysis to characterize the tissue‐specific small extracellular vesicle network of breast cancer

Author:

Shen Lesang123,Huang Huanhuan123,Wei Zichen45,Chen Wuzhen123,Li Jiaxin123,Yao Yao123,Zhou Jun6,Liu Jian6,Sun Shanshan123,Xia Wenjie7,Zhang Ting238,Yu Xiuyan123,Shen Jun9,Wang Weilan10,Jiang Jingxin123,Huang Jian123,Jiang Ming411,Ni Chao123ORCID

Affiliation:

1. Department of Breast Surgery Second Affiliated Hospital, Zhejiang University Hangzhou China

2. Key Laboratory of Tumor Microenvironment and Immune Therapy of Zhejiang Province Second Affiliated Hospital, Zhejiang University Hangzhou China

3. Cancer Center Zhejiang University Hangzhou China

4. Center for Genetic Medicine The Fourth Affiliated Hospital, Zhejiang University School of Medicine Hangzhou China

5. Department of Anesthesiology Taihe Hospital Hubei University of Medicine Shiyan China

6. Department of Breast Surgery Affiliated Hangzhou First People's Hospital Zhejiang University Hangzhou China

7. Department of Breast Surgery Zhejiang Provincial People's Hospital Hangzhou China

8. Department of Radiation Oncology Second Affiliated Hospital Zhejiang University Hangzhou China

9. Department of Surgical Oncology Sir Run Run Shaw Hospital, Zhejiang University Hangzhou China

10. Department of Breast Surgery Changxing People's Hospital Huzhou China

11. Zhejiang Provincial Key Laboratory of Genetic and Developmental Disorders Hangzhou China

Abstract

AbstractSmall extracellular vesicles (sEVs) are essential mediators of intercellular communication within the tumor microenvironment (TME). Although the biological features of sEVs have been characterized based on in vitro culture models, recent evidence indicates significant differences between sEVs derived from tissue and those derived from in vitro models in terms of both content and biological function. However, comprehensive comparisons and functional analyses are still limited. Here, we collected sEVs from breast cancer tissues (T‐sEVs), paired normal tissues (N‐sEVs), corresponding plasma (B‐sEVs), and tumor organoids (O‐sEVs) to characterize their transcriptomic and proteomic profiles. We identified the actual cancer‐specific sEV signatures characterized by enriched cell adhesion and immunomodulatory molecules. Furthermore, we revealed the significant contribution of cancer‐associated fibroblasts in the sEV network within the TME. In vitro model‐derived sEVs did not entirely inherit the extracellular matrix‐ and immunity regulation‐related features of T‐sEVs. Also, we demonstrated the greater immunostimulatory ability of T‐sEVs on macrophages and CD8+ T cells compared to O‐sEVs. Moreover, certain sEV biomarkers derived from noncancer cells in the circulation exhibited promising diagnostic potential. This study provides valuable insights into the functional characteristics of tumor tissue‐derived sEVs, highlighting their potential as diagnostic markers and therapeutic agents for breast cancer.

Funder

Natural Science Foundation of Zhejiang Province

National Natural Science Foundation of China

National Key Research and Development Program of China

Zhejiang Province Public Welfare Technology Application Research Project

Publisher

Wiley

Subject

Cell Biology,Biochemistry (medical),Genetics (clinical),Computer Science Applications,Drug Discovery,Genetics,Oncology,Immunology and Allergy

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