Evidence map›Paper›PMID 38053815›Full record

ArticleMedComm2023

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

Lesang Shen, Huanhuan Huang, Zichen Wei, Wuzhen Chen, Jiaxin Li, Yao Yao, Jun Zhou, Jian Liu, Shanshan Sun, Wenjie Xia and 8 more

Open access · goldAbstract read
In one paragraph

Article in MedComm, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
1.5field-weighted citation impact, top 17% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

10 citing papers in PubMed, 10 citations in OpenAlex.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

18 authors at 7 institutions in 2 countries.

Lesang ShenDepartment of Breast Surgery Second Affiliated Hospital, Zhejiang University Hangzhou China.
Huanhuan HuangDepartment of Breast Surgery Second Affiliated Hospital, Zhejiang University Hangzhou China.
Zichen WeiCenter for Genetic Medicine The Fourth Affiliated Hospital, Zhejiang University School of Medicine Hangzhou China.
Wuzhen ChenDepartment of Breast Surgery Second Affiliated Hospital, Zhejiang University Hangzhou China.
Jiaxin LiDepartment of Breast Surgery Second Affiliated Hospital, Zhejiang University Hangzhou China.
Yao YaoDepartment of Breast Surgery Second Affiliated Hospital, Zhejiang University Hangzhou China.
Jun ZhouDepartment of Breast Surgery Affiliated Hangzhou First People's Hospital Zhejiang University Hangzhou China.
Jian LiuDepartment of Breast Surgery Affiliated Hangzhou First People's Hospital Zhejiang University Hangzhou China.
Shanshan SunDepartment of Breast Surgery Second Affiliated Hospital, Zhejiang University Hangzhou China.
Wenjie XiaDepartment of Breast Surgery Zhejiang Provincial People's Hospital Hangzhou China.
Ting ZhangKey Laboratory of Tumor Microenvironment and Immune Therapy of Zhejiang Province Second Affiliated Hospital, Zhejiang University Hangzhou China.
Xiuyan YuDepartment of Breast Surgery Second Affiliated Hospital, Zhejiang University Hangzhou China.
Jun ShenDepartment of Surgical Oncology Sir Run Run Shaw Hospital, Zhejiang University Hangzhou China.
Weilan WangDepartment of Breast Surgery Changxing People's Hospital Huzhou China.
Jingxin JiangDepartment of Breast Surgery Second Affiliated Hospital, Zhejiang University Hangzhou China.
Jian HuangDepartment of Breast Surgery Second Affiliated Hospital, Zhejiang University Hangzhou China.
Ming JiangCenter for Genetic Medicine The Fourth Affiliated Hospital, Zhejiang University School of Medicine Hangzhou China.
Chao NiDepartment of Breast Surgery Second Affiliated Hospital, Zhejiang University Hangzhou China.ORCID https://orcid.org/0000-0002-2724-8896
Zhejiang Cancer Hospital · CNHangzhou First People's Hospital · CNHubei University of Medicine · CNSecond Affiliated Hospital of Zhejiang University · CNSir Run Run Shaw Hospital · CNTaixing People's Hospital · CNZhejiang Provincial People's Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Small 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.

Indexed as

breast cancer tissuesimmunoregulationmultiomics profilingorganoidssmall extracellular vesicles

Identifiers

PMID38053815
PMCPMC10694390
OpenAlexW4389299326

What OpenQuestion holds

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LicenceCC BY
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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.