Evidence map›Paper›PMID 38715945›Full record

ArticleiScience2024

Tumor-derived extracellular vesicles as a biomarker for breast cancer diagnosis and metastasis monitoring.

Feng Xu, Ke Wang, Chengjun Zhu, Lingling Fan, Ye Zhu, Jacqueline F Wang, Xintong Li, Yiqiu Liu, Yuhan Zhao, Chuandong Zhu and 5 more

Abstract read
In one paragraph

Article in iScience, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
–field-weighted citation impact
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

11 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Review
  5. Article
  6. Emerging Strategies of Cell and Gene Therapy Targeting Tumor Immune Microenvironment.Clinical cancer research : an official journal of the American Association for Cancer Research · 2025
    Review
  7. Review
  8. Article
  9. Review
  10. Extracellular vesicles in laboratory medicine: a review and outlook.Frontiers in cell and developmental biology · 2025
    Review
  11. Review
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

15 authors.

Feng XuDepartment of Oncology, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China.
Ke WangDepartment of Oncology, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China.
Chengjun ZhuDepartment of Oncology, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China.
Lingling FanDepartment of Oncology, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China.
Ye ZhuDepartment of Oncology, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China.
Jacqueline F WangDepartment of Medicine, NYU Langone Health, 550 First Avenue, New York 10016, NY, USA.
Xintong LiDepartment of Oncology, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China.
Yiqiu LiuDepartment of Oncology, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China.
Yuhan ZhaoDepartment of Oncology, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China.
Chuandong ZhuDepartment of Oncology, Nanjing Second Hospital, Nanjing, China.
Wenwen ZhangDepartment of Oncology, Nanjing First Hospital, Nanjing, China.
Fang YangThe Comprehensive Cancer Center of Nanjing Drum Tower Hospital, Affiliated Hospital of Medical School, Nanjing University, Nanjing , China.
Jian XuDepartment of Laboratory Medicine, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China.
Zhe LiDepartment of Biomedical Engineering, College of Engineering and Applied Sciences, Nanjing University, Nanjing, China.
Xiaoxiang GuanDepartment of Oncology, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

It is imperative to explore biomarkers that are both precise and readily accessible in the comprehensive management of breast cancer. A multicenter cohort, including 512 breast cancer patients and 198 nonneoplastic individuals, was recruited to detect the level of tumor-derived extracellular vesicles using our method based on dual DNA tetrahedral nanostructures. The level of tumor-derived extracellular vesicles was significantly higher in newly diagnosed breast cancer patients than in nonneoplastic individuals at a cutoff value of 3.58 U/μL. For postoperative metastasis monitoring, the level of tumor-derived extracellular vesicles was significantly higher in breast cancer patients with metastasis than in those without metastasis at a cutoff value of 3.91 U/μL. Its efficacy of diagnosis and metastasis monitoring was superior to traditional tumor markers. Elevated level of tumor-derived extracellular vesicles served as a predictive biomarker for diagnosis and metastasis monitoring in breast cancer patients.

Indexed as

Functional aspects of cell biologyOncology

Identifiers

PMID38715945
PMCPMC11075063

What OpenQuestion holds

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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.