Evidence map›Paper›PMID 40740862›Full record

ReviewFrontiers in oncology2025

Advances in extracellular vesicle (EV) biomarkers for precision diagnosis and therapeutic in colorectal cancer.

Li Zhang, Hui Shen, Nenghua Zhang

Abstract readReview
In one paragraph

Review in Frontiers in oncology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. Special Issue "Molecular Biomarkers in Cancers: Advances and Challenges".International journal of molecular sciences · 2026
    Article
  2. Review
  3. Article
  4. Review
  5. Review
  6. Review
  7. 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

3 authors.

Li ZhangSchool of Life Sciences, Zhejiang Chinese Medical University, Hangzhou, Zhejiang, China.
Hui ShenJiaxing Hospital of Traditional Chinese Medicine, Zhejiang Chinese Medical University, Jiaxing, Zhejiang, China.
Nenghua ZhangJiaxing Hospital of Traditional Chinese Medicine, Zhejiang Chinese Medical University, Jiaxing, Zhejiang, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Colorectal cancer (CRC) is the second most common cause of cancer-related mortality worldwide and one of the most frequently diagnosed malignancies. Conventional CRC screening techniques-such as colonoscopy and pathologic biopsy-are invasive procedures that often cause patient discomfort and carry risks of complications. Recently, extracellular vesicles (EVs) have gained prominence as a promising area of investigation in oncology research. EVs are nanoscale, membrane-bound particles secreted by cells, which encapsulate and protect nucleic acids, proteins, and other biomolecules within their phospholipid bilayer structure. This protective characteristic renders EVs highly suitable as non-invasive diagnostic biomarkers for CRC, as well as efficient nanocarriers for targeted drug delivery vehicles. This review examines the functional roles, regulation mechanisms, and translational potential of EVs in CRC. Specifically, it investigates how EVs drive CRC pathogenesis through tumour microenvironment remodeling, immune suppression, and metastatic dissemination. Additionally, the review examines relevant methodologies for EV sample collection, isolation, and detection, which are critical for translating EV-based diagnostics and therapeutics into clinical practice. In conclusion, EVs represent a transformative approach in CRC research, offering non-invasive diagnostic tools and innovative therapeutic strategies. By integrating advanced methodologies and elucidating the regulatory mechanisms of EVs, this review provides valuable insights for advancing precision medicine in CRC, ultimately improving patient outcomes and reducing the global burden of this disease.

Indexed as

biomarkerscolorectal cancerextracellular vesiclesprecision diagnosistreatment

Identifiers

PMID40740862
PMCPMC12307158

What Socratic holds

Textmetadata
LicenceCC BY
Read underepoch 390

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 Socratic graph.