Evidence map›Paper›PMID 40027309›Full record

ArticleThe journal of liquid biopsy2024

Unlocking the potential of exosomes: A new frontier in liver cancer liquid biopsy.

Asmit Das, Sidhanti Nyahatkar, Swarup Sonar, Ketki Kalele, Vetriselvan Subramaniyan

Abstract read
In one paragraph

Article in The journal of liquid biopsy, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Review
  2. Article
  3. Review
  4. Review
  5. 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

5 authors.

Asmit DasDepartment of Oncology, Neuron Institute of Applied Research, Amravati, Maharashtra, India.
Sidhanti NyahatkarDepartment of Dentistry, VYWS Dental College & Hospital, Amravati, Maharashtra, India.
Swarup SonarCenter for Global Health Research, Saveetha Medical College, Saveetha Institute of Medical and Technical Sciences, India.
Ketki KaleleDepartment of Oncology, Neuron Institute of Applied Research, Amravati, Maharashtra, India.
Vetriselvan SubramaniyanDepartment of Medical Sciences, School of Medical and Life Sciences, Sunway University, Bandar Sunway, 47500, Subang Jaya, Selangor, Malaysia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Liquid biopsy has emerged as one of the non-invasive diagnostic strategies for cancer, offering significant advantages over traditional tissue biopsies. Exosomes the nanoscale extracellular vesicles, have significantly been in the spotlight of research and investigation as highly informative biomarkers in liquid biopsy. These vesicles, which are secreted by a variety of cells, including tumor cells, contain useful information on the molecular characteristics of the parent cell and could be used as a mirror into the processes underlying cancer biology. The analysis of the biomolecular exosomal cargo, including proteins, nucleic acids, and lipids, has shown great promise for the development of sensitive and specific liquid biopsy-based biomarkers for cancer detection, monitoring, and prognosis. This review discusses the role of exosomes in the liver cancer development and metastatic process, including their ability to transfer oncogenic material and facilitate tumor progression. It also explores the application of exosomes as a tool for early cancer detection, monitoring disease status, and predicting prognosis, with a specific focus on liver cancer. Exosomes hold great promise as a minimally invasive liquid biopsy approach that could revolutionize the way we diagnose and manage this deadly disease.

Indexed as

BiomarkersExosomesExtracellular vesicleLiquid biopsyLiver cancerMetastasis

Identifiers

PMID40027309
PMCPMC11863868

What OpenQuestion 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 OpenQuestion graph.