Evidence map›Paper›PMID 39835236›Full record

ReviewIndian journal of clinical biochemistry : IJCB2025

Potential Effect of Extracellular Vesicles in Clinical Settings of Lymphoma.

Garima Mamgain, Shashi Ranjan Mani Yadav

Abstract readReview
In one paragraph

Review in Indian journal of clinical biochemistry : IJCB, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

2 authors.

Garima MamgainDepartment of Medical Oncology, All India Institute of Medical Sciences Rishikesh, Rishikesh, 249203 India.ORCID 0000-0003-0098-4735
Shashi Ranjan Mani YadavDepartment of Biochemistry, All India Institute of Medical Sciences Rishikesh, Rishikesh, 249203 India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Liquid biopsy is gaining importance in oncology in the age of precision medicine. Extracellular vesicles (EVs), among other tumor-derived indicators, are isolated and analysed from bodily fluids. EVs are secreted by both healthy and cancerous cells and are lipid bilayer-enclosed particles that are diverse in size and molecular makeup. Since their quantity, phenotype, and molecular payload, which includes proteins, lipids, metabolites, and nucleic acids, mirror the nature and origin of parental cells, EVs are valuable transporters of cancer information in tumour context. This makes them interesting candidates for new biomarkers. Being closely linked to the parental cells in terms of composition, quantity, and roles is a crucial aspect of EVs. Multiple studies have shown the crucial part tumor-derived EVs plays in the development of cancer, and this subject is currently a hot one in the field of oncology. The clinical applications of EVs-based technology that are currently being tested in the areas of biomarkers, therapeutic targets, immune evasion tools, biologically designed immunotherapies, vaccines, neutralising approaches, targeting biogenesis, and extracorporeal removal were the main focus of this review. However, more bioengineering refinement is needed to address clinical and commercial limitations. The introduction of these new potential diagnostic tools into clinical practise has the potential to profoundly revolutionise the cancer field, primarily for solid tumours but also for haematological neoplasms. The development of EV-based therapies will be facilitated by improvements in EV engineering methodology and design, transforming the current pharmaceutical environment.

Indexed as

Clinical applicationsExtracellular vesiclesInnovative therapiesLymphoma

Identifiers

PMID39835236
PMCPMC11741971

What OpenQuestion holds

Textmetadata
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.