Evidence map›Paper›PMID 40457968›Full record

ReviewCurrent cancer drug targets2025

Extracellular Vesicles-Associated tRFs as Emerging Biomarkers in Breast Cancer.

Md Sadique Hussain, Liming Zhang, Sumel Ashique

Abstract readReview
PubMed Publisher
In one paragraph

Review in Current cancer drug targets, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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.

Md Sadique HussainUttaranchal Institute of Pharmaceutical Sciences, Uttaranchal University, Prem Nagar, Dehradun, Uttarakhand, 248007, India.ORCID 0000-0002-3554-1750
Liming ZhangSchool of Basic Medical Sciences, Tsinghua University, Beijing, 100084, China.
Sumel AshiqueSchool of Pharmaceutical Sciences, Lovely Professional University, Phagwara, Punjab, 144411, India.ORCID 0000-0003-4362-2830

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Breast cancer (BC) remains a leading cause of cancer-related mortality among women worldwide, underscoring the urgent need for sensitive, non-invasive biomarkers to improve diagnosis, prognosis, and treatment monitoring. Traditional biomarkers like ER, PR, and HER2 offer limited efficacy, particularly for heterogeneous subtypes such as triple-negative breast cancer (TNBC). Extracellular vesicles (EVs), including exosomes and microvesicles, have emerged as promising biomarker carriers due to their stability and ability to encapsulate diverse bioactive molecules reflective of the parental cell's state. Among EV cargoes, tRNA-derived fragments (tRFs), which are small non-coding RNAs produced by precise cleavage of tRNAs, have gained increasing attention. Once considered mere degradation products, tRFs are now recognized for their roles in gene regulation, translation control, apoptosis modulation, and immune response. Recent studies have revealed the selective enrichment of tRFs within EVs, highlighting their role in intercellular communication in breast cancer. Differential expression of EV-associated tRFs correlates with BC subtype, stage, and patient prognosis, highlighting their potential as minimally invasive biomarkers. Specifically, altered levels of certain 5'- and 3'-tRFs in patient sera and tumor tissues have been associated with poor survival, metastasis, and therapeutic resistance. Despite these promising findings, gaps remain regarding the mechanisms of tRF sorting into EVs and their functional impact on the tumor microenvironment. This review systematically examines the current understanding of EV-associated tRFs in breast cancer, emphasizing their clinical relevance, detection strategies, and translational potential. By addressing existing challenges, we aim to provide insights into the utility of EV-tRFs as novel biomarkers and therapeutic targets in BC.

Indexed as

Biomarkers, TumorBreast NeoplasmsExtracellular VesiclesRNA, TransferFemaleHumansPrognosisBiomarkers, TumorRNA, TransferBiomarkersbreast neoplasmscancer diagnosisextracellular vesiclesgene expressionMicroRNAstumor microenvironment.

Identifiers

What Socratic 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 Socratic graph.