Evidence map›Paper›PMID 41103412›Full record

ReviewFrontiers in immunology2025

Exosomal biomarkers in leukemia: translational potential and regulatory challenges for precision medicine applications.

Mohammad Amin Ansarian, Mahsa Fatahichegeni, Yuqi Wang, Juan Ren, Tongxin Zhang, Xiaoning Wang

Abstract readReview
In one paragraph

Review in Frontiers in immunology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

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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

6 authors.

Mohammad Amin Ansarian *Department of Hematology, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, Shaanxi, China.
Mahsa Fatahichegeni *Department of Hematology, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, Shaanxi, China.
Yuqi WangDepartment of Hematology, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, Shaanxi, China.
Juan RenDepartment of Hematology, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, Shaanxi, China.
Tongxin ZhangDepartment of Hematology, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, Shaanxi, China.
Xiaoning WangDepartment of Hematology, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, Shaanxi, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Exosomes represent a paradigm shift in leukemia biomarker research, evolving from overlooked cellular waste products to sophisticated intercellular messengers with significant clinical implications for hematological malignancies. These membrane-bound vesicles carry disease-specific molecular cargo, including proteins, lipids, and nucleic acids that mirror leukemic cell pathology, making them accessible through minimally invasive liquid biopsies. Current evidence demonstrates characteristic molecular signatures across different leukemia subtypes, with exosomal microRNAs such as miR-150, miR-155, and the miR-29 family showing diagnostic and prognostic value, while protein markers including CD19, CD20, and IFITM3 correlate with disease status and therapeutic responses. Beyond diagnostic applications, exosomes orchestrate complex biological processes that reshape the bone marrow microenvironment, facilitate immune evasion, and promote treatment resistance through intercellular molecular exchange, presenting both challenges and therapeutic opportunities. Clinical translation has gained momentum through European regulatory frameworks, with exosomes classified as advanced therapy medicinal products under EMA guidelines. Early clinical trials demonstrate safety and feasibility, while diagnostic precedents like the ExoDx Prostate Test provide regulatory pathways for implementation. However, significant obstacles persist, including standardization of isolation methods, validation of biomarker panels, and integration with existing clinical decision algorithms. European collaborative initiatives through organizations like ISEV-ELBS and the HARMONY consortium address these challenges by establishing standardized protocols and conducting multi-center validation studies. The integration of artificial intelligence and machine learning approaches offers transformative potential for addressing clinical implementation challenges, with algorithms demonstrating superior discrimination capabilities and standardization solutions. While most exosomal biomarkers remain in early validation phases requiring comprehensive clinical development, the convergence of advancing analytical technologies, evolving regulatory frameworks, and collaborative research initiatives positions exosomes as promising tools for advancing precision medicine in leukemia. However, realistic timelines and sustained investment in methodological standardization remain essential for successful clinical translation.

Indexed as

Biomarkers, TumorExosomesLeukemiaPrecision MedicineTranslational Research, BiomedicalAnimalsHumansLiquid BiopsyMicroRNAsPrognosisBiomarkers, TumorMicroRNAsbiomarkersclinical translationexosomesleukemialiquid biopsyprecision medicineregulatory pathways

Identifiers

PMID41103412
PMCPMC12521259

What OpenQuestion holds

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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.