Evidence map›Paper›PMID 41737608›Full record

ReviewAnimal cells and systems2026

Long non-coding RNAs in the exosomal network: dual roles and clinical implications in cancer.

Goeun Yoon, Seulhye Cho, Yu-Ri Choi, Jungwook Roh, Wanyeon Kim

Abstract readReview
In one paragraph

Review in Animal cells and systems, 2026. 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

5 authors.

Goeun YoonDepartment of Science Education, Korea National University of Education, Cheongju-si, Chungbuk, 28173, Republic of Korea.
Seulhye ChoDepartment of Science Education, Korea National University of Education, Cheongju-si, Chungbuk, 28173, Republic of Korea.
Yu-Ri ChoiDepartment of Science Education, Korea National University of Education, Cheongju-si, Chungbuk, 28173, Republic of Korea.
Jungwook RohDepartment of Biology Education, Seowon University, Cheongju-si, Chungbuk, 28674, Republic of Korea.
Wanyeon KimDepartment of Science Education, Korea National University of Education, Cheongju-si, Chungbuk, 28173, Republic of Korea.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Exosomes are a type of extracellular vesicles with a diameter of 30-150 nm, formed within multivesicular bodies of late endosomes, and released into the extracellular environment before being taken up by recipient cells. Exosomes transfer bioactive molecules, such as proteins and various RNAs, between cells and thereby influence recipient cell behavior. Among these molecules, long non-coding RNAs (lncRNAs) are not only selectively packaged into exosomes but have also been reported to participate in exosome biogenesis and secretion. Furthermore, they can contribute to cancer development by regulating gene expression through epigenetic mechanisms such as miRNA sponging, protein interactions, and methylation. These mechanisms appear to drive tumorigenesis by altering the tumor microenvironment, including macrophage polarization, immune evasion and suppression, angiogenesis, and lymphangiogenesis-mediated metastasis. In addition, exosomal lncRNAs can be readily detected in serum, highlighting their potential as biomarkers for liquid biopsy-based diagnosis. Finally, exosomal lncRNAs have been reported to contribute to drug resistance in various cancers. Therefore, therapeutic strategies targeting exosomal lncRNAs are expected to improve clinical outcomes in cancer patients.

Indexed as

Cancer progressionExosomeLong non-coding RNAtherapeutic resistanceTumor microenvironment

Identifiers

PMID41737608
PMCPMC12927404

What OpenQuestion holds

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Registered trials

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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.