Evidence mapPaperPMID 42518680Full record

ReviewInternational journal of nanomedicine2026

EV-Mediated Oncogenic Regulation in Lung Cancer and Clinical Translation: From Liquid Biopsy to Targeted Delivery Systems.

Jianjun Fang, Jing Li, Lun Yan, Yang Yang, Ying Chen, Xi Zhang, Cheng Zhang

Abstract readReview
In one paragraph

Review in International journal of nanomedicine, 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

7 authors.

Jianjun Fang *Medical Center of Hematology, Xinqiao Hospital, Army Medical University, Chongqing, 400037, People's Republic of China.
Jing Li *Medical Center of Hematology, Xinqiao Hospital, Army Medical University, Chongqing, 400037, People's Republic of China.
Lun YanMedical Center of Hematology, Xinqiao Hospital, Army Medical University, Chongqing, 400037, People's Republic of China.
Yang YangMedical Center of Hematology, Xinqiao Hospital, Army Medical University, Chongqing, 400037, People's Republic of China.
Ying ChenMedical Center of Hematology, Xinqiao Hospital, Army Medical University, Chongqing, 400037, People's Republic of China.
Xi ZhangMedical Center of Hematology, Xinqiao Hospital, Army Medical University, Chongqing, 400037, People's Republic of China.
Cheng ZhangMedical Center of Hematology, Xinqiao Hospital, Army Medical University, Chongqing, 400037, People's Republic of China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Lung cancer (LC) remains the leading cause of cancer-associated mortality globally. Delayed diagnosis, therapeutic resistance and high postoperative recurrence are major hurdles that compromise its clinical outcomes. Extracellular vesicles (EVs) are cell-secreted nanoscale lipid vesicles that mediate intercellular crosstalk via the transfer of bioactive cargo, such as nucleic acids and proteins. In the lung cancer microenvironment, EVs remodel core signaling axes including PI3K/AKT and NF-κB, consequently driving hallmark malignant phenotypes: angiogenesis, distant metastasis, immune evasion and multidrug resistance. Boasting robust physicochemical stability, complete molecular cargo signatures and minimally invasive sampling feasibility, EVs represent ideal tumor biomarkers for liquid biopsy. Additionally, their intrinsic low immunogenicity renders EVs versatile nanovehicles capable of amplifying anti-tumor effects elicited by conventional radiotherapy, chemotherapy and immunotherapy. However, substantial inherent heterogeneity, a lack of unified standards for EVs isolation and characterization, obstacles to scalable production and inadequate tumor-targeting efficiency collectively impede their clinical translation. This review systematically dissects the molecular mechanisms through which EVs orchestrate lung cancer malignant progression, comprehensively outlines state-of-the-art progress of EVs applications in liquid biopsy-based early screening, prognostic stratification, targeted drug delivery and cellular immunotherapy, thoroughly discusses prevailing translational bottlenecks, and envisions future directions of EVs in precision oncology for lung cancer. The work offers theoretical guidance for developing next-generation EV-centric diagnostic and therapeutic platforms.

Indexed as

Drug Delivery SystemsExtracellular VesiclesLung NeoplasmsAnimalsBiomarkers, TumorHumansLiquid BiopsyTumor MicroenvironmentBiomarkers, Tumorcancer biomarkersextracellular vesiclesliquid biopsylung cancertargeted drug delivery

Identifiers

PMID42518680
PMCPMC13384104

What Socratic holds

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LicenceCC BY-NC
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.