Evidence map›Paper›PMID 40843441›Full record

ArticleJournal of extracellular biology2025

Surface-Engineered Natural Killer Cell-Derived Small Extracellular Vesicles Induce Potent Anti-Tumour Effects in Lung Cancer Cells.

Sung-Min Kang, Dokyung Jung, Soojeong Noh, Sanghee Shin, Minju Kim, Hanchae Cho, Byungheon Lee, Kyungmoo Yea, Moon-Chang Baek

Abstract read
In one paragraph

Article in Journal of extracellular biology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Article
  2. Review
  3. Review
  4. Review
  5. Article
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

9 authors.

Sung-Min KangDepartment of Molecular Medicine, Cell and Matrix Research Institute (CMRI), School of Medicine Kyungpook National University Daegu Republic of Korea.
Dokyung JungDepartment of Molecular Medicine, Cell and Matrix Research Institute (CMRI), School of Medicine Kyungpook National University Daegu Republic of Korea.ORCID https://orcid.org/0000-0002-8502-7370
Soojeong NohDepartment of New Biology DGIST Daegu Republic of Korea.ORCID https://orcid.org/0000-0003-4275-9157
Sanghee ShinDepartment of New Biology DGIST Daegu Republic of Korea.ORCID https://orcid.org/0000-0001-8584-8382
Minju KimDepartment of Molecular Medicine, Cell and Matrix Research Institute (CMRI), School of Medicine Kyungpook National University Daegu Republic of Korea.
Hanchae ChoDepartment of Biomedical Science, School of Medicine Kyungpook National University Daegu Republic of Korea.
Byungheon LeeDepartment of Biomedical Science, School of Medicine Kyungpook National University Daegu Republic of Korea.
Kyungmoo YeaDepartment of New Biology DGIST Daegu Republic of Korea.ORCID https://orcid.org/0000-0002-3755-4520
Moon-Chang BaekDepartment of Molecular Medicine, Cell and Matrix Research Institute (CMRI), School of Medicine Kyungpook National University Daegu Republic of Korea.ORCID https://orcid.org/0000-0002-4266-1048

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Small extracellular vesicles (sEVs) derived from natural killer (NK) cells possess inherent anti-tumour activity and offer the advantages of cell-free therapy. In this study, we genetically engineered NK-sEVs to express interleukin 15 (IL15), an anti-tumour cytokine, and the monoclonal antibody cetuximab on their surface, creating a potent anti-tumour immunotherapy with enhanced tumour-targeting capabilities. These IL15- and cetuximab-tethered NK-sEVs (eEVs) were generated using lentivirus-based modification. eEVs selectively bound to EGFR

Indexed as

cetuximabinterleukin 15lung cancernatural killer cellssmall extracellular vesicles

Identifiers

PMID40843441
PMCPMC12365385

What OpenQuestion holds

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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.