Evidence map›Paper›PMID 41112422›Full record

ReviewJournal of cancer prevention2025

The Role of Mesenchymal Stem Cells in Drug Resistance in Lung Neoplasms.

Dongho Kang, Eunhee Yeon, Sunyoung Kim, Eunjin Han, Taejo Kang, Hyekyung Song, Jiyoung Kim

Abstract readReview
In one paragraph

Review in Journal of cancer prevention, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Review
  2. 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

7 authors.

Dongho Kang *WINDBIO, Seoul, Korea.ORCID https://orcid.org/0009-0009-4607-3380
Eunhee Yeon *WINDBIO, Seoul, Korea.ORCID https://orcid.org/0009-0006-4776-7972
Sunyoung KimWINDBIO, Seoul, Korea.ORCID https://orcid.org/0009-0000-9633-5558
Eunjin HanWINDBIO, Seoul, Korea.ORCID https://orcid.org/0009-0001-0087-7174
Taejo KangYUJIN Plastic Surgery & Esthetic, Seoul, Korea.ORCID https://orcid.org/0009-0001-0271-4635
Hyekyung SongYUJIN Plastic Surgery & Esthetic, Seoul, Korea.ORCID https://orcid.org/0009-0009-7608-8735
Jiyoung KimWINDBIO, Seoul, Korea.ORCID https://orcid.org/0009-0000-0060-2931

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The tumor microenvironment (TME) is a decisive determinant of therapeutic response and the emergence of drug resistance in lung cancer. Among its stromal constituents, mesenchymal stem cells (MSCs) are pivotal regulators of disease progression because they secrete diverse paracrine mediators. Accumulating evidence indicates that MSC-derived cytokines, growth factors, and extracellular vesicles (EVs) drive epithelial-mesenchymal transition (EMT)-a phenotypic shift that augments cellular motility, invasiveness, and stem-like traits. EMT contributes directly to resistance against epidermal growth factor receptor tyrosine kinase inhibitors and platinum-based chemotherapy. Key MSC-secreted factors, such as TGF-β1, interleukin-6, and C-C motif chemokine ligand 5, activate signal transducer and activator of transcription 3, phosphoinositide 3-kinase/AKT, and Wnt/β-catenin cascades, thereby reinforcing drug-resistant phenotypes. MSC-induced EMT also remodels immune surveillance and supports the persistence of residual tumor clones. Elucidating the molecular reciprocity between MSCs and lung cancer cells within the TME is indispensable for rational therapy design. This review synthesizes current mechanistic insights into MSC-mediated EMT-driven resistance and discusses translational strategies including targeted inhibition of paracrine signaling and EV engineering that may restore drug sensitivity in lung cancer.

Indexed as

Drug resistanceEpithelial-mesenchymal transitionLung neoplasmsMesenchymal stem cellsneoplasm

Identifiers

PMID41112422
PMCPMC12527968

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.