Evidence map›Paper›PMID 41225668›Full record

ArticleCarcinogenesis2025

SRSF3 knockdown-induced cellular senescence as a possible therapeutic strategy for non-small cell lung cancer.

Shinji Nakamichi, Natalia von Muhlinen, Leo Yamada, Jilian R Melamed, Tyler E Papp, Hamideh Parhiz, Drew Weissman, Izumi Horikawa, Curtis C Harris

Abstract read
In one paragraph

Article in Carcinogenesis, 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. Review
  2. Article
  3. Hallmarks of the ageing lung: 10 years later.The European respiratory journal · 2026
    Review
  4. Review
  5. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

9 authors.

Shinji NakamichiLaboratory of Human Carcinogenesis, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, MD 20892, United States.ORCID 0000-0002-2298-6945
Natalia von MuhlinenLaboratory of Human Carcinogenesis, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, MD 20892, United States.ORCID 0000-0003-4331-3114
Leo YamadaLaboratory of Human Carcinogenesis, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, MD 20892, United States.ORCID 0000-0003-0179-4802
Jilian R MelamedDepartment of Medicine, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA 19104, United States.ORCID 0000-0003-0364-9334
Tyler E PappDepartment of Medicine, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA 19104, United States.ORCID 0000-0001-5116-0782
Hamideh ParhizDepartment of Medicine, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA 19104, United States.ORCID 0000-0002-2880-2836
Drew WeissmanDepartment of Medicine, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA 19104, United States.ORCID 0000-0002-1501-6510
Izumi HorikawaLaboratory of Human Carcinogenesis, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, MD 20892, United States.ORCID 0000-0002-2893-5014
Curtis C HarrisLaboratory of Human Carcinogenesis, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, MD 20892, United States.ORCID 0000-0001-5268-0181

Funding

p53, Aging, and CancerZIABC011496 · NCI · DIVISION OF BASIC SCIENCES - NCI · PI HARRIS, CURTIS · 2013 to 2025
$21.1M
Intramural NIH HHS ZIA BC011496Intramural Research ProgramJapanese Biomedical and Behavioral ResearchersJSPSNIHNIH HHS ZIA BC 011496Nippon Medical SchoolU.S. Department of Health and Human Services
6 · The paper itself

Abstract

Tyrosine kinase (TK) inhibitors improve clinical outcomes in non-small cell lung cancer (NSCLC) with targetable mutations. However, such NSCLC cases account for only about 50% in the western populations. Inhibition of the splicing factor SRSF3 has been reported to be tumor-suppressive in other cancer cell types. This study for the first time explores the tumor-suppressive activity of siRNA knockdown of SRSF3 in NSCLC cells. The cell lines used were A549 (no TK mutation; TP53 wild type), NCI-H1975 (EGFR L858R/T790M; TP53 R273H mutant), NCI-H322 (no TK mutation; TP53 R248L mutant), and NCI-H596 (no TK mutation; TP53 G245C mutant). In all these cell lines, SRSF3 knockdown increased cellular senescence, as indicated by increased senescence-associated β-galactosidase activity and reduced cell proliferation. In A549 cells, increased apoptotic cleavage of caspase-3 and poly(ADP-ribose) polymerase was also observed. A tumor-suppressive p53 isoform, p53β, was shown to be upregulated by SRSF3 knockdown. However, overexpression of p53β did not induce cellular senescence or apoptosis, suggesting that this p53 isoform is not a primary effector of SRSF3 knockdown in NSCLC cells. Gene expression analyses suggested that the SRSF3 knockdown-induced senescence in NSCLC cells may be mediated by the downregulation of TOP2A, UBE2C, or ASPM, which are known oncogenic factors associated with poor patient prognosis. We also generated SRSF3 siRNA-encapsulating lipid nanoparticles as a future therapeutic tool. This study proposes a therapeutic strategy for NSCLC that is independent of the mutation status of TP53 and TK-encoding genes.

Indexed as

Carcinoma, Non-Small-Cell LungCellular SenescenceLung NeoplasmsSerine-Arginine Splicing FactorsA549 CellsApoptosisCell Line, TumorCell ProliferationGene Expression Regulation, NeoplasticGene Knockdown TechniquesHumansMutationRNA, Small InterferingTumor Suppressor Protein p53RNA, Small InterferingSerine-Arginine Splicing FactorsSRSF3 protein, humanTumor Suppressor Protein p53cellular senescenceNSCLCsiRNA knockdownSRSF3therapeutic strategy

Identifiers

PMID41225668
PMCPMC12629605

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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.