Evidence map›Paper›PMID 38776912›Full record

ArticleCell reports. Medicine2024

Targeting WEE1 enhances the antitumor effect of KRAS-mutated non-small cell lung cancer harboring TP53 mutations.

Koji Fukuda, Shinji Takeuchi, Sachiko Arai, Shigeki Nanjo, Shigeki Sato, Hiroshi Kotani, Kenji Kita, Akihiro Nishiyama, Hiroyuki Sakaguchi, Koshiro Ohtsubo and 1 more

Abstract read
In one paragraph

Article in Cell reports. Medicine, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing 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

21 citing papers in PubMed.

  1. Review
  2. Genetic insights into lung squamous cell carcinoma: howTranslational cancer research · 2026
    Article
  3. Review
  4. Article
  5. Article
  6. Article
  7. Systematic and precise interventions for KRAS-mutant cancers.Experimental hematology & oncology · 2026
    Review
  8. Article
  9. Review
  10. Review
  11. Article
  12. Article
  13. Targeting WEE1 to Overcome ARID1A Mutation-Driven Osimertinib Resistance in EGFR-Mutant Lung Cancer.Journal of thoracic oncology : official publication of the International Association for the Study of Lung Cancer · 2025
    Article
  14. Article
  15. Article
  16. Review
  17. Article
  18. Article
  19. Review
  20. 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

11 authors.

Koji FukudaDivision of Medical Oncology, Cancer Research Institute, Kanazawa University, Kanazawa, Japan; Nano Life Science Institute, Kanazawa University, Kanazawa, Japan. Electronic address: kfukuda@staff.kanazawa-u.ac.jp.
Shinji TakeuchiDivision of Medical Oncology, Cancer Research Institute, Kanazawa University, Kanazawa, Japan; Nano Life Science Institute, Kanazawa University, Kanazawa, Japan. Electronic address: takeuchi@staff.kanazawa-u.ac.jp.
Sachiko AraiNano Life Science Institute, Kanazawa University, Kanazawa, Japan.
Shigeki NanjoDepartment of Respiratory Medicine, Faculty of Medicine, Institute of Medical, Pharmaceutical, and Health Sciences, Kanazawa University, Kanazawa, Japan.
Shigeki SatoDivision of Medical Oncology, Cancer Research Institute, Kanazawa University, Kanazawa, Japan.
Hiroshi KotaniDivision of Medical Oncology, Cancer Research Institute, Kanazawa University, Kanazawa, Japan.
Kenji KitaCentral Research Resource Branch, Cancer Research Institute, Kanazawa University, Kanazawa, Japan.
Akihiro NishiyamaDivision of Medical Oncology, Cancer Research Institute, Kanazawa University, Kanazawa, Japan.
Hiroyuki SakaguchiDivision of Medical Oncology, Cancer Research Institute, Kanazawa University, Kanazawa, Japan.
Koshiro OhtsuboDivision of Medical Oncology, Cancer Research Institute, Kanazawa University, Kanazawa, Japan.
Seiji YanoNano Life Science Institute, Kanazawa University, Kanazawa, Japan; Department of Respiratory Medicine, Faculty of Medicine, Institute of Medical, Pharmaceutical, and Health Sciences, Kanazawa University, Kanazawa, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The clinical development of Kirsten rat sarcoma virus (KRAS)-G12C inhibitors for the treatment of KRAS-mutant lung cancer is limited by the presence of co-mutations, intrinsic resistance, and the emergence of acquired resistance. Therefore, innovative strategies for enhancing apoptosis in KRAS-mutated non-small cell lung cancer (NSCLC) are urgently needed. Through CRISPR-Cas9 knockout screening using a library of 746 crRNAs and drug screening with a custom library of 432 compounds, we discover that WEE1 kinase inhibitors are potent enhancers of apoptosis, particularly in KRAS-mutant NSCLC cells harboring TP53 mutations. Mechanistically, WEE1 inhibition promotes G2/M transition and reduces checkpoint kinase 2 (CHK2) and Rad51 expression in the DNA damage response (DDR) pathway, which is associated with apoptosis and the repair of DNA double-strand breaks, leading to mitotic catastrophe. Notably, the combined inhibition of KRAS-G12C and WEE1 consistently suppresses tumor growth. Our results suggest targeting WEE1 as a promising therapeutic strategy for KRAS-mutated NSCLC with TP53 mutations.

Indexed as

ApoptosisCarcinoma, Non-Small-Cell LungCell Cycle ProteinsLung NeoplasmsMutationProtein-Tyrosine KinasesProto-Oncogene Proteins p21(ras)Tumor Suppressor Protein p53AnimalsCell Line, TumorHumansMiceMice, NudeProtein Kinase InhibitorsXenograft Model Antitumor AssaysCell Cycle ProteinsKRAS protein, humanProtein Kinase InhibitorsProtein-Tyrosine KinasesProto-Oncogene Proteins p21(ras)TP53 protein, humanTumor Suppressor Protein p53WEE1 protein, humanazenosertibCHK2DNA damage response pathwayG12CKirsten rat sarcomaKRASnon-small cell lung cancersotorasibTP53WEE1

Identifiers

PMID38776912
PMCPMC11228449

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.