Evidence map›Paper›PMID 35851277›Full record

ArticleNature communications2022

Hepatocyte growth factor derived from senescent cells attenuates cell competition-induced apical elimination of oncogenic cells.

Nanase Igarashi, Kenichi Miyata, Tze Mun Loo, Masatomo Chiba, Aki Hanyu, Mika Nishio, Hiroko Kawasaki, Hao Zheng, Shinya Toyokuni, Shunsuke Kon and 3 more

Open access · goldAbstract read
In one paragraph

Article in Nature communications, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed, 1 pooled it
2.7field-weighted citation impact, top 9% of its field
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 synthesis or guideline pooled it, 30 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Review
  4. Article
  5. Article
  6. Review
  7. Article
  8. Tissue turnover and rejuvenation through mechanics.Frontiers in cell and developmental biology · 2026
    Review
  9. Article
  10. Article
  11. Acyl-CoA-binding protein as a driver of pathological aging.Proceedings of the National Academy of Sciences of the United States of America · 2025
    Article
  12. Review
  13. Review
  14. Review
  15. Article
  16. Review
  17. Article
  18. Review
  19. Article
  20. Identification of Novel Senescent Markers in Small Extracellular Vesicles.International journal of molecular sciences · 2023
    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

13 authors at 6 institutions in 1 country.

Nanase Igarashi *Project for Cellular Senescence, Cancer Institute, Japanese Foundation for Cancer Research, Tokyo, Japan.
Kenichi Miyata *Project for Cellular Senescence, Cancer Institute, Japanese Foundation for Cancer Research, Tokyo, Japan.
Tze Mun Loo *Project for Cellular Senescence, Cancer Institute, Japanese Foundation for Cancer Research, Tokyo, Japan.
Masatomo ChibaProject for Cellular Senescence, Cancer Institute, Japanese Foundation for Cancer Research, Tokyo, Japan.
Aki HanyuProject for Cellular Senescence, Cancer Institute, Japanese Foundation for Cancer Research, Tokyo, Japan.
Mika NishioProject for Cellular Senescence, Cancer Institute, Japanese Foundation for Cancer Research, Tokyo, Japan.
Hiroko KawasakiProject for Cellular Senescence, Cancer Institute, Japanese Foundation for Cancer Research, Tokyo, Japan.
Hao ZhengDepartment of Pathology and Biological Responses, Nagoya University Graduate School of Medicine, Nagoya, Japan.
Shinya ToyokuniDepartment of Pathology and Biological Responses, Nagoya University Graduate School of Medicine, Nagoya, Japan.ORCID 0000-0002-5757-1109
Shunsuke KonDivision of Development and Aging, Research Institute for Biomedical Sciences, Tokyo University of Science, Chiba, Japan.
Keiji MoriyamaDepartment of Maxillofacial Orthognathics, Tokyo Medical and Dental University, Tokyo, Japan.ORCID 0000-0003-0580-4510
Yasuyuki FujitaDepartment of Molecular Oncology, Graduate School of Medicine, Kyoto University, Kyoto, Japan.
Akiko TakahashiProject for Cellular Senescence, Cancer Institute, Japanese Foundation for Cancer Research, Tokyo, Japan. akiko.takahashi@jfcr.or.jp.ORCID 0000-0003-1904-7645
Japanese Foundation For Cancer Research · JPNagoya University · JPTokyo Medical and Dental University · JPJapan Agency for Medical Research and Development · JPKyoto University · JPTokyo University of Science · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Cellular senescence and cell competition are important tumor suppression mechanisms that restrain cells with oncogenic mutations at the initial stage of cancer development. However, the link between cellular senescence and cell competition remains unclear. Senescent cells accumulated during the in vivo aging process contribute toward age-related cancers via the development of senescence-associated secretory phenotype (SASP). Here, we report that hepatocyte growth factor (HGF), a SASP factor, inhibits apical extrusion and promotes basal protrusion of Ras-mutated cells in the cell competition assay. Additionally, cellular senescence induced by a high-fat diet promotes the survival of cells with oncogenic mutations, whereas crizotinib, an inhibitor of HGF signaling, provokes the removal of mutated cells from mouse livers and intestines. Our study provides evidence that cellular senescence inhibits cell competition-mediated elimination of oncogenic cells through HGF signaling, suggesting that it may lead to cancer incidence during aging.

Indexed as

Hepatocyte Growth FactorNeoplasmsAnimalsCarcinogenesisCell CompetitionCellular SenescenceMiceOncogenesHepatocyte Growth Factor

Identifiers

PMID35851277
PMCPMC9293948
OpenAlexW4285730880

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.