Evidence map›Paper›PMID 31278361›Full record

ArticleCell death and differentiation2020

RUNX3 suppresses metastasis and stemness by inhibiting Hedgehog signaling in colorectal cancer.

Bo Ram Kim, Yoo Jin Na, Jung Lim Kim, Yoon A Jeong, Seong Hye Park, Min Jee Jo, Soyeon Jeong, Sanghee Kang, Sang Cheul Oh, Dae-Hee Lee

Open access · hybridAbstract read
In one paragraph

Article in Cell death and differentiation, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 44 papers.

0numbers the graph read from it
0cells of the map it votes in
44citing papers in PubMed
2.6field-weighted citation impact, top 10% 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

44 citing papers in PubMed, 76 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
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  5. Article
  6. Stabilization of OLFML1 via mInternational journal of biological sciences · 2025
    Article
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  8. Navigating the Molecular Signaling: Deciphering Cancer Stem Cell Self-Renewal Pathways.International journal of molecular and cellular medicine · 2025
    Review
  9. Review
  10. Review
  11. Article
  12. Article
  13. Article
  14. Review
  15. Article
  16. Review
  17. Article
  18. Research on Predicting the Occurrence of Hepatocellular Carcinoma Based on Notch Signal-Related Genes Using Machine Learning Algorithms.The Turkish journal of gastroenterology : the official journal of Turkish Society of Gastroenterology · 2023
    Article
  19. A novel prognostic model of methylation-associated genes in acute myeloid leukemia.Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico · 2023
    Article
  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

10 authors at 2 institutions in 1 country.

Bo Ram KimDepartment of Oncology, Korea University Guro Hospital, Korea University College of Medicine, Seoul, Republic of Korea.
Yoo Jin NaGraduate School of Medicine, Korea University College of Medicine, Seoul, Republic of Korea.
Jung Lim KimDepartment of Oncology, Korea University Guro Hospital, Korea University College of Medicine, Seoul, Republic of Korea.
Yoon A JeongGraduate School of Medicine, Korea University College of Medicine, Seoul, Republic of Korea.
Seong Hye ParkGraduate School of Medicine, Korea University College of Medicine, Seoul, Republic of Korea.
Min Jee JoGraduate School of Medicine, Korea University College of Medicine, Seoul, Republic of Korea.
Soyeon JeongDepartment of Oncology, Korea University Guro Hospital, Korea University College of Medicine, Seoul, Republic of Korea.
Sanghee KangDepartment of Surgery, Korea University Guro Hospital, Korea University College of Medicine, Seoul, Republic of Korea.
Sang Cheul OhDepartment of Oncology, Korea University Guro Hospital, Korea University College of Medicine, Seoul, Republic of Korea. sachoh@korea.ac.kr.
Dae-Hee LeeDepartment of Oncology, Korea University Guro Hospital, Korea University College of Medicine, Seoul, Republic of Korea. neogene@korea.ac.kr.
Korea University Medical Center · KRKorea University · KR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Disabled tumor suppressor genes and hyperactive oncogenes greatly contribute to cell fates during cancer development because of their genetic alterations such as somatic mutations. However, little is known about how tumor suppressor genes react to diverse oncogenes during tumor progression. Our previous study showed that RUNX3 inhibits invasiveness by preventing vascular endothelial growth factor secretion and suppressed endothelial cell growth and tube formation in colorectal cancer (CRC). Hedgehog signaling is crucial for the physiological maintenance and self-renewal of stem cells, and its deregulation is responsible for their tumor development. The mechanisms that inhibit this pathway during proliferation remain poorly understood. Here, we found that the tumor suppressor RUNX3 modulates tumorigenesis in response to cancer cells induced by inhibiting oncogene GLI1 ubiquitination. Moreover, we demonstrated that RUNX3 and GLI1 expression were inversely correlated in CRC cells and tissues. We observed a direct interaction between RUNX3 and GLI1, promoting ubiquitination of GLI1 at the intracellular level. Increased ubiquitination of GLI1 was induced by the E3 ligase β-TrCP. This novel RUNX3-dependent regulatory loop may limit the extent and duration of Hedgehog signaling during extension of the tumor initiation capacity. On the basis of our results, identification of agents that induce RUNX3 may be useful for developing new and effective therapies for CRC.

Indexed as

AnimalsApoptosisCell CycleCell ProliferationColonic NeoplasmsCore Binding Factor Alpha 3 SubunitFemaleHedgehog ProteinsHumansMaleMiceMice, Inbred BALB CMice, NudeNeoplasms, ExperimentalSignal TransductionTumor Cells, CulturedCore Binding Factor Alpha 3 SubunitHedgehog ProteinsRunx3 protein, human

Identifiers

PMID31278361
PMCPMC7205901
OpenAlexW2955053283

What OpenQuestion holds

Textmetadata
Read underepoch 390

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.