Evidence map›Paper›PMID 26556861›Full record

ArticleOncotarget2015

Therapeutics targeting CD90-integrin-AMPK-CD133 signal axis in liver cancer.

Wei-Ching Chen, Yung-Sheng Chang, Hui-Ping Hsu, Meng-Chi Yen, Hau-Lun Huang, Chien-Yu Cho, Chih-Yang Wang, Tzu-Yang Weng, Po-Ting Lai, Ching-Shih Chen and 2 more

Abstract read
In one paragraph

Article in Oncotarget, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 32 papers.

0numbers the graph read from it
0cells of the map it votes in
32citing 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

32 citing papers in PubMed.

  1. Review
  2. Review
  3. Review
  4. Article
  5. Article
  6. Article
  7. Review
  8. Article
  9. Article
  10. Thy-1-Integrin Interactions inFrontiers in cell and developmental biology · 2022
    Review
  11. Article
  12. Review
  13. Article
  14. Review
  15. Review
  16. Article
  17. Review
  18. Article
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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

12 authors.

Wei-Ching ChenDepartment of Biochemistry and Molecular Biology, College of Medicine, National Cheng Kung University, Tainan, Taiwan.
Yung-Sheng ChangDepartment of Biochemistry and Molecular Biology, College of Medicine, National Cheng Kung University, Tainan, Taiwan.
Hui-Ping HsuDepartment of Surgery, College of Medicine, National Cheng Kung University, Tainan, Taiwan.
Meng-Chi YenDepartment of Biochemistry and Molecular Biology, College of Medicine, National Cheng Kung University, Tainan, Taiwan.
Hau-Lun HuangDepartment of Biochemistry and Molecular Biology, College of Medicine, National Cheng Kung University, Tainan, Taiwan.
Chien-Yu ChoDepartment of Biochemistry and Molecular Biology, College of Medicine, National Cheng Kung University, Tainan, Taiwan.
Chih-Yang WangDepartment of Biochemistry and Molecular Biology, College of Medicine, National Cheng Kung University, Tainan, Taiwan.
Tzu-Yang WengDepartment of Biochemistry and Molecular Biology, College of Medicine, National Cheng Kung University, Tainan, Taiwan.
Po-Ting LaiDivision of Medicinal Chemistry, College of Pharmacy, The Ohio State University, Columbus, OH, USA.
Ching-Shih ChenDivision of Medicinal Chemistry, College of Pharmacy, The Ohio State University, Columbus, OH, USA.
Yih-Jyh LinDepartment of Surgery, College of Medicine, National Cheng Kung University, Tainan, Taiwan.
Ming-Derg LaiDepartment of Biochemistry and Molecular Biology, College of Medicine, National Cheng Kung University, Tainan, Taiwan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

CD90 is used as a marker for cancer stem cell in liver cancer. We aimed to study the mechanism by which CD90 promoted liver cancer progression and identify the new therapeutic targets on CD90 signal pathway. Ectopic expression of CD90 in liver cancer cell lines enhanced anchorage-independent growth and tumor progression. Furthermore, CD90 promoted sphere formation in vitro and upregulated the expression of the cancer stem cell marker CD133. The CD133 expression was higher in CD45-CD90+ cells in liver cancer specimen. The natural carcinogenic molecules TGF-β-1, HGF, and hepatitis B surface antigen increased the expression of CD90 and CD133. Inhibition of CD90 by either shRNA or antibody attenuated the induction of CD133 and anchorage-independent growth. Lentiviral delivery of CD133 shRNA abolished the tumorigenicity induced by CD90. Ectopic expression of CD90 induced mTOR phosphorylation and AMPK dephosphorylation. Mutation of integrin binding-RLD domain in CD90 attenuated the induction of CD133 and anchorage-independent growth. Similar results were observed after silencing β3 integrin. Signaling analyses revealed that AMPK/mTOR and β3 integrin were required for the induction of CD133 and tumor formation by CD90. Importantly, the energy restriction mimetic agent OSU-CG5 reduced the CD90 population in fresh liver tumor sample and repressed the tumor growth. In contrast, sorafenib did not decrease the CD90+ population. In conclusion, the signal axis of CD90-integrin-mTOR/AMPK-CD133 is critical for promoting liver carcinogenesis. Molecules inhibiting the signal axis, including OSU-CG5 and other inhibitors, may serve as potential novel cancer therapeutic targets in liver cancer.

Indexed as

AC133 AntigenAMP-Activated Protein KinasesAnimalsAntigens, CDAntineoplastic AgentsBlotting, WesternCarcinogenesisCarcinoma, HepatocellularCell Line, TumorCell ProliferationFlow CytometryGene Knockdown TechniquesGlycoproteinsHumansIntegrinsLiver NeoplasmsAC133 AntigenAMP-Activated Protein KinasesAntigens, CDAntineoplastic AgentsGlycoproteinsIntegrinsOSU-CG5PeptidesPROM1 protein, humanProm1 protein, mouseRNA, Small InterferingThiazolidinedionesThy-1 AntigensAMPKcancer stem cell markerintegrinmTOROSU-CG5

Identifiers

PMID26556861
PMCPMC4767481

What OpenQuestion holds

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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.