Evidence map›Paper›PMID 24482741›Full record

ArticleAmerican journal of cancer research2014

Mouse induced pluripotent stem cell microenvironment generates epithelial-mesenchymal transition in mouse Lewis lung cancer cells.

Ling Chen, Akifumi Mizutani, Tomonari Kasai, Ting Yan, Guoliang Jin, Arun Vaidyanath, Bishoy Ya El-Aarag, Yixin Liu, Takayuki Kudoh, David S Salomon and 2 more

Open access · greenAbstract read
In one paragraph

Article in American journal of cancer research, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
1.0field-weighted citation impact, top 26% 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

9 citing papers in PubMed, 11 citations in OpenAlex.

  1. Review
  2. Article
  3. Exogenous Cripto-1 Suppresses Self-Renewal of Cancer Stem Cell Model.International journal of molecular sciences · 2018
    Article
  4. Article
  5. Article
  6. Article
  7. Review
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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 at 5 institutions in 4 countries.

Ling ChenDepartment of Medical and Bioengineering Science, Graduate School of Natural Science and Technology, Okayama University Okayama 700-8530, Japan ; Department of Pathology, Tianjin Central Hospital of Gynecology Obstetrics Tianjin 300100, People's Republic of China ; Japan Society for The Promotion of Science Tokyo 102-8472, Japan.
Akifumi MizutaniDepartment of Medical and Bioengineering Science, Graduate School of Natural Science and Technology, Okayama University Okayama 700-8530, Japan.
Tomonari KasaiDepartment of Medical and Bioengineering Science, Graduate School of Natural Science and Technology, Okayama University Okayama 700-8530, Japan.
Ting YanDepartment of Medical and Bioengineering Science, Graduate School of Natural Science and Technology, Okayama University Okayama 700-8530, Japan.
Guoliang JinDepartment of Medical and Bioengineering Science, Graduate School of Natural Science and Technology, Okayama University Okayama 700-8530, Japan.
Arun VaidyanathDepartment of Medical and Bioengineering Science, Graduate School of Natural Science and Technology, Okayama University Okayama 700-8530, Japan.
Bishoy Ya El-AaragDepartment of Chemistry, Biochemistry Specialty, Faculty of Science, Menofia University Egypt.
Yixin LiuJapan Society for The Promotion of Science Tokyo 102-8472, Japan.
Takayuki KudohDepartment of Medical and Bioengineering Science, Graduate School of Natural Science and Technology, Okayama University Okayama 700-8530, Japan.
David S SalomonMouse Cancer Genetics Program, Bldg 560, Room 12-67, National Cancer Institute, National Institutes of Health Frederick, MD 21702, USA.
Li FuDepartment of Breast Cancer Pathology and Research Laboratory, State Key Laboratory of Breast Cancer Research, Cancer Hospital of Tianjin Medical University Tianjin 300060, People's Republic of China.
Masaharu SenoDepartment of Medical and Bioengineering Science, Graduate School of Natural Science and Technology, Okayama University Okayama 700-8530, Japan.
Okayama University · JPFrederick National Laboratory for Cancer Research · USJapan Society for the Promotion of Science · JPMenoufia University · EGTianjin Medical University Cancer Institute and Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Induced pluripotent stem (iPS) cells may be a powerful tool in regenerative medicine, but their potential tumorigenicity is a significant challenge for the clinical use of iPS cells. Previously, we succeeded in converting miPS cells into cancer stem cells (CSCs) under the conditions of tumor microenvironment. Both stem cells and tumor cells are profoundly influenced by bi-directional communication with their respective microenvironment, which dictates cell fate determination and behavior. The microenvironment derived from iPS cells has not been well studied. In this paper, we have investigated the effects of secreted factors from Nanog-mouse iPS (miPS) cells on mouse Lewis lung cancer (LLC) cells that are found in the conditioned media. The results demonstrated that miPS cells secrete factors that can convert the epithelia phenotype of LLC cells to a mesenchymal phenotype, and that can promote tumorigenisity, migration and invasion. Furthermore, LLC cells that have been exposed to miPS conditioned medium became resistant to apoptosis. These various biological effects suggest that the miPS microenvironment contain factors that can promote an epithelial-mesenchymal transition (EMT) through an active Snail-MMP axis or by suppressing differentiation in LLC cells.

Indexed as

epithelial-mesenchymal transitionlung Lewis cancer cellMouse induced pluripotent stem cellstem cell microenvironment

Identifiers

PMID24482741
PMCPMC3902235
OpenAlexW1546585629

What OpenQuestion holds

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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.