Evidence map›Paper›PMID 29259714›Full record

ReviewInflammation and regeneration2017

Cancer cell reprogramming to identify the genes competent for generating liver cancer stem cells.

Kenly Wuputra, Chang-Shen Lin, Ming-Ho Tsai, Chia-Chen Ku, Wen-Hsin Lin, Ya-Han Yang, Kung-Kai Kuo, Kazunari K Yokoyama

Abstract readReview
In one paragraph

Review in Inflammation and regeneration, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Review
  2. Review
  3. Review
  4. 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

8 authors.

Kenly Wuputra *Graduate Institute of Medicine, Kaohsiung Medical University, Kaohsiung, 807 Taiwan.
Chang-Shen Lin *Graduate Institute of Medicine, Kaohsiung Medical University, Kaohsiung, 807 Taiwan.
Ming-Ho TsaiGraduate Institute of Medicine, Kaohsiung Medical University, Kaohsiung, 807 Taiwan.
Chia-Chen KuGraduate Institute of Medicine, Kaohsiung Medical University, Kaohsiung, 807 Taiwan.
Wen-Hsin LinGraduate Institute of Medicine, Kaohsiung Medical University, Kaohsiung, 807 Taiwan.
Ya-Han YangCenter of Stem Cell Research, Kaohsiung Medical University, Kaohsiung, 807 Taiwan.
Kung-Kai KuoCenter of Stem Cell Research, Kaohsiung Medical University, Kaohsiung, 807 Taiwan.
Kazunari K YokoyamaGraduate Institute of Medicine, Kaohsiung Medical University, Kaohsiung, 807 Taiwan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The cancer stem cell (CSC) hypothesis postulates that cancer originates from the malignant transformation of stem/progenitor cells and is considered to apply to many cancers, including liver cancer. Identification that CSCs are responsible for drug resistance, metastasis, and secondary tumor appearance suggests that these populations are novel obligatory targets for the treatment of cancer. Here, we describe our new method for identifying potential CSC candidates. The reprogramming of cancer cells via induced pluripotent stem cell (iPSC) technology is a novel therapy for the treatment and for the study of CSC-related genes. This technology has advantages for studying the interactions between CSC-related genes and the cancer niche microenvironment. This technology may also provide a useful platform for studying the genes involved in the generation of CSCs before and after reprogramming, and for elucidating the mechanisms underlying cancer initiation and progression. The present review summarizes the current understanding of transcription factors involved in the generation of liver CSCs from liver cancer cell-derived iPSCs and how these contribute to oncogenesis, and discusses the modeling of liver cancer development.

Indexed as

c-JUN oncogeneInduced pluripotent stem cellsLiver cancerOCT4Reprogramming

Identifiers

PMID29259714
PMCPMC5725927

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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.