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

Overview of attention for article published in Inflammation and Regeneration, May 2017
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Title
Cancer cell reprogramming to identify the genes competent for generating liver cancer stem cells
Published in
Inflammation and Regeneration, May 2017
DOI 10.1186/s41232-017-0041-x
Pubmed ID
Authors

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

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.

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The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 19 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 19 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 5 26%
Researcher 3 16%
Student > Master 3 16%
Other 2 11%
Student > Doctoral Student 2 11%
Other 2 11%
Unknown 2 11%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 10 53%
Agricultural and Biological Sciences 4 21%
Medicine and Dentistry 2 11%
Nursing and Health Professions 1 5%
Engineering 1 5%
Other 0 0%
Unknown 1 5%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 22 December 2017.
All research outputs
#16,725,651
of 25,382,440 outputs
Outputs from Inflammation and Regeneration
#149
of 258 outputs
Outputs of similar age
#198,402
of 326,979 outputs
Outputs of similar age from Inflammation and Regeneration
#4
of 6 outputs
Altmetric has tracked 25,382,440 research outputs across all sources so far. This one is in the 32nd percentile – i.e., 32% of other outputs scored the same or lower than it.
So far Altmetric has tracked 258 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 9.8. This one is in the 37th percentile – i.e., 37% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 326,979 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 36th percentile – i.e., 36% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 6 others from the same source and published within six weeks on either side of this one. This one has scored higher than 2 of them.