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Differential effects of GLI2 and GLI3 in regulating cervical cancer malignancy in vitro and in vivo

Overview of attention for article published in Laboratory Investigation, July 2018
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Title
Differential effects of GLI2 and GLI3 in regulating cervical cancer malignancy in vitro and in vivo
Published in
Laboratory Investigation, July 2018
DOI 10.1038/s41374-018-0089-5
Pubmed ID
Authors

Haiyan Zhu, Lu Xia, Qi Shen, Menghuang Zhao, Xiang Gu, Hakim Bouamar, Bingzhi Wang, Lu-Zhe Sun, Xueqiong Zhu

Abstract

Advanced, recurrent, or persistent cervical cancer is often incurable. Therefore, in-depth insights into the molecular mechanisms are needed for the development of novel therapeutic targets and the improvement of current therapeutic strategies. In this study, we investigated the role of GLI2 and GLI3 in the regulation of the malignant properties of cervical cancer. We showed that down-regulation of GLI2, but not GLI3, with an inducible GLI2 shRNA inhibited the growth and migration of cervical cancer cell lines, which could be rescued by ectopic expression of GLI2. GLI2 appeared to support cell growth by regulating the mitosis, but not the apoptosis, of the cervical cancer cells. Mechanistically, these functions of GLI2 were in part mediated by the activation of AKT pathway. Knockdown of GLI2, but not GLI3, also inhibited xenograft growth of cervical cancer cells in vivo. Finally, analysis of TCGA data showed that high levels of GLI2, but not GLI3, conferred a poor prognosis in cervical cancer patients. These observations for the first time suggest that GLI2, but not GLI3, exerts a tumor-promoting role in cervical cancer and may be targeted as a novel therapeutic strategy.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 14 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 14 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 4 29%
Student > Doctoral Student 2 14%
Student > Bachelor 2 14%
Lecturer > Senior Lecturer 1 7%
Student > Master 1 7%
Other 0 0%
Unknown 4 29%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 4 29%
Medicine and Dentistry 4 29%
Immunology and Microbiology 1 7%
Unknown 5 36%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 04 July 2018.
All research outputs
#22,767,715
of 25,385,509 outputs
Outputs from Laboratory Investigation
#1,938
of 2,086 outputs
Outputs of similar age
#299,653
of 341,564 outputs
Outputs of similar age from Laboratory Investigation
#38
of 39 outputs
Altmetric has tracked 25,385,509 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 2,086 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.3. This one is in the 1st percentile – i.e., 1% 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 341,564 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 39 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.