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Long non-coding RNA tumor suppressor candidate 7 functions as a tumor suppressor and inhibits proliferation in osteosarcoma

Overview of attention for article published in Tumor Biology, January 2016
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Title
Long non-coding RNA tumor suppressor candidate 7 functions as a tumor suppressor and inhibits proliferation in osteosarcoma
Published in
Tumor Biology, January 2016
DOI 10.1007/s13277-015-4414-y
Pubmed ID
Authors

Menglin Cong, Jianmin Li, Rui Jing, Zhenzhong Li

Abstract

Osteosarcoma is the most common malignant tumor of bone. Recent studies have proven long non-coding RNAs (lncRNAs) play important roles in the tumorigenesis and progression of cancer. However, few lncRNAs have been investigated in osteosarcoma. Here, we reported a novel lncRNA, tumor suppressor candidate 7 (TUSC7), was significantly downregulated in osteosarcoma tissues compared with paired non-tumor tissues and low expression of TUSC7 indicated poor survival (HR = 0.313, 95 % confidence interval (CI) 0.092-0.867) of osteosarcoma patients. Further analysis revealed that loss copy number of TUSC7 was correlated with low expression of TUSC7, and additionally, loss of TUSC7 copy number also indicated poor prognosis (HR = 3.994, 95 % CI 1.147-13.91) of osteosarcoma patients. Two osteosarcoma cell lines, HOS and MG63, were utilized to investigate biological function of TUSC7. Cell counting kit 8 (CCK-8) assay revealed that after silence of TUSC7, cell proliferation ability increased and the colony formation ability also increased. Further results showed that cell cycle was not affected by treatment of si-TUSC7, while the percentage of apoptotic cells decreased. Western blot showed that after silence of TUSC7, the proapoptotic Bcl2 expression was downregulated. Finally, we established xenograft tumor models in nude mice with MG63 cells. Compared with negative control group, silence of TUSC7 significantly promoted tumor growth in vivo. Thus, we demonstrated that TUSC7 could be a potential tumor suppressor in osteosarcoma.

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Geographical breakdown

Country Count As %
Unknown 15 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 6 40%
Student > Master 3 20%
Student > Bachelor 2 13%
Unspecified 1 7%
Student > Doctoral Student 1 7%
Other 2 13%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 8 53%
Medicine and Dentistry 2 13%
Agricultural and Biological Sciences 2 13%
Unspecified 1 7%
Computer Science 1 7%
Other 1 7%
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 20 January 2016.
All research outputs
#20,983,210
of 23,613,071 outputs
Outputs from Tumor Biology
#1,851
of 2,614 outputs
Outputs of similar age
#334,645
of 397,639 outputs
Outputs of similar age from Tumor Biology
#160
of 250 outputs
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