Verification of TREX1 as a promising indicator of judging the prognosis of osteosarcoma

5Citations
Citations of this article
16Readers
Mendeley users who have this article in their library.

This article is free to access.

Abstract

Background: The study aimed to explore the correlation between the expression of TREX1 and the metastasis and the survival time of patients with osteosarcoma as well as biological characteristics of osteosarcoma cells for the prognosis judgment of osteosarcoma. Method: The correlation between the expression of TREX1 protein and the occurrence of pulmonary metastasis in 45 cases of osteosarcoma was analyzed. The CD133+ and CD133- cell subsets of osteosarcoma stem cells were sorted by the flow cytometry. The tumorsphere culture, clone formation, growth curve, osteogenic and adipogenic differentiation, tumor-formation ability in nude mice, sensitivity of chemotherapeutic drugs, and other cytobiology behaviors were compared between the cell subsets in two groups; the expressions of stem cell-related genes Nanog and Oct4 were compared; The expressions of TREX1 protein and mRNA were compared between the cell subsets in two groups. The data was statistically analyzed. The measurement data between the two groups were compared using t test. The count data between the two groups were compared using χ 2 test and Kaplan-Meier survival analysis. A P value <0.05 indicated that the difference was statistically significant. Results: The expression of TREX1 protein in patients with osteosarcoma in the metastasis group was significantly lower than that in the non-metastasis group. The difference was statistically significant (P < 0.05). Up to the last follow-up visit, the former average survival time was significantly lower than that of the latter, and the difference was statistically significant (P < 0.05). The expression of TREX1 in human osteosarcoma CD133+ cell subsets was significantly lower than that in CD133- cell subsets. Stemness-related genes Nanog and Oct4 were highly expressed in human osteosarcoma CD133+ cell subsets with lower expression of TREX1; the biological characteristics identification experiment showed that human CD133+ cell subsets with low TREX1 expression could form tumorspheres, the number of colony forming was more, the cell proliferation ability was strong, the osteogenic and adipogenic differentiation potential was big, the tumor-forming ability in nude mice was strong, and the sensibility of chemotherapeutics drugs on cisplatin was low. Conclusions: The expression of TREX1 may be related to metastasis in patients with osteosarcoma. The expression of TREX1 was closely related to the cytobiology characteristics of osteosarcoma stem cell. TREX1 can play an important role in the occurrence and development processes. And, TREX1 is expected to become an effective new index for the evaluation of the prognosis.

References Powered by Scopus

Prospective identification of tumorigenic breast cancer cells

9008Citations
N/AReaders
Get full text

Stem cells, cancer, and cancer stem cells

8411Citations
N/AReaders
Get full text

The molecular pathogenesis of osteosarcoma: A review

310Citations
N/AReaders
Get full text

Cited by Powered by Scopus

TREX1 plays multiple roles in human diseases

11Citations
N/AReaders
Get full text

TREX1 cytosolic DNA degradation correlates with autoimmune disease and cancer immunity

10Citations
N/AReaders
Get full text

MetastaSite: Predicting metastasis to different sites using deep learning with gene expression data

5Citations
N/AReaders
Get full text

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Cite

CITATION STYLE

APA

Feng, J., Lan, R., Cai, G., Lin, J., Wang, X., Lin, J., & Han, D. (2016). Verification of TREX1 as a promising indicator of judging the prognosis of osteosarcoma. Journal of Orthopaedic Surgery and Research, 11(1). https://doi.org/10.1186/s13018-016-0487-6

Readers over time

‘16‘17‘18‘19‘20‘21‘2202468

Readers' Seniority

Tooltip

PhD / Post grad / Masters / Doc 4

44%

Researcher 3

33%

Professor / Associate Prof. 2

22%

Readers' Discipline

Tooltip

Agricultural and Biological Sciences 3

30%

Medicine and Dentistry 3

30%

Biochemistry, Genetics and Molecular Bi... 3

30%

Nursing and Health Professions 1

10%

Save time finding and organizing research with Mendeley

Sign up for free
0