Journal of Radiation Research and Radiation Proces ›› 2018, Vol. 36 ›› Issue (3): 30203-030203.doi: 10.11889/j.1000-3436.2018.rrj.36.030203

• RADIOBIOLOGY AND RADIOMEDICINE • Previous Articles     Next Articles

Comparison study on X-ray radiosensitivity in three tumor cell lines

YANG Yuqin, WANG Lili, KE Zunhui, YU Yeying, LI Chen, YOU Peimeng, HAN Bing, YANG Tian, GUO Zhong, ZHAO Jin   

  1. Medical College of Northwest Minzu University, Lanzhou 730030, China
  • Received:2018-02-05 Revised:2018-04-02 Online:2018-06-20 Published:2018-06-21
  • Supported by:

    Supported by National Natural Science Foundation of China (81260442, 81560508, and 31560254), Program for Leading Talent of SEAC ([2016]57), and National Undergraduate Training Programs for Innovation and Entrepreneurship (201810742137, 201710742101)

Abstract:

The present study was to compare the X-ray sensitivity in human cervical cancer cell line HeLa, human hepatoma cell line HepG2, and human mucoepidermoid carcinoma cell line MEC-1. At 0.5, 4, and 24 h after X-ray irradiation with absorbed doses of 2, 4, 6, and 8 Gy, clonogenic assay, neutral comet electrophoresis, and immunofluorescence staining were used to evaluate the cell proliferation, DNA double-strand breaks (DSBs), and formation of phosphorylated histone H2AX (γH2AX) foci. The results showed that HeLa cells had the highest survival fraction (SF) for 2, 4, 6, and 8 Gy group at different time points after irradiation. Comet assay software project (CASP) analysis showed that DSBs increased with irradiation time, and absorbed dose. Tail moment (TM) increased most significantly at 4 h after irradiation, especially in the MEC-1 cells. The γH2AX phosphorylation level in the three cell lines reached 100% at 0.5 and 4 h after irradiation, and then gradually decreased by 24 h, this decline in γH2AX phosphorylation was the most obvious in HeLa cells. The above mentioned results showed that the combined use of clonogenic assay, neutral comet electrophoresis, and phosphorylated γH2AX foci detection can effectively predict the radiosensitivity of tumor cells.

Key words: X-rays, Tumor cells, Radiosensitivity

CLC Number: 

  • R739.4