Related Experiment Video
Updated: Jul 13, 2025

Modeling Ovarian Cancer Multicellular Spheroid Behavior in a Dynamic 3D Peritoneal Microdevice
Published on: February 18, 2017
Mechanical properties of CTCs in patients with diagnosed ovarian cancer
Chuanzhi Liu1, Yuxi Huang2, Chunru Zhao3
1School of Life Science and Technology, Changchun University of Science and Technology, Changchun, Jilin Province 130022, China.
Abstract:
The incidence and mortality of gynecologic cancers have been constantly increasing in China over the last 2 decades, which become a major health concern for women. Survival rates of gynecologic cancers are generally not satisfactory and decrease along with the advancing stage, this is mainly due to the lack of a clear prognostic evaluation during the treatment, which brings difficulties to the treatment. Therefore, more accurate prognostic evaluation methods are urgently needed. To solve this problem, this article explores the changes in the biomechanical properties of cells. Changes in the biomechanical properties of circulating tumor cells (CTCs) were explored by nano detection technology. The reference criteria for clinical evaluation of ovarian cancer (Age, FIGO stage, Histologic type, CA-125, Ascites, Single/Double, Residual lesion, and Chemotherapy) were compared and analyzed. The results showed that the average cell height of CTCs was 4.12 ± 0.83 μm before chemotherapy and 4.87 ± 0.71 μm after chemotherapy, with an average increase of 18.203 %. The apparent Young's modulus (E) was 3.884 ± 0.045 kPa before chemotherapy and 4.514 ± 0.025 kPa after chemotherapy, which increased by 0.63 kPa. The ROC analysis of FIGO stage of ovarian cancer patients showed that Young's modulus of cells could better reflect the accuracy of the evaluation of FIGO stage of patients, with the accuracy reaching 76.7 %, which was higher than the detection accuracy of CA-125 (72.6 %). In conclusion, the mechanical properties of CTCs can indicate the FIGO stage and diagnosis of patients and predict the prognostic risk of patients.

