Regional Biomechanical Imaging of Liver Cancer Cells

30 Pages Posted: 1 Nov 2018

See all articles by Weiwei Pei

Weiwei Pei

Soochow University - Collaborative Innovation Center of Radiation Medicine of Jiangsu Higher Education Institutions

Jiayao Chen

Soochow University - Center for Molecular Imaging and Nuclear Medicine

Chao Wang

Drexel University - School of Biomedical Engineering

Suhao Qiu

Shanghai Jiao Tong University (SJTU) - Institute for Medical Imaging Technology

Jianfeng Zeng

Soochow University - Center for Molecular Imaging and Nuclear Medicine

Mingyuan Gao

Soochow University - Center for Molecular Imaging and Nuclear Medicine

Bin Zhou

Sun Yat-Sen University (SYSU) - Guangdong Provincial Engineering Research Center of Molecular Imaging

Dan Li

Sun Yat-Sen University (SYSU) - Guangdong Provincial Engineering Research Center of Molecular Imaging

Michael S. Sacks

University of Texas at Austin - James T. Willerson Center for Cardiovascular Modeling and Simulation

Lin Han

Drexel University - School of Biomedical Engineering

Hong Shan

Sun Yat-Sen University (SYSU) - Guangdong Provincial Engineering Research Center of Molecular Imaging

Wentao Hu

Soochow University - Collaborative Innovation Center of Radiation Medicine of Jiangsu Higher Education Institutions

Guangming Zhou

Soochow University - Collaborative Innovation Center of Radiation Medicine of Jiangsu Higher Education Institutions

Yuan Feng

University of Texas at Austin - Willerson Center for Cardiovascular Modeling and Simulation

Date Written: October 30, 2018

Abstract

Liver cancer is one of the leading cancers, especially in developing countries. Understanding the biomechanical properties of the liver cancer cells can not only help to elucidate the mechanisms behind the cancer progression, but also provide important information for diagnosis and treatment. At the cellular level, we used well-established atomic force microscopy (AFM) techniques to characterize the heterogeneity of mechanical properties of two different types of human liver cancer cells and a normal liver cell. Stiffness maps with a resolution of 128x128 were acquired for each cell. The distributions of the indentation moduli of the cells showed significant differences between cancerous cells and healthy controls. Significantly, the variability was even greater amongst different types of cancerous cells. Fitting of the histogram of the effective moduli using a normal distribution function showed the Bel7402 cells were stiffer than the normal cells while HepG2 cells were softer. Morphological analysis of the cell structures also showed a higher cytoskeleton content among the cancerous cells. Results provided a foundation for applying knowledge of cell stiffness heterogeneity to search for tissue-level, early-stage indicators of liver cancer.

Keywords: biomechanics, AFM, indentation, liver cancer, cell stiffness

Suggested Citation

Pei, Weiwei and Chen, Jiayao and Wang, Chao and Qiu, Suhao and Zeng, Jianfeng and Gao, Mingyuan and Zhou, Bin and Li, Dan and Sacks, Michael S. and Han, Lin and Shan, Hong and Hu, Wentao and Zhou, Guangming and Feng, Yuan, Regional Biomechanical Imaging of Liver Cancer Cells (October 30, 2018). Available at SSRN: https://ssrn.com/abstract=3275463

Weiwei Pei (Contact Author)

Soochow University - Collaborative Innovation Center of Radiation Medicine of Jiangsu Higher Education Institutions

No. 1 Shizi Street
Taipei, Jiangsu 215006
Taiwan

Jiayao Chen

Soochow University - Center for Molecular Imaging and Nuclear Medicine

No. 1 Shizi Street
Taipei, Jiangsu 215006
Taiwan

Chao Wang

Drexel University - School of Biomedical Engineering

3141 Chestnut St
Philadelphia, PA 19104
United States

Suhao Qiu

Shanghai Jiao Tong University (SJTU) - Institute for Medical Imaging Technology

Shanghai 200030, Shanghai 200052
China

Jianfeng Zeng

Soochow University - Center for Molecular Imaging and Nuclear Medicine

No. 1 Shizi Street
Taipei, Jiangsu 215006
Taiwan

Mingyuan Gao

Soochow University - Center for Molecular Imaging and Nuclear Medicine

No. 1 Shizi Street
Taipei, Jiangsu 215006
Taiwan

Bin Zhou

Sun Yat-Sen University (SYSU) - Guangdong Provincial Engineering Research Center of Molecular Imaging

China

Dan Li

Sun Yat-Sen University (SYSU) - Guangdong Provincial Engineering Research Center of Molecular Imaging

China

Michael S. Sacks

University of Texas at Austin - James T. Willerson Center for Cardiovascular Modeling and Simulation ( email )

240 East 24th Street
Austin, TX 78731
United States

Lin Han

Drexel University - School of Biomedical Engineering

3141 Chestnut St
Philadelphia, PA 19104
United States

Hong Shan

Sun Yat-Sen University (SYSU) - Guangdong Provincial Engineering Research Center of Molecular Imaging ( email )

China

Wentao Hu

Soochow University - Collaborative Innovation Center of Radiation Medicine of Jiangsu Higher Education Institutions

No. 1 Shizi Street
Taipei, Jiangsu 215006
Taiwan

Guangming Zhou

Soochow University - Collaborative Innovation Center of Radiation Medicine of Jiangsu Higher Education Institutions

No. 1 Shizi Street
Taipei, Jiangsu 215006
Taiwan

Yuan Feng

University of Texas at Austin - Willerson Center for Cardiovascular Modeling and Simulation ( email )

2317 Speedway, Stop D9500
Austin, TX 78712
United States

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