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Surface morphology of breast cancer cells combined with HER-2 by AFM |
YAO Wenlian and XU Xin |
Department of Pathology,General Hospital of Chinese People’s Armed Police Force, Beijing 100039 China |
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Abstract Objective To observe the morphological changes in the surface of breast cancer cell’s membrane with different expressions of human epidermal growth factor receptor-2 under the atomic force microscope(AFM)in order to provide a new method for improving the sensitivity and accuracy of HER-2 detection in breast cancer and stimulate new ideas for early diagnosis of tumor at the sub-cellular level.Methods Beast cancer cells of different histological types were divided into two groups based on their expression levels of human epidermal growth factor receptor-2: the positive group and negative group. The surface morphology of cells’ membrane was observed with atomic force microscopy respectively. Such characteristic morphological parameters as average roughness,mean peak-height,average maximum depth and surface area difference of these cells were quantitatively measured ,and the Results were statistically analyzed.Results There was significant difference between the two groups in cellular morphology. The surface of positive cell membrane of human epidermal growth factor receptor-2(HER-2) was rough and uneven, and the tuberositas was high and thin, but the tuberositas was heavy and wide in the HER-2 negative group.There were more tuberosities in the positive group than in the negative group in each count area.The difference in morphological characteristics between the two groups was obvious in the average roughness[(21.87±2.46)/(32.65±1.03),P<0.000],mean peak-height[(13.94±1.01)/(31.15±3.89),P<0.001], average maximum depth[(11.09±6.36)/(33.58±3.15),P<0.001]and surface area[(6.27±2.03)/(19.65±1.13),P<0.001].Conclusions The surface structure of cell membrane varies with different functional states, which may give us an insight into the mechanism, development and early diagnosis of cancer. It could also provide a new method for the diagnosis of the positive rate of HER-2.
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Received: 11 December 2016
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