使用TEM成像评估癌症治疗中抗癌药物有效性的癌细胞中的纳米级结构改变
Nanoscale structural alterations in cancer cells to assess anti-cancerous drug effectiveness in cancer treatment using TEM imaging
摘要：
了解纳米结构变化可以提供细胞/组织的物理状态。现在已经表明，在大多数癌症病例中，纳米级结构改变的增加与癌变的进展相关，包括早期癌变。抗癌疗法旨在抑制癌细胞的生长;然而，在治疗的早期阶段检测此类药物的疗效具有挑战性。评估抗癌药物对癌细胞/组织的影响的一种独特方法是探测纳米级结构改变。在本文中，我们研究了不同的抗癌药物对卵巢致瘤细胞的影响，使用它们的纳米结构改变作为生物标志物。在薄细胞切片上进行透射电子显微镜（TEM）成像以获得它们的纳米级结构。肿瘤发生细胞和抗癌药物处理的肿瘤发生细胞的纳米级结构改变的程度通过使用最近开发的逆参与比（IPR）技术进行定量。结果显示，相对于非致瘤细胞，致瘤细胞的纳米级波动程度增加;然后，在抗癌药物治疗后，致瘤细胞的波动程度与非致瘤细胞的波动程度几乎相反。这些结果支持抗癌药物在癌症治疗中的效果可以通过TEM成像使用细胞的纳米级波动程度来量化。还讨论了该技术在癌症治疗中的潜在应用。
英文摘要：
Understanding the nanoscale structural changes can provide the physical state of cells/tissues. It has been now shown that increases in nanoscale structural alterations are associated with the progress of carcinogenesis in most of the cancer cases, including early carcinogenesis. Anti-cancerous therapies are intended for the growth inhibition of cancer cells; however, it is challenging to detect the efficacy of such drugs in early stages of treatment. A unique method to assess the impact of anti-cancerous drugs on cancerous cells/tissues is to probe the nanoscale structural alterations. In this paper, we study the effect of different anti-cancerous drugs on ovarian tumorigenic cells, using their nanoscale structural alterations as a biomarker. Transmission electron microscopy (TEM) imaging on thin cell sections is performed to obtain their nanoscale structures. The degree of nanoscale structural alterations of tumorigenic cells and anti-cancerous drug treated tumorigenic cells are quantified by using the recently developed inverse participation ratio (IPR) technique. Results show an increase in the degree of nanoscale fluctuations in tumorigenic cells relative to non-tumorigenic cells; then a nearly reverse of the degree of fluctuation of tumorigenic cells to that of non-tumorigenic cells, after the anti-cancerous drugs treatment. These results support that the effect of anti-cancerous drugs in cancer treatment can be quantified by using the degree of nanoscale fluctuations of the cells via TEM imaging. Potential applications of the technique for cancer treatment are also discussed.
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