Differentiation between single bladder cancer cells using principal component analysis of time-of-flight secondary ion mass spectrometry.

Time-of-flight-secondary ion mass spectrometry (TOF-SIMS) mass spectra measurements combined with an appropriate sample preparation protocol are the powerful tools to obtain unique information about the chemical composition of biological materials. In our studies, two questions were addressed, i.e., whether it is possible to develop a fixative-based sample preparation protocol and whether it allows one to distinguish between cells originating from various stages of cancer progression. Therefore, four human bladder cancer cell lines (with distinct malignancy degree) have been investigated. A chemical fixation protocol has been used for TOF-SIMS measurements, and mass spectra were obtained using a Bi3(+) primary ion beam. The principal component analysis (PCA) has been applied to analyze the whole range of mass spectra (without preselection of any particular masses) using two approaches of data preprocessing, namely, mean centering and autoscaling. The PC3 versus PC2 plot has showed significant differences between nonmalignant cancer cells and the cancerous ones for both of preprocessing approaches. The analysis of mass spectra of human bladder cells allows one to find a list of mass peaks with intensities significantly larger in cancerous bladder cells compared to nonmalignant cell cancer of the ureter (HCV29 cells). These findings show that TOF-SIMS in combination with PCA can be used to identify reference, human bladder cells from cancerous ones.

Nano-characterization of two closely related melanoma cell lines with different metastatic potential.

Cutaneous malignant melanoma is one of the most lethal types of skin cancer. Its progression passes through several steps, leading to the appearance of a new population of cells with aggressive biological potential. Here, we focused on the nano-characterization of two different melanoma cell lines with similar morphological appearance but different metastatic potential, namely, WM115 from vertical growth phase (VGP) and WM266-4 derived from metastasis to skin. The first cell line represents cells that progressed to the VGP, while the WM266-4 cell line denotes cells from the metastasis to skin. Exploring with a combination of atomic force and fluorescence microscopes, our goal was to identify cell surface characteristics in both cell lines that may determine differences in the cellular nano-mechanical properties. Cell elasticity was found to be affected by the presence of F-actin-based flexible ridges, rich in F-actin co-localized with ß1 integrins in the studied cell lines. These results point out how progressive changes in the surface structure of melanoma cells can affect their bionanomechanical properties.

Cancer cell recognition--mechanical phenotype.

The major characteristics of cancer metastasis is the ability of the primary tumor cells to migrate by way of the blood or lymph vessels and to form tumors at multiple, distant sites. There are evidences that cancer progression is characterized by disruption and/or reorganization of cytoskeleton (i.e. cellular scaffold). This is accompanied by various molecular alterations influencing the overall mechanical resistance of cells. Current approach in diagnosis focuses mainly on microbiological, immunological, and pathological aspects rather than on the biomechanics of diseases. The determination of mechanical properties of an individual living cell has became possible with the development of local measurement techniques, such as atomic force microscopy, magnetic or optical tweezers. The advantage of them lies in the capability to measure living cells at a single cell level and in liquid conditions, close to natural environment. Here, we present the studies on mechanical properties of single cells originating from various cancers. The results show that, independently of the cancer type (bladder, melanoma, prostate, breast and colon), single cells are characterized by the lower Young's modulus, denoting higher deformability of cancerous cells. However, the obtained Young's modulus values were dependent on various factors, like the properties of substrates used for cell growth, force loading rate, or indentation depth. Their influence on elastic properties of cells was considered. Based on these findings, the identification of cancerous cells based on their elastic properties was performed. These results proved the AFM capability in recognition of a single, mechanically altered cell, also in cases when morphological changes are not visible. The quantitative analysis of cell deformability carried out using normal (reference) and cancerous cells and, more precisely, their characterization (qualitative and quantitative) can have a significant impact on the development of methodological approaches toward precise identification of pathological cells and would allow for more effective detection of cancer-related changes.

Cancer cell detection in tissue sections using AFM.

Currently, cancer diagnosis relies mostly on morphological examination of exfoliated, aspirated cells or surgically removed tissue. As long as standard diagnosis is concerned, this classical approach seems to be satisfactory. In the recent years, cancer progression has been shown to be accompanied by alterations in mechanical properties of cells. This offers the detection of otherwise unnoticed cancer cell disregarded by histological analysis due to insignificant manifestations. One of techniques, sensitive to changes in mechanical properties, is the atomic force microscopy, which detects cancer cells through their elastic properties. Such measurements were applied to tissue sections collected from patients suffering from various cancers. Despite of heterogeneity and complexity of cancer cell sections, the use of the Young's modulus as an indicator of cell elasticity allow for detection of cancer cells in tissue slices.