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Invading ovarian cancer cells interact with a variety of cell types at the surface of the peritoneum, including fibroblasts, adipocytes, and mesothelial cells, and bidirectional communication between the cancer cells and peritoneal cells is thought to play key roles in driving the metastatic process2. Once mastered, the protocol described herein is readily adaptable to the study of these interactions within the peritoneal microenvironment, e.g., through the addition of exogenous cytokines, growth factors, or specific inhibitors to the upper or lower chambers of the CIM plate well or genetic manipulation of the cancer or peritoneal cell lines. Furthermore, this method can be used with primary ovarian tumor cells harvested freshly from malignant ascites and/or primary peritoneal cells to gain direct insights into the regulatory signals and cellular interactions which govern the establishment of a metastatic lesion within the peritoneal cavity2.
Use of the RTCA instrument to measure the invasive capacity of single cells or spheroids offers several advantages over conventional single endpoint assays and time-lapse image analyses. The RTCA instrument measures cellular invasion at defined intervals continuously over the course of an assay, which can be hours or days. This enables the determination of changes in the rate of invasion over time, which overcomes the limitations of single endpoint assays. For example, examining the invasion data from the different cancer cell lines at a single endpoint (Figure 2), e.g., 3 hr, might have led to the erroneous conclusion that KGN and OVCA433 cells were far more invasive than OVCA429 cells. Another advantage of this technology is that the RTCA instrument measures changes in electrical impedance. This means that assays can be run without labeling cells with an exogenous agent, which could have unintended effects on cell phenotype or function. This becomes particularly important when studying primary ovarian cancer cells derived from malignant ascites, with which it is imperative to keep manipulations to a minimum so as to avoid introducing molecular and phenotypic changes which are not reflective of their in vivo nature2. Furthermore, use of the RTCA instrument enables the collection of quantitative data in real time, which not only avoids the time consuming analyses associated with time-lapse microscopy but also enables the rapid determination of key experimental windows for assay optimization. This is particularly useful when comparing the effects of a range of factors on spheroid invasion, as different factors may exert their maximal effects at different timepoints or with greatly different profiles over time.
Although this protocol is amenable to alterations (e.g., use of different ECM matrix, different cancer cell lines, or different target cells), if doing so, it is important to note that various experimental conditions must first be optimized. For example, prior to commencing studies of spheroid invasion, the optimal number of cancer cells/CIM plate well should firstly be determined by assay of cell number titrations in monolayer culture. The optimal number of spheroids to use per well is then based on this analysis. For example, in the current method, spheroids comprise approximately 3,000 cells each when first generated. If initial cell number titrations indicate that 30,000 cells in monolayer are optimal for detection in invasion analyses, then 10 spheroids are added per CIM plate well. Furthermore, when conducting co-culture experiments, it is important to study the behaviors of the ‘target’ cell monolayer separately in order to determine whether these cells are inherently invasive, as this could confound the results. In the example demonstrated, cancer spheroids are plated on top of an LP9 cell monolayer, with and without FBS added to the bottom well as a chemoattractant. In parallel, LP9 cells are cultured alone, under each treatment condition.
Similarly, when studying the invasive capacity of cells and spheroids, it is also important to examine their migratory capacities as well in order to distinguish the two behaviors (i.e. invasion requires the proteolytic digestion of an ECM barrier while migration does not). To do this, omit the ECM barrier (Steps 3.1.1 - 3.1.3) and conduct the assay in parallel with the ECM barrier in place. The latter ‘invasion’ measure can be corrected to the former ‘migration’ measure, if desired. Finally, it is important to note that the information gained from measures of electrical impedance is limited in scope: once cells have invaded into the bottom chamber, changes in their attachment, spreading, and proliferation on the underside of the membrane may contribute to changes in impedance readings. Therefore, this methodology is most informative when used in conjunction with other assays of spheroid cell viability, adhesion, migration, and morphology in order to comprehensively assess spheroid cell behaviors. For example, ideally, in order to fully understand spheroid-mesothelial interactions, separate co-cultures should also be imaged periodically under standard phase microscopy so that qualitative assessments of spheroid morphology and health can be made in parallel with quantitative RTCA assays of invasion. If the optional labeling step is performed, then the behaviors of single cancer cells can be determined under fluorescent microscopy as they disaggregate from the spheroid and interact with the unlabeled mesothelial cells. An added benefit of fluorescently labeling the cancer cells when co-culturing with a second cell type is that it is then possible to confirm that only the cancer cells have invaded through the cell and ECM barriers.
In summary, this method represents a high throughput quantitative analysis of ovarian cancer spheroid invasion of mesothelial and ECM barriers. Through the addition of exogenous cytokines, growth factors, or specific inhibitors to the upper or lower chambers of the CIM plate well, this method enables a rapid, determination of factors which regulate the interactions between ovarian cancer spheroid cells invading through mesothelial and matrix barriers over time.