Simple and automatic monitoring of cancer cell invasion into an epithelial monolayer using label-free holographic microscopy

• Published in: Scientific reports Vol. 12; no. 1; p. 10111
• Main Authors: Nagy, Ágoston G., Székács, Inna, Bonyár, Attila, Horvath, Robert
• Format: Journal Article
• Language: English
• Published: London Nature Publishing Group UK 16.06.2022; Nature Publishing Group; Nature Portfolio
• Subjects: 631/1647; 631/57; 631/57/343; 631/67; 631/80; 639/624; 692/4028; Cancer; Cell migration; Cell size; Gelatin; HeLa cells; Humanities and Social Sciences; Invasiveness; Microscopy; multidisciplinary; Science; Science (multidisciplinary); Survival; Tumors
• ISSN: 2045-2322; 2045-2322
• DOI: 10.1038/s41598-022-14034-y

The invasiveness of cancer cells describes the metastasizing capability of a primary tumor. The straightforward detection and quantification of cancer cell invasion are important to predict the survival rate of a cancer patient and to test how anti-cancer compounds influence cancer progression. Digital holographic microscopy based M4 Holomonitor (HM) is a technique that allows the label-free monitoring of cell morphological and kinetical parameters in real-time. Here, a fully confluent epithelial monolayer derived from the African green monkey kidney (Vero) on a gelatin-coated surface was established, then HeLa cells were seeded on top of the monolayer, and their behavior was monitored for 24 h using HM. Several cancer cells showing invasiveness were detected during this period, while other HeLa cells did not show any signs of aggressivity. It was demonstrated that the invasion of single cancer cells is soundly observable and also quantifiable through monitoring parameters such as phase shift, optical volume, area, and motility, which parameters can easily be obtained and processed automatically. Based on the experimental data, the invasion speed of cancer cells entering the epithelial layer can be defined as the shrinking of detected single-cell volume per unit time. The invasion speed and its correlation with cell migration parameters were analyzed in depth. A clear linear relationship between migration and invasion speed was found, cancer cells with stronger migration have slower invasion speed. These results not only describe the effect of how cancer cells invade the underlying monolayer in contrast to non-invasive HeLa cells, but could help in future research to optimize drugs affecting cell invasibility in a fully automated, label-free and high-throughput manner.