InSphero Publishes 3D Tumor-Stroma Model for Non-Small Cell Lung Cancer
News Apr 24, 2014
InSphero AG, working with researchers at the Medical University Innsbruck, has published a study highlighting development of a novel 3D cell culture model for non-small cell lung cancer (NSCLC), one of the leading causes of cancer deaths in men and women worldwide. The findings, published March 24 in PLOS One, used InSphero's Grav1tyPLUSTM hanging drop platform to form 3D tumor spheroid co-cultures comprised of a NSCLC tumor cell line and lung-derived fibroblasts. The results showed how both lung cancer cells and stromal cells (lung fibroblasts) behave differently when grown together in 3D than when grown alone.
The study was initiated in response to the recent failure of several targeted therapies for NSCLC in clinical trials, therapies which were supported by promising in vitro data. To achieve a better in vitro model, researchers used the NSCLC cell lines A549 or Colo699 to create 3D tumors in hanging drops, with or without the lung fibroblast cell line SV80. The tumors were then analyzed for viability, morpology, and expression of different phenotypic markers using immunohistochemistry (IHC) and other methods. Most notable were changes in the tumor cells during co-culture that indicated an epithelial to mesenchymal transition (EMT), as evidenced by an increase in vimentin protein expression, and a decrease in the epithelial cell adhesion protein E-cadherin. Also of interest was the expression of alpha smooth muscle actin (a-SMA), a marker of cancer-associated fibroblasts, in the SV80 fibroblasts only when co-cultured with A549 cells.
Dr. Jens Kelm, Chief Scientific Officer and co-founder of InSphero AG was co-author on the manuscript He states the 3D co-culture model should improve drug efficacy testing by removing some of the bias inherent in current 2D in vitro models used to screen anti-cancer drugs. "What this 3D lung cancer co-culture model confirmed for us is that tumor cells are phenotypically different in terms of their viability, activity, and morphology when they grow in the presence of fibroblasts. Likewise, the stromal cells associated with tumors also behave differently in co-culture than they do alone, becoming more like myofibroblasts, cells that are known to assist tumor growth, invasion, and metastasis. This model creates an even more native in vitro tumor environment to more easily assess tumor growth, pathobiology, and drug efficacy."
Using Insphero's automation-compatible, high-throughput platform, the authors plan to conduct advanced screens for improved anti-cancer drugs and to indentify novel NSCLC biomarkers.
An artificial intelligence (AI) approach based on deep learning convolutional neural network (CNN) could identify nuanced mammographic imaging features specific for recalled but benign (false-positive) mammograms and distinguish such mammograms from those identified as malignant or negative.
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