The use of dubious cell lines in research: is trust enough?

Cell Line Authentication in Vision Research and Beyond: A Tale Retold

We live in an age where new technologies, and organizations involved in the distribution of biological materials, such as cell culture lines, have eased accessibility to a variety of in vitro models, developed, and/or harvested from different sources. In translational and basic ophthalmology research, in vitro assays are an essential component to discovery and preclinical studies. It is, therefore, of utmost importance for vision researchers to be cognizant of the risks surrounding the use of newly developed cell culture models and how scientific integrity could be impacted when standard operating procedures are not followed for cell line validation and identification. Herein, we discuss authentication challenges we faced when we obtained a newly marketed human choroidal endothelial cell line for vision research, and outline our process of validating and characterizing primary human choroidal endothelial cell lines in the laboratory.

Functional characterization of osteosarcoma cell lines provides representative models to study the human disease

Cancer cell lines represent in vitro models for studying malignancies, general cell biology, drug discovery and more. Whether they can be considered as exact representative models of the parental tumors remains uncertain given the acquisition of additional ex vivo changes of the cells and the lack of tissue architecture and stroma. Previously, within the EuroBoNeT consortium, we characterized a collection of bone sarcoma cell lines on genomic and proteomic level. Here, we address the phenotypical and functional characterization of the unique set of osteosarcoma cell lines (n=19) in vitro and in vivo. For functional analysis of differentiation capacity, cells were stimulated towards osteoblasts, adipocytes and chondrocytes. Furthermore, all cell lines were injected subcutaneously and intramuscularly into nude mice to assay their in vivo tumor formation capacity as well as for phenotypical analysis of the tumors. All formed tumors were further characterized histologically and immunohistochemically. Out of 19 cell lines, 17 (89%) showed adipogenic differentiation, 13/19 (68%) could differentiate towards osteoblasts and in 6/19 (32%) cell lines chondrogenic differentiation was evident. About half of the cell lines (8/19, 42%) produced tumors in vivo after subcutaneous and intramuscular injections. Several cell lines showed invasion into adjacent tissues and one tumor developed several lung metastases. The use of cell lines, especially in cancer research, is of paramount importance. Here, we identify comprehensively characterized osteosarcoma cell lines, which robustly represent clinical osteosarcoma providing researchers useful in vitro and in vivo models to study the genetics and functional characteristics of this highly malignant neoplasm.

Models for prevention and treatment of cancer: problems vs promises

Current estimates from the American Cancer Society and from the International Union Against Cancer indicate that 12 million cases of cancer were diagnosed last year, with 7 million deaths worldwide; these numbers are expected to double by 2030 (27 million cases with 17 million deaths). Despite tremendous technological developments in all areas, and President Richard Nixon's initiative in the 1974 "War against Cancer", the US cancer incidence is the highest in the world and the cancer death rate has not significantly changed in the last 50 years (193.9 per 100,000 in 1950 vs 193.4 per 100,000 in 2002). Extensive research during the same time, however, has revealed that cancer is a preventable disease that requires major changes in life style; with one third of all cancers assigned to Tobacco, one third to diet, and remaining one third to the environment. Approximately 20 billion dollars are spent annually to find a cure for cancer. We propose that our inability to find a cure to cancer lies in the models used. Whether cell culture or animal studies, no model has yet been found that can reproduce the pathogenesis of the disease in the laboratory. Mono-targeted therapies, till know in most cases, have done a little to make a difference in cancer treatment. Similarly, molecular signatures/predictors of the diagnosis of the disease and response are also lacking. This review discusses the pros and cons of current cancer models based on cancer genetics, cell culture, animal models, cancer biomarkers/signature, cancer stem cells, cancer cell signaling, targeted therapies, therapeutic targets, clinical trials, cancer prevention, personalized medicine, and off-label uses to find a cure for cancer and demonstrates an urgent need for "out of the box" approaches.

Persistent use of "false" cell lines

From HeLa and its multiple identities, to MDA-MB-435, erroneously and widely used as breast cancer cells, the history of cancer cell lines is rich in misidentification and cross-contamination events. Despite the fact that these problems were regularly signaled during the last decades, many actors of research still seem to ignore them. A never-ending story? Solutions exist, notably based on recent technical advances in cell line authentication (short tandem repeat analysis). However, a collaborative action involving users of cell lines, cell banks, journals and funding agencies is needed to achieve success.

Assessment of tumor characteristic gene expression in cell lines using a tissue similarity index (TSI)

The gene expression profiles of 60 cell lines, derived from nine different tissues, were compared with their corresponding in vivo tumors and tissues. Cell lines expressed few tissue-specific (2%) or tumor-specific (5%) genes when analyzed group-wise. A tissue similarity index (TSI) was designed based upon singular value decomposition that measured in vivo tumor characteristic gene expression in each cell line independently. Only 34 of the 60 cell lines received the highest TSI toward its tumor of origin. In addition, we identified the most appropriate cell lines to be used as model systems for different in vivo tumors. Seven cell lines were identified as being of another origin than the originally presumed one. The proposed TSI will likely become an important tool for the selection of the most appropriate cell lines in pharmaceutical screening programs and experimental and biomedical research.