| Literature DB >> 21852270 |
Stuart Creton1, Marilyn J Aardema, Paul L Carmichael, James S Harvey, Francis L Martin, Robert F Newbold, Michael R O'Donovan, Kamala Pant, Albrecht Poth, Ayako Sakai, Kiyoshi Sasaki, Andrew D Scott, Leonard M Schechtman, Rhine R Shen, Noriho Tanaka, Hemad Yasaei.
Abstract
Cell transformation assays (CTAs) have long been proposed as in vitro methods for the identification of potential chemical carcinogens. Despite showing good correlation with rodent bioassay data, concerns over the subjective nature of using morphological criteria for identifying transformed cells and a lack of understanding of the mechanistic basis of the assays has limited their acceptance for regulatory purposes. However, recent drivers to find alternative carcinogenicity assessment methodologies, such as the Seventh Amendment to the EU Cosmetics Directive, have fuelled renewed interest in CTAs. Research is currently ongoing to improve the objectivity of the assays, reveal the underlying molecular changes leading to transformation and explore the use of novel cell types. The UK NC3Rs held an international workshop in November 2010 to review the current state of the art in this field and provide directions for future research. This paper outlines the key points highlighted at this meeting.Entities:
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Year: 2011 PMID: 21852270 PMCID: PMC3241940 DOI: 10.1093/mutage/ger053
Source DB: PubMed Journal: Mutagenesis ISSN: 0267-8357 Impact factor: 3.000
Performance characteristics of the SHE, BALB/c 3T3 and C3H10T1/2 assays calculated for OECD DRP (8)
| SHE pH 6.7 | SHE pH 7.0 | BALB/c 3T3 | C3H10T1/2 | |
| Concordance | 74 | 85 | 68 | 84 |
| Sensitivity (%) | 66 | 92 | 75 | 72 |
| Specificity (%) | 85 | 66 | 53 | 80 |
| Positive predictivity | 88 | 88 | 77 | 95 |
| Negative predictivity | 62 | 75 | 50 | 34 |
| False-positive rate | 15 | 34 | 47 | 20 |
| False-negative rate | 33 | 08 | 25 | 28 |
| Number of chemicals | 88 | 204 | 149 | 96 |
| Number of carcinogens (%) | 54 (61) | 142 (74) | 100 (68) | 81 (84) |
Concordance = agreement between rodent carcinogenicity and CTA results.
Fig. 1Application of IR spectroscopy to objectively segregate SHE cells on the basis of test-compound treatment and mechanism. (A) SHE cells are grown so that they attach in culture to IR-reflective glass slides (1 × 1 inch) (34). Per test-compound treatment, a tray of such slides, is prepared to account for colony numbers and transformation rate associated with the assay. Post-treatment colonies are fixed on the slides and coded. (B) Average IR spectra (a profile of wavenumber-absorbance intensities giving rise to a ‘biochemical-cell fingerprint’) associated with eight particular treatments (A–H; one being a vehicle control and the seven others being test compounds). (C) Multiple IR spectra are derived from identified unstained SHE colonies; this gives rise to a complex dataset. To discriminate between different treatment groups, computational algorithms that allow for data reduction are required. In this case, linear discriminant analysis facilitates the reduction of each derived IR spectrum into a single point in a scores plot; points close to each other are similar, while increasing distance from each other implies dissimilarity. Each symbol colour represents a particular treatment category. (D) To identify a mechanistic basis for category segregation, a cluster vector identifies the wavenumbers responsible for segregating one particular category (i.e. test compound treatment group) from the vehicle control; importance of discriminating wavenumbers is proportional to the intensity of their individual weighting in the cluster vector plot (superimposed on an IR spectrum in this example).
Fig. 2Senescence barriers to immortalisation and malignant transformation in human and rodent cells. There are two major types of cellular senescence in mammalian cells: culture/stress-induced senescence (also known as OSIS) and replicative senescence. OSIS is induced by oncogenes or other cellular stressors, such as DNA damage or culture conditions, and is regarded as a primary tumour suppression barrier in rodent and human cells. Loss of p16/Rb function is required in order to overcome OSIS in human cells (52); loss of p16/Rb/ARF/p53 function overcomes OSIS in rodent cells (44,45). Replicative senescence results from shortening of telomere length, leading to telomere dysfunction and genomic instability and triggering a DNA damage response that promotes cell cycle arrest and replicative senescence. Telomere length is greater in rodent cells than human cells, and rodent cells also have more robust telomerase expression, whereas telomerase activation is required for immortalisation of human cells. It is suggested that these differences in telomerase biology contribute to the greater resistance to immortalisation and transformation in human cells compared with rodent cells: immortalisation of human cells requires bypass of two senescence barriers (53) whereas only one barrier must be overcome in rodent cells. PD, population doubling; shRNA, small hairpin RNA.