Prevalidation study of the BALB/c 3T3 cell transformation assay for assessment of carcinogenic potential of chemicals

2012 ◽  
Vol 744 (1) ◽  
pp. 20-29 ◽  
Author(s):  
Noriho Tanaka ◽  
Susanne Bohnenberger ◽  
Thorsten Kunkelmann ◽  
Barbara Munaro ◽  
Jessica Ponti ◽  
...  
Keyword(s):  
Cell Transformation ◽  
Transformation Assay ◽  
Carcinogenic Potential

An Optimised Data Analysis for the Balb/c3T3 Cell Transformation Assay and its Application to Metal Compounds

2007 ◽  
Vol 20 (4) ◽  
pp. 673-684 ◽  
Author(s):  
J. Ponti ◽  
B. Munaro ◽  
M. Fischbach ◽  
S. Hoffmann ◽  
E. Sabbioni
Keyword(s):  
Data Analysis ◽  
Cell Transformation ◽  
T Test ◽  
Alternative Methods ◽  
Metal Compounds ◽  
Exact Test ◽  
Fisher's Exact Test ◽  
Transformation Assay ◽  
Carcinogenic Potential ◽  
Fisher’S Exact Test

The Balb/c3T3 cell transformation assay (CTA) is an available in vitro system to detect the carcinogenic potential of chemicals. Currently, the European Centre for the Validation of Alternative Methods (ECVAM) is validating this test, assessing its reliability and relevance. Its endpoint is the formation of type III foci, which is, when using clone A31-1-1, a very rare event that usually does not occur at all for negative controls. The carcinogenic potential of a compound tested is assessed by comparing the number of foci in treated and untreated cells. The objective of the present work is to optimise the data analysis for this endpoint by applying the most commonly used approach by a t-test and the Fisher's exact test as an alternative approach. For this purpose selected metal compounds classified as carcinogenic (NaAsO2, CdCl2 cisPt), as suspected carcinogenic (C6H5)4AsCl, CH3HgCl), or as compounds without evidence of carcinogenic properties in humans ((NH4)2PtCl6, NaVO3) as well as a non-carcinogenic (AgNO3) were analysed. Our evaluation revealed that the t-test approach, which assumes normality of data, is not appropriate. The results demonstrated that the statistical analysis by Fisher's exact test better reflects the data properties and greatly facilitates the interpretation of Balb/c3T3 CTA data regarding carcinogenic potential.

BALB/c 3T3 cell transformation assay for the prediction of carcinogenic potential of chemicals and environmental mixtures

2010 ◽  
Vol 24 (4) ◽  
pp. 1292-1300 ◽  
Author(s):  
Maria Grazia Mascolo ◽  
Stefania Perdichizzi ◽  
Francesca Rotondo ◽  
Elena Morandi ◽  
Angela Guerrini ◽  
...  
Keyword(s):  
Cell Transformation ◽  
Transformation Assay ◽  
Carcinogenic Potential ◽  
Environmental Mixtures

scholarly journals Deep neural network for the determination of transformed foci in Bhas 42 cell transformation assay

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Minami Masumoto ◽  
Ittetsu Fukuda ◽  
Suguru Furihata ◽  
Takahiro Arai ◽  
Tatsuto Kageyama ◽  
...  
Keyword(s):  
Neural Network ◽  
Deep Neural Network ◽  
Cell Transformation ◽  
Area Under The Curve ◽  
Guidance Document ◽  
Transformation Assay ◽  
Tumor Promotor ◽  
Carcinogenic Potential ◽  
Morphological Criteria

AbstractBhas 42 cell transformation assay (CTA) has been used to estimate the carcinogenic potential of chemicals by exposing Bhas 42 cells to carcinogenic stimuli to form colonies, referred to as transformed foci, on the confluent monolayer. Transformed foci are classified and quantified by trained experts using morphological criteria. Although the assay has been certified by international validation studies and issued as a guidance document by OECD, this classification process is laborious, time consuming, and subjective. We propose using deep neural network to classify foci more rapidly and objectively. To obtain datasets, Bhas 42 CTA was conducted with a potent tumor promotor, 12-O-tetradecanoylphorbol-13-acetate, and focus images were classified by experts (1405 images in total). The labeled focus images were augmented with random image processing and used to train a convolutional neural network (CNN). The trained CNN exhibited an area under the curve score of 0.95 on a test dataset significantly outperforming conventional classifiers by beginners of focus judgment. The generalization performance of unknown chemicals was assessed by applying CNN to other tumor promotors exhibiting an area under the curve score of 0.87. The CNN-based approach could support the assay for carcinogenicity as a fundamental tool in focus scoring.

scholarly journals Application of human cell transformation assay on assessment of carcinogenic potential of river organic pollutants

2015 ◽  
Vol 4 (1) ◽  
pp. 92-98 ◽  
Author(s):  
Xiumei Xing ◽  
Xiaowen Zeng ◽  
Daochuan Li ◽  
Liping Chen ◽  
Xiaonian Zhu ◽  
...  
Keyword(s):  
Organic Pollutants ◽  
Human Cell ◽  
Cell Transformation ◽  
Water Pollutants ◽  
Transformation Assay ◽  
Carcinogenic Potential ◽  
Organic Extracts

A human cell transformation assay was used to evaluate the carcinogenic potential of organic extracts of water pollutants collected from the Jialu River.

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