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Items: 1 to 20 of 143

1.

Assessing compound carcinogenicity in vitro using connectivity mapping.

Caiment F, Tsamou M, Jennen D, Kleinjans J.

Carcinogenesis. 2014 Jan;35(1):201-7. doi: 10.1093/carcin/bgt278. Epub 2013 Aug 12.

PMID:
23940306
2.

Benzo[a]pyrene-induced transcriptomic responses in primary hepatocytes and in vivo liver: toxicokinetics is essential for in vivo-in vitro comparisons.

van Kesteren PC, Zwart PE, Schaap MM, Pronk TE, van Herwijnen MH, Kleinjans JC, Bokkers BG, Godschalk RW, Zeilmaker MJ, van Steeg H, Luijten M.

Arch Toxicol. 2013 Mar;87(3):505-15. doi: 10.1007/s00204-012-0949-5. Epub 2012 Oct 2.

PMID:
23052197
3.

Evaluation of toxicogenomics approaches for assessing the risk of nongenotoxic carcinogenicity in rat liver.

Eichner J, Wrzodek C, Römer M, Ellinger-Ziegelbauer H, Zell A.

PLoS One. 2014 May 14;9(5):e97678. doi: 10.1371/journal.pone.0097678. eCollection 2014.

4.

Comparison of hepatocarcinogen-induced gene expression profiles in conventional primary rat hepatocytes with in vivo rat liver.

Doktorova TY, Ellinger-Ziegelbauer H, Vinken M, Vanhaecke T, van Delft J, Kleinjans J, Ahr HJ, Rogiers V.

Arch Toxicol. 2012 Sep;86(9):1399-411. doi: 10.1007/s00204-012-0847-x. Epub 2012 Apr 8.

PMID:
22484513
5.

Toxicogenomics and cancer risk assessment: a framework for key event analysis and dose-response assessment for nongenotoxic carcinogens.

Bercu JP, Jolly RA, Flagella KM, Baker TK, Romero P, Stevens JL.

Regul Toxicol Pharmacol. 2010 Dec;58(3):369-81. doi: 10.1016/j.yrtph.2010.08.002. Epub 2010 Aug 27.

PMID:
20801182
6.

A toxicogenomic approach for the prediction of murine hepatocarcinogenesis using ensemble feature selection.

Eichner J, Kossler N, Wrzodek C, Kalkuhl A, Bach Toft D, Ostenfeldt N, Richard V, Zell A.

PLoS One. 2013 Sep 10;8(9):e73938. doi: 10.1371/journal.pone.0073938. eCollection 2013.

7.

Characterizing and predicting carcinogenicity and mode of action using conventional and toxicogenomics methods.

Waters MD, Jackson M, Lea I.

Mutat Res. 2010 Dec;705(3):184-200. doi: 10.1016/j.mrrev.2010.04.005. Epub 2010 Apr 24. Review.

PMID:
20399889
8.

Prediction of carcinogenic potential by a toxicogenomic approach using rat hepatoma cells.

Tsujimura K, Asamoto M, Suzuki S, Hokaiwado N, Ogawa K, Shirai T.

Cancer Sci. 2006 Oct;97(10):1002-10. Epub 2006 Aug 17.

9.

Toxicogenomics applied to in vitro carcinogenicity testing with Balb/c 3T3 cells revealed a gene signature predictive of chemical carcinogens.

Rohrbeck A, Salinas G, Maaser K, Linge J, Salovaara S, Corvi R, Borlak J.

Toxicol Sci. 2010 Nov;118(1):31-41. doi: 10.1093/toxsci/kfq246. Epub 2010 Aug 16.

PMID:
20713471
10.

Using microRNA profiles to predict and evaluate hepatic carcinogenic potential.

Gooderham NJ, Koufaris C.

Toxicol Lett. 2014 Jul 15;228(2):127-32. doi: 10.1016/j.toxlet.2014.04.015. Epub 2014 Apr 30. Review.

PMID:
24793013
11.

Opportunities for an alternative integrating testing strategy for carcinogen hazard assessment?

Doktorova TY, Pauwels M, Vinken M, Vanhaecke T, Rogiers V.

Crit Rev Toxicol. 2012 Feb;42(2):91-106. doi: 10.3109/10408444.2011.623151. Epub 2011 Dec 5. Review.

PMID:
22141324
12.

Are tumor incidence rates from chronic bioassays telling us what we need to know about carcinogens?

Gaylor DW.

Regul Toxicol Pharmacol. 2005 Mar;41(2):128-33. Epub 2004 Dec 19.

PMID:
15698536
13.

Deregulation of cancer-related pathways in primary hepatocytes derived from DNA repair-deficient Xpa-/-p53+/- mice upon exposure to benzo[a]pyrene.

van Kesteren PC, Zwart PE, Pennings JL, Gottschalk WH, Kleinjans JC, van Delft JH, van Steeg H, Luijten M.

Toxicol Sci. 2011 Sep;123(1):123-32. doi: 10.1093/toxsci/kfr169. Epub 2011 Jun 29.

PMID:
21715664
14.

Prediction model of potential hepatocarcinogenicity of rat hepatocarcinogens using a large-scale toxicogenomics database.

Uehara T, Minowa Y, Morikawa Y, Kondo C, Maruyama T, Kato I, Nakatsu N, Igarashi Y, Ono A, Hayashi H, Mitsumori K, Yamada H, Ohno Y, Urushidani T.

Toxicol Appl Pharmacol. 2011 Sep 15;255(3):297-306. doi: 10.1016/j.taap.2011.07.001. Epub 2011 Jul 19.

PMID:
21784091
16.

Identification of molecular signatures predicting the carcinogenicity of polycyclic aromatic hydrocarbons (PAHs).

Song MK, Song M, Choi HS, Kim YJ, Park YK, Ryu JC.

Toxicol Lett. 2012 Jul 7;212(1):18-28. doi: 10.1016/j.toxlet.2012.04.013. Epub 2012 May 1.

PMID:
22579512
17.

Exploiting microRNA and mRNA profiles generated in vitro from carcinogen-exposed primary mouse hepatocytes for predicting in vivo genotoxicity and carcinogenicity.

Rieswijk L, Brauers KJ, Coonen ML, Jennen DG, van Breda SG, Kleinjans JC.

Mutagenesis. 2016 Sep;31(5):603-15. doi: 10.1093/mutage/gew027. Epub 2016 Jun 23.

PMID:
27338304
18.

Genomic models of short-term exposure accurately predict long-term chemical carcinogenicity and identify putative mechanisms of action.

Gusenleitner D, Auerbach SS, Melia T, Gómez HF, Sherr DH, Monti S.

PLoS One. 2014 Jul 24;9(7):e102579. doi: 10.1371/journal.pone.0102579. eCollection 2014.

19.

Inter-laboratory study of human in vitro toxicogenomics-based tests as alternative methods for evaluating chemical carcinogenicity: a bioinformatics perspective.

Herwig R, Gmuender H, Corvi R, Bloch KM, Brandenburg A, Castell J, Ceelen L, Chesne C, Doktorova TY, Jennen D, Jennings P, Limonciel A, Lock EA, McMorrow T, Phrakonkham P, Radford R, Slattery C, Stierum R, Vilardell M, Wittenberger T, Yildirimman R, Ryan M, Rogiers V, Kleinjans J.

Arch Toxicol. 2016 Sep;90(9):2215-29. doi: 10.1007/s00204-015-1617-3. Epub 2015 Nov 2.

PMID:
26525393
20.

An improved model of predicting hepatocarcinogenic potential in rats by using gene expression data.

Yamada F, Sumida K, Saito K.

J Appl Toxicol. 2016 Feb;36(2):296-308. doi: 10.1002/jat.3184. Epub 2015 Jul 21.

PMID:
26198598

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