Summary
We have previously shown that N-1-sulfonylpyrimidine derivatives have strong antiproliferative activity on human tumor cell lines, whereby 1-(p-toluenesulfonyl)cytosine showed good selectivity with regard to normal cells and was easily synthesized on a large scale. In the present work we have used an interdisciplinary approach to elucidate the compounds’ mechanistic class. An augmented number of cell lines (11) has allowed a computational search for compounds with similar activity profiles and/or mechanistic class by integrating our data with the comprehensive DTP–NCI database. We applied supervised machine learning methodology (Random Forest classifier), which offers information complementary to unsupervised algorithms commonly used for analysis of cytostatic activity profiles, such as self-organizing maps. The computational results taken together with cell cycle perturbation and apoptosis analysis of the cell lines point to an unusual mechanism of cytostatic action, possibly a combination of nucleic acid antimetabolite activity and a novel molecular mechanism.
This is a preview of subscription content, access via your institution.







References
Erhardt PW (2002) Medicinal chemistry in the new millennium. A glance into the future. Pure Appl Chem 74:703–785
Oprea TI, Gottfries J (2001) Chemography: the art of navigating in chemical space. J Com Chem 3:157–166
MacCoss M, Robins MJ (1990) In: Wilman DEV (ed) Chemistry of antitumor agents. Blackie and Son, Glasgow, Scotland, p 261
Robins RK, Kirin GD (1990) In: Wilman DEV (ed) Chemistry of antitumor agents. Blackie and Son, Glasgow, Scotland, p 299
Robins RK, Revankar GR (1988) In: De Clercq E, Walker RT (eds) Antiviral drug development. Plenum, New York, p 11
Kašnar B, Krizmanić I, Žinić M (1997) Synthesis of the sulfonylpirimidine derivatives as a new type of sulfonylcycloureas. Nucleosides Nucleotides 16:1067–1071
Žinić B, Krizmanić I, Vikić-Topić D, Žinić M (1999) 5-Bromo- and 5-iodo-N-1-sulfonylated cytosine derivatives. Exclusive formation of keto-imino tautomers. Croat Chem Acta 72:957–966
Žinić B, Žinić M, Krizmanić I (2003) Synthesis of the sulfonylpyrimidine derivatives with anticancer activity. EP 0 877 022 B1
Slišković DR, Krause BR, Bocan TMA (1999) In: Doherty AM, Greenlee W, Hagmann WK (eds) Annual Reports in Medicinal Chemistry 34:101–110
Melander A (1996) Oral antidiabetic drugs: an overview. Diabet Med 13:S143–S147
Furlong ET, Burkhardt MR, Gates PM, Werner SL, Battaglin WA (2000) Routine determination of sulfonylurea, imidazolinone, and sulfonamide herbicides at nanogram-per-liter concentrations by solid-phase extraction and liquid chromatography/mass spectrometry. Sci Total Environ 248:135–146
Houghton PJ, Sosinski J, Thakar JH, Boder GB, Grindey GB (1995) Characterization of the intracellular distribution and binding in human adenocarcinoma cells of N-(4-azidophenylsulfonyl)-N′-(4-chlorophenyl)urea (LY219703), a photoaffinity analogue of the antitumor diarylsulfonylurea sulofenur. Biochem Pharmacol 49:661–668
Schultz RM, Merriman RL, Toth JE, Zimmermann JE, Hertel LW, Andis SL, Dudley DE, Rutherford PG, Tanzer LR, Grindey GB (1993) Evaluation of new anticancer agents against the MIA PaCa-2 and PANC-1 human pancreatic carcinoma xenografts. Oncol Res 5:223–228
Mohamadi F, Spees MM, Grindey GB (1992) Sulfonylureas: a new class of cancer chemotherapeutic agents. J Med Chem 35:3012–3016
Morre DJ, Wu LY, Morre DM (1998) Response of a cell-surface NADH oxidase to the antitumor sulfonylurea N-(4-methylphenylsulfonyl)-N′-(4-chlorophenylurea) (LY181984) modulated by redox. Biochim Biophys Acta 1369:185–192
Toth JE, Grindey GB, Ehlhardt WJ, Ray JE, Boder GB, Bewley JR, Klingerman KK, Gates SB, Rinzel SM, Schultz RM, Weir LC, Worzalla JF (1997) Sulfonimidamide analogs of oncolytic sulfonylureas. J Med Chem 40:1018–1025
Glavaš-Obrovac L, Karner I, Žinić B, Pavelić K (2001) Antineoplastic activity of novel N-1-sulfonypyrimidine derivatives. Anticancer Res 21:1979–1986
Glavaš-Obrovac L, Karner I, Štefanić M, Kašnar-Šamprec J, Žinić B (2005) Metabolic effects of novel N-1-sulfonylpyrimidine derivatives on human colon carcinoma cells. Farmaco 60:479–483
Boyd MR, Paull KD (1995) Some practical considerations and applications of the national cancer institute in vitro anticancer drug discovery screen. Drug Dev Res 34:91–109
Martirosyan A, Gunar VI, Zav’yalov SI (1970) Tosylation of nitrogenous components of nucleic acids. Akad Nauk SSSR, Ser Khim 8:1841–1844
Kaldrikyn MA, Geboyan VA, Ter-Yakharyn YZ, Paronikyan RV, Garibdzhanyan BT, Stepanyan GM, Paronikyan GM (1986) Synthesis and biological activity of N′-4-alkoxybenzenesulfonyl-5-halouracils. Khim Farm Zh 20:928–932
Tada M (1975) Antineoplastic agents. Synthesis of some 1-substituted 5-fluorouracil derivatives. Chem Lett 4:129–130
Kašnar-Šamprec J, Glavaš-Obrovac L, Pavlak M, Mihaljević I, Mrljak V, Štambuk N, Konjevoda P, Žinić B (2005) Synthesis, spectroscopic characterization and biological activity of N-1-sulfonylcytosine derivatives. Croat Chem Acta 78:261–267
Breiman L (2001) Random Forests. Mach Learn 45:5–32
Kohonen T (1990) The self-organizing map. Proc IEEE 78:1464
Supek F: i2SOM (computer program). http://www.lis.irb.hr/∼fran/i2SOM/
Tusher VG, Tibshirani R, Chu G (2001) Significance analysis of microarrays applied to the ionizing radiation response. Proc Natl Acad Sci U S A 98:5116–5121
Paull KD, Shoemaker RH, Hodes L, Monks A, Scudiero DA, Rubinstein L, Plowman J, Boyd MR (1989) Display and analysis of patterns of differential activity of drugs against human tumor cell lines: development of mean graph and Compare algorithm. J Natl Cancer Inst 81:1088–1092
Rabow AA, Shoemaker RH, Sausville EA, Covell DG (2002) Mining the National Cancer Institute’s tumor-screening database: identification of compounds with similar cellular activities. J Med Chem 45:818–840
Holm S (1979) A simple sequentially rejective multiple test procedure. Scand J Statist 6:65–70
Chua MS, Kashiyama E, Bradshaw TD, Stinson SF, Brantley E, Sausville EA, Stevens MF (2000) Role of Cyp1A1 in modulation of antitumor properties of the novel agent 2-(4-amino-3-methylphenyl)benzothiazole (DF 203, NSC 674495) in human breast cancer cells. Cancer Res 60:5196–5203
Monks A, Harris E, Hose C, Connelly J, Sausville EA (2003) Genotoxic profiling of MCF-7 breast cancer cell line elucidates gene expression modifications underlying toxicity of the anticancer drug 2-(4-amino-3-methylphenyl)-5-fluorobenzothiazole. Mol Pharmacol 63:766–772
Qi Y, Bar-Joseph Z, Klein-Seetharaman J (2006) Evaluation of different biological data and computational classification methods for use in protein interaction prediction. Proteins 63:490–500
Topić G, Šmuc T (2007) PARF—Parallel Random Forest algorithm (computer program). http://www.parf.irb.hr
Capranico G, Binaschi M (1998) DNA sequence selectivity of topoisomerases and topoisomerase poisons. Biochim Biophys Acta 1400:185–194
Grem JL (2000) 5-Fluorouracil: forty-plus and still ticking. A review of its preclinical and clinical development. Invest New Drugs 18:299–313
Koch-Paiz CA, Amundson SA, Bittner ML, Meltzer PS, Fornace AJ, Jr (2004) Functional genomics of UV radiation responses in human cells. Mutat Res 549:65–78
Marchal JA, Boulaiz H, Suarez I, Saniger E, Campos J, Carrillo E, Prados J, Gallo MA, Espinosa A, Aranega A (2004) Growth inhibition, G(1)-arrest, and apoptosis in MCF-7 human breast cancer cells by novel highly lipophilic 5-fluorouracil derivatives. Invest New Drugs 22:379–389
Marjanović M, Kralj M, Supek F, Frkanec L, Piantanida I, Šmuc T, Tušek-Božić L (2007) Antitumor potential of crown ethers: structure–activity relationships, cell cycle disturbances, and cell death studies of a series of ionophores. J Med Chem 50:1007–1018
Witten IH, Frank E (2005) Data mining: practical machine learning tools and techniques. Morgan Kaufmann, San Francisco
Covell DG, Wallqvist A, Huang R, Thanki N, Rabow AA, Lu XJ (2005) Linking tumor cell cytotoxicity to mechanism of drug action: an integrated analysis of gene expression, small-molecule screening and structural databases. Proteins 59:403–433
Breiman L, Friedman J, Stone CJ, Olshen RA (1984) Classification and regression trees. Chapman & Hall, New York
Quinlan JR (2006) C4.5: programs for machine learning. Morgan Kaufmann, San Francisco
Acknowledgement
This work was supported by the Rudjer Boskovic Institute’s spin-off company BioZyne d.o.o., and the Ministry of Science, Education and Sport of Croatia. We are very grateful to Dr. David Covell of the National Cancer Institute’s Developmental Therapeutics Program for supplying the data set with mechanistic classes of compounds.
Author information
Authors and Affiliations
Corresponding author
Additional information
Fran Supek and Marijeta Kralj contributed equally to this work.
Rights and permissions
About this article
Cite this article
Supek, F., Kralj, M., Marjanović, M. et al. Atypical cytostatic mechanism of N-1-sulfonylcytosine derivatives determined by in vitro screening and computational analysis. Invest New Drugs 26, 97–110 (2008). https://doi.org/10.1007/s10637-007-9084-1
Received:
Accepted:
Published:
Issue Date:
DOI: https://doi.org/10.1007/s10637-007-9084-1
Keywords
- Nucleobases
- Antitumor agents
- In vitro screening
- Bioinformatics
- Random Forest