Cell senescence and telomere shortening induced by a new series of specific G-quadruplex DNA ligands.

Telomeres of human chromosomes contain a G-rich 3'-overhang that adopts an intramolecular G-quadruplex structure in vitro which blocks the catalytic reaction of telomerase. Agents that stabilize G-quadruplexes have the potential to interfere with telomere replication by blocking the elongation step catalyzed by telomerase and can therefore act as antitumor agents. We have identified by Fluorescence Resonance Energy Transfer a new series of quinoline-based G-quadruplex ligands that also exhibit potent and specific anti-telomerase activity with IC50 in the nanomolar concentration range. Long term treatment of tumor cells at subapoptotic dosage induces a delayed growth arrest that depends on the initial telomere length. This growth arrest is associated with telomere erosion and the appearance of the senescent cell phenotype (large size and expression of beta-galactosidase activity). Our data show that a G-quadruplex interacting agent is able to impair telomerase function in a tumor cell thus providing a basis for the development of new anticancer agents.

Ethidium derivatives bind to G-quartets, inhibit telomerase and act as fluorescent probes for quadruplexes.

The telomeric G-rich single-stranded DNA can adopt in vitro an intramolecular quadruplex structure, which has been shown to directly inhibit telomerase activity. The reactivation of this enzyme in immortalized and most cancer cells suggests that telomerase is a relevant target in oncology, and telomerase inhibitors have been proposed as new potential anticancer agents. In this paper, we describe ethidium derivatives that stabilize G-quadruplexes. These molecules were shown to increase the melting temperature of an intramolecular quadruplex structure, as shown by fluorescence and absorbance measurements, and to facilitate the formation of intermolecular quadruplex structures. In addition, these molecules may be used to reveal the formation of multi-stranded DNA structures by standard fluorescence imaging, and therefore become fluorescent probes of quadruplex structures. This recognition was associated with telomerase inhibition in vitro: these derivatives showed a potent anti-telomerase activity, with IC(50) values of 18-100 nM in a standard TRAP assay.

Multivariate data analysis using D-optimal designs, partial least squares, and response surface modeling: A directional approach for the analysis of farnesyltransferase inhibitors.

We have investigated the combined use of partial least squares (PLS) and statistical design principles in principal property space (PP-space), derived from principal component analysis (PCA), to analyze farnesyltransferase inhibitors in order to identify "activity trends" (an approach we call a "directional" approach) and quantitative structure-activity relationships (QSAR) for a congeneric series of inhibitors: the benzo[f]perhydroisoindole (BPHI) series. Trends observed in the PCA showed that the descriptors used were relevant to describe our structural data set by clearly identifying two well-defined structural subclasses of inhibitors. D-Optimal design techniques allowed us to define a training set for PLS study in PP-space. Models were derived for each biological assay under evaluation: the in vitro Ki-Ras and cellular HCT116 tests. Each of these assay-based sets was subdivided once more into two subsets according to two structural classes in this BPHI series as revealed by the PCA model. The response surface modeling (RSM) methodology was used for each subset, and the corresponding RSM plots helped us identify "activity trends" exploited to guide further analogue design. For more precise activity predictions more refined PLS models on constrained PP-spaces were developed for each subset. This approach was validated with predicted sets and demonstrates that useful information can be extracted from just a few very informative and representative compounds. Finally, we also showed the potential use of such a strategy at an early stage of an optimization process to extract the first "activity trends" that might support decision making and guide medicinal chemists in the initial design of new analogues and/or lead followup libraries.

Telomerase: a therapeutic target for the third millennium?

Telomerase offers the potential opportunity to control cell proliferation by interfering with a totally new and unique biological process which is cell senescence. The aim of this review is to impartially present the state of the art in telomerase with the pros and the cons of the current scientific situation of this fast-growing and fascinating topic for answering the key question asked by experimental and medical oncologists: Will telomerase be a therapeutic target for the third millenium? The most convincing argument (which is a scientifically documented one) for going ahead with this target is obviously the strong correlation existing between the level and frequency of telomerase expression and the malignant properties of tumors. This has been now largely documented in established tumor cell lines and fresh tumor samples obtained from patients. Noteworthy is the very important difference of telomerase expression between malignant and normal tissues. This difference is much higher than those observed for classical enzymatic targets of chemotherapy such as thymidylate synthetase, dihydrofolate reductase and topoisomerases. If this translates to the clinical situation, telomerase inhibitors might display a good selectivity for tumor cells with a minimal toxicity for normal tissues. The most appealing criticism (which is still purely speculative) is obviously the clinical relevance of inhibiting telomerase in cancer patients. According to the paradigm currently proposed for telomeres and telomerases, it can be predicted that telomerase inhibition will not affect a tumor until its telomeres reach the critical size for entering senescence. This means that during anti-telomerase therapy, the tumor cells will continue grow undergoing 20-30 divisions until the telomeres reach a critical size leading to tumor senescence. Does this make sense, especially in patients with advanced tumors at the beginning of the therapy? Ultimately, the definitive answer to the question will not come from intellectual speculation but from the properties of telomerase inhibitors, first in tumor bearing animals, then finally in cancer patients! Several institutions are very active in the development of telomerase inhibitors. Different stategies are used: direct inhibition of telomerase, interference with telomeres (G quartets), interaction with other proteins involved in the regulation of telomerase and telomeres.

The development of telomerase inhibitors: the G-quartet approach.

Human telomeres, which consist of repeated TTAGGG sequences, have recently become the focus of intense and highly competitive biological research. This scientific interest lies in their unique biological functions: telomeres are essential for genome integrity and appear to play an important role in cellular aging and cancer. As telomerase appears to be selectively expressed in tumors versus normal cells, this enzyme represents a good target for inhibition. Different types of telomerase inhibitors have recently been described. We will present briefly the different strategies that have been proposed to achieve efficient telomerase inhibition, with a special emphasis on G-quartet ligands.

DIVSEL and COMPLIB--strategies for the design and comparison of combinatorial libraries using pharmacophoric descriptors.

Screening synthetic combinatorial libraries may facilitate rapid drug lead discovery by substantially increasing the number of molecules tested. Drug discovery efficiency and productivity can be further improved by designing libraries to maximize their molecular diversity or by comparing them to existing collections of compounds and/or libraries to select those that complement the properties already well represented. In this paper we describe two strategies to aid in the design and comparison of combinatorial libraries. The methods employ multi-pharmacophore three-dimensional (3D) descriptors in combination with two recent proposals for dissimilarity-based compound selection and library comparison. This method allows the design to be performed in product space and library comparison to consider all pair-wise intermolecular contributions to the diversity.

Asymmetrically substituted ethylenediamine platinum(II) complexes as antitumor agents: synthesis and structure-activity relationships.

A series of platinum dichloroethylenediamine complexes [PtCl2(R-en)] bearing a side chain on one carbon atom of the ethylenediamine ligand, with or without a functional group on the side chain, have been prepared and investigated for antitumor activity against L1210 leukemia. They were tested both in vitro, with cisplatin-sensitive and resistant cell lines, and in vivo, with cisplatin-sensitive and resistant tumors grafted i.p. in B6D2F1 mice. The rationale for this study was to test how charge, polarity and shape of the R side chain influence antitumor activity. Complexes carrying one or more ammonium groups on the side chain were all inactive. Derivatives with a carbamate function attached by the nitrogen atom, via a methylene group, to the ethylenediamine moiety ('N-bound' carbamate) were highly active in vitro and in vivo. The best results were obtained with these carbamates bearing hydrophobic substituents of intermediate size. Replacement of N-bound by O-bound carbamate or by urea groups led to decreased in vivo activity. Sulfonamide derivatives were all inactive. Good to excellent activities were also recorded for complexes bearing bulky bicycloalkyl substituents, without any functional group, attached to one ethylenediamine carbon atom. Thus, it is the steric features of the side chain rather than its polarity that appear to favor the antitumor activity of the complex. Compared to cisplatin and oxaliplatin, the present complexes do not exhibit advantages in terms of experimental antitumor activities in solid tumor models.