Inside the biochemical pathways of thymidylate synthase perturbed by anticancer drugs: Novel strategies to overcome cancer chemoresistance.

Our current understanding of the mechanisms of action of antitumor agents and the precise mechanisms underlying drug resistance is that these two processes are directly linked. Moreover, it is often possible to delineate chemoresistance mechanisms based on the specific mechanism of action of a given anticancer drug. A more holistic approach to the chemoresistance problem suggests that entire metabolic pathways, rather than single enzyme targets may better explain and educate us about the complexity of the cellular responses upon cytotoxic drug administration. Drugs, which target thymidylate synthase and folate-dependent enzymes, represent an important therapeutic arm in the treatment of various human malignancies. However, prolonged patient treatment often provokes drug resistance phenomena that render the chemotherapeutic treatment highly ineffective. Hence, strategies to overcome drug resistance are primarily designed to achieve either enhanced intracellular drug accumulation, to avoid the upregulation of folate-dependent enzymes, and to circumvent the impairment of DNA repair enzymes which are also responsible for cross-resistance to various anticancer drugs. The current clinical practice based on drug combination therapeutic regimens represents the most effective approach to counteract drug resistance. In the current paper, we review the molecular aspects of the activity of TS-targeting drugs and describe how such mechanisms are related to the emergence of clinical drug resistance. We also discuss the current possibilities to overcome drug resistance by using a molecular mechanistic approach based on medicinal chemistry methods focusing on rational structural modifications of novel antitumor agents. This paper also focuses on the importance of the modulation of metabolic pathways upon drug administration, their analysis and the assessment of their putative roles in the networks involved using a meta-analysis approach. The present review describes the main pathways that are modulated by TS-targeting anticancer drugs starting from the description of the normal functioning of the folate metabolic pathway, through the protein modulation occurring upon drug delivery to cultured tumor cells as well as cancer patients, finally describing how the pathways are modulated by drug resistance development. The data collected are then analyzed using network/netwire connecting methods in order to provide a wider view of the pathways involved and of the importance of such information in identifying additional proteins that could serve as novel druggable targets for efficacious cancer therapy.

Mass spectrometric/bioinformatic identification of a protein subset that characterizes the cellular activity of anticancer peptides.

The preclinical study of the mechanism of action of anticancer small molecules is challenging due to the complexity of cancer biology and the fragmentary nature of available data. With the aim of identifying a protein subset characterizing the cellular activity of anticancer peptides, we used differential mass spectrometry to identify proteomic changes induced by two peptides, LR and [d-Gln(4)]LR, that inhibit cell growth and compared them with the changes induced by a known drug, pemetrexed, targeting the same enzyme, thymidylate synthase. The quantification of the proteome of an ovarian cancer cell model treated with LR yielded a differentially expressed protein data set with respect to untreated cells. This core set was expanded by bioinformatic data interpretation, the biologically relevant proteins were selected, and their differential expression was validated on three cis-platinum sensitive and resistant ovarian cancer cell lines. Via clustering of the protein network features, a broader view of the peptides' cellular activity was obtained. Differences from the mechanism of action of pemetrexed were inferred from different modulation of the selected proteins. The protein subset identification represents a method of general applicability to characterize the cellular activity of preclinical compounds and a tool for monitoring the cellular activity of novel drug candidates.

Proteomic and Bioinformatic Studies for the Characterization of Response to Pemetrexed in Platinum Drug Resistant Ovarian Cancer.

Proteomics and bioinformatics are a useful combined technology for the characterization of protein expression level and modulation associated with the response to a drug and with its mechanism of action. The folate pathway represents an important target in the anticancer drugs therapy. In the present study, a discovery proteomics approach was applied to tissue samples collected from ovarian cancer patients who relapsed after the first-line carboplatin-based chemotherapy and were treated with pemetrexed (PMX), a known folate pathway targeting drug. The aim of the work is to identify the proteomic profile that can be associated to the response to the PMX treatment in pre-treatement tissue. Statistical metrics of the experimental Mass Spectrometry (MS) data were combined with a knowledge-based approach that included bioinformatics and a literature review through ProteinQuest™ tool, to design a protein set of reference (PSR). The PSR provides feedback for the consistency of MS proteomic data because it includes known validated proteins. A panel of 24 proteins with levels that were significantly different in pre-treatment samples of patients who responded to the therapy vs. the non-responder ones, was identified. The differences of the identified proteins were explained for the patients with different outcomes and the known PMX targets were further validated. The protein panel herein identified is ready for further validation in retrospective clinical trials using a targeted proteomic approach. This study may have a general relevant impact on biomarker application for cancer patients therapy selection.

Conformational Propensity and Biological Studies of Proline Mutated LR Peptides Inhibiting Human Thymidylate Synthase and Ovarian Cancer Cell Growth.

LR and [d-Gln4]LR peptides bind the monomer-monomer interface of human thymidylate synthase and inhibit cancer cell growth. Here, proline-mutated LR peptides were synthesized. Molecular dynamics calculations and circular dichroism spectra have provided a consistent picture of the conformational propensities of the [Pro n]-peptides. [Pro3]LR and [Pro4]LR show improved cell growth inhibition and similar intracellular protein modulation compared with LR. These represent a step forward to the identification of more rigid and metabolically stable peptides.

Development, validation and application of an LC-MS/MS bioanalytical method for the quantification of GF449, a novel 5-HT1A agonist, in rat plasma and brain.

We have recently reported a novel class of selective 5-HT1A agonists among which GF449 emerged for its high potency and almost full agonist activity (pKi 5-HT1A = 8.8; pD2 = 9.22, %Emax = 91.6). In order to quantify GF449 in rat plasma and brain, a sensitive LC-MS/MS method was developed and validated. Solid phase extraction (SPE) or a combined protein precipitation SPE permitted an efficient analyte recovery and sample clean-up. Multiple reaction monitoring (MRM) was used to track both GF449 and its internal standard (IS), MM189. GF449 was determined and quantitated to nanomolar concentrations in both plasma and brain matrix (LOQs = 0.0025 nmol/mL). Specificity was ensured using three further MRM qualifier transitions for both analyte and IS. Linearity was found in the range of 0.0025 nmol/mL to 1.00 nmol/mL (R(2) = 0.9965) and from 0.0025 nmol/mL to 50 nmol/mL (R(2) = 0.9999) for plasma and brain respectively. Intraday trueness ranged from 94.0% to 117.5% for brain and from 93.7% to 108.1% for plasma, while precision values were within 3.0% - 6.7% and 2.5% - 9.2% for plasma and brain respectively. The interday trueness of plasma ranged from 89.6% to 107.7% and the precision values (CV%) ranged from 4.6% to 7.5%. Interday trueness and precision (CV%) of the brain ranged from 94.3% to 101.2% and from 1.6% to 11.5% respectively. The method was validated in accordance with the EMEA guidelines and was successfully applied to plasma and brain samples obtained from rats treated with a 10 mg/kg single oral dose of GF449, thus demonstrating its applicability to preclinical pharmacokinetic studies.