Dataset Information

Epothilones: From discovery to clinical trials.

ABSTRACT: Epothilones are natural compounds isolated from a myxobacterium at the beginning of the 1990s, and showed a remarkable anti-neoplastic activity. They act through the same mechanism of action of paclitaxel, by stabilizing microtubules and inducing apoptosis. Although, their chemical structure, simpler than taxanes, makes them more suitable for derivatization. Their interesting pharmacokinetic and bioavailabilty profiles, and the activity against paclitaxel-resistant cell lines make them interesting therapeutic agents. Here a brief historical perspective of epothilones is presented, since their isolation, the identification of their mechanism of action and activity, to the recent clinical trials.

SUBMITTER: Forli S

PROVIDER: S-EPMC4629788 | biostudies-literature | 2014

REPOSITORIES: biostudies-literature

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Epothilones: From discovery to clinical trials.

Forli Stefano S

Current topics in medicinal chemistry 20140101 20

Epothilones are natural compounds isolated from a myxobacterium at the beginning of the 1990s, and showed a remarkable anti-neoplastic activity. They act through the same mechanism of action of paclitaxel, by stabilizing microtubules and inducing apoptosis. Although, their chemical structure, simpler than taxanes, makes them more suitable for derivatization. Their interesting pharmacokinetic and bioavailabilty profiles, and the activity against paclitaxel-resistant cell lines make them interesti ...[more]

PMID: 25434353

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Project description:TARGET (Tumour characterisation to Guide Experimental Targeted therapy) seeks to optimise the pathway for molecular characterisation of all patients entering early phase cancer trials to inform clinical decision-making on optimal therapy. Performance status (PS) was developed to assess a patient’s ability to perform a variety of activities to further inform clinical decision making on optimal therapy including appropriate inclusion in clinical trials. However, the quality of present algorithms to assess performance status are limited and based on a semi-quantitative clinician assessment. In particular, a common eligibility criterion for entry into early phase cancer clinical trials is a life expectancy of >3 or 6 months. Here we investigate proteomics as a means of more objective and quantitative assessment of both performance status and thus likely prognosis prior to clinical trial enrolment. Improved patient stratification at enrolment would reduce the number of patients unnecessarily exposed to potentially toxic drugs and decrease withdrawal from trials. Plasma samples from patients enrolled into the TARGET trial were analysed using the mass spectrometry (MS) technique: Sequential window acquisition of all theoretical fragment ion spectra (SWATH) MS. SWATH-MS was used on a discovery cohort of 73 patients to identify proteins that could differentiate patients into either a good or poor prognosis. A three-protein panel showed a stronger prediction of overall survival (p = 0.000086) compared to PS (p = 0.001). This panel was then tested against a validation cohort of 77 patients. The panel was determined as being a significant (p = 0.000451) predictor of overall survival whereas PS was not significant. The panel had a receiver operating characteristic curve area under the curve (AUC) of 0.73 in the validation set; the AUC of PS was 0.54. This signature can now be developed further in larger patient populations to assess its utility in a clinical setting.

Dataset Information

Epothilones: From discovery to clinical trials.

Publications

Epothilones: From discovery to clinical trials.

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