Literature DB >> 28183252

Pharmacological Profile and Pharmacogenomics of Anti-Cancer Drugs Used for Targeted Therapy.

Raffaele Di Francia1, Angela De Monaco1, Mariangela Saggese1, Giancarla Iaccarino1, Stefania Crisci1, Ferdinando Frigeri1, Rosaria De Filippi2, Massimiliano Berretta3, Antonio Pinto1.   

Abstract

BACKGROUND: Drugs for targeted therapies are primarily Small Molecules Inhibitors (SMIs), monoclonal antibodies (mAbs), interfering RNA molecules and microRNA. The use of these new agents generates a multifaceted step in the pharmacokinetics (PK) of these drugs. Individual PK variability is often large, and unpredictability observed in the response to the pharmacogenetic profile of the patient (e.g. cytochome P450 enzyme), patient characteristics such as adherence to treatment and environmental factors.
OBJECTIVE: This review aims to overview the latest anticancer drugs eligible for targeted therapies and the most recent finding in pharmacogenomics related to toxicity/resistance of either individual gene polymorphisms or acquired mutation in a cancer cell. In addition, an early outline evaluation of the genotyping costs and methods has been taken into consideration. Future Outlook: To date, therapeutic drug monitoring (TDM) of mAbs and SMIs is not yet supported by heavy scientific evidence. Extensive effort should be made for targeted therapies to better define concentration-effect relationships and to perform comparative randomized trials of classic dosing versus PK-guided adaptive dosing. The detection of individual pharmacogenomics profile could be the key for the oncologists that will have new resources to make treatment decisions for their patients in order to maximize the benefit and minimize the toxicity. Based on this purpose, the clinician should evaluate advantages and limitations, in terms of costs and applicability, of the most appropriate pharmacological approach to performing a tailored therapy. Copyright© Bentham Science Publishers; For any queries, please email at epub@benthamscience.org.

Entities:  

Keywords:  Anticancer mAbs; cancer cell; personalized medicine; pharmacogenomics; tailored therapy; tyrosine kinase inhibitors.

Mesh:

Substances:

Year:  2018        PMID: 28183252     DOI: 10.2174/1568009617666170208162841

Source DB:  PubMed          Journal:  Curr Cancer Drug Targets        ISSN: 1568-0096            Impact factor:   3.428


  8 in total

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Review 2.  Modern developments in germline pharmacogenomics for oncology prescribing.

Authors:  Natalie M Reizine; Peter H O'Donnell
Journal:  CA Cancer J Clin       Date:  2022-03-18       Impact factor: 286.130

3.  Clinically actionable genotypes for anticancer prescribing among >1500 patients with pharmacogenomic testing.

Authors:  Natalie M Reizine; Keith Danahey; Tien M Truong; David George; Larry K House; Theodore G Karrison; Xander M R van Wijk; Kiang-Teck J Yeo; Mark J Ratain; Peter H O'Donnell
Journal:  Cancer       Date:  2022-01-28       Impact factor: 6.921

Review 4.  Pharmacogenetic-Based Interactions between Nutraceuticals and Angiogenesis Inhibitors.

Authors:  Raffaele Di Francia; Massimiliano Berretta; Giulio Benincasa; Alfredo D'Avino; Sergio Facchini; Domenico Costagliola; Paola Rossi
Journal:  Cells       Date:  2019-05-30       Impact factor: 6.600

Review 5.  Utility, promise, and limitations of liquid chromatography-mass spectrometry-based therapeutic drug monitoring in precision medicine.

Authors:  Vanessa P Gaspar; Sahar Ibrahim; René P Zahedi; Christoph H Borchers
Journal:  J Mass Spectrom       Date:  2021-11-04       Impact factor: 1.982

6.  Cytotoxic effect of sea anemone pore-forming toxin on K562 chronic myeloid leukemia cells.

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Journal:  Vet Res Forum       Date:  2021-12-15       Impact factor: 0.950

Review 7.  Revealing Drug-Target Interactions with Computational Models and Algorithms.

Authors:  Liqian Zhou; Zejun Li; Jialiang Yang; Geng Tian; Fuxing Liu; Hong Wen; Li Peng; Min Chen; Ju Xiang; Lihong Peng
Journal:  Molecules       Date:  2019-05-02       Impact factor: 4.411

8.  Tumor Treating Fields Concomitant with Sorafenib in Advanced Hepatocellular Cancer: Results of the HEPANOVA Phase II Study.

Authors:  Eleni Gkika; Anca-Ligia Grosu; Teresa Macarulla Mercade; Antonio Cubillo Gracián; Thomas B Brunner; Michael Schultheiß; Monika Pazgan-Simon; Thomas Seufferlein; Yann Touchefeu
Journal:  Cancers (Basel)       Date:  2022-03-18       Impact factor: 6.639

  8 in total

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