Stefania Crucitta

The Detection of Androgen Receptor Splice Variant 7 in Plasma-derived Exosomal RNA Strongly Predicts Resistance to Hormonal Therapy in Metastatic Prostate Cancer Patients.

BACKGROUND The androgen receptor splice variant 7 (AR-V7) is associated with resistance to hormonal therapy in castration-resistant prostate cancer (CRPC). Due to limitations of the methods available for AR-V7 analysis, the identification of a reliable detection method may facilitate the use of this biomarker in clinical practice. OBJECTIVE To confirm AR-V7 as a predictor of resistance to hormonal therapy and develop a new approach to assess AR-V7 by highly sensitive digital droplet polymerase chain reaction (ddPCR) in plasma-derived exosomal RNA. DESIGN, SETTING, AND PARTICIPANTS Plasma samples were collected from 36 CRPC patients before they began second-line hormonal treatment. Exosomes were isolated and RNA extracted for analysis of AR-V7 by ddPCR. OUTCOME MEASUREMENTS AND STATISTICAL ANALYSIS The absolute target gene concentration as copies per milliliter (copies/ml) was determined by ddPCR. Statistical analyses were performed with SPSS software (IBM Corp., Armonk, NY, USA). RESULTS AND LIMITATIONS A total of 26 patients received abiraterone and 10 enzalutamide; 39% of patients were found to be AR-V7 positive (AR-V7+). Median progression-free survival was significantly longer in AR-V7 negative (AR-V7-) versus AR-V7+ patients (20 vs 3 mo; p<0.001). Overall survival was significantly shorter in AR-V7+ participants at baseline compared with AR-V7- participants (8 mo vs not reached; p<0.001). CONCLUSIONS This study demonstrates that plasma-derived exosomal RNA is a reliable source of AR-V7 that can be detected sensitively by ddPCR assay. We also showed that resistance to hormonal therapy may be predicted by AR-V7, making it a clinically relevant biomarker. PATIENT SUMMARY We report a first study on a method for androgen receptor splice variant 7 (AR-V7) detection in RNA extracted from cancer cell vesicles released in blood. Results confirmed the role of AR-V7 as a predictive biomarker of resistance to hormonal therapy. Our assay showed that vesicles are a reliable source of AR-V7 RNA and that the method is fast, highly sensitive, and affordable.

Pharmacogenetics of CYP2D6 and tamoxifen therapy: Light at the end of the tunnel?

The clinical usefulness of assessing the enzymatic activity of CYPD6 in patients taking tamoxifen had been longly debated. In favour of preemptive evaluation of phenotypic profile of patients is the strong pharmacologic rationale, being that the formation of endoxifen, the major and clinically most important metabolite of tamoxifen, is largely dependent on the activity of CYP2D6. This enzyme is highly polymorphic for which the activity is largely depending on genetics, but that can also be inhibited by a number of drugs, i.e. antidepressants, which are frequently used in patients with cancer. Unfortunately, the clinical trials that have been published in the last years are contradicting each other on the association between CYP2D6 and significant clinical endpoints, and for this reason CYP2D6 genotyping is at present not generally recommended. Despite this, the CYP2D6 genotyping test for tamoxifen is available in many laboratories and it may still be an appropriate test to use it in specific cases.

The role of drug-drug interactions in prostate cancer treatment: Focus on abiraterone acetate/prednisone and enzalutamide

Elderly patients with cancer may have comorbidities, each requiring additional pharmacologic treatment. Therefore, the occurrence of pharmacokinetic (PK) and pharmacodynamic (PD) interactions is very likely, and the risk of adverse reactions (ADRs), due to the narrow therapeutic window of anticancer drugs, is increased. Drug-drug interactions (DDIs) may occur in prostate cancer patients due to inhibition by abiraterone of liver cytochrome P450 (CYP)-dependent enzymes CYP2C8 and 2D6, which are involved in the metabolism of approximately 25% of all drugs, and induction by enzalutamide of CYP3A4, 2C9 and 2C19, which metabolize up to 50% of medications. Therefore, abiraterone may increase plasma levels of CYP2D6 substrates, including amitriptyline, oxycodone and risperidone, as well as of CYP2C8 substrates including amiodarone and carbamazepine. Since enzalutamide is extensively metabolized by CYP2C8, its plasma levels are likely to be raised if coadministered with strong CYP2C8 inhibitors such as gemfibrozil or pioglitazone. Inducers of CYP2C8 (i.e., rifampin) may reduce the effectiveness of enzalutamide and hence should be avoided. Enzalutamide may decrease plasma levels of CYP3A4, 2C9 and 2C19 substrates including disopiramide, quetiapine, quinidine and warfarin. Growing awareness of the importance of DDIs in cancer patients is now reflected in the variety of web-based sources offering information and guidance. However, the evaluation of the clinical relevance of DDIs is the result of a comprehensive evaluation of many factors, including therapeutic index, amplitude of therapeutic range and presence of comorbidities, requiring a specific expertise in clinical pharmacology.

Pharmacogenetics and Metabolism from Science to Implementation in Clinical Practice: The Example of Dihydropyrimidine Dehydrogenase

BACKGROUND Fluoropyrimidines are widely used in the treatment of solid tumors and remain the backbone of many combination chemotherapy regimens. Despite their clinical benefit, they are associated with frequent gastrointestinal and hematological toxicities, which often lead to treatment discontinuation. Fluoropyrimidines undergo complex anabolic and catabolic biotransformation. Enzymes involved in this pathway include dihydropyrimidine dehydrogenase (DPD), which breaks down 5-FU and its prodrugs. Candidate gene approaches have demonstrated associations between 5-FU treatment outcomes and germline polymorphisms in DPD. The aim of this review is to report and discuss the latest results on fluoropyrimidine pharmacogenetics. METHODS Literature from PubMed databases and bibliography from retrieved publications have been analyzed according to terms such DPD, DPYD, fluoropyrimdines, polymorphisms, toxicity, pharmacogenetics. RESULTS To date, many sequence variations have been identified within DPYD gene, although the majority of these have no functional consequences on enzymatic activity. Nowadays, there is a general agreement on the clinical significance of the importance of DPD deficiency in patients who suffer from severe, life-threatening drug toxicity although preemptive testing is not applied to all patients. CONCLUSION Considering the published literature, clinicians are strongly encouraged to consider testing for DPD poor metabolizer variants as a rational pre-treatment screening for patients candidate to a fluoropyrimidine-based regimens, in order to prevent toxicities and personalise treatments.

Concise Review: Chronic Myeloid Leukemia: Stem Cell Niche and Response to Pharmacologic Treatment

Nowadays, more than 90% of patients affected by chronic myeloid leukemia (CML) survive with a good quality of life, thanks to the clinical efficacy of tyrosine kinase inhibitors (TKIs). Nevertheless, point mutations of the ABL1 pocket occurring during treatment may reduce binding of TKIs, being responsible of about 20% of cases of resistance among CML patients. In addition, the presence of leukemic stem cells (LSCs) represents the most important event in leukemia progression related to TKI resistance. LSCs express stem cell markers, including active efflux pumps and genetic and epigenetic alterations together with deregulated cell signaling pathways involved in self‐renewal, such as Wnt/β‐catenin, Notch, and Hedgehog. Moreover, the interaction with the bone marrow microenvironment, also known as hematopoietic niche, may influence the phenotype of surrounding cells, which evade mechanisms controlling cell proliferation and are less sensitive or frankly resistant to TKIs. This Review focuses on the role of LSCs and stem cell niche in relation to response to pharmacological treatments. A literature search from PubMed database was performed until April 30, 2017, and it has been analyzed according to keywords such as chronic myeloid leukemia, stem cell, leukemic stem cells, hematopoietic niche, tyrosine kinase inhibitors, and drug resistance. Stem Cells Translational Medicine 2018;7:305–314

EGFR-TKIs in non-small-cell lung cancer: focus on clinical pharmacology and mechanisms of resistance.

The clinical introduction of EGFR-TKIs within the oncologic armamentarium has changed the therapeutic landscape of non-small-cell lung cancer (NSCLC) creating widespread expectations both in patients and clinicians. However, several gaps in current understanding leave open important questions regarding the use of these drugs in clinical practice. For instance, there is uncertainty in regard to which EGFR-TKI should be given first in naive patients with EGFR-driven malignancies since different generations of drugs are available with different pharmacological profiles. Furthermore, acquired drug resistance may limit the therapeutic potential of EGFR-TKIs and the choice of the best treatment strategy after first-line treatment failure is still debated. This review article is aimed at describing the pharmacological properties of EGFR-TKIs and the current treatment options for NSCLC patients who develop acquired resistance. This information might be useful to design new rational and more effective pharmacological strategies in patients with EGFR-mutant NSCLC.

Concise Review: Resistance to Tyrosine Kinase Inhibitors in Non‐Small Cell Lung Cancer: The Role of Cancer Stem Cells

Among the potential mechanisms involved in resistance to tyrosine kinase inhibitors (TKIs) in non‐small cell lung cancer, the manifestation of stem‐like properties in cancer cells seems to have a crucial role. Alterations involved in the development of TKI resistance may be acquired in a very early phase of tumorigenesis, supporting the hypothesis that these aberrations may be present in cancer stem cells (CSCs). In this regard, the characterization of tumor subclones in the initial phase and the identification of the CSCs may be helpful in planning a specific treatment to target selected biomarkers, suppress tumor growth, and prevent drug resistance. The aim of this review is to elucidate the role of CSCs in the development of resistance to TKIs and its implication for the management of patients. Stem Cells 2018;36:633–640

Pharmacogenetics of androgen signaling in prostate cancer: Focus on castration resistance and predictive biomarkers of response to treatment

Tumor heterogeneity strongly affects the molecular mechanisms driving resistance to hormonal therapies in castration-resistant prostate cancer. Since the current use of available treatments can be optimized on the basis of the molecular profile of tumor, the present review focuses on genetic biomarkers in prostate cancer and their application to a personalized treatment.

PD-L1 mRNA expression in plasma-derived exosomes is associated with response to anti-PD-1 antibodies in melanoma and NSCLC.

This corrects the article DOI: 10.1038/bjc.2017.85

KRAS mutations and its implications for acquired resistance to treatment in NSCLC

Rationale KRAS is the most common and, simultaneously, the most ambiguous oncogene implicated in human cancer. Despite KRAS mutations were identified in Non Small Cell Lung Cancers (NSCLCs) more than 20 years ago, selective and specific inhibitors aimed at directly abrogating KRAS activity are not yet available. Nevertheless, many therapeutic approaches have been developed potentially useful to treat NSCLC patients mutated for KRAS and refractory to both standard chemotherapy and targeted therapies. The focus of this review will be to provide an overview of the network related to the intricate molecular KRAS pathways, stressing on preclinical and clinical studies that investigate the predictive value of KRAS mutations in NSCLC patients. Materials and Methods A bibliographic search of the Medline database was conducted for articles published in English, with the keywords KRAS, KRAS mutations in non-small cell lung cancer, KRAS and tumorigenesis, KRAS and TKIs, KRAS and chemotherapy, KRAS and monoclonal antibody, KRAS and immunotherapy, KRAS and drugs, KRAS and drug resistance.