Targeted therapeutic approaches for hormone-refractory prostate cancer

Prostate cancer is one of the leading causes of cancer related death in men, and remains incurable in the metastatic setting. Despite the initial response to androgen deprivation, the disease gradually progresses to a hormone-refractory state due to cumulative genetic alterations in tumour cells or the microenvironment. Docetaxel represents the first chemotherapeutic agent with a small survival benefit for metastatic hormone-refractory prostate cancer (HRPC). In an attempt to improve survival benefit, several novel drugs targeting specific pathways involved in cell signaling, proliferation, angiogenesis, apoptosis and immune modulation are currently under investigation either as single agents or in combination with cytotoxic drugs. Clinical trials evaluate the inhibition of prostate cancer cells growth by targeting the nuclear receptor of vitamin D alongside cytotoxic therapy. Angiogenesis inhibitors as well as epidermal growth factor receptor blockage are also under clinical investigation in several combinations. Immunomodulatory agents and autologous dendritic cells or allogenic whole cell vaccines have progressed up to phase III trials. New drugs targeting bone microenvironment or apoptotic and proliferation pathways may enhance antitumour activity of chemotherapy in HRCP. Given the complexity of mechanisms underlying prostate cancer progression, future therapeutic strategies should rely on multidisciplinary approaches, thus exploiting newer molecular targets in concert with immunotherapy and cytotoxic chemotherapy. Here, we review the latest clinical evidence regarding the use of novel agents in HRPC. (C) 2009 Elsevier Ltd. All rights reserved

Comparison of the Ability of Different Clinical Treatment Scores to Estimate Prognosis in High-Risk Early Breast Cancer Patients: A Hellenic Cooperative Oncology Group Study.

Early breast cancer is a heterogeneous disease, and, therefore, prognostic tools have been developed to evaluate the risk for distant recurrence. In the present study, we sought to develop a risk for recurrence score (RRS) based on mRNA expression of three proliferation markers in high-risk early breast cancer patients and evaluate its ability to predict risk for relapse and death. In addition the Adjuvant! Online score (AOS) was also determined for each patient, providing a 10-year estimate of relapse and mortality risk. We then evaluated whether RRS or AOS might possibly improve the prognostic information of the clinical treatment score (CTS), a model derived from clinicopathological variables.A total of 1,681 patients, enrolled in two prospective phase III trials, were treated with anthracycline-based adjuvant chemotherapy. Sufficient RNA was extracted from 875 samples followed by multiplex quantitative reverse transcription-polymerase chain reaction for assessing RACGAP1, TOP2A and Ki67 mRNA expression. The CTS, slightly modified to fit our cohort, integrated the prognostic information from age, nodal status, tumor size, histological grade and treatment. Patients were also classified to breast cancer subtypes defined by immunohistochemistry. Likelihood ratio (LR) tests and concordance indices were used to estimate the relative increase in the amount of information provided when either RRS or AOS is added to CTS.The optimal RRS, in terms of disease-free survival (DFS) and overall survival (OS), was based on the co-expression of two of the three evaluated genes (RACGAP1 and TOP2A). CTS was prognostic for DFS (p3 positive nodes (LR-Δχ2 23.9, p3 positive nodes

Clinical feasibility of NGS liquid biopsy analysis in NSCLC patients.

BackgroundAnalysis of circulating tumor nucleic acids in plasma of Non-Small Cell Lung Cancer (NSCLC) patients is the most widespread and documented form of "liquid biopsy" and provides real-time information on the molecular profile of the tumor without an invasive tissue biopsy.MethodsLiquid biopsy analysis was requested by the referral physician in 121 NSCLC patients at diagnosis and was performed using a sensitive Next Generation Sequencing assay. Additionally, a comparative analysis of NSCLC patients at relapse following EGFR Tyrosine Kinase Inhibitor (TKIs) treatment was performed in 50 patients by both the cobas and NGS platforms.ResultsAt least one mutation was identified in almost 49% of the cases by the NGS approach in NSCLC patients analyzed at diagnosis. In 36 cases with paired tissue available a high concordance of 86.11% was observed for clinically relevant mutations, with a Positive Predictive Value (PPV) of 88.89%. Furthermore, a concordance rate of 82% between cobas and the NGS approach for the EGFR sensitizing mutations (in exons 18, 19, 21) was observed in patients with acquired resistance to EGFR TKIs, while this concordance was 94% for the p.T790M mutation, with NGS being able to detect this mutation in three 3 additional patients.ConclusionsThis study indicates the feasibility of circulating tumor nucleic acids (ctNA) analysis as a tumor biopsy surrogate in clinical practice for NSCLC personalized treatment decision making. The use of new sensitive NGS techniques can reliably detect tumor-derived mutations in liquid biopsy and provide clinically relevant information both before and after targeted treatment in patients with NSCLC. Thus, it could aid physicians in treatment decision making in clinical practice

Prognostic information among models used in terms of DFS.

<p>Prognostic information among models used in terms of DFS.</p

Discrimination power by the concordance index (C-index) for the three scores alone and their combinations.

<p>C-indices by IHC subtypes, HER2 status and number of positive nodes are shown in the x-axis for disease-free survival (left panels) and overall survival (right panels).</p

Prognostic information of CTS and improved significance when adding RRS or AOS to CTS.

<p>Changes in the likelihood ratio (LR) values (LR-Δχ²) are shown in the y-axis for disease-free survival (left panel) and overall survival (right panel).</p

Photos of TMA and whole tumor sections

Primary image data of TMA and whole tumor section