Global Investigation of Therapeutic Decisions in Hepatocellular Carcinoma and of Treatment with Sorafenib (GIDEON) is a worldwide, prospective, non-interventional study to evaluate the safety of sorafenib in a variety of patient subsets.
Eligible patients had unresectable hepatocellular carcinoma for whom the decision had been made to treat with sorafenib. Treatment strategies were instituted at the physician’s discretion. Patient and disease characteristics, treatment practices, incidences of adverse events (AEs), and overall survival were collected.
In the United States, 563 patients were evaluable for safety. Subgroup analysis was performed for patients who underwent transarterial chemoembolization (TACE) prior to the initiation of sorafenib (group A, n=158), after the initiation of sorafenib only (group B, n=29), both (group C, n=38), or did not undergo TACE (n=318). Patient demographics were similar across the groups. In group A, 29% had Child-Pugh score B or C at diagnosis, and 19% had Barcelona Clinic Liver Cancer tumor stage C or D. In group B, 48% had Child-Pugh score B or C at study entry, and 31% had BCLC stage C or D. The majority of patients in all groups initially received full-dose sorafenib. Incidences of grade ≥3 drug-related AEs were 30%, 17%, and 16% in groups A, B, and C, respectively, and 22% in patients who did not undergo TACE. No new safety signals emerged.
The results from GIDEON reaffirm that sorafenib can be safely used in the context of TACE.

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Spontaneously occurring soft tissue sarcoma (STS) is relatively common in canine cancer patients. Because of the similarities to human disease, canine STSs are a valuable and readily available resource for the study of new therapeutics. In this study, a canine patient-derived xenograft (PDX) model, CDX-STS2, was established. The CDX-STS2 model was engrafted and expanded for systemic administration studies with chemotherapeutic agents commonly used to treat STS, including doxorubicin, docetaxel and gemcitabine. Immunohistochemistry for drug-specific biomarkers and tumour growth measurement revealed tumour sensitivity to doxorubicin and docetaxel, whereas gemcitabine had no effect on tumour growth. Although many human PDX tumour models have been established, relatively few canine PDX models have been reported to date. CDX-STS2 represents a new STS PDX research model of canine origin that will be useful in bridging preclinical research with clinical studies of STS in pet dogs.
© 2016 John Wiley & Sons Ltd.

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Identification of clinically relevant oncogenic drivers in advanced cancer is critical in selecting appropriate targeted therapy. Using next-generation sequencing (NGS)-based clinical cancer gene assay, we performed comprehensive genomic profiling (CGP) of advanced cases of lung adenocarcinoma.
Formalin-fixed paraffin-embedded tumors from 51 lung adenocarcinoma patients whose tumors previously tested negative for EGFR/KRAS/ALK by conventional methods were collected, and CGP was performed via hybridization capture of 4,557 exons from 287 cancer-related genes and 47 introns from 19 genes frequently rearranged in cancer.
Genomic profiles of all 51 cases were obtained, with a median coverage of 564x and a total of 190 individual genomic alterations (GAs). GAs per specimen was a mean of 3.7 (range 0-10).Cancer genomes are characterized by 50% (80/190) non-synonymous base substitutions, 15% (29/190) insertions or deletion, and 3% (5/190) splice site mutation. TP53 mutation was the most common GAs (15%, n=29/190), followed by CDKN2A homozygous loss (5%, n=10/190), KRAS mutation (4%, n=8/190), EGFR mutation (4%, n=8/190) and MDM2 amplification (2%, n=5/190). As per NCCN guidelines, targetable GAs were identified in 16 patients (31%) (BRAF mutation [n=1], EGFR mutation [n=8], ERBB2 mutation [n=4], MET amplification [n=1], KIF5B-RET rearrangement [n=2], CCDC6-RET rearrangement [n=1], CD74-ROS1 rearrangement [n=1], EZR-ROS1 rearrangement [n=5], and SLC34A2-ROS1 rearrangement [n=1]).
Fifty eight percent of patients wild type by standard testing for EGFR/KRAS/ALK have GAs identifiable by CGP that suggest benefit from target therapy. CGP used when standard molecular testing for NSCLC is negative can reveal additional avenues of benefit from targeted therapy.

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Conventionally, phase I dose-finding trials aim to determine the maximum tolerated dose of a new drug under the assumption that both toxicity and efficacy monotonically increase with the dose. This paradigm, however, is not suitable for some molecularly targeted agents, such as monoclonal antibodies, for which efficacy often increases initially with the dose and then plateaus. For molecularly targeted agents, the goal is to find the optimal dose, defined as the lowest safe dose that achieves the highest efficacy. We develop a Bayesian phase I/II dose-finding design to find the optimal dose. We employ a logistic model with a plateau parameter to capture the increasing-then-plateau feature of the dose-efficacy relationship. We take the weighted likelihood approach to accommodate for the case where efficacy is possibly late-onset. Based on observed data, we continuously update the posterior estimates of toxicity and efficacy probabilities and adaptively assign patients to the optimal dose. The simulation studies show that the proposed design has good operating characteristics. This method is going to be applied in more than two phase I clinical trials as no other method is available for this specific setting. We also provide an R package dfmta that can be downloaded from CRAN website.
© The Author(s) 2016.

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This study aimed to identify providers involved in diagnosing ankylosing spondylitis (AS) following back pain diagnosis in the USA and to identify factors leading to the delay in rheumatology referrals. The Truven Health MarketScan US Commercial Database was searched for patients aged 18-64 years with back pain diagnosis in a non-rheumatology setting followed by AS diagnosis in any setting during January 2000-December 2012. Patients with a rheumatologist visit on or before AS diagnosis were considered referred. Cox regression was used to determine factors associated with referral time after adjusting for age, sex, comorbidities, physician specialty, drug therapy, and imaging procedures. Of 3336 patients included, 1244 (37 %) were referred to and diagnosed by rheumatologists; the others were diagnosed in primary care (25.7 %), chiropractic/physical therapy (7 %), orthopedic surgery (3.8 %), pain clinic (3.6 %), acute care (3.4 %), and other (19.2 %) settings. Median time from back pain diagnosis to rheumatology referral was 307 days and from first rheumatologist visit to AS diagnosis was 28 days. Referred patients were more likely to be younger (hazard ratio [HR] = 0.986; p < 0.0001), male (HR = 1.15; p = 0.0163), diagnosed with uveitis (HR = 1.49; p = 0.0050), referred by primary care physicians (HR = 1.96; p < 0.0001), prescribed non-steroidal anti-inflammatory drugs (HR = 1.55; p < 0.0001), disease-modifying antirheumatic drugs (HR = 1.33; p < 0.0001), and tumor necrosis factor inhibitors (HR = 1.40; p = 0.0036), and to have had spinal/pelvic X-ray prior to referral (HR = 1.28; p = 0.0003). During 2000-2012, most patients with AS were diagnosed outside of rheumatology practices. The delay before referral to rheumatology was 10 months; AS diagnosis generally followed within a month. Earlier referral of patients with AS signs and symptoms may lead to more timely diagnosis and appropriate treatment.

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