A double-blind, placebo-controlled, single-ascending dose study to evaluate the safety, tolerability, pharmacokinetics, and pharmacodynamics of HM15136, a novel long-acting glucagon analogue, in healthy subjects.

AIM: To evaluate the safety and tolerability, pharmacokinetics, and pharmacodynamics of HM15136, a novel long-acting glucagon analogue under development, in healthy males and females presenting with no childbearing potential. MATERIALS AND METHODS: A randomized, double-blind, placebo-controlled, single-ascending dose study was conducted in 56 subjects who randomly received a single subcutaneous dose of HM15136 or its matching placebo at a ratio of 6:2 at 10, 20, 30, 50, 80, 100, and 120 µg/kg. RESULTS: All adverse events were mild and transient. Neither serious adverse events nor discontinuation as a result of adverse events occurred. The most frequent adverse drug reaction was nausea (5.3%, only in the 100- and 120-µg/kg groups). HM15136, particularly at doses of 50 µg/kg or higher, increased fasting blood glucose, with a maximum increase and area under the curve of 1.5 mmol/L at day 10 (P = .006) and 166.3 day·mmol/L (P = .022) at the dose of 80 µg/kg, while suppressing the secretion of endogenous glucagon, which continued until day 17. HM15136 also significantly reduced gluconeogenic and ketogenic amino acids. Compensatory changes in endogenous insulin and incretin hormones by HM15136 were not apparent. HM15136 was slowly but steadily absorbed and reached a peak concentration at 46-68 hours after a single subcutaneous injection. HM15136 was eliminated with a terminal phase half-life of 77.1-101.1 hours. CONCLUSIONS: A single subcutaneous dose of HM15136 at 10-120 µg/kg was safe and well tolerated. The long half-life of HM15136, coupled with an increase in blood glucose for ~2 weeks, may warrant a weekly dosing regimen.

An annotated corpus from biomedical articles to construct a drug-food interaction database.

MOTIVATION: While drug-food interaction (DFI) may undermine the efficacy and safety of drugs, DFI detection has been difficult because a well-organized database for DFI did not exist. To construct a DFI database and build a natural language processing system extracting DFI from biomedical articles, we formulated the DFI extraction tasks and manually annotated texts that could have contained DFI information. In this article, we introduced a new annotated corpus for extracting DFI, the DFI corpus. RESULTS: The DFI corpus contains 2270 abstracts of biomedical articles accessible through PubMed and 2498 sentences that contain DFI and/or drug-drug information (DDI), a substantial amount of information about drug/food entities, evidence-levels of abstracts and relations between named entities. BERT models pre-trained on the biomedical domain achieved a F1 score 55.0% in extracting DFI key-sentences. To the best of our knowledge, the DFI corpus is the largest public corpus for drug-food interaction. AVAILABILITY AND IMPLEMENTATION: Our corpus is available at https://github.com/ccadd-snu/corpus-for-DFI-extraction.

Mechanisms Driving Immune-Related Adverse Events in Cancer Patients Treated with Immune Checkpoint Inhibitors.

PURPOSE OF REVIEW: In the past decade, immune checkpoint inhibitors (ICIs) have revolutionized the field of cancer treatment. With the continuing rise in the number of cancer patients eligible for ICIs, a corresponding rise in immune-related adverse events (irAEs) is occurring. IrAEs are inflammatory reactions against normal, healthy tissue that occur due to ICI-induced activation of the immune system. Although the exact immune pathogenesis driving irAE development remains unknown, we review the main proposed mechanisms, highlighting how they may inform irAE prediction and treatment. RECENT FINDINGS: IrAEs are common and diverse, varying in incidence, timing, and severity. The possible mechanisms driving irAEs include (1) activation of cytotoxic T cells; (2) activation of B cells and increased autoantibody production; (3) direct molecular mimicry and off-target toxicity; (4) activation of intracellular signaling and pro-inflammatory cytokine production; and (5) environmental modifiers of immune system activation, including composition of the host gut microbiome. These mechanisms may help identify predictive biomarkers and targeted treatment strategies. IrAEs are driven by multiple components of the immune system. More research is needed to understand their immunopathogenesis so that clinicians across all specialties may more effectively monitor and manage these increasingly common conditions.

Can the COVID-19 Pandemic Disrupt the Current Drug Development Practices?

Therapeutics and vaccines against the COVID-19 pandemic need to be developed rapidly and efficiently, given its severity. To maximize the efficiency and productivity of drug development, the world has adopted disruptive technologies and approaches in various drug development areas. Telehealth, characterized by the heavy use of digital technologies; drug repositioning strategies, aided by computational breakthroughs; and data tracking tool hubs, enabling real-time information sharing, have received much attention. Moreover, drug developers have engaged in open innovation by establishing various types of collaborations, many of which have been carried out across nations and enterprises. Finally, regulatory agencies have attempted to operate on a more flexible review basis than before. Although such disruptive approaches have partly reshaped drug development practices, issues and challenges remain before the completion of this paradigm shift in conventional drug development practices for the post-pandemic era. In this review, we have highlighted the role of a collaborative community of experts in order to figure out how disruptive technologies can be fully integrated into the current drug development practices and improve drug development efficiency for the post-pandemic era.

Safety, tolerability and pharmacokinetics and pharmacodynamics of HL2351, a novel hybrid fc-fused interleukin-1 receptor antagonist, in healthy subjects: A first-in-human study.

AIMS: We performed a first-in-human study with HL2351, a novel hybrid Fc-fused interleukin (IL)-1 receptor antagonist, to evaluate its tolerability, pharmacokinetics and pharmacodynamics (PD) after a single subcutaneous (SC) administration in healthy subjects. METHODS: A randomized, double-blind, placebo- and active-controlled, dose-escalation study was conducted. Eligible subjects randomly received a single SC administration of HL2351 (1, 2, 4, 8 and 12 mg/kg) or placebo in a ratio of 8:2. Subjects in the active-controlled group received a single SC administration of anakinra at 100 mg. Serial blood samples were collected for pharmacokinetics and PD analyses. An ex-vivo activation test was performed to evaluate the PD using peripheral blood mononuclear cells treated with IL-1ß. Anti-HL2351 antibodies were determined at baseline and 29 days postdose. Tolerability was assessed throughout the study. RESULTS: HL2351 was eliminated more slowly than anakinra (terminal half-life: 27.21-45.28 vs 3.97 h). Serum concentrations of HL2351 were increased dose-proportionally. The mean apparent clearance of HL2351 were 0.6, 0.66, 0.75, 0.51, 0.65 L/h at 1, 2, 4, 8 and 12 mg/kg, respectively. The percent inhibition of IL-6 expression varied widely (range: 0-92.1%), showing no clear trend or discernible difference between HL2351, anakinra and placebo. HL2351 was well tolerated after a single SC administration. CONCLUSION: HL2351 was well tolerated and showed linear pharmacokinetic characteristics after a single SC administration at doses up to 12 mg/kg in healthy subjects. HL2351 remained in the body 7-11 times longer than anakinra. HL2351 can be developed as a potential therapeutic alternative to anakinra.

Simulation-Based Course Improves Resident Comfort, Knowledge, and Ability to Manage Surgical Intensive Care Unit Patients.

BACKGROUND: Simulation-based education can augment residents' skills and knowledge. We assessed the effectiveness of a simulation-based course for surgery interns designed to improve their comfort, knowledge, and ability to manage common surgical critical care (SCC) conditions. MATERIALS AND METHODS: For 2 y, all first year residents (n = 31) in general surgery, urology, interventional radiology, and the integrated plastics, vascular, and cardiothoracic surgery training programs at our institution participated in a simulation-based course emphasizing evidence-based management of SCC conditions. Precourse and postcourse surveys and multiple-choice tests, as well as summative simulation tests, assessed interns' comfort, knowledge, and ability to manage SCC conditions. Changes in these measures were assessed with Wilcoxon matched-pairs signed rank tests. Factors associated with summative performance were determined by linear regression. RESULTS: The course consisted of four simulation-based teaching sessions in year 1 and six in year 2. The course taught seven of the 18 core SCC conditions in the Surgical Council on Resident Education general surgery curriculum in year 1 and 10 in year 2. Interns' self-reported comfort, knowledge, and ability to manage each condition taught in the course increased (P < 0.02). Their knowledge of each condition, as assessed by written tests, also increased (P < 0.02). Their summative simulation test performance correlated with the number of course sessions attended (P < 0.03) and status as general surgery residents (P < 0.01). CONCLUSIONS: A simulation-based SCC training course for surgery interns that emphasizes evidence-based management of SCC conditions improves interns' comfort, knowledge, and ability to manage these conditions.

The Current Status of Drug Repositioning and Vaccine Developments for the COVID-19 Pandemic.

Since the outbreak of coronavirus disease 2019 (COVID-19) was first identified, the world has vehemently worked to develop treatments and vaccines against severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) at an unprecedented speed. Few of the repositioned drugs for COVID-19 have shown that they were efficacious and safe. In contrast, a couple of vaccines against SARS-CoV-2 will be ready for mass rollout early next year. Despite successful vaccine development for COVID-19, the world will face a whole new set of challenges including scale-up manufacturing, cold-chain logistics, long-term safety, and low vaccine acceptance. We highlighted the importance of knowledge sharing and collaboration to find innovative answers to these challenges and to prepare for newly emerging viruses.

A Machine Learning-Based Identification of Genes Affecting the Pharmacokinetics of Tacrolimus Using the DMETTM Plus Platform.

Tacrolimus is an immunosuppressive drug with a narrow therapeutic index and larger interindividual variability. We identified genetic variants to predict tacrolimus exposure in healthy Korean males using machine learning algorithms such as decision tree, random forest, and least absolute shrinkage and selection operator (LASSO) regression. rs776746 (CYP3A5) and rs1137115 (CYP2A6) are single nucleotide polymorphisms (SNPs) that can affect exposure to tacrolimus. A decision tree, when coupled with random forest analysis, is an efficient tool for predicting the exposure to tacrolimus based on genotype. These tools are helpful to determine an individualized dose of tacrolimus.

A First-in-Human Phase I Study of GC1118, a Novel Anti-Epidermal Growth Factor Receptor Antibody, in Patients with Advanced Solid Tumors.

LESSONS LEARNED: GC1118 is a novel fully human anti-epidermal growth factor receptor (EGFR) antibody with unique binding epitopes and different ligand-binding inhibitory activity compared with cetuximab or panitumumab.GC1118 showed promising antitumor activity, especially in patients with colorectal cancer resistant to prior EGFR antibody. Skin toxicities were more common and diarrhea was less frequent compared with other anti-EGFR antibodies. BACKGROUND: GC1118 is a novel monoclonal antibody targeting epidermal growth factor receptor (EGFR) with more potent ligand inhibition than cetuximab or panitumumab. We conducted a first-in-human, phase I study of GC118 in patients with refractory solid tumors. METHODS: In the dose escalation part, GC1118 was administered on days 1, 8, 15, and 22, followed by a 2-week rest, during which dose-limiting toxicities (DLTs) were evaluated. In the expansion part, patients were enrolled into three cohorts (Cohort 1 [C1], patients with colorectal cancer [CRC] without prior anti-EGFR treatment; Cohort 2 [C2], patients with CRC with tumors resistant to anti-EGFR therapy; Cohort 3 [C3], EGFR-overexpressing gastric cancer). RESULTS: In the dose escalation part, 24 patients were treated at five dose levels: 0.3, 1.0, 3.0, 4.0, and 5.0 mg/kg. In the 5.0 mg/kg cohort, two patients experienced DLTs (skin toxicities). The maximum-tolerated dose (MTD) was 4.0 mg/kg. Common adverse events were skin toxicities. In the expansion part, 39 patients were enrolled. In Cohort 1, stable disease (SD) was observed in 58%; in Cohort 2, partial response (PR) 17% and SD 8%; in Cohort 3, PR 8% and SD 17%. CONCLUSION: GC1118 showed promising antitumor activity and was well tolerated. Infrequent diarrhea compared with other anti-EGFR antibodies might be advantageous for further development.

URC102, a potent and selective inhibitor of hURAT1, reduced serum uric acid in healthy volunteers.

OBJECTIVE: URC102, a novel and potent inhibitor of human uric acid transporter 1 (hURAT1), is currently under clinical development to treat patients with gout. We performed a randomized, double-blind, placebo-controlled, phase I study to evaluate the safety, tolerability, pharmacodynamic, and pharmacokinetic profiles of URC102 after single and multiple oral administration in healthy male subjects. METHODS: Thirty-one Koreans and 23 Caucasians received a single dose of URC102 at 1-30 mg and 1-10 mg, respectively, while 44 Koreans received URC102 once-daily for 7 days at 1-20 mg. We evaluated safety and tolerability throughout the study, and serially determined serum uric acid, the fractional excretion of uric acid and URC102 concentrations. RESULTS: URC102 was well tolerated over the dose range of 1-10 mg after single and multiple administration. URC102 rapidly reduced serum uric acid, which was maintained over the entire treatment period. Furthermore, URC102 increased the area-under-the-effect curve over 168 h for fractional excretion of uric acid in a dose-dependent manner. The maximum plasma concentration and the area under the plasma concentration-time curve of URC102 increased dose-proportionally. The pharmacokinetic and pharmacodynamics characteristics of URC102 were similar in Koreans and Caucasians. CONCLUSION: URC102 was safe and effectively lowered serum uric acid, which should be tested and confirmed in patients with hyperuricaemia and/or gout through further studies. TRIAL REGISTRATION: ClinicalTrials.gov, www.clinicaltrials.gov, NCT01953497 and NCT02524678.

Development of a Korean-specific virtual population for physiologically based pharmacokinetic modelling and simulation.

Physiologically based pharmacokinetic (PBPK) modelling and simulation is a useful tool in predicting the PK profiles of a drug, assessing the effects of covariates such as demographics, ethnicity, genetic polymorphisms and disease status on the PK, and evaluating the potential of drug-drug interactions. We developed a Korean-specific virtual population for the SimCYP® Simulator (version 15 used) and evaluated the population's predictive performance using six substrate drugs (midazolam, S-warfarin, metoprolol, omeprazole, lorazepam and rosuvastatin) of five major drug metabolizing enzymes (DMEs) and two transporters. Forty-three parameters including the proportion of phenotypes in DMEs and transporters were incorporated into the Korean-specific virtual population. The simulated concentration-time profiles in Koreans were overlapped with most of the observed concentrations for the selected substrate drugs with a < 2-fold difference in clearance. Furthermore, we found some drug models within the SimCYP® library can be improved, e.g., the minor allele frequency of ABCG2 and the fraction metabolized by UGT2B15 should be incorporated for rosuvastatin and lorazepam, respectively. The Korean-specific population can be used to evaluate the impact of ethnicity on the PKs of a drug, particularly in various stages of drug development.

Validation of the Hong Kong Liver Cancer Staging System in Determining Prognosis of the North American Patients Following Intra-arterial Therapy.

BACKGROUND & AIMS: There is debate over the best way to stage hepatocellular carcinoma (HCC). We attempted to validate the prognostic and clinical utility of the recently developed Hong Kong Liver Cancer (HKLC) staging system, a hepatitis B-based model, and compared data with that from the Barcelona Clinic Liver Cancer (BCLC) staging system in a North American population that underwent intra-arterial therapy (IAT). METHODS: We performed a retrospective analysis of data from 1009 patients with HCC who underwent IAT from 2000 through 2014. Most patients had hepatitis C or unresectable tumors; all patients underwent IAT, with or without resection, transplantation, and/or systemic chemotherapy. We calculated HCC stage for each patient using 5-stage HKLC (HKLC-5) and 9-stage HKLC (HKLC-9) system classifications, and the BCLC system. Survival information was collected up until the end of 2014 at which point living or unconfirmed patients were censored. We compared performance of the BCLC, HKLC-5, and HKLC-9 systems in predicting patient outcomes using Kaplan-Meier estimates, calibration plots, C statistic, Akaike information criterion, and the likelihood ratio test. RESULTS: Median overall survival time, calculated from first IAT until date of death or censorship, for the entire cohort (all stages) was 9.8 months. The BCLC and HKLC staging systems predicted patient survival times with significance (P < .001). HKLC-5 and HKLC-9 each demonstrated good calibration. The HKLC-5 system outperformed the BCLC system in predicting patient survival times (HKLC C = 0.71, Akaike information criterion = 6242; BCLC C = 0.64, Akaike information criterion = 6320), reducing error in predicting survival time (HKLC reduced error by 14%, BCLC reduced error by 12%), and homogeneity (HKLC chi-square = 201, P < .001; BCLC chi-square = 119, P < .001) and monotonicity (HKLC linear trend chi-square = 193, P < .001; BCLC linear trend chi-square = 111, P < .001). Small proportions of patients with HCC of stages IV or V, according to the HKLC system, survived for 6 months and 4 months, respectively. CONCLUSIONS: In a retrospective analysis of patients who underwent IAT for unresectable HCC, we found the HKLC-5 staging system to have the best combination of performances in survival separation, calibration, and discrimination; it consistently outperformed the BCLC system in predicting survival times of patients. The HKLC system identified patients with HCC of stages IV and V who are unlikely to benefit from IAT.

High Throughput Screening Method for Systematic Surveillance of Drugs of Abuse by Multisegment Injection-Capillary Electrophoresis-Mass Spectrometry.

New technologies are urgently required for reliable drug screening given a worldwide epidemic of prescription drug abuse and its devastating socioeconomic impacts on public health. Primary screening of drugs of abuse (DoA) currently relies on immunoassays that are prone to bias and are not applicable to detect an alarming array of psychoactive stimulants, tranquilizers, and synthetic opioids. These limitations impact patient safety when monitoring for medication compliance, drug substitution, or misuse/abuse and require follow-up confirmatory testing by more specific yet lower throughput instrumental methods. Herein, we introduce a high throughput platform for nontargeted screening of a broad spectrum of DoA and their metabolites based on multisegment injection-capillary electrophoresis-mass spectrometry (MSI-CE-MS). We demonstrate that MSI-CE-MS enables serial injections of 10 samples within a single run (<3 min/sample) where multiplexed electrophoretic separations are coupled to high resolution MS with full-scan data acquisition. Unambiguous drug identification was achieved by four or more independent parameters, including comigration with a deuterated internal standard or in silico prediction of electromigration behavior together with accurate mass, most likely molecular formula, as well as MS/MS as required for confirmation testing. Acceptable precision was demonstrated for over 50 DoA at 3 concentration levels over 4 days (median coefficient of variance = 13%, n = 117) with minimal ion suppression, isobaric interferences, and sample carry-over (<1%). This approach offers a rapid yet accurate method for simultaneous detection and identification of DoA at their recommended screening cutoff levels in human urine while allowing for systematic surveillance, specimen verification, and retrospective testing of designer drugs that elude conventional drug tests.

Advanced-stage hepatocellular carcinoma with portal vein thrombosis: conventional versus drug-eluting beads transcatheter arterial chemoembolization.

OBJECTIVES: Our study sought to compare the overall survival in patients with hepatocellular carcinoma (HCC) and portal venous thrombosis (PVT), treated with either conventional trans-arterial chemoembolization (cTACE) or drug-eluting beads (DEB) TACE. METHODS: This retrospective analysis included a total of 133 patients, treated without cross-over and compared head-to-head by means or propensity score weighting. Mortality was compared using survival analysis upon propensity score weighting. Adverse events and liver toxicity grade ≥3 were recorded and reported for each TACE. In order to compare with historical sorafenib studies, a sub-group analysis was performed and included patients who fulfilled the SHARP inclusion criteria. RESULTS: The median overall survival (MOS) of the entire cohort was 4.53 months (95 % CI, 3.63-6.03). MOS was similar across treatment arms, no significant difference between cTACE (N = 95) and DEB-TACE (N = 38) was observed (MOS of 5.0 vs. 3.33 months, respectively; p = 0.157). The most common adverse events after cTACE and DEB- TACE, respectively, were as follows: post-embolization syndrome [N = 57 (30.0 %) and N = 38 (61.3 %)], diarrhea [N = 3 (1.6 %) and N = 3 (4.8 %)], and encephalopathy [N = 11 (5.8 %) and N = 2 (3.2 %)]. CONCLUSION: Our retrospective study could not reveal a difference in toxicity and efficiency between cTACE and DEB-TACE for treatment of advanced stage HCC with PVT. KEY POINTS: • Conventional TACE (cTACE) and drug-eluting-beads TACE (DEB-TACE) demonstrated equal safety profiles. • Survival rates after TACE are similar to patients treated with sorafenib. • Child-Pugh class and tumor burden are reliable predictors of survival.

Pediatric patients undergoing hematopoietic stem cell transplantation can greatly benefit from a novel once-daily intravenous busulfan dosing nomogram.

Busulfan, a bifunctional alkylating agent, has been used as a conditioning regimen prior to allogeneic hematopoietic stem cell transplantation (HSCT). The aim of this study was to derive a novel once-daily intravenous (IV) busulfan dosing nomogram for pediatric patients undergoing HSCT using a population pharmacokinetic (PK) model. A population PK analysis was performed using 2183 busulfan concentrations in 137 pediatric patients (age: 0.6-22.2 years), who received IV busulfan once-daily for 4 days before undergoing HSCT. Based on the final population PK model, an optimal once-daily IV busulfan dosing nomogram was derived. The percentage of simulated patients achieving the daily target area under the concentration-time curve (AUC) by the new nomogram was compared with that by other busulfan dosing regimens including the FDA regimen, the EMA regimen, and the empirical once-daily regimen without therapeutic drug monitoring (TDM). A one-compartment open linear PK model incorporating patient's body surface area, age, dosing day, and aspartate aminotransferase as a significant covariate adequately described the concentration-time profiles of busulfan. An optimal dosing nomogram based on the PK model performed significantly better than the other dosing regimens, resulting in >60% of patients achieving the target AUC while the percentage of patients exceeding the toxic AUC level was kept <25% during the entire treatment period. A novel once-daily busulfan dosing nomogram for pediatric patients undergoing HSCT is useful for clinicians, particularly in a setting where TDM service is not readily available or to optimize the dose on day 1.

Comparison of Existing Response Criteria in Patients with Hepatocellular Carcinoma Treated with Transarterial Chemoembolization Using a 3D Quantitative Approach.

PURPOSE: To compare currently available non-three-dimensional methods (Response Evaluation Criteria in Solid Tumors [RECIST], European Association for Study of the Liver [EASL], modified RECIST [mRECIST[) with three-dimensional (3D) quantitative methods of the index tumor as early response markers in predicting patient survival after initial transcatheter arterial chemoembolization (TACE). MATERIALS AND METHODS: This was a retrospective single-institution HIPAA-compliant and institutional review board-approved study. From November 2001 to November 2008, 491 consecutive patients underwent intraarterial therapy for liver cancer with either conventional TACE or TACE with drug-eluting beads. A diagnosis of hepatocellular carcinoma (HCC) was made in 290 of these patients. The response of the index tumor on pre- and post-TACE magnetic resonance images was assessed retrospectively in 78 treatment-naïve patients with HCC (63 male; mean age, 63 years ± 11 [standard deviation]). Each response assessment method (RECIST, mRECIST, EASL, and 3D methods of volumetric RECIST [vRECIST] and quantitative EASL [qEASL]) was used to classify patients as responders or nonresponders by following standard guidelines for the uni- and bidimensional measurements and by using the formula for a sphere for the 3D measurements. The Kaplan-Meier method with the log-rank test was performed for each method to evaluate its ability to help predict survival of responders and nonresponders. Uni- and multivariate Cox proportional hazard ratio models were used to identify covariates that had significant association with survival. RESULTS: The uni- and bidimensional measurements of RECIST (hazard ratio, 0.6; 95% confidence interval [CI]: 0.3, 1.0; P = .09), mRECIST (hazard ratio, 0.6; 95% CI: 0.6, 1.0; P = .05), and EASL (hazard ratio, 1.1; 95% CI: 0.6, 2.2; P = .75) did not show a significant difference in survival between responders and nonresponders, whereas vRECIST (hazard ratio, 0.6; 95% CI: 0.3, 1.0; P = .04), qEASL (Vol) (hazard ratio, 0.5; 95% CI: 0.3, 0.9; P = .02), and qEASL (%) (hazard ratio, 0.3; 95% CI: 0.15, 0.60; P < .001) did show a significant difference between these groups. CONCLUSION: The 3D-based imaging biomarkers qEASL and vRECIST were tumor response criteria that could be used to predict patient survival early after initial TACE and enabled clear identification of nonresponders.

Radiologic-pathologic analysis of quantitative 3D tumour enhancement on contrast-enhanced MR imaging: a study of ROI placement.

OBJECTIVES: To investigate the influence of region-of-interest (ROI) placement on 3D tumour enhancement [Quantitative European Association for the Study of the Liver (qEASL)] in hepatocellular carcinoma (HCC) patients treated with transcatheter arterial chemoembolization (TACE). METHODS: Phase 1: 40 HCC patients had nine ROIs placed by one reader using systematic techniques (3 ipsilateral to the lesion, 3 contralateral to the lesion, and 3 dispersed throughout the liver) and qEASL variance was measured. Intra-class correlations were computed. Phase 2: 15 HCC patients with histosegmentation were selected. Six ROIs were systematically placed by AC (3 ROIs ipsilateral and 3 ROIs contralateral to the lesion). Three ROIs were placed by 2 radiologists. qEASL values were compared to histopathology by Pearson's correlation, linear regression, and median difference. RESULTS: Phase 1: The dispersed method (abandoned in phase 2) had low consistency and high variance. Phase 2: qEASL correlated strongly with pathology in systematic methods [Pearson's correlation coefficient = 0.886 (ipsilateral) and 0.727 (contralateral)] and in clinical methods (0.625 and 0.879). However, ipsilateral placement matched best with pathology (median difference: 5.4 %; correlation: 0.89; regression CI: [0.904, 0.1409]). CONCLUSIONS: qEASL is a robust method with comparable values among tested placements. Ipsilateral placement showed high consistency and better pathological correlation. KEY POINTS: Ipsilateral and contralateral ROI placement produces high consistency and low variance. Both ROI placement methods produce qEASL values that correlate well with histopathology. Ipsilateral ROI placement produces best correlation to pathology along with high consistency.

Temporal Trends of Cardiac Chambers Function with Trastuzumab in Human Epidermal Growth Factor Receptor II-Positive Breast Cancer Patients.

BACKGROUND: Trastuzumab has substantially improved overall survival and reduced the risk of disease recurrence in patients with human epidermal growth factor receptor type II (HER-II)-positive breast cancer. However, this benefit may be at the increased risk of cardiotoxicity. We aimed to explore the early subclinical left and right ventricular as well as atrial dysfunction, in trastuzumab-treated patients with HER-II-positive breast cancer, using velocity vector imaging. METHODS: Echocardiography images were acquired in 50 patients with HER-II-positive breast cancer undergoing trastuzumab therapy. All patients had baseline and 3-6 months and 12-15 months of follow-up echocardiograms after initiation of trastuzumab therapy. Subendocardial borders of all the cardiac chambers were traced from the apical views to obtain volumetric and deformation indices. RESULTS: Mean age was 60 ± 13 years. Left ventricular (LV) ejection fraction as well as conventional indices of right ventricular (RV) function did not change with trastuzumab. The RV peak systolic global longitudinal strain (GLε) significantly decreased (-24.53 ± 6.03 vs. -21.28 ± 5.11 vs. -21.84 ± 5.15, baseline vs. first and second follow-ups, P = 0.01). LV peak systolic GLε was reduced by 1.19 at early follow-up (P < 0.05). Left atrial reservoir and booster pump functions as well as right atrial reservoir function were reduced through follow-up as well. CONCLUSIONS: The RV exhibited greater change in strain after trastuzumab treatment when compared to the LV. Atria function was reduced by trastuzumab as well. The repercussion of these findings and their potential implication will warrant further study.

Predictors of incipient dysfunction of all cardiac chambers after treatment of metastatic renal cell carcinoma by tyrosine kinase inhibitors.

PURPOSE: We aimed to explore the hypothesis that early subclinical cardiac chamber dysfunction secondary to tyrosine kinase inhibitors (TKIs) in patients with metastatic renal cell carcinoma could be signaled by abnormal cardiac mechanics demonstrated by velocity vector imaging. METHODS: Echocardiographic images were acquired from the apical views in 23 metastatic renal cell carcinoma patients. All patients had baseline and at least a 3-month follow-up echocardiogram after receiving TKI therapy. Subendocardial borders of all the cardiac chambers were traced to obtain volumetric and deformation indices. RESULTS: Mean age was 67 ± 9 years with 92% men. The right ventricle peak systolic global longitudinal strain (GLɛ) and strain rate were significantly lower after TKIs (-23.49 ± 5.1 versus -19.81 ± 5.5, p = 0.002 and -1.52 ± 0.52 versus -1.24 ± 0.35 p = 0.02, respectively). LV GLɛ was not statistically different. Volumetric and deformation indices showed a minimal decrease of the right atrium reservoir and conduit functions, and no significant changes of left atrial function. CONCLUSIONS: The right heart exhibited greater strain changes than the left heart after TKI treatment. The implications of these findings and their potential significance warrant further work.