Search

Purpose Neoadjuvant CT-P6, a trastuzumab biosimilar, demonstrated equivalent efficacy to reference trastuzumab in a phase 3 trial of HER2-positive early-stage breast cancer (EBC) (NCT02162667). We report post hoc analyses evaluating pathological complete response (pCR) and breast pCR alongside additional efficacy and safety measures. Methods Following neoadjuvant treatment and surgery, patients received adjuvant CT-P6 or trastuzumab (6 mg/kg) every 3 weeks for ≤ 1 year. Results In total, 271 and 278 patients received CT-P6 and trastuzumab, respectively. pCR and breast pCR rates were comparable between treatment groups regardless of age, region, or clinical stage. Overall, 47.6% (CT-P6) and 52.2% (trastuzumab) of patients experienced study drug-related treatment-emergent adverse events (TEAEs), including 17 patients reporting heart failure (CT-P6: 10; trastuzumab: 7). Two CT-P6 and three trastuzumab patients discontinued adjuvant treatment due to TEAEs. Conclusion Adjuvant CT-P6 demonstrated comparable efficacy and safety to trastuzumab at 1 year in patients with HER2-positive EBC, supporting CT-P6 and trastuzumab comparability. Electronic supplementary material The online version of this article (10.1007/s00280-019-03920-4) contains supplementary material, which is available to authorized users.

Breast cancer is a common to females worldwide. Today, technological advancements in cancer treatment innovations have increased the survival rates. Many theoretical and experimental studies have shown that a multiple classifier system is an effective technique for reducing prediction errors. This study compared the particle swarm optimizer (PSO) based artificial neural network (ANN), the adaptive neuro-fuzzy inference system (ANFIS), and a case-based reasoning (CBR) classifier with a logistic regression model and decision tree model. It also applied three classification techniques to the Mammographic Mass Data Set, and measured its improvements in accuracy and classification errors. The experimental results showed that, the best CBR-based classification accuracy is 83.60%, and the classification accuracies of the PSO-based ANN classifier and ANFIS are 91.10% and 92.80%, respectively.

A method for automatically extracting the machining features from 3D CSG solid input is proposed. The method involves converting a part's CSG tree representation into its equivalent DSG tree representation and then identifying the types of machinable features from the DSG tree. A DSG tree is a special case of CSG tree in which all geometric operations are of ‘difference’ type. The method is proposed for recognizing prismatic part features and its outputs contain feature attributes and possible tooling entrance faces, etc. Computer simulation is provided to illustrate the proposed method.

15533 Background: Fluoropyrimidines (F) and taxanes (T) are globally approved for the 1st line treatment of AGC, but no standard chemotherapy has been defined for second line treatment. VFL is a no...

Hospital researchers have been developing methodologies for isolating and culturing cardiomyocytes from the ventricular myocardium. One intention is to use these cells as a base to grow replacement cardiac tissue for patients with scarred, non-conductive cardiac tissue. In addition, an in vivo model for studying cardiac tissues was also desired. Researchers were seeking a system to non-invasively monitor the electrical activity of these cardiac cells in the laboratory under normal and drug-influenced conditions. In this work, electrograms were acquired from the electrical activity generated by spontaneously contracting fetal rat cardiac cells cultured in a Petri dish. Electrograms were acquired with probes in contact with or less than 200 microns above the surface of the cells. Unipolar electrograms of Signals up to 120 /spl mu/V peak-to-peak were measured. Different waveform and contraction rates from 5 to 136 beats/min. were measured. The variety and complexity of the waveforms observed are considered to be due to the degree of heterogeneity of intercellular coupling of the underlying tissue. Temperature and drug effects on cardiac cell activity were also monitored.