: The current standard approach to the treatment of patients with non-small-cell lung cancer (NSCLC) harboring epidermal growth factor receptor tyrosine kinase inhibitor (EGFR-TKI)-sensitizing mutations has been the treatment with a first-generation EGFR-TKIs. While, with resistance developed against first-generation EGFR-TKIs, second/third-generation TKIs have attracted all the attention, and replaced first-generation EGFR- TKIs upon disease progression due to the greater efficacy and more favorable tolerability. In the past few years, this strategy has been challenged by clinical evidence when next-generation EGFR-TKIs are used in patients with advanced NSCLC.
View Article and Find Full Text PDFComb Chem High Throughput Screen
July 2019
Objective: To determine the levels of α-1 acid glycoprotein (ORM1) in the sera of advanced lung adenocarcinoma (LUAD) patients with epidermal growth factor receptor (EGFR) mutation before treatment and after acquirement of EGFR tyrosine kinase inhibitor (EGFR-TKI) resistance, and to explore the clinical cut off value of ORM1 for targeted therapy resistance in LUAD.
Methods: Enzyme-linked immunosorbent assay was used to determine serum ORM1 levels. Receiver operating characteristic curve was applied to evaluate the serum ORM1 level in the resistance of EGFR-TKI and the cut off value of ORM1 for the diagnosis of EGFR-TKI resistance.
Background: To study the protein profile of the serum exosomes of patients with coronary artery aneurysms (CAA) caused by Kawasaki disease (KD).
Methods: Two-dimensional electrophoresis (2-DE) was used to identify proteins from the exosomes of serum obtained from children with CAA caused by KD, as well as healthy controls. Differentially expressed proteins were identified using matrix-assisted laser desorption/ionization time-of-flight/timeof-flight mass spectrometry (MALDI-TOF/TOF MS) analysis.
Although Kawasaki disease is the main cause of acquired heart disease in children, no diagnostic biomarkers are available. We aimed to identify candidate biomarkers for diagnosing Kawasaki disease using serum exosomal microRNAs (miRNAs). Using frozen serum samples from a biobank, high-throughput microarray technologies, two-stage real-time quantitative PCR, and a self-referencing strategy for data normalization, we narrowed down the list of biomarker candidates to a set of 4 miRNAs.
View Article and Find Full Text PDFIntroduction: The aim of this study was to investigate the serum exosome proteome profile of coronary artery dilatation (CAD) caused by Kawasaki disease (KD).
Methods: Two-dimensional electrophoresis was implemented on proteins of serum exosomes obtained from children with CAD caused by KD and from healthy controls. Differentially expressed proteins were identified by matrix-assisted laser desorption/ionization time-of-flight/time-of-flight mass spectrometry analysis.
Background: Changes of miRNAs in exosome have been reported in different disease diagnosis and provided as potential biomarkers. In this study, we compared microRNA profile in exosomes in 5 MHFMD and 5 ESHFMD as well as in 5 healthy children.
Methods: Different expression of miRNAs in exosomes across all the three groups were screened using miRNA microarray method.
Objective: To explore the distribution characteristics of Chinese medicine (CM) syndromes and the rule of dynamic evolvement in patients with colorectal cancer at the perioperative period by applying a mathematical statistics methodology.
Methods: By using the overall sample date, and cross-sectional descriptive and prospective researching methods, the clinical data of CM symptoms of patients with colorectal cancer from the first day of preoperative care to the third, seventh, and tenth days after the operation were collected. The distribution characteristics of CM syndromes and dynamic evolution were concluded upon by experts, and then by building up a database through the use of EpiData3.
Biochem Biophys Res Commun
April 2014
Background: To clarify the molecular mechanisms that participate in the severe hand, foot and mouth disease (HFMD) infected by Enterovirus 71 and to detect any related protein biomarkers, we performed proteomic analysis of protein extracts from 5 extremely severe HFMD children and 5 healthy children.
Methods: The protein profiles of them were compared using two-dimensional electrophoresis. Differentially expressed proteins were identified using mass spectrometry.