Multi-modality molecular imaging for gastric cancer research

2011 ◽  
Author(s):  
Jimin Liang ◽  
Xueli Chen ◽  
Junting Liu ◽  
Hao Hu ◽  
Xiaochao Qu ◽  
...  
Keyword(s):  
Gastric Cancer ◽  
Cancer Research ◽  
Molecular Imaging

MULTI-MODALITY MOLECULAR IMAGING FOR GASTRIC CANCER RESEARCH

2011 ◽  
Author(s):  
Jimin Liang ◽  
Xueli Chen ◽  
Junting Liu ◽  
Hao Hu ◽  
Xiaochao Qu ◽  
...  
Keyword(s):  
Gastric Cancer ◽  
Cancer Research ◽  
Molecular Imaging

scholarly journals Tumor invasion unit in gastric cancer revealed by QDs-based in situ molecular imaging and multispectral analysis

Biomaterials ◽  
2014 ◽  
Vol 35 (13) ◽  
pp. 4125-4132 ◽  
Author(s):  
Wen-Qing Hu ◽  
Min Fang ◽  
Hao-Liang Zhao ◽  
Shu-Guang Yan ◽  
Jing-Ping Yuan ◽  
...  
Keyword(s):  
Gastric Cancer ◽  
Molecular Imaging ◽  
Tumor Invasion ◽  
Multispectral Analysis

Gene expression profiling of Japanese gastric cancer patinets using Asian Cancer Research Group classification.

2016 ◽  
Vol 34 (4_suppl) ◽  
pp. 72-72
Author(s):  
Masanori Terashima ◽  
Rie Makuuchi ◽  
Masanori Tokunaga ◽  
Yutaka Tanizawa ◽  
Etsuro Bando ◽  
...  
Keyword(s):  
Gene Expression ◽  
Gastric Cancer ◽  
Cancer Research ◽  
Gene Expression Profiling ◽  
Cancer Patients ◽  
Gene Expression Profile ◽  
Research Group ◽  
Expression Profiling ◽  
Advanced Stage ◽  
Macroscopic Type

72 Background: Gastric cancer is well known as having heterogeneous features. Recently, the Asian Cancer Research Group (AGRG) had proposed a new classification scheme based on the gene expression profile of the tumor. However, the genomi/expression profiling of gastric cancer in Japanese patients is still unknown. We started a comprehensive molecular profiling study that analyzes genome and transcriptome of tumor obtained from cancer patients admitted to Shizuoka Cancer Center from 2014. We already had evaluated more than 1,500 samples from various type of cancer. Among them, 104 gastric cancer patients were analyzed. Methods: Fresh surgically resected tumor/normal samples and peripheral blood were obtained and whole-exome sequencing (Ion Proton, Life Technologies) and gene expression profiling (DNA microarray, Agilent Technologies) were performed. Patients were grouped based on the gene expression profile according to AGRG classification, and clinicopathological features were compared among the group. Results: Patients were classified into MSI in 14, MSS/EMT in 15, MSS/TP53+ in 38 and MSS/TP53- in 37, respectively. There was no significant difference of sex among the group. Age was significantly younger in MSS/EMT and MSS/TP53-. In MSI, tumor tended to be located at antrum, and differentiated type tumor was predominant. In MSS/EMT, advanced T stage (T4) and undifferentiated type of tumor was predominant. In MSS/TP53+, relatively less advanced stage and localized macroscopic type tumor was predominant. In MSS/TP53-, relatively advanced stage and invasive macroscopic type tumor was predominant. Although the follow-up period is insufficient, relapse-free survival was the worst in MSS/EMT and no patient recurred in MSI. Conclusions: Classification of gene expression profiling based on ACRG was possible in Japanese gastric cancer. Distribution and tumor characteristics were almost identical to ACRG cohort. Gene -expression profiling may be comprehensively used for tumor classification and further clinical trials of molecular targeting agents.

scholarly journals Discovery of SLC3A2 Cell Membrane Protein as a Potential Gastric Cancer Biomarker: Implications in Molecular Imaging

2012 ◽  
Vol 11 (12) ◽  
pp. 5736-5747 ◽  
Author(s):  
Yixuan Yang ◽  
Weiyi Toy ◽  
Lee Yee Choong ◽  
Peiling Hou ◽  
Hassan Ashktorab ◽  
...  
Keyword(s):  
Gastric Cancer ◽  
Molecular Imaging ◽  
Cell Membrane ◽  
Membrane Protein ◽  
Cancer Biomarker ◽  
Cell Membrane Protein
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