Cautions should be taken when using cell models for gastric cancer research

Gene ◽  
2022 ◽  
Vol 806 ◽  
pp. 145922
Author(s):  
Siqi Cai ◽  
Dan Yao ◽  
Yuqi Zhang ◽  
Zhaohe Li ◽  
Xiaoyu Li ◽  
...  
Keyword(s):  
Gastric Cancer ◽  
Cancer Research ◽  
Cell Models

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.

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 Reproduction of the Cancer Genome Atlas (TCGA) and Asian Cancer Research Group (ACRG) Gastric Cancer Molecular Classifications and Their Association with Clinicopathological Characteristics and Overall Survival in Moroccan Patients

2021 ◽  
Vol 2021 ◽  
pp. 1-12
Author(s):  
Jean Paul Nshizirungu ◽  
Sanae Bennis ◽  
Ihsane Mellouki ◽  
Mohammed Sekal ◽  
Dafr-Allah Benajah ◽  
...  
Keyword(s):  
Gastric Cancer ◽  
Cancer Research ◽  
Overall Survival ◽  
Molecular Subtypes ◽  
Clinicopathological Features ◽  
The Cancer Genome Atlas ◽  
Cancer Genome Atlas ◽  
Gastric Cancer Patients ◽  
Genome Atlas ◽  
E Cadherin

Introduction. The Cancer Genome Atlas (TCGA) project and Asian Cancer Research Group (ACRG) recently categorized gastric cancer into molecular subtypes. Nevertheless, these classification systems require high cost and sophisticated molecular technologies, preventing their widespread use in the clinic. This study is aimed to generating molecular subtypes of gastric cancer using techniques available in routine diagnostic practice in a series of Moroccan gastric cancer patients. In addition, we assessed the associations between molecular subtypes, clinicopathological features, and prognosis. Methods. Ninety-seven gastric cancer cases were classified according to TCGA, ACRG, and integrated classifications using a panel of four molecular markers (EBV, MSI, E-cadherin, and p53). HER2 status and PD-L1 expression were also evaluated. These markers were analyzed using immunohistochemistry (E-cadherin, p53, HER2, and PD-L1), in situ hybridization (EBV and HER2 equivocal cases), and multiplex PCR (MSI). Results. Our results showed that the subtypes presented distinct clinicopathological features and prognosis. EBV-positive gastric cancers were found exclusively in male patients. The GS (TCGA classification), MSS/EMT (ACRG classification), and E-cadherin aberrant subtype (integrated classification) presented the Lauren diffuse histology enrichment and tended to be diagnosed at a younger age. The MSI subtype was associated with a better overall survival across all classifications (TCGA, ACRG, and integrated classification). The worst prognosis was observed in the EBV subtype (TCGA and integrated classification) and MSS/EMT subtype (ACRG classification). Discussion/Conclusion. We reported a reproducible and affordable gastric cancer subtyping algorithms that can reproduce the recently recognized TCGA, ACRG, and integrated gastric cancer classifications, using techniques available in routine diagnosis. These simplified classifications can be employed not only for molecular classification but also in predicting the prognosis of gastric cancer patients.

Sign in / Sign up

Export Citation Format

Share Document