scholarly journals Distinct molecular subtypes of gastric cancer: from Laurén to molecular pathology

Oncotarget ◽  
2018 ◽  
Vol 9 (27) ◽  
pp. 19427-19442 ◽  
Author(s):  
Magdalena Cisło ◽  
Agata Anna Filip ◽  
George Johan Arnold Offerhaus ◽  
Bogumiła Ciseł ◽  
Karol Rawicz-Pruszyński ◽  
...  
Keyword(s):  
Gastric Cancer ◽  
Molecular Pathology ◽  
Molecular Subtypes

scholarly journals Signature based on molecular subtypes of deoxyribonucleic acid methylation predicts overall survival in gastric cancer

2020 ◽  
Vol 26 (41) ◽  
pp. 6414-6430
Author(s):  
Jin Bian ◽  
Jun-Yu Long ◽  
Xu Yang ◽  
Xiao-Bo Yang ◽  
Yi-Yao Xu ◽  
...  
Keyword(s):  
Gastric Cancer ◽  
Overall Survival ◽  
Deoxyribonucleic Acid ◽  
Molecular Subtypes

scholarly journals Impact of Tumor Localization and Molecular Subtypes on the Prognostic and Predictive Significance of p53 Expression in Gastric Cancer

Cancers ◽  
2020 ◽  
Vol 12 (6) ◽  
pp. 1689 ◽  
Author(s):  
Bianca Grosser ◽  
Meike Kohlruss ◽  
Julia Slotta-Huspenina ◽  
Moritz Jesinghaus ◽  
Nicole Pfarr ◽  
...  
Keyword(s):  
Gastric Cancer ◽  
Surgical Resection ◽  
Molecular Subtypes ◽  
Strong Association ◽  
Multivariable Analysis ◽  
Tumor Localization ◽  
Prognostic Impact ◽  
P53 Expression ◽  
Prognostic Effect ◽  
Barr Virus

We investigated the prognostic and predictive impact of p53 expression for gastric cancer (GC) patients treated without or with preoperative chemotherapy (CTx) and its relationship with specific molecular GC subtypes. Specimens from 694 GC patients (562 surgical resection specimens without or after CTx, 132 biopsies before CTx) were analyzed by p53 immunohistochemistry. High (H) and low (L) microsatellite instability (MSI) and Epstein–Barr virus positivity were determined previously. Our results show that aberrant p53 expression was a negative prognostic factor in uni- and multivariable analysis in the resection specimens cohort (each p < 0.01). Subgroup analysis showed the strongest prognostic effect for patients with distally located tumors or no CTx treatment. In the biopsy cohort before CTx, p53 did not predict response or survival. p53 expression was significantly different among the molecular subtypes in surgical resection and bioptic specimens with strong association of altered p53 with MSI-L. Patients with MSI-H and aberrant p53 showed the worst survival in the biopsy cohort. In conclusion, the prognostic impact of p53 in GC differs according to tumor localization and CTx. Altered p53 is characteristic for MSI-L, and the p53 status in biopsies before CTx delineates MSI-H subtypes with inverse prognostic impact.

scholarly journals Gastric Cancer: Molecular Pathology State

10.5772/53757 ◽  
2013 ◽  
Author(s):  
Filomena Altieri ◽  
Paolo Arcari ◽  
Emilia Ripp
Keyword(s):  
Gastric Cancer ◽  
Molecular Pathology

Exome sequencing identifies frequent mutation of ARID1A in molecular subtypes of gastric cancer

2011 ◽  
Vol 43 (12) ◽  
pp. 1219-1223 ◽  
Author(s):  
Kai Wang ◽  
Junsuo Kan ◽  
Siu Tsan Yuen ◽  
Stephanie T Shi ◽  
Kent Man Chu ◽  
...  
Keyword(s):  
Gastric Cancer ◽  
Exome Sequencing ◽  
Molecular Subtypes ◽  
Frequent Mutation

scholarly journals Patterns of immune infiltration in gastric cancer and their clinical significance

2020 ◽  
Author(s):  
Yin Jin ◽  
Liping Tao ◽  
Shengnan Li ◽  
Shuqing Jin ◽  
Weiyang Cai
Keyword(s):  
Gastric Cancer ◽  
Immune Cells ◽  
Clustering Analysis ◽  
Immune Cell ◽  
Molecular Subtypes ◽  
Immune Cell Infiltration ◽  
Cancer Microenvironment ◽  
Clinical Implementation ◽  
Survival Patterns ◽  
First Time

Abstract Background: The malignant phenotypes of cancer are defined not only by its intrinsic tumor cells but also by the tumor- infiltrating immune cells (TIICs) activated and recruited to the cancer microenvironment. However, a comprehensive introduction of gastric cancer (GC) immune cell infiltration has not been identified so far.Reuslts: In this study, we comprehensively analyzed the TIICs abundance in GC for the first time by CIBERSORT. The fraction of TIICs subpopulations was also evaluated to determine the associations with clinical features and molecular subtypes. Unsupervised clustering analysis revealed there existed three distinct TIICs subgroups with distinct survival patterns. We also focused on analyzing the prognostic influence of TIICs in TP53, TTP and PIK3CA molecular subtypes.Conclusions: Collectively, our data explored the differences of TIICs in GC, and these variations were likely to be important clues for prognosis and management of its future clinical implementation.

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.

Prognostic value of DNA repair gene based on stratification of gastric cancer.

2019 ◽  
Vol 37 (4_suppl) ◽  
pp. 12-12
Author(s):  
Jinjia Chang ◽  
Midie Xu ◽  
Hui Sun ◽  
Wenhua Li ◽  
Min Ye ◽  
...  
Keyword(s):  
Gastric Cancer ◽  
Dna Repair ◽  
Clustering Analysis ◽  
Molecular Subtypes ◽  
Expression Profiles ◽  
Dna Repair Genes ◽  
Repair Gene ◽  
Dna Repair Gene ◽  
Key Genes ◽  
Repair Genes

12 Background: DNA repair genes can be used as prognostic biomarkers in many types of cancer. We aimed to identify prognostic DNA repair genes in patients with gastric cancer (GC) by systematically bioinformatic approaches using web-based database. Methods: Global gene expression profiles from altogether 1,325 GC patients’ samples from six independent datasets were included in the study. Clustering analysis was performed to screen potentially abnormal DNA repair genes related to the prognosis of GC, followed by unsupervised clustering analysis to identify molecular subtypes of GC. Characteristics and prognosis differences were analyzed among these molecular subtypes, and modular key genes in molecular subtypes were identified based on changes in expression correlation. Multivariate Cox proportional hazard analysis was used to find the independent prognostic gene. Kaplan-Meier method and log-rank test was used to estimate correlations of key DNA repair genes with GC patients’overall survival. Results: There were 57 key genes significantly associated to GC patients’ prognosis, and patients were stratified into three molecular clusters based on their expression profiles, in which patients in Cluster 3 showed the best survival (P < 0.05). After a three-phase training, test and validation process, the expression profile of 13 independent key DNA repair genes were identified can classify the prognostic risk of patients. Compared with patients with low-risk score, patients with high risk score in the training set had shorter overall survival (P < 0.0001). Furthermore, we verified equivalent findings by these key DNA repair genes in the test set (P < 0.0001) and the independent validation set (P = 0.0024). Conclusions: Our results suggest a great potential for the use of DNA repair gene profiling as a powerful marker in prognostication and inform treatment decisions for GC patients.

Abstract 1200: Molecular subtypes of gastric cancer show systematic differences in response to PI3K inhibitors and fluorouracil.

2013 ◽  
Author(s):  
Zengdeng Lei ◽  
Nian Tao Deng ◽  
Hermioni Zouridis ◽  
Iain Beehaut Tan ◽  
Chia Huey Ooi ◽  
...  
Keyword(s):  
Gastric Cancer ◽  
Molecular Subtypes ◽  
Pi3k Inhibitors
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