scholarly journals Identification of Thrombosis-Related Genes in Patients with Advanced Gastric Cancer: Data from AGAMENON-SEOM Registry

Biomedicines ◽  
2022 ◽  
Vol 10 (1) ◽  
pp. 148
Author(s):  
David Zaragoza-Huesca ◽  
Pedro Garrido-Rodríguez ◽  
Paula Jiménez-Fonseca ◽  
Eva Martínez de Castro ◽  
Manuel Sánchez-Cánovas ◽  
...  

Advanced gastric cancer is one of the most thrombogenic neoplasms. However, genetic mechanisms underlying this complication remain obscure, and the molecular and histological heterogeneity of this neoplasm hinder the identification of thrombotic biomarkers. Therefore, our main objective was to identify genes related to thrombosis regardless of Lauren subtypes. Furthermore, in a secondary exploratory study, we seek to discover thrombosis-associated genes that were specific to each TCGA molecular subtype. We designed a nested case-control study using the cohort of the AGAMENON national advanced gastric cancer registry. Ninety-seven patients were selected—48 with and 49 without venous thromboembolism (using propensity score matching to adjust for confounding factors)—and a differential gene expression array stratified by Lauren histopathological subtypes was carried out in primary tumor samples. For the secondary objective, the aforementioned differential expression analysis was conducted for each TCGA group. Fifteen genes were determined to be associated with thrombosis with the same expression trend in both the intestinal and diffuse subtypes. In thrombotic subjects, CRELD1, KCNH8, CRYGN, MAGEB16, SAA1, ARL11, CCDC169, TRMT61A, RIPPLY3 and PLA2G6 were underexpressed (adjusted-p < 0.05), while PRKD3, MIR5683, SDCBP, EPS8 and CDC45 were overexpressed (adjusted-p < 0.05), and correlated, by logistic regression, with lower or higher thrombotic risk, respectively, in the overall cohort. In each TCGA molecular subtype, we identified a series of genes differentially expressed in thrombosis that appear to be subtype-specific. We have identified several genes associated with venous thromboembolism in advanced gastric cancer that are common to Lauren intestinal and diffuse subtypes. Should these genetic factors be validated in the future, they could be complemented with existing clinical models to bolster the ability to predict thrombotic risk in individuals with advanced gastric adenocarcinoma.

2017 ◽  
Vol 47 (10) ◽  
pp. 942-948 ◽  
Author(s):  
Hiroyuki Arai ◽  
Shuichi Hironaka ◽  
Keiko Minashi ◽  
Tadamichi Denda ◽  
Mototsugu Shimokawa ◽  
...  

2021 ◽  
Vol 9 (8) ◽  
pp. e002467
Author(s):  
Dongqiang Zeng ◽  
Jiani Wu ◽  
Huiyan Luo ◽  
Yong Li ◽  
Jian Xiao ◽  
...  

BackgroundDurable efficacy of immune checkpoint blockade (ICB) occurred in a small number of patients with metastatic gastric cancer (mGC) and the determinant biomarker of response to ICB remains unclear.MethodsWe developed an open-source TMEscore R package, to quantify the tumor microenvironment (TME) to aid in addressing this dilemma. Two advanced gastric cancer cohorts (RNAseq, N=45 and NanoString, N=48) and other advanced cancer (N=534) treated with ICB were leveraged to investigate the predictive value of TMEscore. Simultaneously, multi-omics data from The Cancer Genome Atlas of Stomach Adenocarcinoma (TCGA-STAD) and Asian Cancer Research Group (ACRG) were interrogated for underlying mechanisms.ResultsThe predictive capacity of TMEscore was corroborated in patient with mGC cohorts treated with pembrolizumab in a prospective phase 2 clinical trial (NCT02589496, N=45, area under the curve (AUC)=0.891). Notably, TMEscore, which has a larger AUC than programmed death-ligand 1 combined positive score, tumor mutation burden, microsatellite instability, and Epstein-Barr virus, was also validated in the multicenter advanced gastric cancer cohort using NanoString technology (N=48, AUC=0.877). Exploration of the intrinsic mechanisms of TMEscore with TCGA and ACRG multi-omics data identified TME pertinent mechanisms including mutations, metabolism pathways, and epigenetic features.ConclusionsCurrent study highlighted the promising predictive value of TMEscore for patients with mGC. Exploration of TME in multi-omics gastric cancer data may provide the impetus for precision immunotherapy.


2011 ◽  
Vol 29 (15_suppl) ◽  
pp. e14652-e14652
Author(s):  
M. J. Kang ◽  
B. Ryoo ◽  
M. Ryu ◽  
D. Koo ◽  
H. Chang ◽  
...  

PLoS ONE ◽  
2020 ◽  
Vol 15 (7) ◽  
pp. e0235848 ◽  
Author(s):  
Almudena Cotes Sanchís ◽  
Javier Gallego ◽  
Raquel Hernandez ◽  
Virginia Arrazubi ◽  
Ana Custodio ◽  
...  

2020 ◽  
Vol 26 (14) ◽  
pp. 3784-3790 ◽  
Author(s):  
Yohei Kubota ◽  
Akihito Kawazoe ◽  
Akinori Sasaki ◽  
Saori Mishima ◽  
Kentaro Sawada ◽  
...  

2012 ◽  
Vol 48 (4) ◽  
pp. 492-500 ◽  
Author(s):  
Myoung Joo Kang ◽  
Baek-Yeol Ryoo ◽  
Min-Hee Ryu ◽  
Dong-Hoe Koo ◽  
Heung Moon Chang ◽  
...  

2016 ◽  
Vol 34 (15_suppl) ◽  
pp. e15521-e15521
Author(s):  
Hiroyuki Arai ◽  
Shuichi Hironaka ◽  
Keiko Minashi ◽  
Tadamichi Denda ◽  
Mototsugu Shimokawa ◽  
...  

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