09bcf721-e54b-49d6-8668-a9c8a49d7177 - samples
Ontology highlight
ABSTRACT:
PROVIDER: EGAD00001006963 | EGA |
REPOSITORIES: EGA
Similar Datasets
Project description:Gastric cancer is one of the leading causes of cancer mortality worldwide, and peritoneal metastasis is a hallmark of incurable advanced gastric cancer. The identification of molecular vulnerability for such conditions is imperative to improve the prognosis of gastric cancer. Here, we comprehensively analysed cancer cells purified from malignant ascitic fluid samples and their corresponding cell lines from 98 patients, through whole-genome sequencing, whole transcriptome sequencing, methylation analyses, and genome-wide enhancer analyses.
2021-05-21 | GSE168999 | GEO
Project description:Gastric cancer is one of the leading causes of cancer mortality worldwide, and peritoneal metastasis is a hallmark of incurable advanced gastric cancer. The identification of molecular vulnerability for such conditions is imperative to improve the prognosis of gastric cancer. Here, we comprehensively analysed cancer cells purified from malignant ascitic fluid samples and their corresponding cell lines from 98 patients, through whole-genome sequencing, whole transcriptome sequencing, methylation analyses, and genome-wide enhancer analyses.
2021-05-21 | GSE162214 | GEO
Project description:Gastric cancer is one of the leading causes of cancer mortality worldwide, and peritoneal metastasis is a hallmark of incurable advanced gastric cancer. The identification of molecular vulnerability for such conditions is imperative to improve the prognosis of gastric cancer. Here, we comprehensively analysed cancer cells purified from malignant ascitic fluid samples and their corresponding cell lines from 98 patients, through whole-genome sequencing, whole transcriptome sequencing, methylation analyses, and genome-wide enhancer analyses.
2021-05-21 | GSE162213 | GEO
Project description:Gastric cancer is one of the most aggressive cancers and is the second leading cause of cancer death worldwide. Approximately 40% of global gastric cancer cases occur in China, with peritoneal metastasis being the prevalent form of recurrence and metastasis in advanced disease (>50%). Currently, there are limited clinical approaches for predicting and treatment of peritoneal metastasis, resulting in a 6- month average survival time. By comprehensive genome analysis will uncover the pathogenesis of peritoneal metastasis. Here we describe a comprehensive whole-genome and transcriptome sequencing analysis of one advanced gastric cancer case, including non-cancerous mucosa, primary cancer and matched peritoneal metastatic cancer. The peripheral blood is used as normal control.
2019-06-12 | GSE64916 | GEO
Project description:LncRNA and mRNA expression profiling for 7 human gastric cancr samples (3 tumor tissues and 3 tumor lymph node and 1 normal tissue) We have completed the metastasis-related Long Noncoding RNA expression profiling data microarray analysis of the 7 human gastric cancer related samples
2014-02-11 | GSE54835 | GEO
Project description:Genome sequencing data of gastric cancer with peritoneal metastasis.
| EGAS00001004959 | EGA
Project description:LncRNA and mRNA expression profiling for 7 human gastric cancr samples (3 tumor tissues and 3 tumor lymph node and 1 normal tissue) We have completed the metastasis-related Long Noncoding RNA expression profiling data microarray analysis of the 7 human gastric cancer related samples In the study presented here, a consecutively operated, well-defined cohort of three gastric cancer tissues and three metastatic lymph nodes tissues compared with the normal tissues and lymph nodes tissues, followed up more than five years, was used to acquire expression profiles of a total of 1942 lncRNA and 1976 mRNA, leading to the successful construction of supervised
2014-02-11 | E-GEOD-54835 | biostudies-arrayexpress
Project description:Gastric cancer (GC) constitutes a significant cause of cancer-related mortality worldwide, with metastatic patterns including hematogenous, peritoneal, and ovarian routes. Although GC gene expression patterns have been extensively researched, the metastasis-specific gene expression landscape remains largely unexplored. This study undertook a whole transcriptome sequencing analysis of 66 paired primary and metastatic (hematogenous, peritoneal, or ovarian) GC tumors from 14 patients, leading to the identification of 122 unique metastasis-specific epithelial-mesenchymal transition (msEMT) genes. These genes demonstrated varying expression patterns depending on the metastatic route, suggesting route-specific molecular mechanisms in GC metastasis. High expression of msEMT genes in primary tumors was associated with more frequent CDH1 mutations, the genomically stable subtype, and poor prognosis in The Cancer Genome Atlas GC cohort. This association was further corroborated by poor prognosis and high predictive performance for peritoneal or ovarian recurrence in two independent cohorts (GSE66229; n=300, GSE84437; n=433). Single-cell RNA sequencing analysis of primary tumors (GSE167297) and four independent ascites samples from GC patients revealed that msEMT genes were predominantly expressed in diverse fibroblast sub-populations, rather than cancer cells. This study illuminates the route-specific mechanisms and underlines the significance of msEMT genes and cancer-associated fibroblasts in GC metastasis, highlighting potential directions for future research.
2024-07-01 | GSE237876 | GEO
Project description:Peritoneal metastasis (PM) has a suppressive tumor immune microenvironment (TIME), which limits the effects of immunotherapy. This study aims to investigate the immunomodulatory effects of intraperitoneal administration of IL-33 on PM-associated TIME. Immunocompetent mice were used to investigate the role of IL-33 in development of abdominal dissemination and host outcome. Murine (m) and human (h) gastric cancer cells were tested for their response to IL-33 by qRT-PCR, flow cytometry, and immunofluorescence. Survival was significantly prolonged in patients with high Il-33 mRNA expression. Intraperitoneal administration of IL-33 could induce the celiac inflammatory environment, activate immunologic effector cells and reverse the immunosuppressive tumor microenvironment, which delayed tumor progression and peritoneal metastasis of gastric cancer. Mechanistically, IL-33 could induce M2 polarization by activating p38-GATA-binding protein 3 (GATA3) signaling pathway. IL-33 combined with anti-CSF1R or p38 inhibitor to regulate tumor-associated macrophages (TAMs) showed synergistic anti-tumor effect. Intraperitoneal administration of IL-33 inducing local inflammatory milieu provided a novel approach for the treatment of metastatic peritoneal malignancies, which combined with TAMs reprogramming to reshape TIME could achieve better treatment efficacy.
2023-06-30 | GSE235526 | GEO
Project description:Metastasis associated 1 family, member 2 (MTA2) gene is classified to metastasis associated gene family. We have previously reported that MTA2 gene was overexpressed in gastric cancer tissues, correlating with tumor invasion, lymph node metastasis, and advanced TNM stage. MTA2 knockdown significantly inhibited gastric cancer cell invasion and metastasis. Yet, its molecular mechanisms are still unclear. The aim of this study is to investigate the molecular mechanisms of MTA2 in regulating malignant behaviors of gastric cancer. This experiment captures the expression data between BGC-823/NC and BGC-823/MTA2, SGC-7901/NC and SGC-7901/shMTA2 cells using Whole human genome microarray 4×44K (Design ID: 014850, Agilent technologies).
2015-04-08 | E-MTAB-3469 | biostudies-arrayexpress