GCP study
Ontology highlight
ABSTRACT:
PROVIDER: EGAS00001004959 | EGA |
REPOSITORIES: EGA
Similar Datasets
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: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 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 | GSE168999 | GEO
Project description:Gastric cancer (GC) remains one of the most prevalent tumor worldwide, and ranks third in cancer-related deaths globally. Long non-coding RNAs (lncRNAs) have been reported to play significant role in the progression and metastasis in gastric cancer (GC), however, the molecular mechanism are largely elusive. We aim to identify up-regulated lncRNA in gastric cancer peritoneal metastasis and study their function in promoting tumor progression and metastasis.
2025-04-01 | GSE200697 | GEO
Project description:Whole-genome sequencing of 135 tumor samples and 98 normal samples of gastric cancer with peritoneal metastasis
| EGAD00001006963 | EGA
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:Gastric cancer (GC) remains one of the leading causes of cancer-related death worldwide, especially in East Asian countries. Despite advances in treatment, patients with locally advanced gastric cancer (LAGC) still have a poor prognosis due to the high incidence of metastasis and recurrence. Peritoneal metastasis is particularly occult and difficult to detect by conventional imaging techniques at an early stage. Existing imaging methods lack high sensitivity and are difficult to detect early metastatic lesions. Although diagnostic laparoscopy has high sensitivity, it is invasive and difficult to use routinely. Therefore, innovative diagnostic methods are urgently needed. Transcriptomics methods can provide a comprehensive understanding of the biological state of cancer, especially showing potential in the early detection of GC and peritoneal metastasis. Our objective is to provide a more sensitive diagnostic method in the latent stage of peritoneal metastasis by identifying the RNA expression pattern of cancer cells.
2025-04-23 | GSE289037 | GEO
Project description:Metastasis is a major problem of gastric cancer. In this study, small extracellular vesicle (sEV)-derived miRNAs were sequenced to screen biomarkers for GC’s organo-tropic metastasis. Plasma from 40 treatment-naïve gastric cancer patients including 10 no metastasis (M0) and 30 distant metastasis (M1) were assessed by sEV-miRNA-sequencing. sEV miRNAs with diverse expression profiles across different metastatic patterns were combined into sigantures to characterize and predict gastric cancer metastasis.
2024-06-16 | GSE178283 | 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