09bcf721-e54b-49d6-8668-a9c8a49d7177 - samples
Ontology highlight
ABSTRACT:
PROVIDER: EGAD00001006963 | EGA |
REPOSITORIES: EGA
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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.
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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 (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.
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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
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Project description:Genome sequencing data of gastric cancer with peritoneal metastasis.
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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.
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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