Characterization of heterogeneity in gastric cancer cells derived from independent lineages at single-cell resolution
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ABSTRACT:
ORGANISM(S): Homo sapiens
PROVIDER: GSE150290 | GEO | 2022/01/30
REPOSITORIES: GEO
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Project description:Intestinal-type gastric cancer is preceded by premalignant lesions including chronic atrophic gastritis and intestinal metaplasia. In this study, we performed a scRNA-seq survey of 56,440 cells from thirteen gastric antral mucosa biopsies from nine patients with Non-atrophic gastritis (NAG), CAG, IM or early gastric cancer (EGC), and constructed a single-cell transcriptome atlas for gastric premalignant and early-malignant lesions. The thirteen biopsies, including three wild superficial gastritis (NAG) ones, three CAG ones, six IM ones and one EGC , spanned the cascade from gastritis to early gastric cancer.For each biopsy, we isolated single cells without prior selection for cell types and utilized the 10x Chromium platform to generate RNA-seq data. After removing low-quality cells (Methods), a total of 32, 332 cells that passed the quality control were retained for subsequent analysis, which yielded a median of 1941 detected genes per cell.
2019-07-20 | GSE134520 | GEO
Project description:Gastric cancer (GC) is associated with high mortality rates and an unfavorable prognosis at advanced stages. In addition, there are no effective methods for diagnosing gastric cancer at an early stage or for predicting the outcome for the purpose of selecting patient-specific treatment options. Therefore, it is important to investigate new methods for GC diagnosis. We designed a custom microarray of gastric cancer. The customized microarray contained 1042 canceration and prognosis related genes identical to the probes on the Agilent microarray. DNA microarray profilling analysis was performed on gastric cancer tissues and premalignant tissues (20 samples per group).
2014-03-01 | E-MTAB-1881 | biostudies-arrayexpress
Project description:CIMP (CpG island methylator phenotype) is an epigenetic molecular subtype, observed in multiple malignancies and associated with the epigenetic silencing of tumour suppressors. Currently, for most cancers including gastric cancer [GC], mechanisms underlying CIMP remain poorly understood. We sought to discover molecular contributors to CIMP in GC, by performing global DNA methylation, gene expression, and proteomics profiling across 14 gastric cell lines, followed by similar integrative analysis in 50 GC cell lines and 467 primary GCs. We identify the cystathionine beta-synthase enzyme (CBS) as a highly recurrent target of epigenetic silencing in CIMP GC. Likewise, we show that CBS epimutations are significantly associated with CIMP in various other cancers, occurring even in premalignant gastroesophageal conditions and longitudinally linked to clinical persistence. Of note, CRISPR deletion of CBS in normal gastric epithelial cells induces widespread DNA methylation changes that overlap with primary GC CIMP patterns. Reflecting its metabolic role as a gatekeeper interlinking the methionine and homocysteine cycles, CBS loss in vitro also causes reductions in the anti-inflammatory gasotransmitter hydrogen sulphide (H2S), with concomitant increase in NF-κB activity. In a murine genetic model of CBS-deficiency, preliminary data indicate upregulated immune-mediated transcriptional signatures in the stomach. Our results implicate CBS as a bi-faceted modifier of aberrant DNA methylation and inflammation in GC and highlights H2S donors as a potential new therapy for CBS-silenced lesions.
2021-04-19 | GSE149411 | GEO
Project description:Background and Aims: Gastric adenocarcinoma (gastric cancer, GC) is a major cause of global cancer mortality. Identifying molecular programs contributing to GC patient survival may improve our understanding of GC pathogenesis, highlight new prognostic factors, and reveal novel therapeutic targets. We aimed to produce a comprehensive inventory of gene expression programs expressed in primary GCs, and to identify those expression programs significantly associated with patient survival. Methods: Using a network modeling approach, we performed a large scale meta-analysis of GC transcriptome data integrating 940 gastric transcriptomes from multiple independent patient cohorts. We analyzed a training set of 428 GCs and 163 non neoplastic gastric mucosa (‘non-malignants’), and a validation set of 288 GCs and 61 non-malignants. Results: We identified 178 gene expression programs (modules) expressed in primary GCs, which were associated with distinct biological processes, chromosomal location patterns, cis-regulatory motifs, and clinicopathological parameters. Amongst these modules, expression of a TGF-B-signaling associated “super-module” of stroma-related genes consistently predicted patient survival in multiple GC validation cohorts. Analysis of histopathological tissue sections from gastrectomy specimens revealed that expression of this stromal module was associated with the proportion of intra-tumoral stroma (ITS). Further supporting the stromal module expression/ITS association, we found that the ITS proportion, measured directly from tissue sections, also predicted GC patient survival. Conclusion: Stromal gene expression predicts GC patient survival in multiple independent cohorts and may be closely related to the ITS proportion, a specific morphological GC phenotype. These findings suggest that therapeutic approaches targeting pathways associated with the GC stroma may merit evaluation.
2012-07-05 | GSE37023 | GEO
Project description:Recent sequencing analyses have shed light on heterogeneous patterns of genomic aberrations in human gastric cancers (GCs). To explore how individual genetic events translate into cancer phenotypes, we established a biological library consisting of genetically engineered gastric organoids carrying various GC mutations and 37 patient-derived organoid lines, including rare genomically stable GCs. Phenotype analyses of GC organoids revealed divergent genetic and epigenetic routes to gain Wnt and R-spondin niche independency. An unbiased phenotype-based genetic screening identified a significant association between CDH1/TP53 compound mutations and the R-spondin independency that was functionally validated by CRISPR-based knockout. Xenografting of GC organoids further established the feasibility of Wnt-targeting therapy for Wnt-dependent GCs. Our results collectively demonstrate that multifaceted genetic abnormalities render human GCs independent of the stem cell niche and highlight the validity of the genotype-phenotype screening strategy in gaining deeper understanding of human cancers.
2018-08-14 | GSE112369 | GEO
Project description:Genome-wide mRNA expression profiles of 200 primary gastric tumors from the Singapore patient cohort. Gastric cancer (GC) is the second leading cause of global cancer mortality, with individual gastric tumors displaying significant heterogeneity in their deregulation of various oncogenic pathways. We aim to identify major oncogenic pathways in GC that robustly impact patient survival and treatment response. We used an in silico strategy based on gene expression signatures and connectivity analytics to map patterns of oncogenic pathway activation in 25 unique GC cell lines, and in 301 primary gastric cancers from three independent patient cohorts. Of 11 oncogenic pathways previously implicated in GC, we identified three predominant pathways (proliferation/stem cell, NF-kB, and Wnt/b-catenin) deregulated in the majority (>70%) of gastric tumors. Using a variety of proliferative, Wnt, and NF-kB-related assays, we experimentally validated the pathway predictions in multiple GC cell lines showing similar pathway activation patterns in vitro. Patients stratified at the level of individual pathways did not exhibit consistent differences in clinical outcome. However, patients grouped by oncogenic pathway combinations demonstrated robust and significant survival differences (e.g., high proliferation/high NF-kB vs. low proliferation/low NF-kB), suggesting that tumor behavior in GC is likely influenced by the combined effects of multiple oncogenic pathways. Our results demonstrate that GCs can be successfully taxonomized by oncogenic pathway activity into biologically and clinically relevant subgroups. Experiment Overall Design: Profiling of 200 primary gastric tumors on Affymetrix GeneChip Human Genome U133 Plus 2.0 Array. All tumors were collected with approvals from the National Cancer Centre, Singapore; the Research Ethics Review Committee; and signed patient informed consent.
2009-04-10 | E-GEOD-15459 | biostudies-arrayexpress
Project description:We performed scRNAseq of leukocytes isolated from the gastric corpus of WT male mice. CD45+ leukocytes were sorted from the gastric corpus using flow cytometry and libraries were prepared using the 10x genomic chromium controller. These data provide an atlas of the inflammatory cells which reside within the gastric corpus during steady-state conditions.
2021-12-06 | GSE147177 | GEO
Project description:A large-scale characterization of the methylation states of candidate CpG islands (CGIs) throughout the gastric cancer methylome has not previously been conducted. Genome-wide DNA methylation profiles were compared between 4 metastatic and 4 non-metastatic gastric carcinomas (GCs) and their surgical margins (SMs). The GC genome showed significantly higher proportions of hypomethylation in the promoter and exon-1 regions, as well as increased hypermethylation of intragenic fragments when compared to SMs. Differential methylation was observed in CGIs near transcription start sites of 546 genes between GCs and SMs, and 601 genes between metastatic and non-metastatic GCs. From the list of differentially methylated CGIs, 68 candidate genes and 10 known tumor-related genes were selected for further characterization based on their known molecular function using DHPLC. Significant differential methylation was validated in the CGIs of 15 genes between GCs and SMs (Ps<0.05) and confirmed using bisulfite-sequencing. These genes include BMP3, BNIP3, CDKN2A, ECEL1, ELK1, GFRA1, HOXD10, KCNH1, PSMD10, PTPRT, SIGIRR, SRF, TBX5, TFPI2, and ZNF382. Hypomethylation of CGIs correlated with up-regulation of GFRA1 expression in GCs, while hypermethylation of other genes inactivated their transcription. Most importantly, prevalence of GFRA1, SRF, and ZNF382 methylation alterations were inversely and coordinately associated with GC metastasis and the patients’ overall survival throughout discovery and testing cohorts in China as well as independent validation cohorts in Japan and Korea. In conclusion, methylation changes in the CGIs of 15 genes correlated strongly with GC development. GFRA1 hypomethylation and SRF and ZNF382 hypermethylation are potential synergistic biomarkers for the prediction of GC metastasis. To identify differential methylation of CGIs related to GC development and metastasis, genome-wide DNA methylation changes in 8 pairs of GC and SM samples were analysed using the MCAM assay with a 99K custom-designed Agilent oligonucleotide microarray composed of 99,027 probes targeting 6,177 unique protein-coding genes containing at least two methylation-sensitive/insensitive SmaI/ XmaI restriction sites (CCC|GGG/ C|CmCGGG) as described in Shen et al, PLoS Genet 3, 2023-2036 (2007).
2014-06-02 | E-GEOD-47724 | biostudies-arrayexpress
Project description:Despite the clinical success of trastuzumab deruxtecan (T-DXd) in treating HER2-positive gastric cancers (GCs), its precise immunomodulatory mechanisms remain elusive. This study investigates T-DXd's immune-related actions in GC cells through RNA sequencing.
2024-10-20 | GSE245851 | GEO
Project description:Histone H3 lysine 9 tri-methyltransferases (H3K9me3) are related to transcriptional gene silencing. Although SETDB2 has H3K9me3 activity, it is unknown whether SETDB2 is linking to carcinogenesis. Here, we studied alterations and functions of SETDB2 in gastric cancers (GCs). In human clinical samples, overexpression of SETDB2 protein was observed in 30 of 72 (41.7%) primary GC tissues compared with their normal counterparts, and significantly associated with poor prognosis of the patients (P<0.05). SETDB2 protein was significantly detected in late stage of GCs. Moreover, SETDB2 protein was strongly expressed in four (30.8%) of 13 GC cell lines, and knockdown of SETDB2 led to decrease the cell proliferation, migration and invasion. According to the microarray analysis on a GC cell line after knockdown of SETDB2, the expression of WWOX and CADM1 tumor suppressor genes was significantly up-regulated. ChIP analysis showed that the H3K9me3 levels at the promoter regions of WWOX and CADM1 genes were closely regulated by the SETDB2 in GC cells. We also found that SETDB2 bound to the promoter regions after SETDB2 overexpression. Our data suggest that SETDB2 is associated with transcriptional repression of WWOX and CADM1, through H3K9me3, and hence overexpression of SETDB2 may contribute to gastric progression. Transfection of SETDB2 siRNA into MKN74 cells were performed by electroporation. After 48hrs, cells were harvested. Total RNA was used for cDNA microarray.
2016-02-21 | E-GEOD-76135 | biostudies-arrayexpress