Homo sapiens
Ontology highlight
ABSTRACT:
PROVIDER: PRJNA400595 | ENA |
REPOSITORIES: ENA
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Project description:Methylation profiling in gastric cancer : normal serum vs Early and Advanced cancer serum Direct comparison experiment : Normal vs EGC, Normal vs AGC
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Project description:We have employed whole genome microarray expression profiling as a discovery platform to identify genes with the potential to distinguish between the gastric cancer and adjacent nontumor tissue. The human gastric cancer tissue belonging to low-differentiated adenocarcinoma and adjacent nontumor tissue were analysed. Expression of TIPE1 and Wnt family from this signature was quantified in the same kind of samples by real-time PCR, confirming the change pattern.
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Project description:Paired Breast Adenocarcinoma and Adjacent Normal tissue
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Project description:mRNA expression profiling of pancreatic cancer, comparing adjacent normal tissue, patient tumour and first generation patient derived xenograft tumours Fresh tumour samples for human pancreatic adenocarcinoma patients were implanted in SCID mice. 70% of these pancreatic ductal adenocarcinoma patients grew as PDX tumours, confirmed by histopathology. Frozen samples from F1 PDX tumours could be later successful passaged in SCID mice to F2 PDX tumours. The human origin of the PDX was confirmed using human specific antibodies; however, the stromal component was replaced by murine cells. Cell lines were successfully developed from three PDX tumours. RNA was extracted from 8 PDX tumours and where possible, corresponding primary tumour and adjacent normal tissues. mRNA profiles of tumour vs F1 PDX and normal vs tumour were compared by Affymetric microarray analysis
2023-03-06 | GSE207345 | GEO
Project description:mRNA expression profiling of pancreatic cancer, comparing adjacent normal tissue, patient tumour and first generation patient derived xenograft tumours Fresh tumour samples for human pancreatic adenocarcinoma patients were implanted in SCID mice. 70% of these pancreatic ductal adenocarcinoma patients grew as PDX tumours, confirmed by histopathology. Frozen samples from F1 PDX tumours could be later successful passaged in SCID mice to F2 PDX tumours. The human origin of the PDX was confirmed using human specific antibodies; however, the stromal component was replaced by murine cells. Cell lines were successfully developed from three PDX tumours. RNA was extracted from 8 PDX tumours and where possible, corresponding primary tumour and adjacent normal tissues. mRNA profiles of tumour vs F1 PDX and normal vs tumour were compared by Affymetric microarray analysis
2019-12-12 | GSE141873 | GEO
Project description:The study aimed to understand gradual biological variations during gastric tumorigenesis, and to identify the candidate genes that are involved in tumor progression and metastasis. cDNA microarray data were obtained from 10 pair of cancerous and normal adjacent tissue from gastric adenocarcinoma patients. As a results, we found that 136 genes were up-regulated and 96 genes were down-regulated by at least four-fold in tumor tissue. The analysis of gene clusters revealed a complex remodelling of normal gastric epithelium morphology and function associated with the tumorigenesis and metastasis. A large number of proteases are being overexpressed, together with keratins, genes associated with morphogenesis and anti-apoptosis. Between the most significant down-regulated genes, were genes involved gastric motility and synthesis, genes related to metabolic and pro-apoptotic processes. We report also, the identification of seven genes, significant up-regulated, that seems to be associated with tumor progression: KRT17, COL10A1, KIAA1199, SPP1, IL11, S100A2, and MMP3. Conclusions. Our cDNA microarray study identified several genes that appeared to meet the criteria of a good biomarker, and may therefore be especially useful for the development of diagnostic tools, for the early detection, or for the prediction of tumor progression.
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Project description:Human primary gastric cancer tissue SAGE libraries. Profile of the genes expressed in well and poorly differentiated gastric cancer, early and advanced gastric cancer, scirrhous type gastric cancer, and lymph node metastasis determined through SAGE. Keywords = gastric cancer, histology, early gastric cancer, advanced gastric cancer, lymph node metastasis, scirrhous type gastric cancer Keywords: other
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Project description:Gastric cancer is a leading cause of death from cancer globally. Gastric cancer is classified into intestinal, diffuse and indeterminate subtypes based on histology according to the Laurén classification. The intestinal and diffuse subtypes, although different in histology, demographics and outcomes, are still treated in the same fashion. This study was designed to discover proteomic signatures of diffuse and intestinal subtypes. Mass spectrometry-based proteomics using tandem mass tags (TMT)-based multiplexed analysis was used to identify proteins in tumor tissues from patients with diffuse or intestinal gastric cancer with adjacent normal tissue control. A total of 7,804 or 5,166 proteins were identified from intestinal or diffuse subtype, respectively. This quantitative mass spectrometric analysis defined a proteomic signature of differential expression across the two subtypes, which included gremlin1 (GREM1), bcl-2-associated athanogene 2 (BAG2), olfactomedin 4 (OLFM4), thyroid hormone receptor interacting protein 6 (TRIP6) and melanoma-associated antigen 9 (MAGE-A9) proteins. Although GREM1, BAG2, OLFM4, TRIP6 and MAGE-A9 have all been previously implicated in tumor progression and metastasis, they have not been linked to intestinal or diffuse subtypes of gastric cancer. Using immunohistochemical labelling of a tissue microarray comprising of 132 cases of gastric cancer, we validated the proteomic signature obtained by mass spectrometry in the discovery cohort. Our findings should help investigate the pathogenesis of these gastric cancer subtypes and potentially lead to strategies for early diagnosis and treatment.
2022-02-17 | PXD026279 | Pride
Project description:miRNA expresion data from PDAC Tumour, adjacent normal and PDX tissue samples
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