Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

Difference of expression profile between tumor tissue and adjacent tissue in patients with pancreatic cancer

ABSTRACT: In order to explore the differences between tumor tissues and adjacent tissues of pancreatic cancer patients, we plan to find the differences in expression profiles between tumor tissues and adjacent tissues of pancreatic cancer patients by sequencing

ORGANISM(S): Homo sapiens

PROVIDER: GSE241330 | GEO | 2024/07/03

REPOSITORIES: GEO

ACCESS DATA

Json Xml

Dataset's files

Source:

			Action	DRS
		Other

Items per page:

1 - 1 of 1

Similar Datasets

The difference of chromatin between tumor tissue and adjacent tissue in patients with pancreatic cancer

Project description:In order to better study the differences between pancreatic cancer patients' tumor tissues and their adjacent tissues, we compared chromatin accessibility of pancreatic cancer tumor tissues and adjacent tissues of the same patient from the whole genome, in an effort to find meaningful research targets related to pancreatic cancer patients

2024-07-03 | GSE241327 | GEO

The difference of chromatin between tumor tissue and adjacent tissue in patients with pancreatic cancer

Project description:The difference of chromatin between tumor tissue and adjacent tissue in patients with pancreatic cancer

| PRJNA1007693 | ENA

Difference of expression profile between tumor tissue and adjacent tissue in patients with pancreatic cancer

Project description:Difference of expression profile between tumor tissue and adjacent tissue in patients with pancreatic cancer

| PRJNA1007696 | ENA

Epigenome analysis of tumor adjacent normal tissue from breast cancer patients

Project description:Genome wide DNA methylation profiling of tumor adjacent normal tissue from patients with invasive breast cancer, as well as tissue from women undergoing reduction mammoplasty or prophylactic surgery. The Illumina Infinium 450k Human DNA methylation Beadchip was used to obtain DNA methylation profiles across approximately 485,577 CpGs in snap frozen breast tissue. Samples included 70 tumor-adjacent normal breast tissue with invasive disease, 8 tissues from breast prophylactic patients, and 18 tissues from breast reduction patients.

2015-04-15 | GSE67919 | GEO

Epigenome analysis of tumor adjacent normal tissue from breast cancer patients

2015-04-15 | E-GEOD-67919 | biostudies-arrayexpress

miRNA expresion data from PDAC Tumour, adjacent normal and PDX tissue samples

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

Shotgun proteomics of lung tumors and normal tumor-adjacent tissue of non-small cell lung cancer patients

Project description:Lung tumors, as well as normal tumor-adjacent (NTA) tissue of non-small cell lung cancer (NSCLC) patients, were collected and subjected label-free quantitation shotgun proteomics in data-independent mode to identify differences between the tumors and adjacent tissue. By employing in-depth proteomics, we identified several pathways that are up- or downregulated in the tumors of non-small cell lung cancer patients.

2023-11-27 | PXD046998 | Pride

DNA methylation in human pancreatic cancer vs. adjacent normal pancreatic tissue

Project description:HumanMethylation 450K microarrays were used to identify aberrant DNA methylation in pancreatic adenocarcinoma (n=14), juice-circulating cancer cells (n=4), cancer associated fibroblasts (n=3), against adjacent normal pancreatic tissues (n=7) Bisulphite converted DNA from the 28 samples were hybridised to the Illumina HumanMethylation450 Beadchip v1.2

2020-10-12 | GSE74071 | GEO

Tumor Intrinsic Subtype is Reflected in Cancer-Adjacent Benign Tissue

Project description:Introduction: Overall survival of early-stage breast cancer (BC) patients is similar for those who undergo breast conserving therapy (BCT) and mastectomy, however, 10-15% of women undergoing BCT suffer ipsilateral breast tumor recurrence. The risk of recurrence may vary with age or breast cancer subtype. Understanding the gene expression of the cancer-adjacent tissue and/or stromal response to specific tumor subtypes is important for developing clinical strategies to reduce recurrence risk. Methods: We studied gene expression data in cancer-adjacent tissue from 158 BC patients. Complementary in vitro cocultures were used to study cell-cell communication between fibroblasts and specific breast cancer subtypes. Results: Our results suggest that intrinsic tumor subtypes are reflected in histologically normal cancer-adjacent tissue. Gene expression of cancer-adjacent tissues shows that triple negative (Claudin-low or Basal-like tumors) exhibit increased expression of genes involved in inflammation and immune response. While such changes could reflect distinct immune populations present in the microenvironment of different breast cancer subtypes, altered immune response gene expression was also observed in cocultures in the absence of immune cell infiltrates, emphasizing that these inflammatory mediators are secreted by breast-specific cells. In addition, while triple negative BCs are associated with upregulated immune response genes, Luminal breast cancers are more commonly associated with estrogen-response in adjacent tissues. Conclusions: Specific characteristics of BCs are reflected in the surrounding benign tissue. This commonality between tumor and surrounding tissue may underlie second primaries and local recurrences. Biomarkers derived from cancer-adjacent tissue may be helpful in defining personalized surgical strategies or in predicting recurrence risk. reference x sample

2014-04-30 | E-GEOD-50939 | biostudies-arrayexpress

Tumor Intrinsic Subtype is Reflected in Cancer-Adjacent Benign Tissue

2014-04-30 | GSE50939 | GEO