GEO DataSets

(Submitter supplied) siRNA of MYEOV, KCNN4, S100A16 and DDX60L treated MiaPaCa2 and PANC-1 cells were used for RNA-seq to identify the transcriptomic alterations.

Organism:

Homo sapiens

Type:

Expression profiling by high throughput sequencing

Platform:

GPL11154

30 Samples

Download data: XLSX

(Submitter supplied) For identifying the specific expressed genes in PDAC, we constructed sequencing libraries from polyadenylated-RNA extracted from 6 PDAC specimens and 6 non-tumor adjacent tissues.

Organism:

Homo sapiens

Type:

Expression profiling by high throughput sequencing

Platform:

GPL11154

12 Samples

Download data: CSV

(Submitter supplied) Pancreatic cancer (PC) remains a highly lethal malignancy worldwide. As metastasis and malignant proliferation are primarily responsible for poor clinical outcomes of PC, it is imminent to dig out the pivotal gene involved in the process as well as its underlying molecular mechanism. In this study, through analysis of TCGA and GTEx data, we found that the expression level of MYEOV was obviously increased in carcinoma tissues relative to healthy ones and associated with poor survival in PC patients. more...

Organism:

Homo sapiens

Type:

Non-coding RNA profiling by high throughput sequencing

Platform:

GPL11154

12 Samples

Download data: TXT

(Submitter supplied) Pancreatic tumors with small size can cause type3C Diabetes Mellitus (PCA-DM) but the mechanism is unknown. In this study we aimed at revealing the mRNA and long noncoding RNA (LncRNA) expression patterns of pancreatic tumors that triggered PCA-DM. Four pancreatic tumors from patients with PCA-DM (A1-A4), four pancreatic tumors from patients without PCA-DM (B1-B4), and four pancreatic tissues from patients with pancreatitis were individually profiled with Agilent microarrays(Arraystar Human LncRNA Array v3.0).

Organism:

Homo sapiens

Type:

Expression profiling by array; Non-coding RNA profiling by array

Platform:

GPL16956

12 Samples

Download data: TXT

(Submitter supplied) To identify differentially expressed genes by anti cancer treatments (microRNAs or siRNAs) in human cancer, several cell lines (lung cancer, breast cancer, gastric cancer and renal cancer) were subjected to Agilent whole genome microarrays.

Organism:

Homo sapiens

Type:

Expression profiling by array

Platform:

GPL20844

8 Samples

Download data: TXT

(Submitter supplied) Three PDAC tissue samples and their matched adjacent non-tumor samples were obtained and were used for microarray assay.

Organism:

Homo sapiens

Type:

Non-coding RNA profiling by array; Expression profiling by array

Platform:

GPL16956

6 Samples

Download data: TXT

(Submitter supplied) To identify differentially expressed genes by anti cancer treatments (microRNAs or siRNAs) in human cancer, several cell lines ( renal cell carcinoma, lung adenocarcinoma, esophageal, pancreatic and prostate cancer) were subjected to Agilent whole genome microarrays.

Organism:

Homo sapiens

Type:

Expression profiling by array

Platform:

GPL20844

16 Samples

Download data: TXT

(Submitter supplied) Pancreatic ductal adenocarcinoma (PDAC) is one of the most lethal malignany and currently the fourth leading cause of cancer related death worldwide. Circular RNAs (circRNAs) are a kind of novel noncoding RNA with a covalently circular structure arise from the non-canonical splicing of precursor-mRNA(pre-mRNA). To identify circRNAs involved in the progression of PDAC, next-generation sequencing (NGS) was performed in five paired PDAC and normal adjacent tissues. more...

Organism:

Homo sapiens

Type:

Expression profiling by high throughput sequencing; Non-coding RNA profiling by high throughput sequencing

Platform:

GPL20795

10 Samples

Download data: TXT

(Submitter supplied) To evaluate the prognostic relevance of molecular subtypes and key transcription factors in pancreatic ductal adenocarcinoma (PDAC), we performed gene expression analysis of whole-tumor tissue obtained from 118 surgically resected PDAC and 13 control samples.

Organism:

Homo sapiens

Type:

Expression profiling by array

Platform:

GPL13667

131 Samples

Download data: CEL

(Submitter supplied) Purpose: The goals of this study are to delineate genes when comparing long-term (LT) and short-term (ST) PDAC survivors, and to exploit the merits of extensive integrative individual- and group-based transcriptome profiling. Method: Using a discovery cohort of 19 PDAC patients, we first performed differential gene expression (DGE) analysis comparing LT to ST PDAC groups. Second, we adopted unsupervised systems biology approaches to obtain meaningful gene modules showing associations to clinical features. more...

Organism:

Homo sapiens

Type:

Expression profiling by high throughput sequencing

Platform:

GPL18573

19 Samples

Download data: TXT

(Submitter supplied) Pancreatic ductal adenocarcinoma (PDAC) remains one of the most aggressive and lethal malignant tumors all over the world, with a 5-year survival rate of less than 10%1,2. Usually diagnosed at an advanced stage, PDAC is highly resistant to current therapies, partly due to an extremely high rate of distant metastasis (>80%) at first diagnosis. The liver is the most frequent site of distant metastases for PDAC. more...

Organism:

Homo sapiens

Type:

Expression profiling by high throughput sequencing

Platform:

GPL18573

8 Samples

Download data: MTX, TSV