GEO DataSets

Analysis of saliva supernatant from pancreatic cancer patients and healthy subjects. Oral fluid (saliva) meets the demand for non-invasive, accessible, and highly efficient diagnostic medium. Results provide insight into salivary biomarkers for detection of pancreatic cancer.

Organism:

Homo sapiens

Type:

Expression profiling by array, count, 2 disease state sets

Platform:

GPL570

Series:

GSE14245

24 Samples

Download data: CEL

(Submitter supplied) Pancreatic cancer is the fourth leading cause of cancer death. Lack of early detection technology for pancreatic cancer invariably leads to a typical clinical presentation of incurable disease at initial diagnosis. Oral fluid (saliva) meets the demand for non-invasive, accessible, and highly efficient diagnostic medium. The level of salivary analytes, such as mRNA and microflora, vary upon disease onset; thus possess valuable signatures for early detection and screening. more...

Organism:

Homo sapiens

Type:

Expression profiling by array

Dataset:

GDS4100

Platform:

GPL570

24 Samples

Download data: CEL

(Submitter supplied) Ovarian cancer is the leading cause of death in gynecological diseases, and has been considered as one of the most fatal cancers due to lack of reliable detection strategy in the early stage. Therefore the capability to detect the morbidity initiation with an sensitive and effective approach is one of the most desirable goals for curing ovarian cancer. In this study, we used microarray technology for salivary mRNA biomarkers discovery, and evaluated the performance and translational utilities of discovered markers from a clinical study using an independent sample cohort . more...

Organism:

Homo sapiens

Type:

Expression profiling by array

Platform:

GPL570

22 Samples

Download data: CEL

(Submitter supplied) Early surgery is vital in the treatment of highly fatal pancreatic cancer (PC). But there is no valuable and non-invasive biomarker to screen PC currently. Studies showed many salivary molecules can detect several systemic diseases. We aimed to investigate whether salivary microRNAs (miRNAs) can act as a biomarker to detect resectable PC.

Organism:

Homo sapiens

Type:

Non-coding RNA profiling by array

Platform:

GPL18044

16 Samples

Download data: TXT

(Submitter supplied) A sensitive assay to identify biomarkers that can accurately diagnose the onset of breast cancer using non-invasively collected clinical specimens is ideal for early detection. In this study, we have conducted a prospective sample collection and retrospective blinded validation (PRoBE design) to evaluate the performance and translational utilities of salivary transcriptomic and proteomic biomarkers for the non-invasive detection of breast cancer. more...

Organism:

Homo sapiens

Type:

Expression profiling by array

Platform:

GPL570

20 Samples

Download data: CEL

(Submitter supplied) We have performed gene expression microarray analysis to profile transcriptomic signatures between cancer and noncancerous patients Gastric cancer is currently the second leading cause of cancer deaths. Due to the difficulty of diagnosing patients in the early stages of gastric cancer, it is critical to develop a method that can diagnose the disease at the early stage to allow for better treatment options. more...

Organism:

Homo sapiens

Type:

Expression profiling by array

Platform:

GPL570

94 Samples

Download data: CEL

(Submitter supplied) Affymetrix HG U133 Plus 2.0 Array (Affymetrix, Santa Clara, CA) was used to profile transcriptomes and discover altered gene expression in saliva supernatant. Salivary transcriptomic biomarker discovery was performed on 10 lung cancer patients and 10 matched controls. Seven messenger RNA biomarkers were discovered and pre-validated

Organism:

Homo sapiens

Type:

Expression profiling by array

Platform:

GPL570

20 Samples

Download data: CEL, CHP

(Submitter supplied) This is a pilot study. We are trying to detect potential salivary biomarkers in mice with a pancreatic tumor. Global gene expression profiling has shown great promise in high-throughput biomarker discovery for early disease detection in body fluids such as saliva, which is accessible, cost-effective, and non-invasive. However, this goal has not been fully realized because saliva, like many clinical samples, contains partially fragmented and degraded RNAs that are difficult to amplify and detect with prevailing technologies. more...

Organism:

Mus musculus

Type:

Expression profiling by array

Dataset:

GDS4767

Platform:

GPL1261

12 Samples

Download data: CEL

Analysis of saliva from the Panc02/C57BL/6 orthotopic, syngeneic mouse pancreatic cancer model. The model was generated by implanting pancreatic cancer cell line Panc02 into the pancreas of syngeneic host C57BL/6. Results provide insight into salivary biomarkers for detection of pancreatic cancer.

Organism:

Mus musculus

Type:

Expression profiling by array, transformed count, 2 disease state sets

Platform:

GPL1261

Series:

GSE47811

12 Samples

Download data: CEL

(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) Transcriptome analysis of partially degraded and fragmented RNA samples from body fluids Global gene expression profiling has shown great promise in high-throughput biomarker discovery for early disease detection in body fluids such as saliva, which is accessible, cost-effective, and non-invasive. However, this goal has not been fully realized because saliva, like many clinical samples, contains partially fragmented and degraded RNAs that are difficult to amplify and detect with prevailing technologies. more...

Organism:

Homo sapiens

Type:

Expression profiling by array

Platform:

GPL5175

18 Samples

Download data: CEL, CHP

(Submitter supplied) Blood samples were collected from all participants in 10-mL EDTA-coated Vacutainer tubes. Plasma was separated by centrifugation at 3,000 rpm for 10 min at room temperature (25°C) within 2 h after blood collection and then centrifuged at 13,000 rpm for 10 min at 4°C to remove debris. Isolated plasma samples were stored at -80°C until use. EV RNA were isolated by affinity-based binding to spin columns using an exoRNeasy Serum/Plasma kit (Qiagen, Hilden, Germany). more...

Organism:

Homo sapiens

Type:

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

Platform:

GPL20795

401 Samples

Download data: TXT

(Submitter supplied) The aim of the study is the assessment of diagnostic efficacy of extracorporeal diagnostic reagent pancreatic cancer diagnosis kit whose principle is the measurement of gene expression affected in pancreatic cancer human patients. Clinical trial registration number: UMIN000020758.

Organism:

Homo sapiens

Type:

Expression profiling by array

Platform:

GPL6480

30 Samples

Download data: TXT

(Submitter supplied) MicroRNAs from serum samples could detect pancreatic and biliary tract cancer patients more accurately than other traditional markers.

Organism:

Homo sapiens

Type:

Non-coding RNA profiling by array

Platform:

GPL18941

571 Samples

Download data: TXT

(Submitter supplied) EORTC 10994 phase III breast cancer clinical trial comparing FEC (5-fluorouracil, cyclophosphamide, epirubicin) with ET (epirubicin, docetaxel). 161 needle biopsies of locally advanced or large operable breast tumours were hybridised to Affymetrix X3P chips. The array data from the ER negative tumours (28/65 pathological CR in the FEC arm, 27/59 pathological CR in the ET arm) were used to validate the cell line-based chemotherapy response predictors developed by the Potti/Nevins group at Duke University (doi:10.1038/nm1491). more...

Organism:

Homo sapiens

Type:

Expression profiling by array

Platform:

GPL1352

161 Samples

Download data: CEL

(Submitter supplied) Background & Aims: MicroRNAs have been shown to offer great potential in the diagnosis of cancer. We aimed to identify microRNAs in peripheral blood mononuclear cells (PBMCs) for diagnosing pancreatic cancer (PC). Methods: PBMCs microRNA expression was investigated in three independent cohorts including 352 participants (healthy, benign pancreatic/peripancreatic diseases (BPD), and PC). First, we used sequencing technology to identify differentially expressed microRNAs in 60 PBMCs samples for diagnosing PC. more...

Organism:

Homo sapiens

Type:

Non-coding RNA profiling by high throughput sequencing

Platform:

GPL11154

3 Samples

Download data: TXT

(Submitter supplied) Genome-wide DNA methylation profiles were determined on a set of fresh 44 bladder cancer tissues using normal blood as control. DNA amplicons were prepared using Differential Methylation Hybridization (DMH) method, subsequently hybridized on to the Agilent Human CpG island Microarray. The goal was to unravel the DNA methylation patterns in different subgropus of bladder cancer along with finding markers for progresssion and early diagnosis.

Organism:

Homo sapiens

Type:

Methylation profiling by genome tiling array

Platform:

GPL4126

44 Samples

Download data: TXT

(Submitter supplied) Saliva (oral fluids) is an emerging biofluid poised for clinical diseases detection. Although the rationale for oral diseases applications (e.g. oral cancer) is clear, the rationale and relationship between systemic diseases and saliva biomarkers are unknown. In this study, we used mouse models of melanoma and non-small cell lung cancer and compared the transcriptome biomarker profiles of tumor-bearing mice to those of control mice. more...

Organism:

Mus musculus

Type:

Expression profiling by array

Platform:

GPL1261

27 Samples

Download data: CEL, CHP

(Submitter supplied) Transcriptional profiling of human skin biopsies to determine differential gene expression between normal tissue from an unaffected limb and lymphedema tissue from an affected limb.

Organism:

Homo sapiens

Type:

Expression profiling by array

Platform:

GPL4133

27 Samples

Download data: TXT