GEO DataSets

(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) 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) 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

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) We compared the transcriptomic content of salivary exosomes vs. whole saliva via microarray (Affymetrix HU133 plus 2.0).

Organism:

Homo sapiens

Type:

Expression profiling by array

Platform:

GPL570

6 Samples

Download data: CEL

(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) 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) 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) Introduction: microRNAs are promising candidate breast cancer biomarkers due to their cancer-specific expression profiles. However, efforts to develop circulating breast cancer biomarkers are challenged by the heterogeneity of microRNAs in the blood. To overcome this challenge, we aimed to develop a molecular profile of microRNAs specifically secreted from breast cancer cells. Our first step towards this direction relates to capturing and analyzing the contents of exosomes, which are small secretory vesicles that selectively encapsulate microRNAs indicative of their cell of origin. more...

Organism:

Homo sapiens

Type:

Non-coding RNA profiling by high throughput sequencing

Platform:

GPL15520

6 Samples

Download data: XLSX

(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) The present research aimed to demonstrate that pancreatic cancer related miRNAs can be transferred from exosome to dendritic cells and influence mRNA expression, inducing immune tolerance of dendritic cells .Immature dendritic cells were induced from peripheral blood monocytes and stimulated by exosomes collected from PANC-1 cell culture.Genome-wide mRNA chip were performed in iDC and exosome stimulated iDC to detect the change of mRNA expression level.

Organism:

Homo sapiens

Type:

Expression profiling by array

Platform:

GPL19907

2 Samples

Download data: GPR, TXT

(Submitter supplied) we analyzed transcriptomic profiles in LLC cells isolated from primary cancer sites. C57BL/6 mice were subcutaneously injected with LLC-RFP with or without BMSCs.

Organism:

Mus musculus

Type:

Expression profiling by high throughput sequencing

Platform:

GPL23479

6 Samples

Download data: TXT

(Submitter supplied) Exosomal miRNAs including 86 exosomal miRNAs were significantly increased and 354 exosomal miRNAs were significantly decreased in the co-injection group compared to LLC injection alone through expression profiling of a total of 1903 genes.

Organism:

Mus musculus

Type:

Non-coding RNA profiling by array

Platform:

GPL21265

2 Samples

Download data: TXT

(Submitter supplied) MiRNA microarray analysis was performed on exosomes secreted by mouse MSC cells under two different conditions of normal oxygen and hypoxia, in order to find out the different miRNAs in exosomes secreted by MSC under two different conditions.

Organism:

Mus musculus

Type:

Non-coding RNA profiling by array

Platform:

GPL22383

2 Samples

Download data: TXT

(Submitter supplied) Tissue microRNAs (miRNAs) can detect cancers and predict prognosis. Several recent studies reported that tissue, plasma, and saliva miRNAs share similar expression profiles. In this study, we investigated the diagnostic value of salivary miRNAs (including whole saliva and saliva supernatant) for detection of esophageal cancer.

Organism:

Homo sapiens

Type:

Non-coding RNA profiling by array

Platform:

GPL10850

10 Samples

Download data: TXT

(Submitter supplied) Gene expression reprogramming in normal oral keratinocytes following exposure to normal or cancer-derived exosomes.

Organism:

Homo sapiens

Type:

Expression profiling by array

Platform:

GPL10558

12 Samples

Download data: IDAT, TXT