GEO DataSets

(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) 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) 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) 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) 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) 41% of all oral carcinomas have been found to localize at tongue, where they were characterized as being aggressive and having capacity to locally invade and relapse frequently. Despite considerable enhancements in the cancer diagnosis and treatment techniques, tongue squamous cell carcinoma (TSCC) still remains to be one of the most common and lethal cancer types in the head and neck region. In this study, we aimed to identify a signature of saliva-specific microRNAs (miRNAs) expression in TSCC patients. more...

Organism:

Homo sapiens

Type:

Non-coding RNA profiling by array

Platform:

GPL18044

7 Samples

Download data: TXT

(Submitter supplied) Snail is a zinc-finger transcription factor best known for its ability to down-regulate E-cadherin. Its established significance in embryology and organogenesis has been expanded to include a role in the tumor progression of a number of human cancers. In addition to E-cadherin, it has more recently been associated with the down-regulation and up-regulation of a number of other genes that affect important malignant phenotypes. more...

Organism:

Homo sapiens

Type:

Expression profiling by array

Platform:

GPL570

6 Samples

Download data: CEL, CHP

(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) Genes differentially expressed among cells constituting an in vitro human lung carcinogenesis model consisting of normal, immortalized, transformed and tumorigenic bronchial epithelial cells were identified. The differentially expressed genes were then analyzed to determine their relevance to the gene expression patterns of clinical non-small cell lung cancer (NSCLC) samples as well as the clinical outcome of patients with this disease.

Organism:

Homo sapiens

Type:

Expression profiling by array

Platform:

GPL96

12 Samples

Download data: CEL

(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) 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) 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) Increasing the understanding of the impact of changes in oncogenes and tumor suppressor genes is essential for improving the management of lung cancer. Recently, we identified a new mouse lung-specific tumor suppressor - the G-protein coupled receptor 5A (Gprc5a). We sought to understand the molecular consequences of Gprc5a loss and towards this we performed microarray analysis of the transcriptomes of lung epithelial cells cultured from normal tracheas of Gprc5a knockout and wild-type mice to define a loss-of-Gprc5a gene signature. more...

Organism:

Mus musculus

Type:

Expression profiling by array

Platform:

GPL1261

9 Samples

Download data: CEL

(Submitter supplied) This study was designed to understand the transcriptomic composition and the biological functions of cancer stem cells isolated from non-small cell lung cancer line (NSCLC) Putative lung cancer stem cells were isolated from cancer cell lines based on expression of known stem cell surface markers: CD166, CD44 and EpCAM using the Fluorescence Activated Cell Sorter (FACS).

Organism:

Homo sapiens

Type:

Expression profiling by array

Platform:

GPL6244

15 Samples

Download data: CEL, CHP