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514
datasets available to search
ShareScore release 0.9.0
Dataset results
514 results for “tumor progression”
The m6A-enriched lncRNA LINC00839 promotes tumor progression by binding TAF15 and activate AOC1 transcription in nasopharyngeal carcinoma [RNA-seq]
GEO Series GSE228724. Homo sapiens. 6 samples. Type: Expression profiling by high throughput sequencing.
Tumor-educated platelet RNA for the detection and (pseudo)progression monitoring of glioblastoma
GEO Series GSE156902. Homo sapiens. 804 samples. Type: Expression profiling by high throughput sequencing.
RNA-seq of murine lung mesenchymal stromal cells (LMSCs) during tumor progress
GEO Series GSE179315. Mus musculus. 3 samples. Type: Expression profiling by high throughput sequencing.
Changes in Gene expression during the development and progression of mammary tumors in MMTV-Wnt-1 and MMTV-Neu TG mice
GEO Series GSE2860. Mus musculus. 84 samples. Type: Expression profiling by array.
Failed reprogramming of transformed cells due to induction of apoptosis and senescence impairs tumor progression in lung cancer
GEO Series GSE245949. Homo sapiens; Mus musculus. 24 samples. Type: Expression profiling by high throughput sequencing.
HMGA1: A master regulator of tumor progression in triple-negative breast cancer cells
GEO Series GSE45483. Homo sapiens. 6 samples. Type: Expression profiling by array.
Inflammation induced by incomplete radiofrequency ablation accelerates tumor progression and hinders PD-1 immunotherapy
GEO Series GSE138224. Mus musculus. 6 samples. Type: Expression profiling by high throughput sequencing.
Autocrine Complement Inhibits IL10-Dependent T-cell-Mediated Antitumor Immunity to Promote Tumor Progression
GEO Series GSE79127. Homo sapiens. 6 samples. Type: Expression profiling by array.
Integrated Genomics of Ovarian Xenograft Tumor Progression and Chemotherapy Response
GEO Series GSE23616. Homo sapiens. 15 samples. Type: Expression profiling by array.
AOM/DSS colorectal cancer mouse epigenetic landscape and transcriptome profile in the progression of colites to tumor.
GEO Series GSE178214. Mus musculus. 105 samples. Type: Genome binding/occupancy profiling by high throughput sequencing; Expression profiling by high throughput sequencing.
Arid1a promotes tumor initiation but restrains progression and metastasis in liver cancer
GEO Series GSE95541. Mus musculus. 62 samples. Type: Expression profiling by high throughput sequencing; Genome binding/occupancy profiling by high throughput sequencing.
Consensus molecular subtype transition during progression of colorectal cancer [Tumor Signaling 360™ Panel]
GEO Series GSE237248. Homo sapiens. 24 samples. Type: Expression profiling by array.
CRISPR-Enabled Profiling of Enhancer RNA-Producing Super-Enhancers in Triple-Negative Breast Cancer Identifies Drivers of Tumor Progression [Hi-C]
GEO Series GSE234323. Homo sapiens. 4 samples. Type: Other.
Activated protein C promotes human lung cancer progression through the release of tumor extracellular vesicles and transfer of microRNA-200a
GEO Series GSE303686. Homo sapiens. 6 samples. Type: Non-coding RNA profiling by high throughput sequencing.
Human Subperitoneal Fibroblasts and Cancer Cell Interaction Creates Microenvironment Enhancing Tumor Progression and Metastasis
GEO Series GSE53059. Homo sapiens. 12 samples. Type: Expression profiling by array.
Proton irradiation augments the reduction in tumor progression observed with advanced age
Proton irradiation is touted for its improved tumor targeting due to the physical advantages of ion beams for radiotherapy. Recent studies from our laboratory have shown that in addition to targeting advantages proton irradiation can inhibit angiogenic and immune factors and thereby modulate tumor progression. High-energy protons also constitute a principal component of the galactic cosmic rays to which astronauts are exposed. Increased understanding of the biological effects of proton exposure would thus contribute to both improved cancer therapy and carcinogenesis risk assessment for space travel. In addition age plays a major role in tumor incidence and is a critical consideration for estimating cancer risk. We investigated the effects of host age and proton exposure on tumor progression. Tumor lag time and growth dynamics were tracked following injection of murine Lewis lung carcinoma (LLC) cells into young (68 day) versus old (736 day) mice with or without coincident irradiation. Tumor progression was suppressed in old compared to young mice. Differences in progression were further modulated by proton irradiation (1GeV) with increased inhibition evident in old mice. Through global transcriptome analysis TGFB1 and TGFB2 were determined to be key players that contributed to the tumor dynamics observed. These findings point to older hosts providing decreased systemic tumor support which can be further inhibited by proton irradiation. Overall design: For genome-wide expression profiling of tumor tissue Mouse WG-6 BeadArray chips (Illumina San Diego CA) were used. Total RNA was amplified with the Ambion Illumina TotalPrep Amplification Kit (Ambion Austin TX) and labeled from all replicate biological samples for each condition. For tumor replicates thirty tumor samples from adolescent and thirty tumor samples from old mice for a total of 60 tumor samples were used. All replicate samples were run individually. For each age group ten tumor samples had received proton irradiation while twenty tumor samples were from unirradiated mice (as described above). Total RNA was isolated and purified using TRIzol (Invitrogen) and quantified using an Agilent Bioanalyzer. Samples were deemed suitable for amplification and hybridization if they had 28s/18s = 2:1 RIN >7. Total RNA of 500ng per sample was amplified using AmbionTotalPrep and 1.5ug of the product was loaded onto the chips. Following hybridization at 55C the chips were washed and then scanned using the Illumina iScan System. The data was checked with GenomeStudio (Illumina) for quality control. In GenomeStudio data was background subtracted and rank invariant normalization was applied. Data was imported into MultiExperiment Viewer MeV for statistical analysis. The statistically significant genes were determined using MeV by applying a one-way ANOVA analysis with standard Bonferroni correction with a FDR <0.05 that resulted in a list of significant genes. Average gene expression signals <10 were filtered out due to signal being
Age and Space Irradiation Modulate Tumor Progression: Implications for Carcinogenesis Risk
Age plays a major role in tumor incidence and is an important consideration when modeling the carcinogenesis process or estimating cancer risks. Epidemiological data show that from adolescence through middle age, cancer incidence increases with age. This effect is commonly attributed to a lifetime accumulation of cellular, particularly DNA, damage. However, during middle-age, the incidence begins to decelerate and, for many tumor sites, it actually decreases at sufficiently advanced ages. We investigated if the observed deceleration and potential decrease in incidence could be attributed to a decreased capacity of older hosts to support tumor progression, and whether HZE (high atomic number (Z), high energy (E)) radiation differentially modulates tumor progression in young versus middle-age hosts, issues relevant to estimating carcinogenesis risk for astronauts. Lewis lung carcinoma (LLC) cells were injected into syngeneic mice (143 and 551 days old), which were then subject to whole-body 56Fe irradiation (1GeV/amu). Three findings emerged: 1) among unirradiated animals, substantial inhibition of tumor progression and significantly decreased tumor growth rates were seen for middle-aged mice compared to young mice; 2) whole-body 56Fe irradiation (1GeV/amu) inhibited tumor progression in both young and in middle-aged mice (with greater suppression seen in case of young animals), with little effect on tumor growth rates; and 3) 56Fe irradiation (1GeV/amu) suppressed tumor progression in young mice, to a degree not significantly different than transiting from young to middle-aged. Thus, 56Fe irradiation (1GeV/amu) acted similar to aging with respect to tumor progression. We further investigated the molecular underpinnings driving the radiation modulation of tumor dynamics in young and middle-aged mice. Through global gene expression analysis, the key players, FASN, AKT1, and the CXCL12/CXCR4 complex, were determined to be contributory. In sum, these findings demonstrate a reduced capacity of middle-aged hosts to support the progression phase of carcinogenesis and identify molecular factors contributory to HZE radiation modulation of tumor progression as a function of age. For genome-wide expression profiling of tumor tissue, Mouse WG-6 BeadArray chips (Illumina, San Diego, CA) were used. Total RNA was amplified with the Ambion Illumina TotalPrep Amplification Kit (Ambion, Austin, TX) and labeled from all replicate biological samples for each condition. The number of tumor sample replicates used from each condition is as follows: 10 samples from young unirradiated mice, 8 samples from young irradiated mice, 7 samples from middle-aged unirradiated mice, 5 samples from middle-aged irradiated mice. Total RNA was isolated and purified using Trizol (Invitrogen) or RNeasy (Qiagen), quantified and qualified using Agilent Bioanalyzer (Agilent) and samples were deemed suitable for amplification and hybridization if they had O.D. 260/280 = 1.7 - 2.1, 28s/18s = 2:1, RIN (RNA integrity number) >7. Total RNA of 500ng per sample was amplified using Ambion TotalPrep (Ambion), and 1.5ug of the product was loaded onto the chips. Following hybridization at 55C, the chips were washed and then scanned using the Illumina iScan (Illumina), and the data were analyzed using GenomeStudio (Illumina). Data were first analyzed for gene expression and then culled for present genes (genes that meet the criteria of detection p-value < 0.05). Expression above background was included in an expressed genes working data set for further analyses. Rank variant normalization was applied to the data before extensive analysis. Differential gene expression analysis was used to compare to the reference group, young unirradiated mice, and genes were then evaluated and validated.
Fasting Mimic Diet Inhibits Tumor Progression by Targeting IgA+ Cells in Colorectal Cancer
GEO Series GSE212911. Mus musculus. 2 samples. Type: Expression profiling by high throughput sequencing.
NeuroD1-USP1-N-Myc axis drives tumor progression in neuroblastoma
GEO Series GSE285631. Homo sapiens. 9 samples. Type: Expression profiling by high throughput sequencing; Genome binding/occupancy profiling by high throughput sequencing.
Neuro-Glioblastoma Connectivity: Brain-Wide Mapping and Cholinergic Modulation of Tumor Progression
GEO Series GSE300506. Homo sapiens. 21 samples. Type: Expression profiling by high throughput sequencing.
ScienceDex guides
Understand access before you commit
These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.
Allen Brain Atlas
Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.
Annotated Behaviour and Observability Dataset (ABODe)
ABODe is a University of Edinburgh DataShare dataset for behavior classification in group-housed mice using home-cage video, identities, bounding boxes, ground-plate positions, and annotator labels.
DANDI Archive for NWB datasets
DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.
International Brain Laboratory public data
The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.
OpenNeuro
OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.