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1,174
datasets available to search
ShareScore release 0.7.1
Dataset results
1,174 results for “cancer genomics”
Genome-scale CRISPR-Cas9 screen of OVCAR3 and CCL218 cancer cells with or without hydroxychloroquine
GEO Series GSE245215. Homo sapiens. 40 samples. Type: Other.
Multi-omic study of genome-edited human colonoids reveal patterns of microRNA regulation specific to different colorectal cancer mutation profiles
GEO Series GSE231436. Homo sapiens. 34 samples. Type: Expression profiling by high throughput sequencing; Other; Non-coding RNA profiling by high throughput sequencing.
Deterioration of multi-level 3D genome organization during breast cancer progression
GEO Series GSE246689. Homo sapiens. 9 samples. Type: Expression profiling by high throughput sequencing.
Integration of genomic and clinical data to predict endometrioid endometrial cancer recurrence
GEO Series GSE216872. Homo sapiens. 61 samples. Type: Expression profiling by high throughput sequencing.
Functional dissection of MIEN1 trans-regulation provides new evidence for colorectal cancer genome editing-based therapeutics
GEO Series GSE123734. Homo sapiens. 8 samples. Type: Expression profiling by high throughput sequencing.
Genome-wide identification of AP-2α by ChIP-chip in breast cancer cell line MCF7
GEO Series GSE128589. Homo sapiens. 3 samples. Type: Genome binding/occupancy profiling by genome tiling array.
Isolated and characterized colorectal cancer stem cells and normal stem cells isolated from colorectal cancer tissues and normal colon tissues by whole genome expression microarray
GEO Series GSE160988. Homo sapiens. 12 samples. Type: Expression profiling by array.
A Cancer rainbow mouse for visualizing the functional genomics of field cancerization
GEO Series GSE132402. Mus musculus. 16 samples. Type: Expression profiling by high throughput sequencing.
Genome-wide analysis of gene expression in bladder cancer cell lines 253JB-V and UM-UC13 exposed to bortezomib
GEO Series GSE46132. Homo sapiens. 8 samples. Type: Expression profiling by array.
Analysis of HER2 genomic binding in breast cancer cells identifies a global role in direct gene regulation
GEO Series GSE79778. Homo sapiens. 20 samples. Type: Expression profiling by high throughput sequencing; Genome binding/occupancy profiling by high throughput sequencing.
Genome-wide maps of chromatin state in gastric cancer with malignant ascites [ChIP-seq]
GEO Series GSE162213. Homo sapiens. 176 samples. Type: Genome binding/occupancy profiling by high throughput sequencing.
Distinct genomic and immunologic tumor evolution in germline TP53-driven breast cancers
GEO Series GSE306117. Homo sapiens. 74 samples. Type: Expression profiling by high throughput sequencing.
Dataset related to article "Copy number alterations in stage I epithelial ovarian cancer highlight three genomic patterns associated to prognosis"
<p>This record contains data related to article "Copy number alterations in stage I epithelial ovarian cancer highlight three genomic patterns associated to prognosis"</p> <p><strong>Background: </strong>Stage I epithelial ovarian cancer (EOC) encompasses five histologically different subtypes of tumors confined to the ovaries with a generally favorable prognosis. Despite the intrinsic heterogeneity, all stage I EOCs are treated with complete resection and adjuvant therapy in most of the cases. Owing to the lack of robust prognostic markers, this often leads to overtreatment. Therefore, a better molecular characterization of stage I EOCs could improve the assessment of the risk of relapse and the refinement of optimal treatment options.</p> <p><strong>Materials and methods: </strong>205 stage I EOCs tumor biopsies with a median follow-up of eight years were gathered from two independent Italian tumor tissue collections, and the genome distribution of somatic copy number alterations (SCNAs) was investigated by shallow whole genome sequencing (sWGS) approach.</p> <p><strong>Results: </strong>Despite the variability in SCNAs distribution both across and within the histotypes, we were able to define three common genomic instability patterns, namely stable, unstable, and highly unstable. These patterns were based on the percentage of the genome affected by SCNAs and on their length. The genomic instability pattern was strongly predictive of patients' prognosis also with multivariate models including currently used clinico-pathological variables.</p> <p><strong>Conclusions: </strong>The results obtained in this study support the idea that novel molecular markers, in this case genomic instability patterns, can anticipate the behavior of stage I EOC regardless of tumor subtype and provide valuable prognostic information. Thus, it might be propitious to extend the study of these genomic instability patterns to improve rational management of this disease.</p>
Dataset related to article "Genomic instability analysis in DNA from Papanicolaou test provides proof-of-principle early diagnosis of high-grade serous ovarian cancer"
<p>This record contains data related to the article "Genomic instability analysis in DNA from Papanicolaou test provides proof of principle early diagnosis of high-grade serous ovarian cancer".</p><p>Abstract</p><p>Late diagnosis and the lack of screening methods for early detection define high-grade serous ovarian cancer (HGSOC) as the gynecological malignancy with the highest mortality rate. In the work presented here, we investigated a retrospective and multicentric cohort of 250 archival Papanicolaou (Pap) test smears collected during routine gynecological screening. Samples were taken at different time points (from 1 month to 13.5 years before diagnosis) from 113 presymptomatic women who were subsequently diagnosed with HGSOC (pre-HGSOC) and from 77 healthy women. Genome instability was detected through low-pass whole-genome sequencing of DNA derived from Pap test samples in terms of copy number profile abnormality (CPA). CPA values of DNA extracted from Pap test samples from pre-HGSOC women were substantially higher than those in samples from healthy women. Consistently with the longitudinal analysis of clonal pathogenic <i>TP53</i> mutations, this assay could detect HGSOC presence up to 9 years before diagnosis. This finding confirms the continual shedding of tumor cells from fimbriae toward the endocervical canal, suggesting a new path for the early diagnosis of HGSOC. We integrated the CPA score into the EVA (early ovarian cancer) test, the sensitivity of which was 75% (95% CI, 64.97 to 85.79), the specificity 96% (95% CI, 88.35 to 100.00), and the accuracy 81%. This proof-of-principle study indicates that the early diagnosis of HGSOC is feasible through the analysis of genomic alterations in DNA from endocervical smears.</p>
Genome-wide analysis of matched microRNA-mRNA time-course data after androgen injection to prostate cancer LNCaP cell line
GEO Series GSE21245. Homo sapiens. 20 samples. Type: Expression profiling by array; Non-coding RNA profiling by array.
Drug screening and genomic analyses of HER2 positive breast cancer cell lines reveal predictors for treatment response [CGH]
GEO Series GSE58886. Homo sapiens. 4 samples. Type: Genome variation profiling by genome tiling array.
Integrative genome-wide analysis in non-small cell lung cancer cells
GEO Series GSE63356. Homo sapiens. 8 samples. Type: Expression profiling by high throughput sequencing; Genome binding/occupancy profiling by high throughput sequencing.
Genome-wide analysis of gene expression by LSD1 overexpression or inhibiting by ORY1001 with or without irradiation in MDA-MB-231 breast cancer cells
GEO Series GSE120193. Homo sapiens. 6 samples. Type: Expression profiling by array.
Genome-wide synthetic lethal Crispr screen identifies SRM as a target that enhances erdafitinib efficacy in FGFR-mutant bladder cancer
GEO Series GSE276411. Homo sapiens. 6 samples. Type: Expression profiling by high throughput sequencing.
Genome-wide analysis of fatty acid synthase (FASN) gene silenced retinoblastoma cancer cells (WERI RB1) using cDNA microarray analysis
GEO Series GSE63746. Homo sapiens. 8 samples. Type: Expression profiling by array.
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.