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Dataset results
34 results for “Cervical Squamous Cell Carcinoma”
TCGA Cervical Squamous Cell Carcinoma and Endocervical Adenocarcinoma (CESC) Gene Expression
<p><strong>Abstract:</strong></p> <p>The Cancer Genome Atlas (TCGA) was a large-scale collaborative project initiated by the National Cancer Institute (NCI) and the National Human Genome Research Institute (NHGRI). It aimed to comprehensively characterize the genomic and molecular landscape of various cancer types. This dataset contains information about CESC, a type of cancer that affects the cells lining the cervix and can have squamous cell or adenocarcinoma histological subtypes. The gene expression profile was measured experimentally using the Illumina HiSeq 2000 RNA Sequencing platform by the University of North Carolina TCGA genome characterization center. The Sample IDs serve as unique identifiers for each sample.</p> <p><strong>Inspiration:</strong></p> <p>This dataset was uploaded to UBRITE for GTKB project. </p> <p><strong>Instruction:</strong></p> <p>The log2(x+1) normalization was removed, and z-normalization was performed on the dataset using a Python script.</p> <p><strong>Acknowledgments:</strong></p> <p>Goldman, M.J., Craft, B., Hastie, M. et al. Visualizing and interpreting cancer genomics data via the Xena platform. Nat Biotechnol (2020). https://doi.org/10.1038/s41587-020-0546-8</p> <p>The Cancer Genome Atlas Research Network., Weinstein, J., Collisson, E. et al. The Cancer Genome Atlas Pan-Cancer analysis project. Nat Genet 45, 1113–1120 (2013). https://doi.org/10.1038/ng.2764</p> <p><strong>U-BRITE last update: </strong>07/13/2023</p>
Supplementary files for Molecular Differences Between Squamous Cell Carcinoma and Adenocarcinoma Cervical Cancer Subtypes: Potential Prognostic Biomarkers
<p>Supplementary files for Molecular Differences Between Squamous Cell Carcinoma and Adenocarcinoma Cervical Cancer Subtypes: Potential Prognostic Biomarkers</p>
TCGA Cervical Squamous Cell Carcinoma and Endocervical Adenocarcinoma (CESC) Clinical Data
<p><strong>Abstract:</strong></p> <p>The Cancer Genome Atlas (TCGA) was a large-scale collaborative project initiated by the National Cancer Institute (NCI) and the National Human Genome Research Institute (NHGRI). It aimed to comprehensively characterize the genomic and molecular landscape of various cancer types. This dataset includes curated survival data from the Pan-cancer Atlas paper titled <a href="http://www.cell.com/cell/fulltext/S0092-8674(18)30229-0">"An Integrated TCGA Pan-Cancer Clinical Data Resource (TCGA-CDR) to drive high quality survival outcome analytics"</a>. The paper highlights four types of carefully curated survival endpoints, and <a href="http://www.cell.com/action/showFullTableImage?isHtml=true&tableId=tbl3&pii=S0092867418302290">recommends the use of the endpoints of OS, PFI, DFI, and DSS for each TCGA cancer type</a>. The dataset also includes phenotypic information about CESC. The Sample IDs are unique identifiers, which can be paired with the gene expression dataset. </p> <p><strong>Inspiration:</strong></p> <p>This dataset was uploaded to UBRITE for GTKB project. </p> <p><strong>Instruction:</strong></p> <p>The survival and phenotype data were merged into one file. </p> <p><strong>Acknowledgments:</strong></p> <p>Goldman, M.J., Craft, B., Hastie, M. et al. Visualizing and interpreting cancer genomics data via the Xena platform. Nat Biotechnol (2020). https://doi.org/10.1038/s41587-020-0546-8</p> <p>Liu, Jianfang, Caesar-Johnson, Samantha J. et al. An Integrated TCGA Pan-Cancer Clinical Data Resource to Drive High-Quality Survival Outcome Analytics. Cell, Volume 173, Issue 2, 400 - 416.e11. <a href="https://doi.org/10.1016/j.cell.2018.02.052">https://doi.org/10.1016/j.cell.2018.02.052</a></p> <p>The Cancer Genome Atlas Research Network., Weinstein, J., Collisson, E. et al. The Cancer Genome Atlas Pan-Cancer analysis project. Nat Genet 45, 1113–1120 (2013). https://doi.org/10.1038/ng.2764</p> <p><strong>U-BRITE last update: </strong>07/13/2023</p>
Reconstruction of Cervical Lymphatic System During Head and Neck Squamous Cell Carcinoma Surgery
ClinicalTrials.gov study NCT06815705. IPD Sharing: YES. Countries: 1. Publications: 13.
Assessment of the Effect of Tumor Thickness and Site on Level IV Cervical Lymph Nodes in Squamous Cell Carcinoma of the Tongue and Floor of the Mouth: A Case Series Study
ClinicalTrials.gov study NCT06169605. IPD Sharing: YES. Countries: 1. Publications: 6.
Gene-expression analysis of Oncostatin-M (OSM) signalling in cervical squamous cell carcinomas over-expressing the Oncostatin-M receptor (OSMR)
GEO Series GSE27480. Homo sapiens. 72 samples. Type: Expression profiling by array.
Functional evidence that Drosha over-expression in cervical squamous cell carcinoma affects cell phenotype and microRNA profiles [miRNA]
GEO Series GSE26175. Human alphaherpesvirus 1; Human betaherpesvirus 5; Human immunodeficiency virus 1; Homo sapiens; Rhadinovirus; Betapolyomavirus hominis; JC polyomavirus; Betapolyomavirus macacae; Human alphaherpesvirus 2; Lymphocryptovirus; Merkel cell polyomavirus. 18 samples. Type: Non-coding RNA profiling by array.
Functional evidence that Drosha over-expression in cervical squamous cell carcinoma affects cell phenotype and microRNA profiles
GEO Series GSE26177. Human alphaherpesvirus 1; Human alphaherpesvirus 2; Lymphocryptovirus; Homo sapiens; Human betaherpesvirus 5; Rhadinovirus; Betapolyomavirus hominis; Betapolyomavirus macacae; JC polyomavirus; Human immunodeficiency virus 1; Merkel cell polyomavirus. 24 samples. Type: Non-coding RNA profiling by array; Expression profiling by array.
MicroRNAs related with metastasis in cervical squamous cell carcinoma and their clinical significance
GEO Series GSE112743. Homo sapiens. 8 samples. Type: Non-coding RNA profiling by array.
Decipher heterogeneity of cervical squamous cell carcinoma and adenocarcinoma with different HPV status: combining scRNA and TCR-seq with 3D organoid
GEO Series GSE197461. Homo sapiens. 16 samples. Type: Expression profiling by high throughput sequencing; Other.
An integrated genomics approach for novel biomarker discovery in squamous cell cervical carcinoma
GEO Series GSE27673. Homo sapiens. 37 samples. Type: Genome variation profiling by array.
Gain of the oncostatin M receptor in cervical squamous cell carcinoma is associated with adverse clinical outcome [penn1Mb data]
GEO Series GSE27331. Homo sapiens. 46 samples. Type: Genome variation profiling by genome tiling array.
Diagnostic Performance of 18F-FDG-PET and Diffusion-weighted MRI in the Assessment of Stage IB to IIB2 Cervical Squamous-cell Carcinoma Response to Concomitant Radiochemotherapy and Brachytherapy
ClinicalTrials.gov study NCT01663753. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Effect of Cervical Paraesophageal Lymph Node Metastasis Versus Supraclavicular Lymph Node Metastasis on the Overall Survival of Patients With Thoracic Esophageal Squamous Cell Carcinoma: An Observatio
ClinicalTrials.gov study NCT06165094. IPD Sharing: NO. Countries: 1. Publications: 0.
Nimotuzumab Combined With Chemoradiotherapy Versus Chemoradiotherapy for Local Advanced Cervical Squamous Cell Carcinoma
ClinicalTrials.gov study NCT04678791. IPD Sharing: NO. Countries: 1. Publications: 0.
A Study of BIND-014 in Patients With Urothelial Carcinoma, Cholangiocarcinoma, Cervical Cancer and Squamous Cell Carcinoma of the Head and Neck
ClinicalTrials.gov study NCT02479178. IPD Sharing: Not stated. Countries: 2. Publications: 0.
Fluciclovine F18 PET/CT in Identifying the Origin of Head and Neck Squamous Cell Carcinoma in Patients With Metastatic Cervical Nodal Disease
ClinicalTrials.gov study NCT03868020. IPD Sharing: Not stated. Countries: 1. Publications: 0.
A Prospective Randomized Controlled Study of Radiotherapy and the Concurrent Three-week and Single-week TP Chemotherapy for Advanced Cervical Squamous Cell Carcinoma and the Correlation Between HPV Cl
ClinicalTrials.gov study NCT04588090. IPD Sharing: NO. Countries: 1. Publications: 0.
Study of Nimotuzumab Combined With IMRT in Elder Patients With Cervical Squamous Cell Carcinoma
ClinicalTrials.gov study NCT04976478. IPD Sharing: NO. Countries: 1. Publications: 0.
Cervical Nodal Mets in Squamous Cell Carcinoma of H&N - MRI, FDG-PET, & Histopathologic Correlation
ClinicalTrials.gov study NCT00313027. IPD Sharing: Not stated. Countries: 1. Publications: 0.
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)
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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.