Find research datasets worth reusing
Search datasets from major research repositories and use ShareScore to quickly assess how well each record supports discovery, access, and reuse.
305
datasets available to search
ShareScore release 0.9.0
Dataset results
305 results for “Oral Squamous Cell Carcinoma”
Oral Squamous Cell Carcinoma - Mass Spectrometry Imaging
<p>The dataset was first featured in <a href="https://analyticalsciencejournals.onlinelibrary.wiley.com/doi/abs/10.1002/pmic.201500458">Widlak, Piotr, et al. "Detection of molecular signatures of oral squamous cell carcinoma and normal epithelium–application of a novel methodology for unsupervised segmentation of imaging mass spectrometry data." <em>Proteomics</em> 16.11-12 (2016): 1613-1621</a>. For the tissue sample's biochemical preparation details, please refer to the original publication.</p> <p>The biological material was collected from five patients who underwent surgery due to Oral Squamous Cell Carcinoma (OSCC). Tissue samples contained both tumor and surrounding healthy tissue.</p> <p>Each specimen was cut into 10 µm sections in a cryostat. During the sample preparation for the MS imaging, a high-resolution optical scan of each section was captured.</p> <p>Tissue sections were subjected to peptide imaging with the use of a MALDI ToF mass spectrometer. Spectra were recorded within <em>m/z</em> range of 800-4,000. A raster width of 100 µm was applied, and 400 shots were collected from each ablation point. The obtained dataset consisted of 45,738 raw spectra with 109,568 mass channels.</p> <p>An experienced pathologist analyzed the optical scan obtained during the data acquisition process, and tissue regions were annotated. For the highest confidence of the results obtained in this work, we will focus on the two tissue samples out of the entire dataset (8,005 and 11,869 spectra), which have the highest confidence labels, as explained by the pathologist.</p> <p>The preprocessing of the spectra was conducted in MATLAB. Standard preprocessing steps were applied to the spectra. Spectra were resampled to unify the <em>m/z</em> axis across the dataset. The baseline was removed with MATLAB procedure <em>msbackadj()</em> from the Bioinformatics Toolbox. Peaks were aligned using Fast Fourier Transform-based spectral alignment. The TIC normalization ensured a similar intensity level for all spectra. Finally, a GMM approach was used to model the spectra. GMM locates the peak but also estimates the peak area instead of a raw magnitude provided by most methods. Note that the peaks in MSI spectra are right-skewed, so the neighboring GMM components resulting from that phenomenon were identified and merged to better correspond to actual chemical compounds. The resulting dataset is characterized by 3,714 GMM components corresponding to MSI spectrum peaks.</p>
Molecular Signatures of Tumour and its Microenvironment for Precise Quantitative Diagnosis of Oral Squamous Cell Carcinoma: An Interna-tional Multi-cohort Diagnostic Validation Study
<p><strong>Supplementary Materials: </strong>The following supporting information can be downloaded at: www.mdpi.com/xxx/s1, <strong>Table ST1</strong> – qMIDS<sup>V2 </sup>Gene panel primer sequences; <strong>Figure S1</strong> – qMIDS<sup>V1</sup> vs qMIDS<sup>V2</sup> 384-well assay format and protocols; <strong>Figure S2.</strong> Individual target gene expression pattern in 1761 samples; <strong>Figure S3.</strong> Various statistical methods used for gene selection analysis on 1761 clinical samples; <strong>Figure S4. </strong>Diagnostic performance comparison between qMIDS<sup>V2</sup> vs qMIDS<sup>V2* </sup>(with 4 less effective genes removed from the panel of 14 target genes of qMIDS<sup>V2</sup>); <strong>Figure S5</strong>. Effect of removing individual genes from the 14-target gene panel qMIDS<sup>V2</sup> (qV2) on diagnostic test performance based on the UK patient cohort data.</p>
High-resolution AI image dataset for diagnosing oral submucous fibrosis and squamous cell carcinoma
<p>This deposition contains only training dataset of ORCHID database. The validation and test dataset related to the same study can be found at DOI: <strong>10.5281/zenodo.12646943.</strong></p>
"PROGNOSTIC ROLE OF TUMOR BUDDING IN ORAL SQUAMOUS CELL CARCINOMA"
<p>Master Data Sheet</p>
The Clinical Significance of Serum p53 Antibody Levels in Patients with Oral Squamous Cell Carcinoma in Japanese Clinical Practice
<p>Supplementary Figure S1. Serum anti-p53 antibody titers in each clinical stage.<br> Supplementary Table S1. The change of Ap53Ab titer in patients with OSCC after surgery.</p>
Hormone receptors AR, ER, PR and growth factor receptor Her-2 expression in oral squamous cell carcinoma: Correlation with overall survival, disease-free survival and 10-year survival in a high-risk population
<p>Oral squamous cell carcinoma (OSCC) comprises most of head and neck neoplasms and is one of the highest-ranking and lethal cancers in Pakistan due to prevailing mouth habits. Growth and hormonal receptors act as prognostic markers and targets for therapy in some cancers, but their application in OSCC is largely unexplored. This study aimed to evaluate the expression of growth and hormonal receptors in OSCC patients and correlate it with 10-year, overall and disease-free survival. To achieve this objective, immunohistochemistry for Her-2, AR, ER and PR was performed on 100 formalin-fixed paraffin-embedded primary OSCC specimens. Receptor expression was correlated with mouth habits and clinicopathological features and patient survival was analyzed using Kaplan-Meier method and Cox regression univariate analysis. We observed that in 100 patients, there were 57 males and 43 females. Immunopositive Her-2 expression was observed in 21% of patients, AR in 13%, ER in 3% and 0% for PR. Patients with betel quid/areca nut mouth habits had significantly absent Her-2 expression (P=0.035). Also, Her-2 negative patients were also negative for AR expression (P=0.002). Her-2 positive patients had poor 10-year survival (P=0.041). A trend of low survival and high recurrence rate was observed in AR positive patients, but this was not significant (P=0.072). No statistically relevant correlations were seen in the case of ER and PR. In conclusion, Her-2 may be a valuable marker for predicting long-term prognosis of OSCC patients.</p>
The effect of extracellular vesicles derived from oral squamous cell carcinoma on the metabolic profile of oral fibroblasts
<p><span>Oral cancer is one of the most common forms of head and neck cancers. Oral squamous cell carcinoma (OSCC) accounts for more than 90% of the oral malignancies. The molecular pathogenesis of OSCC is complex as it involves altered expression of specific genes and proteins, but also comprises changes in metabolic processes. It is suggested that extracellular vesicles (EVs) released by cancer cells may contribute to cancer development and metastasis by recruiting and changing phenotype of normal cells that surround the tumor. The aim of the project was to characterize the effect of OSCC EVs on the metabolic profile of normal oral fibroblasts (NOFs). Targeted </span><span>liquid chromatography-mass spectrometry metabolic profiling was performed on control cells and NOFs exposed to OSCC EVs for 24 and 48 h. Analysis of detected metabolites revealed that OSCC EVs affected NOFs the most after 24 h of exposure. Among metabolites that were significantly altered at 24 h, </span><span>pyruvate, ATP, UTP, coenzyme A, and dihydroxyacetone phosphate were upregulated, while fatty acids such as nervonic acid, linoleate, oleate, palmitoleic acid, and docosahexaenoic acid were downregulated. These findings were supported by Western blotting of pyruvate kinase M2 (PKM2). The metabolic pathways of glycolysis, </span><span>citric acid cycle, and </span><span>amino acid metabolism were enriched, suggesting that OSCC EVs cause phenotype switch in NOFs that may contribute to </span><span>acquiring</span><span> a pro-tumorigenic phenotype.</span></p>
Window Study of Nivolumab With or Without Ipilimumab in Squamous Cell Carcinoma of the Oral Cavity
ClinicalTrials.gov study NCT02919683. IPD Sharing: NO. Countries: 1. Publications: 2.
Neoadjuvant PD-1 Blockade in Resectable Oral Squamous Cell Carcinoma
ClinicalTrials.gov study NCT04649476. IPD Sharing: NO. Countries: 1. Publications: 2.
Melatonin Effect in Combination With Neoadjuvant Chemotherapy to Clinical Response in Locally Advanced Oral Squamous Cell Carcinoma
ClinicalTrials.gov study NCT04137627. IPD Sharing: NO. Countries: 1. Publications: 1.
IRX-2 Regimen in Patients With Newly Diagnosed Stage II, III, or IVA Squamous Cell Carcinoma of the Oral Cavity
ClinicalTrials.gov study NCT02609386. IPD Sharing: Not stated. Countries: 4. Publications: 3.
Safety and Efficacy Study of PRV111 in Subjects With Oral Squamous Cell Carcinoma
ClinicalTrials.gov study NCT03502148. IPD Sharing: NO. Countries: 1. Publications: 1.
Hormone receptors AR, ER, PR and growth factor receptor Her-2 expression in oral squamous cell carcinoma: Correlation with overall survival, disease-free survival and 10-year survival in a high-risk population
Open the record for dataset details and reuse information.
Opportunities for targeted therapies: trametinib as a therapeutic approach to canine oral squamous cell carcinomas
Open the record for dataset details and reuse information.
Raw IMC files for Spatial subsetting enables integrative modeling of oral squamous cell carcinoma multiplex imaging data.
<p>Raw MCD files for the Stanford cohort of oral squamous cell carcinoma patients in this publication:</p> <p>Spatial subsetting enables integrative modeling of oral squamous cell carcinoma multiplex imaging data (DOI:<span> <a href="https://doi.org/10.1016/j.isci.2023.108486" target="_blank" rel="noopener">10.1016/j.isci.2023.108486</a>).</span></p>
CLIC1 plasma concentration is associated with lymph node metastases in oral squamous cell carcinoma - Supplementary Material (Statistical Analysis)
<p>Supplementary file containing detailed statistical analysis of results of the article <em>CLIC1 plasma concentration is associated with lymph node metastases in oral squamous cell carcinoma.</em></p>
Validation and Test Datasets for "High-resolution AI image dataset for diagnosing oral submucous fibrosis and squamous cell carcinoma"
<p>This deposition contains the validation and test dataset for our study "High-resolution AI image dataset for diagnosing oral submucous fibrosis and squamous cell carcinoma".</p> <p>The training dataset for this study can be found at the following DOI: [<strong>10.5281/zenodo.12636426</strong>].<br><br></p>
Genetic alterations and expression programs of oral squamous cell carcinoma associated with betel quid chewing
<p><span>Betel quid (BQ) chewing is a profound risk for</span><span> oral squamous cell carcinoma (OSCC) <span>in Southeast Asia.</span> To decipher contributory genomic abnormalities and transcriptional reprogramming in these malignancies, we conducted a multi-omics survey, including exome sequencing of tumor-normal pairs from <span>261 male </span>patients with OSCC (129 habitual BQ chewers and 132 non-BQ users), alone with integrated single-cell and spatial transcriptomics of a set of tumors. Comparative analyses of the mutational catalog identified enrichment of significantly altered genes (e.g mutations of <em>TP53</em> and <em>CHUK</em>, copy gains of <em>MAP3K13</em> and <em>FADD</em>, copy losses of <em>CDKN2A</em>) and mutational signatures associated with BQ chewing. Assessment of oncogenic and co-occurring actionable alterations demonstrated frequently altered oncogenic pathways (Hippo and p53 signaling) and potential combination therapy opportunities linked to BQ use. In addition, evaluation of epithelial, immune, stromal expression programs in the corresponding tissue compartments revealed a shift of tumor microenvironment in BQ-related OSCC, characterized by induced hypoxia of tumor epithelium, altered immunosuppression of dendritic cells, and raised sprouting angiogenesis of tumor endothelium. Quantitative predictions of intercellular communications inferred a more heterogeneous cell-cell crosstalk among BQ-related OSCC, highlighted by extensive interactions of fibroblasts and dendritic cells with other non-epithelial cell types via mostly extracellular matrix-receptor signaling pathways. Collectively, these differences in genomic landscape and tumor niche suggest that OSCC caused by BQ chewing could be an etiological subtype different from their BQ-negative counterparts.</span></p>
Master chart- Oral Squamous Cell Carcinoma cases
<p>Details of OSCC patients demographic data , clinical and histopathological diagnosis</p>
Salivary chemical barrier proteins in Oral Squamous Cell Carcinoma – Alterations in the defense mechanism of the oral cavity
<p>Oral squamous cell carcinoma (OSCC) is one of the most frequent type of head and neck cancers. Despite the genetic and environmental risk factors, OSCC is also associated with microbial infections and/or dysbiosis. The secreted saliva serves as the chemical barrier of the oral cavity and since OSCC can alter the protein composition of saliva, our aim was to analyze the effect of OSCC on the salivary chemical barrier proteins. Publicly available datasets regarding the analysis of salivary proteins from patients with OSCC and controls were collected and examined in order to identify differentially expressed chemical barrier proteins. The network analysis and gene onthology (GO) classification of the differentially expressed chemical barrier proteins were performed, as well. 127 proteins showing different expression pattern between the OSCC and control groups were found. The protein-protein interaction network of up- and down-regulated proteins were constructed and analyzed. The main hub proteins (IL-6, IL-1B, IL-8, TNF, APOA1, APOA2, APOB, APOC3, APOE, and HP) were identified and the enriched GO terms were examined. Our study highlighted the importance of the chemical barrier of saliva in the development of OSCC.</p>
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.