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2,756 results for “Head and neck”
Expression data of the cetuximab-resistant head and neck squamous cell lines and the parental cell lines.
GEO Series GSE131108. Homo sapiens. 2 samples. Type: Expression profiling by array.
The influence of the Chelidonium majus extract NSC-631570 on gene expression in the head and neck carcinoma cell line FaDu
GEO Series GSE115874. Homo sapiens. 3 samples. Type: Expression profiling by array.
Cetuximab resistant or sensitive head and neck cancer samples
GEO Series GSE36790. Homo sapiens. 10 samples. Type: Genome variation profiling by SNP array.
Real time quantitative PCR analysis of serum circulating miRNAs from patients with head and neck tumors.
GEO Series GSE143491. Homo sapiens. 90 samples. Type: Expression profiling by RT-PCR.
EZH2 reads DNA 6mA to regulate survival and drug resistance of human head and neck squamous carcinoma by suppressing RIOX2-CDKN1A-NRF2 signaling axis [MeDIP-ChIP-seq-shRNA]
GEO Series GSE212437. Homo sapiens. 17 samples. Type: Genome binding/occupancy profiling by high throughput sequencing; Methylation profiling by high throughput sequencing.
Dataset related to article "Muscle quality and not quantity as a predictor of survival in head and neck squamous cell carcinoma "
<p>This record contains raw data related to article "Muscle quality and not quantity as a predictor of survival in head and neck squamous cell carcinoma"</p><p><strong>Abstract</strong></p><p>Background: Sarcopenia is frequent in head and neck squamous cell carcinoma (HNSCC), as a consequence of malnutrition related to risk factors or tumoral mass. Treatment is associated with toxicities that lead to reduced calories intake and muscle mass wasting. Sarcopenia has been negatively associated with tumor control and survival outcomes.</p><p>Purpose: Our aim is to evaluate the prognostic impact of sarcopenia on overall survival (OS) and progression free survival (PFS) in HNSCC patients undergoing chemoradiation therapy within a prospective clinical trial of chemoradiation vs induction chemotherapy followed by radiation and cetuximab (INTERCEPTOR).</p><p>Materials and methods: On baseline CT or MRI, we investigated the association between OS and PFS with radiological markers of sarcopenia, measured at the third cervical vertebra level. We studied paravertebral skeletal muscles area (cm2), muscle density (HU), muscle index (cm2/m2), and intermuscular adipose tissue (IMAT) area (cm2).</p><p>Results: Imaging of 128 patients was evaluable. We found out that higher body mass index (BMI) was associated with better OS (p = 0.02), and PFS (p = 0.04). Skeletal muscle area (p = 0.02), and IMAT (p = 0.02) were negatively associated with PFS. IMAT was positively correlated with muscle area (Correlation coefficient 0.6, CI95% 0.47-0.7), and negatively associated with muscle density (Correlation coefficient -0.37, CI95% -0.53 - -0.18).</p><p>Conclusions: IMAT can be used as predictor of PFS in HNC patients undergoing chemoradiation therapy. The amount of intermuscular fat deposits induces alterations of muscle quality, without alterations of muscle quantity, influencing patients' prognosis.</p>
Dataset related to article "Adaptive Volumetric-Modulated Arc Radiation Therapy for Head and Neck Cancer: Evaluation of Benefit on Target Coverage and Sparing of Organs at Risk"
<p>This record contains raw data related to article "Adaptive Volumetric-Modulated Arc Radiation Therapy for Head and Neck Cancer: Evaluation of Benefit on Target Coverage and Sparing of Organs at Risk"</p><p><strong>Abstract</strong></p><p><strong>Background: </strong>Radiotherapy is essential in the management of head-neck cancer. During the course of radiotherapy, patients may develop significant anatomical changes. Re-planning with adaptive radiotherapy may ensure adequate dose coverage and sparing of organs at risk. We investigated the consequences of adaptive radiotherapy on head-neck cancer patients treated with volumetric-modulated arc radiation therapy compared to simulated non-adaptive plans: Materials and methods: We included in this retrospective dosimetric analysis 56 patients treated with adaptive radiotherapy. The primary aim of the study was to analyze the dosimetric differences with and without an adaptive approach for targets and organs at risk, particularly the spinal cord, parotid glands, oral cavity and larynx. The original plan (OPLAN) was compared to the adaptive plan (APLAN) and to a simulated non-adaptive dosimetric plan (DPLAN).</p><p><strong>Results: </strong>The non-adaptive DPLAN, when compared to OPLAN, showed an increased dose to all organs at risk. Spinal cord D2 increased from 27.91 (21.06-31.76) Gy to 31.39 (27.66-38.79) Gy (<i>p</i> = 0.00). V15, V30 and V45 of the DPLAN vs. the OPLAN increased by 20.6% (<i>p</i> = 0.00), 14.78% (<i>p</i> = 0.00) and 15.55% (<i>p</i> = 0.00) for right parotid; and 16.25% (<i>p</i> = 0.00), 18.7% (<i>p</i> = 0.00) and 20.19% (<i>p</i> = 0.00) for left parotid. A difference of 36.95% was observed in the oral cavity V40 (<i>p</i> = 0.00). Dose coverage was significantly reduced for both CTV (97.90% vs. 99.96%; <i>p</i> = 0.00) and PTV (94.70% vs. 98.72%; <i>p</i> = 0.00). The APLAN compared to the OPLAN had similar values for all organs at risk.</p><p><strong>Conclusions: </strong>The adaptive strategy with re-planning is able to avoid an increase in dose to organs at risk and better target coverage in head-neck cancer patients, with potential benefits in terms of side effects and disease control.</p>
Dataset related to article "Predictive value of clinical and radiomic features for radiation therapy response in patients with lymph node-positive head and neck cancer"
<p><strong> Abstract</strong></p><p>Background: Prediction of survival and radiation therapy response is challenging in head and neck cancer with metastatic lymph nodes (LNs). Here we developed novel radiomics- and clinical-based predictive models.</p><p>Methods: Volumes of interest of LNs were employed for radiomic features extraction. Radiomic and clinical features were investigated for their predictive value relatively to locoregional failure (LRF), progression-free survival (PFS), and overall survival (OS) and used to build multivariate models.</p><p>Results: Hundred and six subjects were suitable for final analysis. Univariate analysis identified two radiomic features significantly predictive for LRF, and five radiomic features plus two clinical features significantly predictive for both PFS and OS. The area under the curve of receiver operating characteristic curve combining clinical and radiomic predictors for PFS and OS resulted 0.71 (95%CI: 0.60-0.83) and 0.77 (95%CI: 0.64-0.89).</p><p>Conclusions: Radiomic and clinical features resulted to be independent predictive factors, but external independent validation is mandatory to support these findin</p>
Ergonomics of Head Movement in XR: Characterising Neck Muscle Activity During Interaction with Head-mounted Displays
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Phase I clinical trials landscape for patients with head and neck cancers in a tertiary referral centre
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Targeting PLK1 with Onvansertib and Radiation in Head and Neck Cancer
GEO Series GSE306710. Homo sapiens. 24 samples. Type: Expression profiling by high throughput sequencing.
Glutamine inhibition combined with CD47 blockade enhances radiotherapy-induced ferroptosis in head and neck squamous cell carcinoma
GEO Series GSE228679. Mus musculus; Mus. 10 samples. Type: Genome binding/occupancy profiling by high throughput sequencing; Expression profiling by high throughput sequencing.
The influence of Chelidonine on gene expression in the head and neck carcinoma cell line FaDu
GEO Series GSE107464. Homo sapiens. 4 samples. Type: Expression profiling by array.
Suqamous Cell Carcinoma of Head and Neck
GEO Series GSE2326. Homo sapiens. 38 samples. Type: Expression profiling by array.
The expression profile of Cetuximab resistance in head-and-neck squamous cell carcinoma cells.
GEO Series GSE63916. Homo sapiens. 2 samples. Type: Expression profiling by array.
Expression analysis of radio-resistant and -sensitive head and neck cancer cells
GEO Series GSE217645. Homo sapiens. 33 samples. Type: Expression profiling by high throughput sequencing.
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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.