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Dataset results
129 results for “survival analysis”
Single-cell analysis of Rohon-Beard neurons implicates Fgf signaling in axon maintenance and cell survival [larva]
GEO Series GSE241296. Danio rerio. 1 samples. Type: Expression profiling by high throughput sequencing.
Epigenetic mechanism and survival prognosis analysis of serum exosomes from ovarian cancer patients based on sequencing technology and Bioinformatics
GEO Series GSE194238. Homo sapiens. 6 samples. Type: Expression profiling by high throughput sequencing.
Temporal analysis of Brd4 displacement in the role of B cell survival, proliferation and differentiation
GEO Series GSE156126. Mus musculus. 32 samples. Type: Expression profiling by high throughput sequencing; Genome binding/occupancy profiling by high throughput sequencing.
Dataset related to article "Predictive factors for survival outcomes of oligometastatic prostate cancer patients treated with metastases-directed therapy: a recursive partitioning-based analysis."
<p>PURPOSE:</p> <p>The aim of the present study was to provide predictive factors for survival outcomes of oligometastatic prostate cancer (PC) patients treated with stereotactic body radiation therapy (SBRT) as a metastases-directed therapy (MDT).</p> <p>METHODS:</p> <p>In this cohort study, endpoints included overall survival (OS), progression-free survival (PFS), distant progression-free survival (DFS) and local control of treated metastases (LC). The binary classification tree approach with recursive partitioning analysis (RPA) was applied to stratify the patients into risk groups based on OS, PFS and DPFS; for each endpoint, disease-free interval (DFI) was calculated. We included patients with synchronous or metachronous metastases from prostate adenocarcinoma treated with SBRT.</p> <p>RESULTS:</p> <p>119 Metastases were treated with SBRT in 92 patients. Median follow-up was 22.2 months. Rates of OS at 1 and 3 years were 96.9% and 88.0%, while DPFS was 51.9% and 20.9%. Recursive partitioning analysis identified three prognostic classes for OS: Class 1: castration-sensitive patients (3 years OS 95%); Class 2: castration-resistant patients with low-intermediate risk NCCN disease (3 years OS 88.8%); Class 3: castration-resistant patients with high-risk NCCN disease (3 years OS 76.9%). Regarding DPFS, RPA divided patients into two classes, according to a cutoff value of DFI of 34 months (3 years PFS of 28.7% vs 5.8%). Three classes were identified for DPFS: Class 1: DFI < 34 months (3 years DPFS 9.1%); Class 2: DFI > 34 months and high-risk NCCN PC (3 years DPFS 21%); Class 3: DFI > 34 months and low-intermediate risk NCCN disease (3 years DPFS 60.2%).</p> <p>CONCLUSION:</p> <p>Oligometastatic PC represents nowadays a setting of particular interest in which local ablative therapies play a decisive role. In the present study, we recognized the importance of DFI, together with NCCN class risk, to predict the risk of new metastases after SBRT in oligometastatic PC.</p>
Dataset related to article "Recursive partitioning model-based analysis for survival of colorectal cancer patients with lung and liver oligometastases treated with stereotactic body radiation therapy"
<p>This record contains raw data related to article “Recursive partitioning model-based analysis for survival of colorectal cancer patients with lung and liver oligometastases treated with stereotactic body radiation therapy"</p> <p><strong>Introduction: </strong>Liver and lung are common sites of metastases from colorectal cancer (CRC). Stereotactic body radiation therapy (SBRT) represents a valid treatment, with high rates of local control (LC). In this study, we applied recursive partitioning model-based analysis (RPA) to define class risks for overall survival (OS) and progression free survival (PFS) in oligometastatic CRC patients.</p> <p><strong>Materials and methods: </strong>In this monocentric analysis, we included patients with lung or liver metastases. Patients were candidate to SBRT if a maximum of 5 metastases. End points of the present analysis were LC, PFS, and OS. The binary classification tree approach with RPA was applied to stratify the patients into risk groups based on OS and PFS.</p> <p><strong>Results: </strong>218 patients were treated with SBRT on 371 metastases. Majority of patients (56%) was treated on single lesion, followed by 2 (26.1%) and 3 lesions (14.7%). Median follow-up was 22.7 months. Rates of LC were 84.2% at 1 year and 73.8% at 3 years. Rates of PFS at 1 and 3 years were 42.2% and 14.9%, respectively. RPA identified 3 classes for PFS, according to age and number of metastases with 3-year PFS of 30.6%, 13.5% and 8.4%. Overall survival was 87.2% at 1 year, 51.9% at 3 years, and 36.8% at 5 years. RPA identified 3 nodes. Class 1 included patients with liver metastases (3-year OS 35.2%). Class 2 included patients with lung metastases and DFI ≤ 48 months (3-year OS 65%). Class 3 included patients with lung metastases and DFI > 48 months (3-year OS 73.5%).</p> <p><strong>Conclusions: </strong>Stereotactic body radiation therapy can be considered an effective treatment for the management of liver and lung metastases from CRC. With RPA, we identified prognostic risk class to define patients who could benefit the most from SBRT.</p>
Dataset related to article "Early age of onset is an independent predictor for worse disease-free survival in sporadic rectal cancer patients. A comparative analysis of 980 consecutive patients "
<p>This record contains raw data related to article “Early age of onset is an independent predictor for worse disease-free survival in sporadic rectal cancer patients. A comparative analysis of 980 consecutive patients"</p> <p><strong>Background: </strong> while interest on early-onset colorectal cancer (age ≤49) is on the rise, studies on early-onset rectal cancer (EORC) are limited. The aim of this study was to compare predictors for disease progression/recurrence between sporadic EORC and late-onset RC patients (LORC).</p> <p><strong>Methods: </strong> 163 EORC and 830 LORC operated between January 1st<sup>,</sup> 2010 and April 30th<sup>,</sup> 2021 at a tertiary center were included. Demographics, tumor characteristics, microsatellite status, gene mutations (KRAS, BRAF, NRAS, PI3Kca) and oncologic outcomes were compared. A Cox proportional hazards regression analysis was performed to ascertain the effect of variables on recurrence/progression and death. Recurrence/Progression free survival (R/PFS) and cancer specific survival (CSS) were analyzed by the Kaplan-Meier estimator.</p> <p><strong>Results: </strong> Mean age of EORC was 42.16, (46% aged 45-49). A majority of EORC patients had a family history for CRC (p = 0.01) and underwent total neoadjuvant treatment (p = 0.01). EORC patients showed a higher rate of low-grade tumor differentiation (p < 0.0001), stage III-IV (p = 0.001), microsatellite instability (p = 0.02), locoregional nodal (p = 0.001) and distant metastases (p < 0.0001). Accordingly, more EORC patients underwent adjuvant treatment (p < 0.0001). Mutations were mostly reported among LORC cases (p = 0.04), whereas EORC patients showed a worse R/PFS (p = 0.02), even at stage I (p = 0.04). CSS did not differ (p = 0.11) across groups. Multivariate analysis indicated age of onset (p = 0.04) was an independent predictor for progression/recurrence.</p> <p><strong>Conclusions: </strong> Age of onset was shown to be an independent unfavorable predictor. Delayed diagnosis could explain this effect in the more advanced stages, while the worse outcomes in stage I may suggest a more aggressive disease behavior.</p> <p> </p>
Methylome analysis for prediction of long and short survival in glioblastoma patients from the Nordic phase 3 trial
GEO Series GSE207426. Homo sapiens. 59 samples. Type: Methylation profiling by array.
Data and R code from: Survival analysis of wildlife cameras exposed to theft
<p>Data set an R code used to reproduce the analysis presented in Cardona et al. "Survival analysis of wildlife cameras exposed to theft".</p>
Survival Benefit of Surgical Treatment for Patients with Stage IVb Endometrial Cancer: A Propensity Score-Matched SEER Database Analysis
<p>Data set of the paper 'Survival benefits of surgical treatment for patients with stage IVb endometrial cancer: propensity score matching SEER database analysis.'</p>
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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.