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15,733 results for “article”
Dataset related to article "Distinct responses of newly identified monocyte subsets to advanced gastrointestinal cancer and COVID-19"
<p>This record contains raw data related to article “ Distinct responses of newly identified monocyte subsets to advanced gastrointestinal cancer and COVID-19"</p> <p>Monocytes are critical cells of the immune system but their role as effectors is relatively poorly understood, as they have long been considered only as precursors of tissue macrophages or dendritic cells. Moreover, it is known that this cell type is heterogeneous, but our understanding of this aspect is limited to the broad classification in classical/intermediate/non-classical monocytes, commonly based on their expression of only two markers, i.e. CD14 and CD16. We deeply dissected the heterogeneity of human circulating monocytes in healthy donors by transcriptomic analysis at single-cell level and identified 9 distinct monocyte populations characterized each by a profile suggestive of specialized functions. The classical monocyte subset in fact included five distinct populations, each enriched for transcriptomic gene sets related to either inflammatory, neutrophil-like, interferon-related, and platelet-related pathways. Non-classical monocytes included two distinct populations, one of which marked specifically by elevated expression levels of complement components. Intermediate monocytes were not further divided in our analysis and were characterized by high levels of human leukocyte antigen (HLA) genes. Finally, we identified one cluster included in both classical and non-classical monocytes, characterized by a strong cytotoxic signature. These findings provided the rationale to exploit the relevance of newly identified monocyte populations in disease evolution. A machine learning approach was developed and applied to two single-cell transcriptome public datasets, from gastrointestinal cancer and Coronavirus disease 2019 (COVID-19) patients. The dissection of these datasets through our classification revealed that patients with advanced cancers showed a selective increase in monocytes enriched in platelet-related pathways. Of note, the signature associated with this population correlated with worse prognosis in gastric cancer patients. Conversely, after immunotherapy, the most activated population was composed of interferon-related monocytes, consistent with an upregulation in interferon-related genes in responder patients compared to non-responders. In COVID-19 patients we confirmed a global activated phenotype of the entire monocyte compartment, but our classification revealed that only cytotoxic monocytes are expanded during the disease progression. Collectively, this study unravels an unexpected complexity among human circulating monocytes and highlights the existence of specialized populations differently engaged depending on the pathological context.</p>
Data for peer review of an article (JGR solid earth) in March, 2022
<p>This is a zip file containing all the data used to generate figures and tables of the manuscript of a paper being submitted.</p> <p>Please see _README.txt at first.</p> <p>Note: this data file is for a peer review only.</p> <p> </p>
Dataset related to article "Telerehabilitation and Wellbeing Experience in Children with Special Needs during the COVID-19 Pandemic "
<p>Raw data of all variables analyzed in the study: groups, type of telerehabilitation, gravity, age, gender, demographic and socio-economic background, grade, type of technological device, engagement scale, Comprehensive Inventory of Thriving.</p>
Dataset related to article "Effectiveness of a group resilience intervention for people with multiple sclerosis delivered via frontline services"
<p>This study is part of a broader multi-phased project designed to comprehensively evaluate an Acceptance and Commitment Therapy-based group resilience intervention (The REsilience and Activities for every DaY program, READY) for people with MS in Italy.</p> <p>The project encompasses two major phases: (1) a pilot randomized controlled trial (RCT) with a nested qualitative study; (2) a multi-centre phase III cluster RCT (ISRCTN registration number: 67194859), with an ancillary study on the effectiveness of a program for training psychologists in the delivery of READY to PwMS.</p> <p>The data support the findings of the study: “Effectiveness of a group resilience intervention for people with multiple sclerosis delivered via frontline services”. For this study, data were collected on voluntary based by psychologists involved in the training (phase three – delivery of READY in frontline service), immediately before the program, after the booster session, and at 3-months follow-up.</p> <p>They include demographic and clinical data, ant items of the patient-reported outcome measures administered.</p>
Dataset related to article "COMPARISON ON WELL-BEING, ENGAGEMENT AND PERCEIVED SCHOOL CLIMATE IN SECONDARY SCHOOL STUDENTS WITH LEARNING DIFFICULTIES AND SPECIFIC LEARNING DISORDERS: AN EXPLORATORY STUDY"
<p>xls. file with of all variables analyzed in the study: gender, groups, socio-economic background, engagement scale, school climate scale, items of Big Five Inventory questionnaire and items Comprehensive Inventory of Thriving.</p> <p> </p>
Dataset related to article "Preoperative [11C]methionine PET to personalize treatment decisions in patients with lower-grade gliomas"
<p>This record contains data related to article "Preoperative [11C]methionine PET to personalize treatment decisions in patients with lower-grade gliomas"</p> <p><strong>Background: </strong> PET with radiolabelled amino acids is used in the preoperative evaluation of patients with glial neoplasms. This study aimed to assess the role of [ 11C]methionine (MET) PET in assessing molecular features, tumour extent, and prognosis in newly-diagnosed lower-grade gliomas (LGGs) surgically treated.</p> <p><strong>Methods: </strong> 153 patients with a new diagnosis of grade 2/3 glioma who underwent surgery at our Institution and were imaged preoperatively using [ 11C]MET PET/CT were retrospectively included. [ 11C]MET PET images were qualitatively and semiquantitatively analyzed using tumour-to-background ratio (TBR). Progression-free survival (PFS) rates were estimated using the Kaplan-Meier method and Cox proportional-hazards regression was used to test the association of clinicopathological and imaging data to PFS.</p> <p><strong>Results: </strong> Overall, 111 lesions (73%) were positive, while thirty-two (21%) and ten (6%) were isometabolic and hypometabolic at [ 11C]MET PET, respectively. [ 11C]MET uptake was more common in oligodendrogliomas than IDH-mutant astrocytomas (87% vs 50% of cases, respectively). Among [ 11C]MET-positive gliomas, grade 3 oligodendrogliomas had the highest median TBRmax (3.22). In 25% of patients, PET helped to better delineate tumour margins compared to MRI only. In IDH-mutant astrocytomas, higher TBRmax values at [ 11C]MET PET were independent predictors of shorter PFS.</p> <p><strong>Conclusions: </strong> This work highlights the role of preoperative [ 11C]MET PET in estimating the type, assessing tumour extent, and predicting biological behaviour and prognosis of LGGs. Our findings support the implementation of [ 11C]MET PET in routine clinical practice to better manage these neoplasms.</p> <p> </p>
Dataset related to article "BNT162b2 vaccine induces antibody release in saliva: a possible role for mucosal viral protection?"
<p>This record contains raw data related to article “BNT162b2 vaccine induces antibody release in saliva: a possible role for mucosal viral protection?"</p> <p>Vaccination against an airborne pathogen is very effective if it induces also the development of mucosal antibodies that can protect against infection. The mRNA-based vaccine-encoding SARS-CoV-2 full-length spike protein (BNT162b2, Pfizer/BioNTech) protects also against infection despite being administered systemically. Here, we show that upon vaccination, cognate IgG molecules are also found in the saliva and are more abundant in SARS-CoV-2 previously exposed subjects, paralleling the development of plasma IgG. The antibodies titer declines at 3 months from vaccination. We identified a concentration of specific IgG in the plasma above which the relevant IgG can be detected in the saliva. Regarding IgA antibodies, we found only protease-susceptible IgA1 antibodies in plasma while they were present at very low levels in the saliva over the course of vaccination of SARS-CoV-2-naïve subjects. Thus, in response to BNT162b2 vaccine, plasma IgG can permeate into mucosal sites and participate in viral protection. It is not clear why IgA1 are detected in low amount, they may be proteolytically cleaved.</p> <p> </p>
Jeu de données article "Automatisation des fonctions archivistiques pour les données textuelles : quels outils et quelles fonctionnalités pour l'archiviste ?"
<p>Jeu de données qui vient compléter l’article « Automatisation des fonctions archivistiques pour les données textuelles : quels outils et quelles fonctionnalités pour l’archiviste ? ». Il s’agit respectivement d’une liste d’outils soutenant l’archiviste pour l’automatisation des fonctions archivistiques, d’une liste des projets en lien avec l’automatisation des fonctions archivistiques et d’un tableau croisé entre tâches archivistiques et fonctionnalités proposée par les outils.</p>
Dataset related to article "Direct effects of octreotide on osteoblast cell proliferation and function"
<p>This record contains data related to article" Direct effects of octreotide on osteoblast cell proliferation and function<strong>".</strong></p> <p> </p> <p><em>Purpose.</em> Octreotide (OCT) is a first-generation somatostatin analog (SSA) used in the treatment of acromegaly and neuroendocrine tumors (NETs). In both diseases, OCT interacts with somatostatin receptors 2 and 5 (SSTR2 and SSTR5), inhibiting hormone hypersecretion and cell proliferation. Skeletal health is an important clinical concern with acromegaly and NETs since acromegalic osteopathy and NET bone metastasis occur in a remarkable number of patients. While OCT’s effect on NET cells has been extensively investigated, its direct action on bone cells remains unknown.</p> <p><em>Methods.</em> Here we investigated OCT direct effects on cell proliferation, differentiation, mineralization, and chemoattractant capacity of murine primary osteoblasts and osteoblast cell line MC3T3-E1.</p> <p><em>Results.</em> OCT inhibited osteoblasts and MC3T3-E1 cell proliferation (-30% ± 16%, and -22 ± 4%, both p<0.05) and increased MC3T3-E1 cell apoptosis (+76 ± 32%, p<0.05 vs control).</p> <p>The anti-proliferative action of OCT was mediated by SSTR2 and SSTR5 in MC3T3-E1, while its proapoptotic effect was abrogated in SSTR2-silenced cells. The analysis of genes related to the early and late phases of osteoblast differentiation showed that OCT did not affect <em>Alp, Runx2</em>, <em>Bglap, Spp1, and Sost </em>levels in MC3T3-E1 cells. Similarly, OCT had no effect on ALP activity and mineralization in osteoblasts. In addition, <em>Vegfa</em> expression decreased in OCT-treated MC3T3-E1 cells and OCT inhibited pancreatic NET cell migration towards osteoblast-conditioned medium.</p> <p><em>Conclusion.</em>This study provides the first evidence of the direct action of OCT on osteoblasts which may have clinically relevant implications for the management of skeletal health in subjects with acromegaly and metastatic NETs.</p>
Dataset related to article "Significance and clinical suggestions for the Somatosensory Evoked Potentials increased in amplitude revealed by a large sample of neurological patients"
<p>THIS DATABASE CONTAINS ALL THE NEUROPHYSIOLOGICAL DATA (INCLUDING THE MEASUREMENT OF THE FINDINGS) AND THE DIAGNOSIS OF INDIVIDUAL PATIENTS. THESE VALUES WERE USED FOR THE STATISTICS</p>
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 "Tumor treating fields affect mesothelioma cell proliferation by exerting histotype-dependent cell cycle checkpoint activations and transcriptional modulations"
<p>This record contains data related to article "Tumor treating fields affect mesothelioma cell proliferation by exerting histotype-dependent cell cycle checkpoint activations and transcriptional modulations"</p> <p>Although clinical antitumor activity of Tumor Treating Fields (TTFields) has been reported in malignant pleural mesothelioma (MPM) patients, the mechanisms behind the different selectivity displayed by the various MPM histotypes to this physical therapy has not been elucidated yet.</p> <p>Taking advantage of the development of well characterized human MPM cell lines derived from pleural effusion and/or lavages of patients’ thoracic cavity, we investigated the biological effects of TTFields against these cells, representative of epithelioid, biphasic and sarcomatoid histotypes. Growth inhibition and cell cycle perturbations caused by TTFields were investigated side by side with RNA-Seq analyses at different exposure times to identify pathways involved in cell response to treatment.</p> <p>We observed significant differences of response to TTFields among the cell lines. Cell cycle analysis revealed that the most sensitive cells (epithelioid CD473) were blocked in G<sub>2</sub>M phase followed by formation of polyploid cells. The least sensitive cells (sarcomatoid CD60) were only slightly affected by TTFields with a general delay in all cell cycle phases. Apoptosis was present in all samples, but while epithelioid cell death was already observed during the first 24h of treatment, sarcomatoid cells needed longer times before they engaged apoptotic pathways.</p> <p>RNA-Seq experiments demonstrated that TTFields induced a transcriptional response already detectable at early time points (8h). The number of differentially expressed genes was higher in CD473 than in CD60 cells, involving several pathways, such as those pertinent to cell cycle checkpoints, DNA repair and histone modifications.</p> <p>Our data provide further support to the notion that the antitumor effects of TTFields are not simply related to a non-specific reaction to a physical stimulus, but are dependent on the biological background of the cells and the particular sensitivity to TTFields observed in epithelioid MPM cells is associated with a higher transcriptional activity than that observed in sarcomatoid models.</p>
Dataset related to the article "Comparison between Automatic and Semiautomatic System for the 3D Echocardiographic Multiparametric Evaluation of RV Function and Dimension"
<p>This record contains raw data related to the article “Comparison between Automatic and Semiautomatic System for the 3D Echocardiographic Multiparametric Evaluation of RV Function and Dimension”</p> <p>Background: The right ventricle (RV) plays a pivotal role in cardiovascular diseases and 3-dimensional echocardiography (3DE) has gained acceptance for the evaluation of RV volumes and function. Recently, a new artificial intelligence (AI)–based automated 3DE software for RV evaluation has been proposed and validated against cardiac magnetic resonance. The aims of this study were three-fold: (i) feasibility of the AI-based 3DE RV quantification, (ii) comparison with the semi-automatic 3DE method and (iii) assessment of 2-dimensional echocardiography (2DE) and strain measurements obtained automatically. Methods: A total of 203 subject (122 normal and 81 patients) underwent a 2DE and both the semi-automatic and automatic 3DE methods for Doppler standard, RV volumes and ejection fraction (RVEF) measurements. Results: The automatic 3DE method was highly feasible, faster than 2DE and semi-automatic 3DE and data obtained were comparable with traditional measurements. Both in normal subjects and patients, the RVEF was similar to the two 3DE methods and 2DE and strain measurements obtained by the automated system correlated very well with the standard 2DE and strain ones. Conclusions: results showed that rapid analysis and excellent reproducibility of AI-based 3DE RV analysis supported the routine adoption of this automated method in the daily clinical workflow.</p>
dataset related to article "Resting-State fMRI in Chronic Patients with Disorders of Consciousness The Role of Lower-Order Networks for Clinical Assessment"
<p>This database contains xls. sheets describing:</p> <ol> <li>patient demographics;</li> <li>clinical data; </li> <li>Coma Recovery Scale-Revised (CRS-R) scores;</li> <li>rs-fMRI ICA rating; </li> <li>rs-fMRI seed rating;</li> <li>rs-fMRI seed mean intensity;</li> <li>rs-fMRI ICA mean intensity;</li> <li>MRI rating</li> </ol>
Dataset related to article "Targeted Mutational Analysis of Circulating Tumor DNA to Decipher Temporal Heterogeneity of High-Grade Serous Ovarian Cancer"
<p>This record contains raw data related to article<strong> "</strong>Targeted Mutational Analysis of Circulating Tumor DNA to Decipher Temporal Heterogeneity of High-Grade Serous Ovarian Cancer<strong>".</strong></p> <p>We have previously demonstrated that longitudinal untargeted analysis of plasma samples withdrawn from patients with high-grade serous ovarian cancer (HGS-EOC) can intercept the presence of molecular recurrence (TRm) earlier than the diagnosis of clinical recurrence (TRc). This finding opens a clinical important temporal window to acquire through plasma sample analysis a real-time picture of those emerging molecular lesions that will drive and sustain the growth of relapsed disease and ultimately will confer resistance. In this proof of principle study, the same genomic libraries obtained at the diagnosis (T0), TRm and TRc were further analyzed by targeted resequencing approach to sequence the coding region of a panel of 65 genes to provide longitudinal analysis of clonal evolution as a novel strategy to support clinical decisions for the second-line treatment. Experiments were performed on plasma and tumor tissues withdrawn on a selection of previously analyzed cohorts of cases (i.e., 33 matched primary and synchronous lesions and 43 plasma samples from 18 patients). At T0, the median concordance of mutations shared by each tumor tissue biopsy and its matched plasma sample was 2.27%. This finding confirms the limit of a single tumor biopsy to be representative of the entire disease, while plasma analysis can recapitulate most of the main molecular lesions of the disease. A comparable scenario was observed during longitudinal analysis, where, with the exception of the <em>TP53</em> gene and germline mutations in <em>BRCA1/2</em> genes, no other gene shared the same locus specific gene mutation across T0, TRm and TRc time points. This high level of temporal heterogeneity has important implications for planning second-line treatment. For example, in three out of 13 cases, plasma ctDNA analysis at TRm or TRc reported acquired novel variants in the <em>TP53BP1</em> gene not present at T0. In particular, patient 21564, potentially eligible for PARP-inhibitor (PARPi) treatment at the time of diagnosis (<em>BRCA1</em> c.5182delA mutation), would unlikely respond to these drugs in second-line therapy due to the presence of eight distinct <em>TP53BP1</em> variants in plasma samples collected TRc. This study demonstrates that liquid biopsy provides a real-time molecular picture to intercept those actionable genetic vulnerabilities or drug resistance mechanisms that could be used to plan a more rational second-line treatment.</p>
Dataset related to article: Prognostic Potential of Immune Inflammatory Biomarkers in Breast Cancer Patients Treated with Neoadjuvant Chemotherapy
<p>Systemic inflammation is associated with increased aggressiveness of breast cancer and can contribute to decreased activity of neoadjuvant treatments. Biomarkers of systemic inflammation are easily obtained from routine blood count and are highly cost-effective, having great potential to steer cancer prognosis in clinical practice. In our study we tested the hypothesis that high values of these biomarkers might have an effect on clinical outcomes in a population of patients treated with neoadjuvant chemotherapy for breast cancer. Results of our study, together with data from the literature, hint at a possible role of inflammatory markers in the diagnostic and therapeutic algorithm of breast cancer, where specific pre-operative blood cell ratios could be used in combination with biological and clinical factors to tailor adjuvant therapy.</p>
Link to dataset related to article "Multimodal single-cell profiling of intrahepatic cholangiocarcinoma defines hyperactivated Tregs as a potential therapeutic target "
<p>This record contains raw data related to article “Multimodal single-cell profiling of intrahepatic cholangiocarcinoma defines hyperactivated Tregs as a potential therapeutic target"</p> <p>Abstract:</p> <p><strong>Background & aims: </strong> The landscape and function of the immune infiltrate of intrahepatic cholangiocarcinoma (iCCA), a rare, yet aggressive tumor of the biliary tract, remains poorly characterized, limiting development of successful immunotherapies. Herein, we aimed to define the molecular characteristics of tumor-infiltrating leukocytes with a special focus on CD4+ regulatory T cells (Tregs).</p> <p><strong>Methods: </strong> We used high-dimensional single-cell technologies to characterize the T-cell and myeloid compartments of iCCA tissues, comparing these with their tumor-free peritumoral and circulating counterparts. We further used genomics and cellular assays to define the iCCA-specific role of a novel transcription factor, mesenchyme homeobox 1 (MEOX1), in Treg biology.</p> <p><strong>Results: </strong> We found poor infiltration of putative tumor-specific CD39+ CD8+ T cells accompanied by abundant infiltration of hyperactivated CD4+ Tregs. Single-cell RNA-sequencing identified an altered network of transcription factors in iCCA-infiltrating compared to peritumoral T cells, suggesting reduced effector functions by tumor-infiltrating CD8+ T cells and enhanced immunosuppression by CD4+ Tregs. Specifically, we found that expression of MEOX1 was highly enriched in tumor-infiltrating Tregs, and demonstrated that MEOX1 overexpression is sufficient to reprogram circulating Tregs to acquire the transcriptional and epigenetic landscape of tumor-infiltrating Tregs. Accordingly, enrichment of the MEOX1-dependent gene program in Tregs was strongly associated with poor prognosis in a large cohort of patients with iCCA.</p> <p><strong>Conclusions: </strong> We observed abundant infiltration of hyperactivated CD4+ Tregs in iCCA tumors along with reduced CD8+ T-cell effector functions. Interfering with hyperactivated Tregs should be explored as an approach to enhance antitumor immunity in iCCA.</p> <p><strong>Lay summary: </strong> Immune cells have the potential to slow or halt the progression of tumors. However, some tumors, such as intrahepatic cholangiocarcinoma, are associated with very limited immune responses (and infiltration of cancer-targeting immune cells). Herein, we show that a specific population of regulatory T cells (a type of immune cell that actually suppresses the immune response) are hyperactivated in intrahepatic cholangiocarcinoma. Targeting these cells could enable cancer-targeting immune cells to act more effectively and should be looked at as a potential therapeutic approach to this aggressive cancer type.</p>
Dataset related to article "Surgical management of BRCA-mutation carriers: A single institution experience"
<p>This record contains raw data related to article “Surgical management of BRCA-mutation carriers: A single institution experience"</p> <p>Abstract:</p> <p><strong>Introduction: </strong> The optimal surgical management of BRCA-mutation carriers remains a subject of debate. To evaluate the appropriateness of breast cancer (BC) treatment, the oncological outcomes of BRCA-mutation carriers treated either with breast-conserving therapy (BCT) or mastectomy were compared. Additionally, the role of bilateral salpingo-oophorectomy (BSO) and potential independent predictive factors for BC treatment were analyzed.</p> <p><strong>Materials and methods: </strong> We retrospectively reviewed all the consecutive patients with a pathogenic germline mutation in the BRCA1/2 genes tested at our Institution between July 2008 and October 2018. Primary end-points were disease-free survival (DFS), distant disease-free survival (DDFS), and overall survival (OS).</p> <p><strong>Results: </strong> The characteristics and outcomes of 124 BRCA-associated BC patients were analyzed. Overall, 69 (55.7%) and 55 (44.3%) patients underwent BCT and mastectomy, respectively; 72 (58.1%) patients underwent BSO. After a median interval of 13.3 months, 24 patients underwent mastectomy after primary BCT. There was no significant difference in terms of DFS, DDFS, and OS between patients treated with BCT or mastectomy (p = 0.39,p = 0.27,p = 0.265, respectively). Patients treated with BSO had significantly better DDFS and OS compared to ovarian conservation (p = 0.033,p = 0.040, respectively). Three independent predictive factors for BCT were identified: age ≤41 years, genetic testing performed post-operatively, and breast tumors ≤21 mm.</p> <p><strong>Conclusions: </strong> Our data suggest that BRCA-mutation carriers treated with BCT present similar oncological outcomes compared to mastectomy. Ovarian preservation decreases survival. Young BRCA-mutated patients with small BCs may not need up-front mastectomy, and BSO might be performed when ovarian cancer risk epidemiologically rises and potential reproductive desire is fulfilled.</p>
Dataset related to article "Radiomics-based prognosis classification for high-risk prostate cancer treated with radiotherapy "
<p>This record contains raw data related to article “Radiomics-based prognosis classification for high-risk prostate cancer treated with radiotherapy"</p> <p>Abstract:</p> <p><strong>Objective: </strong> The present study aimed to investigate if CT-based radiomics features could correlate to the risk of metastatic progression in high-risk prostate cancer patients treated with radical RT and long-term androgen deprivation therapy (ADT).</p> <p><strong>Materials and methods: </strong> A total of 157 patients were investigated and radiomics features extracted from the contrast-free treatment planning CT series. Three volumes were segmented: the prostate gland only (CTV_p), the prostate gland with seminal vesicles (CTV_psv), and the seminal vesicles only (CTV_sv). The patients were split into two subgroups of 100 and 57 patients for training and validation. Five clinical and 62 radiomics features were included in the analysis. Considering metastases-free survival (MFS) as an endpoint, the predictive model was used to identify the subgroups with favorable or unfavorable prognoses (separated by a threshold selected according to the Youden method). Pure clinical, pure radiomic, and combined predictive models were investigated.</p> <p><strong>Results: </strong> With a median follow-up of 30.7 months, the MFS at 1 and 3 years was 97.2% ± 1.5 and 92.1% ± 2.0, respectively. Univariate analysis identified seven potential predictors for MFS in the CTV_p group, 11 in the CTV_psv group, and 9 in the CTV_sv group. After elastic net reduction, these were 4 predictors for MFS in the CTV_p group (positive lymph nodes, Gleason score, H_Skewness, and NGLDM_Contrast), 5 in the CTV_psv group (positive lymph nodes, Gleason score, H_Skewnesss, Shape_Surface, and NGLDM_Contrast), and 6 in the CTV_sv group (positive lymph nodes, Gleason score, H_Kurtosis, GLCM_Correlation, GLRLM_LRHGE, and GLZLM_SZLGE). The patients' group of the training and validation cohorts were stratified into favorable and unfavorable prognosis subgroups. For the combined model, for CTV_p, the mean MFS was 134 ± 14.5 vs. 96.9 ± 22.2 months for the favorable and unfavorable subgroups, respectively, and 136.5 ± 14.6 vs. 70.5 ± 4.3 months for CTV_psv and 150.0 ± 4.2 vs. 91.1 ± 8.6 months for CTV_sv, respectively.</p> <p><strong>Conclusion: </strong> Radiomic features were able to predict the risk of metastatic progression in high-risk prostate cancer. Combining the radiomic features and clinical characteristics can classify high-risk patients into favorable and unfavorable prognostic groups.</p>
Dataset related to article "Oligoscore: a clinical score to predict overall survival in patients with oligometastatic disease treated with stereotactic body radiotherapy "
<p>This record contains raw data related to article “Oligoscore: a clinical score to predict overall survival in patients with oligometastatic disease treated with stereotactic body radiotherapy"</p> <p>Abstract:</p> <p><strong>Background: </strong> to find clinical features that can predict prognosis in patients with oligometastatic disease treated with stereotactic body radiotherapy (SBRT).</p> <p><strong>Material and methods: </strong> Patients with less than 5 metastases in less than 3 different body sites were included in the analysis. Various clinical and treatment parameters were analyzed to create a Cox proportional hazard model for Overall Survival (OS). Subsequently, significant variables were used to create a score.</p> <p><strong>Results: </strong> 997 patients were analyzed. Median OS was 2.61 years, 1 and 3 years OS was respectively 85% and 43%. Location of the primary tumor, performance status, site of irradiated metastases, presence of extratarget non irradiated lesions and RT dose were significant prognostic factors for OS. These parameters were used to create a score and to distinguish three different classes, with median OS of 5.67 years in low risk, 2.47 years in intermediate risk and 1.82 years in high risk group.</p> <p><strong>Conclusion: </strong> moving from easily accessible clinical parameters, a score was created to help the physician's decision about the better treatment or combination of treatments for the individual patient.</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.