70 Works

Additional file 3 of Immune-related 3-lncRNA signature with prognostic connotation in a multi-cancer setting

Shimaa Sherif, Raghvendra Mall, Hossam Almeer, Adviti Naik, Abdulaziz Al Homaid, Remy Thomas, Jessica Roelands, Sathiya Narayanan, Mahmoud Gasim Mohamed, Shahinaz Bedri, Salha Bujassoum Al-Bader, Kulsoom Junejo, Davide Bedognetti, Wouter Hendrickx & Julie Decock
Additional file 3: Propagation walkscores of 127 proxy protein-coding genes in the TCGA-BRCA cohort.

Additional file 4 of Immune-related 3-lncRNA signature with prognostic connotation in a multi-cancer setting

Shimaa Sherif, Raghvendra Mall, Hossam Almeer, Adviti Naik, Abdulaziz Al Homaid, Remy Thomas, Jessica Roelands, Sathiya Narayanan, Mahmoud Gasim Mohamed, Shahinaz Bedri, Salha Bujassoum Al-Bader, Kulsoom Junejo, Davide Bedognetti, Wouter Hendrickx & Julie Decock
Additional file 4: Canonical pathways, diseases and functions associated with the 127 proxy protein-coding genes.

Additional file 6 of Immune-related 3-lncRNA signature with prognostic connotation in a multi-cancer setting

Shimaa Sherif, Raghvendra Mall, Hossam Almeer, Adviti Naik, Abdulaziz Al Homaid, Remy Thomas, Jessica Roelands, Sathiya Narayanan, Mahmoud Gasim Mohamed, Shahinaz Bedri, Salha Bujassoum Al-Bader, Kulsoom Junejo, Davide Bedognetti, Wouter Hendrickx & Julie Decock
Additional file 6: Prognostic value of ICR classifier across solid cancers. Forest plot showing HRs for death (overall survival) and corresponding 95%-confidence interval for the continuous ICR score and number of patients for each TCGA cancer cohort and RAQA breast cancer cohort. Significant positive HRs are visualized in blue and significant negative HRs are visualized in red. ICR enabled (HR < 1, p-value < 0.05) cancer types are indicated with orange asterisks and ICR disabled...

Immune-related 3-lncRNA signature with prognostic connotation in a multi-cancer setting

Shimaa Sherif, Raghvendra Mall, Hossam Almeer, Adviti Naik, Abdulaziz Al Homaid, Remy Thomas, Jessica Roelands, Sathiya Narayanan, Mahmoud Gasim Mohamed, Shahinaz Bedri, Salha Bujassoum Al-Bader, Kulsoom Junejo, Davide Bedognetti, Wouter Hendrickx & Julie Decock
Abstract Background Advances in our understanding of the tumor microenvironment have radically changed the cancer field, highlighting the emerging need for biomarkers of an active, favorable tumor immune phenotype to aid treatment stratification and clinical prognostication. Numerous immune-related gene signatures have been defined; however, their prognostic value is often limited to one or few cancer types. Moreover, the area of non-coding RNA as biomarkers remains largely unexplored although their number and biological roles are rapidly...

Additional file 7 of Immune-related 3-lncRNA signature with prognostic connotation in a multi-cancer setting

Shimaa Sherif, Raghvendra Mall, Hossam Almeer, Adviti Naik, Abdulaziz Al Homaid, Remy Thomas, Jessica Roelands, Sathiya Narayanan, Mahmoud Gasim Mohamed, Shahinaz Bedri, Salha Bujassoum Al-Bader, Kulsoom Junejo, Davide Bedognetti, Wouter Hendrickx & Julie Decock
Additional file 7: Akaike information criterion (AIC), delta AIC, and HRs for death (overall survival) and corresponding 95%-confidence interval for ICR and 3 ir-lncRNA signature in 18 solid cancer TCGA datasets and RAQA cohort.

Additional file 10 of DNA methylation predicts the outcome of COVID-19 patients with acute respiratory distress syndrome

Martina Bradic, Sarah Taleb, Binitha Thomas, Omar Chidiac, Amal Robay, Nessiya Hassan, Joel Malek, Ali Ait Hssain & Charbel Abi Khalil
Additional file 10: Table S10. Description of the eight genes that are predictors of mortality. Data were collected from Gene Ontology (GO) to identify the functional annotation of each gene and recently published COVID-19 related articles to highlight the role of each gene in relation to COVID-19.

Additional file 11 of DNA methylation predicts the outcome of COVID-19 patients with acute respiratory distress syndrome

Martina Bradic, Sarah Taleb, Binitha Thomas, Omar Chidiac, Amal Robay, Nessiya Hassan, Joel Malek, Ali Ait Hssain & Charbel Abi Khalil
Additional file 11. Supplementary Figures.

Additional file 7 of DNA methylation predicts the outcome of COVID-19 patients with acute respiratory distress syndrome

Martina Bradic, Sarah Taleb, Binitha Thomas, Omar Chidiac, Amal Robay, Nessiya Hassan, Joel Malek, Ali Ait Hssain & Charbel Abi Khalil
Additional file 7: Table S7. Summary of immune cell changes and differentially methylated CpGs between recovered and dead patients over four time points 7A. Immune cell changes between recovered and dead patients over four time points, 7B. Differential methylation of CpGs between recovered and died patients over four time points. The b_0, b_1, b_2, and b_3 coefficients correspond to the reference model parameters, where survival phenotype is used as a reference. The d_0, d_1, d_2,...

Additional file 1 of DNA methylation predicts the outcome of COVID-19 patients with acute respiratory distress syndrome

Martina Bradic, Sarah Taleb, Binitha Thomas, Omar Chidiac, Amal Robay, Nessiya Hassan, Joel Malek, Ali Ait Hssain & Charbel Abi Khalil
Additional file 1:Table S1. Baseline characteristics of COVID-19 patients and controls.

DNA methylation predicts the outcome of COVID-19 patients with acute respiratory distress syndrome

Martina Bradic, Sarah Taleb, Binitha Thomas, Omar Chidiac, Amal Robay, Nessiya Hassan, Joel Malek, Ali Ait Hssain & Charbel Abi Khalil
Abstract Background COVID-19 infections could be complicated by acute respiratory distress syndrome (ARDS), increasing mortality risk. We sought to assess the methylome of peripheral blood mononuclear cells in COVID-19 with ARDS. Methods We recruited 100 COVID-19 patients with ARDS under mechanical ventilation and 33 non-COVID-19 controls between April and July 2020. COVID-19 patients were followed at four time points for 60 days. DNA methylation and immune cell populations were measured at each time point. A...

Additional file 2 of Fibromyalgia: epidemiology and risk factors, a population-based case-control study in Damascus, Syria

Mhd Amin Alzabibi, Mosa Shibani, Tamim Alsuliman, Hlma Ismail, Suja alasaad, André Torbey, Abdallah Altorkmani, Bisher Sawaf, Rita Ayoub, Naram khalayli & Mayssoun Kudsi
Additional file 2. Stage two database. Include the cases and controls that were analyzed in stage two.

Learning needs assessments in continuing professional development: A scoping review

Muna Said Al-Ismail, Lina Mohammad Naseralallah, Tarteel Ali Hussain, Derek Stewart, Dania Alkhiyami, Hadi Mohamad Abu Rasheed, Alaa Daud, Abdulrouf Pallivalapila & Zachariah Nazar
A rigorous learning needs assessment (LNA) is a crucial initial step in the Continuing Professional Development (CPD) process. This scoping review aimed to collate, summarize, and categorize the reported LNA approaches adopted to inform healthcare professional CPD and highlight the gaps for further research. In August 2020, nine bibliographic databases were searched for studies conducted with any health professional grouping, reporting the utilized LNA to inform CPD activities. Two reviewers independently screened the articles for...

Additional file 1 of Fibromyalgia: epidemiology and risk factors, a population-based case-control study in Damascus, Syria

Mhd Amin Alzabibi, Mosa Shibani, Tamim Alsuliman, Hlma Ismail, Suja alasaad, André Torbey, Abdallah Altorkmani, Bisher Sawaf, Rita Ayoub, Naram khalayli & Mayssoun Kudsi
Additional file 1. Stage one database. Include the participants who met the inclusion criteria for stage one.

Additional file 1 of Fibromyalgia: epidemiology and risk factors, a population-based case-control study in Damascus, Syria

Mhd Amin Alzabibi, Mosa Shibani, Tamim Alsuliman, Hlma Ismail, Suja alasaad, André Torbey, Abdallah Altorkmani, Bisher Sawaf, Rita Ayoub, Naram khalayli & Mayssoun Kudsi
Additional file 1. Stage one database. Include the participants who met the inclusion criteria for stage one.

Additional file 1 of Immune-related 3-lncRNA signature with prognostic connotation in a multi-cancer setting

Shimaa Sherif, Raghvendra Mall, Hossam Almeer, Adviti Naik, Abdulaziz Al Homaid, Remy Thomas, Jessica Roelands, Sathiya Narayanan, Mahmoud Gasim Mohamed, Shahinaz Bedri, Salha Bujassoum Al-Bader, Kulsoom Junejo, Davide Bedognetti, Wouter Hendrickx & Julie Decock
Additional file 1: Mapping of differentially expressed ir-lncRNAs to protein coding genes. (A) Diagram representation of the random walk with restart global propagation network algorithm. (B) Walkscore distribution of protein-coding genes in TCGA-BRCA, with cutoff set at walkscore ≥ 0.01 to generate a ranked list of protein-coding genes in proximity of differentially expressed ir-lncRNAs.

Additional file 3 of Immune-related 3-lncRNA signature with prognostic connotation in a multi-cancer setting

Shimaa Sherif, Raghvendra Mall, Hossam Almeer, Adviti Naik, Abdulaziz Al Homaid, Remy Thomas, Jessica Roelands, Sathiya Narayanan, Mahmoud Gasim Mohamed, Shahinaz Bedri, Salha Bujassoum Al-Bader, Kulsoom Junejo, Davide Bedognetti, Wouter Hendrickx & Julie Decock
Additional file 3: Propagation walkscores of 127 proxy protein-coding genes in the TCGA-BRCA cohort.

Additional file 7 of Immune-related 3-lncRNA signature with prognostic connotation in a multi-cancer setting

Shimaa Sherif, Raghvendra Mall, Hossam Almeer, Adviti Naik, Abdulaziz Al Homaid, Remy Thomas, Jessica Roelands, Sathiya Narayanan, Mahmoud Gasim Mohamed, Shahinaz Bedri, Salha Bujassoum Al-Bader, Kulsoom Junejo, Davide Bedognetti, Wouter Hendrickx & Julie Decock
Additional file 7: Akaike information criterion (AIC), delta AIC, and HRs for death (overall survival) and corresponding 95%-confidence interval for ICR and 3 ir-lncRNA signature in 18 solid cancer TCGA datasets and RAQA cohort.

Successful breastfeeding following a level II NICU stay in Qatar – a longitudinal study

Brijroy Viswanathan, Rajai El Bedaywi, Ahmed Tomerak, Sarfrazul Abedin & Prem Chandra
Abstract Background Exclusive breastfeeding is an essential need for mothers and newborn babies, but cultural practices and employment demands significantly influence feeding practices. The association between neonatal intensive care unit (NICU) admission and breastfeeding outcomes are variable. Data for Qatar and Middle East, in particular, are limited. Hence, this study aims to estimate the rate of breastfeeding at the time of NICU discharge and the rate of successful breastfeeding after NICU discharge in Qatar during...

sj-docx-1-cat-10.1177_10760296221140114 - Supplemental material for Prevalence, Outcome, and Optimal Management of Free-Floating Right Heart Thrombi in the Context of Pulmonary Embolism, a Systematic Review and Meta-Analysis

Wanis H. Ibrahim, Fateen Ata, Hassan Choudry, Huzaifa Javed, Khaled M Shunnar, Abdullah Shams, Abdullah Arshad, Adel Bosom, Mohammed H.A. Elkahlout, Bisher Sawaf, Shahda M.A. Ahmed & Tinuola Olajide
Supplemental material, sj-docx-1-cat-10.1177_10760296221140114 for Prevalence, Outcome, and Optimal Management of Free-Floating Right Heart Thrombi in the Context of Pulmonary Embolism, a Systematic Review and Meta-Analysis by Wanis H. Ibrahim, Fateen Ata, Hassan Choudry, Huzaifa Javed, Khaled M Shunnar, Abdullah Shams, Abdullah Arshad, Adel Bosom, Mohammed H.A. Elkahlout, Bisher Sawaf, Shahda M.A. Ahmed and Tinuola Olajide in Clinical and Applied Thrombosis/Hemostasis

Additional file 2 of DNA methylation predicts the outcome of COVID-19 patients with acute respiratory distress syndrome

Martina Bradic, Sarah Taleb, Binitha Thomas, Omar Chidiac, Amal Robay, Nessiya Hassan, Joel Malek, Ali Ait Hssain & Charbel Abi Khalil
Additional file 2: Table S2. Summary of different models tested for estimating differences between controls and COVID-19 patients for immune cell proportions. Adjusted R2, residual standard error (sigma), AIC, and p.value for each tested model for each cell type are shown. The following models were tested, mod1; Age and ethnicity as covariates, mod2; age as a covariate, mod3; ethnicity as a covariate, mod4; no covariates.

Additional file 3 of DNA methylation predicts the outcome of COVID-19 patients with acute respiratory distress syndrome

Martina Bradic, Sarah Taleb, Binitha Thomas, Omar Chidiac, Amal Robay, Nessiya Hassan, Joel Malek, Ali Ait Hssain & Charbel Abi Khalil
Additional file 3: Table S3. Summary of identified differentially methylated CpGs between COVID-19 patients and controls. A. All significant CpGs B. Variable description from Table S2A. C. Significant CpGs from genes previously described as COVID-19 important [1]. D. Functional annotation of genes from Supplemental table 3C.

Additional file 4 of DNA methylation predicts the outcome of COVID-19 patients with acute respiratory distress syndrome

Martina Bradic, Sarah Taleb, Binitha Thomas, Omar Chidiac, Amal Robay, Nessiya Hassan, Joel Malek, Ali Ait Hssain & Charbel Abi Khalil
Additional file 4: Table S4. Summary of differentially methylated pathways detected between COVID-19 patients and controls based on CpG sites.

Additional file 9 of DNA methylation predicts the outcome of COVID-19 patients with acute respiratory distress syndrome

Martina Bradic, Sarah Taleb, Binitha Thomas, Omar Chidiac, Amal Robay, Nessiya Hassan, Joel Malek, Ali Ait Hssain & Charbel Abi Khalil
Additional file 9: Table S9. Summary of univariate Cox proportional hazard analysis of the previously identified CpGs. Column variables represent Name; chr; chromosome number, pos; position, CpG name, relation_to_Island; where is CpG located in relationship to island, UCSC RefGene Name; UCSC gene name, UCSC RefGene Accession; UCSC gene accession, UCSC RefGene Group; where in respect to gene is CpG located, Beta; estimated coefficient beta from the model, StandardError; standard error, Z; z-score, LRT; likelihood ratio...

DNA methylation predicts the outcome of COVID-19 patients with acute respiratory distress syndrome

Martina Bradic, Sarah Taleb, Binitha Thomas, Omar Chidiac, Amal Robay, Nessiya Hassan, Joel Malek, Ali Ait Hssain & Charbel Abi Khalil
Abstract Background COVID-19 infections could be complicated by acute respiratory distress syndrome (ARDS), increasing mortality risk. We sought to assess the methylome of peripheral blood mononuclear cells in COVID-19 with ARDS. Methods We recruited 100 COVID-19 patients with ARDS under mechanical ventilation and 33 non-COVID-19 controls between April and July 2020. COVID-19 patients were followed at four time points for 60 days. DNA methylation and immune cell populations were measured at each time point. A...

Microbiological and clinical characteristics of invasive Group B Streptococcal blood stream infections in children and adults from Qatar

Maisa Ali, Mohammed A. Alamin, Gawahir A. Ali, Khalid Alzubaidi, Bashir Ali, Abdellatif Ismail, Joanne Daghfal, Muna Almaslamani & Hamad Abdel Hadi
Abstract Introduction Group B Streptococci (GBS) colonize almost one third of human gastrointestinal and genitourinary tracts, particularly in females. The aim of this study is to evaluate the epidemiology, microbiological characteristics, and clinical outcomes of invasive GBS disease in Qatar from all age groups. Methods A retrospective study was conducted on patients with confirmed GBS blood stream infections during the period between January 2015 and March 2019. Microbiological identification was performed using automated BD PhoenixTM...

Registration Year

  • 2022
    70

Resource Types

  • Text
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  • Dataset
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  • Collection
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Affiliations

  • Hamad Medical Corporation
    70
  • Weill Cornell Medical College in Qatar
    48
  • Hamad bin Khalifa University
    44
  • Centre Hospitalier Universitaire de Clermont-Ferrand
    24
  • Memorial Sloan Kettering Cancer Center
    24
  • Sidra Medical and Research Center
    24
  • Cornell University
    24
  • University of Genoa
    20
  • Hamad General Hospital
    20
  • Qatar Foundation
    20