№ files_lp_4_process_2_48450
File format: docx
Character count: 6573
File size: 18 KB
Year:
2026
Institution:
Johns Hopkins Hospital, Asan Medical Center
Study Type:
Molecular biology study
Methods:
Droplet digital PCR, MSP, bisulfite sequencing, ddQMSP, mRNA expression analysis
Biomarkers:
SOX17, ACTB, KRAS, GNAS, seven marker genes
Sample Type:
Surgically aspirated pancreatic cyst fluid, pancreatic cell lines, normal pancreatic tissue
Sample Size:
183 patients (discovery and validation sets)
Pathology:
IPMN, MCN, SCN, HGD, INV, IGD, LGD
Data Presentation:
1-D ddPCR plots, heat maps, AUC values, box plots, correlation plots
Statistical Measures:
Mean ± standard deviation, coefficient of determination (R²), coefficient of variation (% CV), 95% confidence interval
Experimental Conditions:
5-Aza-2′-deoxycytidine, trichostatin A treatment
Comparisons:
Between hospitals (JHH vs AMC), among cyst types, stratified by mutation status and histologic grade
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Year:
2026
Region / City:
China, Xi Zang Autonomous Region and Heilongjiang Province
Subject:
Plant pathology, Biological control
Document type:
Research article
Institution:
China Agricultural University, Department of Plant Pathology
Authors:
Shahid Ahmed, Qian Liu, Heng Jian
Target audience:
Plant pathologists, agricultural researchers
Organism studied:
Heterodera avenae, Bacillus spp.
Methodology:
In vitro assays, greenhouse experiments, molecular and biochemical identification
Key findings:
Bacillus isolates reduced nematode infection and cyst development in wheat roots
Corresponding author:
Shahid Ahmed, [email protected]
Contact details:
Fax +86.10.62731102
Keywords:
Biological control, Bacillus, cereal cyst nematode, greenhouse
Year:
2019
Region / city:
North Dakota
Theme:
Agriculture, Plant Pathology, Soybean Farming
Document Type:
Research Report
Organization / Institution:
North Dakota Soybean Council (NDSC), North Dakota State University (NDSU)
Author:
Sam Markell, Ph.D., Guiping Yan, Ph.D., Berlin Nelson, Ph.D.
Target Audience:
North Dakota soybean growers, agricultural professionals
Period of validity:
2019-2020
Approval Date:
June 30, 2020
Date of Changes:
None
Research Methodology:
Field research, sampling, data collection and analysis
Keywords:
Soybean Cyst Nematode, SCN, sampling, North Dakota, crop management
Context:
A research report on the soybean cyst nematode (SCN) sampling program in North Dakota, detailing the distribution of free SCN sampling, findings, and recommendations for soybean farmers to manage SCN infestation.
Year:
2023
Region:
North Dakota, USA
Topic:
Agricultural pest monitoring, Soybean Cyst Nematode
Document type:
Research summary / Executive report
Institution:
North Dakota State University Extension, North Dakota Soybean Council
Principal Investigator:
Sam Markell, Ph.D.
Co-Investigators:
Guiping Yan, Ph.D.; Febina Mathew, Ph.D.; Wade Webster, Ph.D.
Collaborators:
NDSU County Extension Agents, Agvise Laboratory
Target audience:
Soybean farmers, agricultural advisors, industry stakeholders
Methodology:
Soil sample collection and laboratory analysis of SCN egg counts
Total samples analyzed:
588 (2023); cumulative samples 5,666 (2013–2023)
Findings:
SCN detected in approximately two dozen counties; positive rate 58.3% in 2023
Recommendations:
Targeted soil sampling for SCN detection and monitoring of management strategies
Acknowledgements:
Growers, Extension agents, Honggang Bu (mapping), Agvise (sample processing), North Dakota Soybean Council
Figures:
SCN sample counts and egg levels; cumulative distribution of SCN in North Dakota
Note:
Year
Year:
2025
Note:
Region / city
Topic:
Central nervous system tumor diagnostics
Document type:
Scientific article
Author:
Aldape K, Capper D, von Deimling A, Giannini C, Gilbert MR, Hawkins C, Hench J, Jacques TS, Jones D, Louis DN, Mueller S, Orr BA, Nasrallah M, Pfister SM, Sahm F, Snuderl M, Solomon D, Varlet P, Wesseling P
DOI:
10.1093/noajnl/vdae228
PMID:
39902391
PMCID:
PMC11788596
Context:
A scientific article offering guidelines on the use of DNA methylation profiling for diagnosing tumors in the central nervous system.
Year:
2017
Region / City:
Netherlands, Canada
Topic:
DNA Methylation Analysis
Document Type:
Research Supplementary Materials
Institution:
Not specified
Author:
Forest et al.
Target Audience:
Researchers in genomics and molecular biology
Period of validity:
Not specified
Date of approval:
Not specified
Date of changes:
Not specified
Document type:
Supplementary material
Subject:
Differential DNA methylation analysis
Keywords:
DNA methylation, DMPs, DMRs, CpG island, GO enrichment, KEGG pathway, polyps, normal tissue
Biological context:
Comparison between polyp and control tissue samples
Analytical methods:
Correlation heatmap, box plot normalization, differential methylation analysis, GO and KEGG enrichment analysis
Genes mentioned:
LPA, SVIL, KRT18, MYH13 and others listed in enrichment tables
Statistical measures:
Pearson’s correlation coefficient, T value, pvalue, adjusted pvalue, qvalue
Biological processes highlighted:
Regulation of membrane potential, axon guidance, extracellular matrix organization, ion transmembrane transport
Abbreviations:
TSS (transcription start site), P (polyp), C (control), FEM (Functional epigenetic modules), DMP (differentially methylated position), DMR (differentially methylated region)
Year:
2022
Region / city:
Global
Theme:
DNA methylation analysis
Document type:
Product datasheet
Organization / institution:
Abcam
Author:
Abcam
Target audience:
Researchers in molecular biology, genetics, and biochemistry
Validity period:
Not specified
Approval date:
21 June 2022
Modification date:
Not specified
Year:
2025
Region / city:
China
Subject:
Nasopharyngeal carcinoma, RNA modification
Document type:
Original research article
Institution:
University hospital, Otolaryngology department
Author:
Not specified
Target audience:
Researchers, clinicians
Period of validity:
Not specified
Approval date:
Not specified
Date of revisions:
Not specified
Year:
2026
Region / City:
Not specified
Subject:
TP53 mutations, DNA methylation, GC patients
Document Type:
Supplementary material
Institution:
Not specified
Author:
Not specified
Target Audience:
Researchers and clinicians in molecular genetics and oncology
Methods:
Sanger sequencing, pyrosequencing, primer design
Data Source:
Patient tumor samples
Genomic Reference:
GRCh37: Genome Reference Consortium human build 37
Figures Included:
Methylation distribution and survival analysis
Tables Included:
Primer sequences, TP53 mutations
Clinical Context:
Neoadjuvant and adjuvant chemotherapy subgroups
Year:
Not specified
Region / City:
Not specified
Subject:
DNA methylation, LRP11, HCC
Document Type:
Supplementary figure
Organization / Institution:
SMART database
Author:
Not specified
Target Audience:
Researchers in genomics
Effective Period:
Not specified
Approval Date:
Not specified
Date of Changes:
Not specified
Year:
2026
Study Population:
Whites
Sample Type:
Plasma, Urine
Disease Focus:
Cancer
Number of Cancer Cases:
41
Number of Control Cases:
11
Genes Analyzed:
CDO1, TAC1, HOXA7, HOXA9, SOX17, ZFP42
Parameters Measured:
Sensitivity, Specificity, Positive Predictive Value (PPV), Negative Predictive Value (NPV), Area Under the Curve (AUC), 95% Confidence Interval
Data Presentation:
Tabular
Cutoff Criteria:
Detectable vs. Non-detectable
Combined Analysis:
At least 3 positive genes
Year:
2023
Region / City:
Denmark
Theme:
Cervical Cancer Screening, HPV Testing, DNA Methylation
Document Type:
Research Article
Organization / Institution:
University Research Clinic for Cancer Screening, Aarhus University
Authors:
Mette Tranberg, Severien Van Keer, Albertus T Hesselink, Pia Nørgaard, Rikke Brøndum, Chunsen WU, Line Winther Gustafson, Anne Hammer, Pinar Bor, Karen Omann Binderup, Christina Blach, Alex Vorsters, Renske Steenbergen
Target Audience:
Researchers, Healthcare Professionals, Medical Community
Period of Application:
Not specified
Approval Date:
Not specified
Date of Changes:
Not specified
Study Registration:
Clinicaltrials.gov: NCT05065853
Keywords:
DNA methylation, cervical cancer screening, HPV DNA testing, urinary HPV testing, early detection of cancer/methods
Abstract:
The study evaluates the performance of ASCL1/LHX8 DNA methylation markers and HPV genotyping in first-void urine samples for detecting high-grade cervical intraepithelial neoplasia (CIN2+) and cervical cancer in HPV-positive women, comparing it with clinician-collected cervical samples.
Document Type:
Supplementary data description
Content Type:
Data file index and variable definitions
Research Field:
Epigenetics; Neurodegenerative disease research
Disease Focus:
Parkinson’s disease
Biological Material:
Human prefrontal cortex nuclei samples
Cell Types:
NeuN+ neuronal nuclei; SOX10+ oligodendrocyte nuclei; double negative glial nuclei
Genetic Factor:
GBA1 variant status
Data Types:
Sample metadata; quality control metrics; cell composition estimates; differential DNA methylation results; gene ontology analysis
Analytical Methods:
EWAS (epigenome-wide association study); linear regression analysis; interaction models; Tukey HSD test; ANOVA; χ² test
Laboratory Methods:
EPIC DNA methylation array; bisulfite conversion; fluorescence-activated nuclei sorting (FANS)
Variables Included:
PD status; GBA1 status; sex; dementia status; Braak Lewy body stage; Braak neurofibrillary tangle stage; methylation signal intensity; principal components; genomic site coordinates
Sample Groups:
PD-GBA1; PD-non-GBA1; Control-GBA1; Control-non-GBA1
Brain Region:
Prefrontal cortex
Number of Supplementary Files:
14
File Formats:
XLS spreadsheets
Key Measurements:
DNA methylation beta values; cell composition fractions; quality control metrics; differential methylation statistics
Note:
Year
Topic:
Cancer diagnosis
Document Type:
Audit tool
Target Audience:
Healthcare professionals involved in cancer diagnostics
Contextual description:
A diagnostic audit tool for evaluating and improving the capacity of healthcare services in delivering a timed HPB cancer diagnostic pathway.
Year:
2023
Region / city:
Wellington
Subject:
Pancreatic Cancer, Quality Performance Indicators
Document type:
Technical Specifications
Organization / institution:
Te Aho o Te Kahu
Author:
Te Aho o Te Kahu, Cancer Control Agency, National Pancreatic Cancer Working Group
Target audience:
Analysts, healthcare professionals
Validity period:
Ongoing
Approval date:
February 2021
Date of changes:
Not specified
Year:
2023
Region / city:
Torino, Italy; Valencia, Spain; Faenza, Italy
Topic:
Photodynamic therapy, Metal-organic frameworks, Photochemotherapy
Document Type:
Research Article
Organization / Institution:
University of Torino, Instituto de Tecnología Química, Istituto di Scienza, Tecnologia e Sostenibilità per lo Sviluppo dei Materiali Ceramici (ISSMC-CNR)
Author:
Carlotta Pontremoli, Sergio Rojas Buzo, Silvia De Toni, Kateryna Bondar, Simone Galliano, Herald Paja, Bartolomeo Civalleri, Alessandra Fiorio Pla, Francesca Carla Bonino, Nadia Barbero
Target Audience:
Researchers, Scientists, Medical professionals
Period of Validity:
N/A
Approval Date:
N/A
Modification Date:
N/A
Context:
This research article explores the integration of squaraine-based photosensitizers in hafnium-based metal–organic frameworks (MOFs) for enhanced photodynamic therapy against pancreatic cancer cells.
Year:
2025
Type of document:
Supplementary digital content
Topic:
Computational preoperative risk stratification in pancreatic surgery
Methods:
Radiomics, feature extraction, hierarchical clustering, machine learning models
Patient cohorts:
Dresden (Development), Heidelberg (External Test)
Imaging modality:
CT
Software/Tools:
TotalSegmentator v1.5.6, MIRP v2.0.0
Number of extracted features:
654
Cluster analysis:
Hierarchical agglomerative clustering
Comparison:
AutoFRS vs traditional FRS risk stratification
Content sections:
Patient selection, CT imaging characteristics, Totalsegmentator configuration, MIRP feature extraction, Feature clustering, Radiomics and clinical signatures, Evaluation of models, Web application, Glossary
Year:
2022
Region / City:
UK
Theme:
Pancreatic cancer research
Document type:
Fellowship guidelines
Organization:
Pancreatic Cancer UK
Author:
Pancreatic Cancer UK
Target audience:
Researchers with postdoctoral experience in pancreatic cancer
Period of validity:
2022-2025
Approval date:
Not specified
Date of amendments:
Not specified
Year:
2018
Region / City:
US
Topic:
Pancreatic Cancer Staging and Treatment
Document Type:
Medical Quiz
Organization:
AJCC (American Joint Committee on Cancer)
Author:
Not specified
Target Audience:
Healthcare professionals, particularly those in oncology and radiology
Effective Period:
Not specified
Approval Date:
Not specified
Date of Changes:
Not specified