AIMC Topic: Cell-Free Nucleic Acids

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Detecting pulmonary malignancy against benign nodules using noninvasive cell-free DNA fragmentomics assay.

ESMO open Jul 31, 2024
BACKGROUND: Early screening using low-dose computed tomography (LDCT) can reduce mortality caused by non-small-cell lung cancer. However, ∼25% of the 'suspicious' pulmonary nodules identified by LDCT are later confirmed benign through resection surge...
Cell-Free Nucleic Acids Multiple Pulmonary Nodules Early Detection of Cancer Liquid Biopsy Middle Aged Lung Neoplasms Carcinoma, Non-Small-Cell Lung Humans Machine Learning Tomography, X-Ray Computed Female Aged Male
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Tissue of origin detection for cancer tumor using low-depth cfDNA samples through combination of tumor-specific methylation atlas and genome-wide methylation density in graph convolutional neural networks.

Journal of translational medicine Jul 3, 2024
BACKGROUND: Cell free DNA (cfDNA)-based assays hold great potential in detecting early cancer signals yet determining the tissue-of-origin (TOO) for cancer signals remains a challenging task. Here, we investigated the contribution of a methylation at...
DNA Methylation Cell-Free Nucleic Acids Genome, Human Humans Organ Specificity Neural Networks, Computer Algorithms Neoplasms
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Deep learning model integrating cfDNA methylation and fragment size profiles for lung cancer diagnosis.

Scientific reports Jun 26, 2024
Detecting aberrant cell-free DNA (cfDNA) methylation is a promising strategy for lung cancer diagnosis. In this study, our aim is to identify methylation markers to distinguish patients with lung cancer from healthy individuals. Additionally, we soug...
Humans Female Aged Cell-Free Nucleic Acids Deep Learning ROC Curve Lung Neoplasms DNA Methylation Biomarkers, Tumor Male Middle Aged
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Prediction of Transcription Factor Binding Sites on Cell-Free DNA Based on Deep Learning.

Journal of chemical information and modeling May 9, 2024
Transcription factors (TFs) are important regulatory elements for vital cellular activities, and the identification of transcription factor binding sites (TFBS) can help to explore gene regulatory mechanisms. Research studies have proved that cfDNA (...
Binding Sites Humans Deep Learning Transcription Factors Cell-Free Nucleic Acids DNA
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A Machine learning model for predicting sepsis based on an optimized assay for microbial cell-free DNA sequencing.

Clinica chimica acta; international journal of clinical chemistry May 4, 2024
OBJECTIVE: To integrate an enhanced molecular diagnostic technique to develop and validate a machine-learning model for diagnosing sepsis.
Prospective Studies Female Aged Male Humans Machine Learning Cell-Free Nucleic Acids Middle Aged Sepsis Sequence Analysis, DNA
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Machine learning-enhanced noninvasive prenatal testing of monogenic disorders.

Prenatal diagnosis Apr 30, 2024
OBJECTIVE: Single-nucleotide variants (SNVs) are of great significance in prenatal diagnosis as they are the leading cause of inherited single-gene disorders (SGDs). Identifying SNVs in a non-invasive prenatal screening (NIPS) scenario is particularl...
Genetic Diseases, Inborn Noninvasive Prenatal Testing Female Polymorphism, Single Nucleotide Cell-Free Nucleic Acids Bayes Theorem Humans Machine Learning Pregnancy
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The role of cell-free DNA biomarkers and patient data in the early prediction of preeclampsia: an artificial intelligence model.

American journal of obstetrics and gynecology Mar 2, 2024
BACKGROUND: Accurate individualized assessment of preeclampsia risk enables the identification of patients most likely to benefit from initiation of low-dose aspirin at 12 to 16 weeks of gestation when there is evidence for its effectiveness, and ena...
Humans Pregnancy Cell-Free Nucleic Acids Neural Networks, Computer Female Predictive Value of Tests Artificial Intelligence Adult Pre-Eclampsia Prospective Studies Logistic Models Gestational Age Biomarkers
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Comprehensive tissue deconvolution of cell-free DNA by deep learning for disease diagnosis and monitoring.

Proceedings of the National Academy of Sciences of the United States of America Jul 3, 2023
Plasma cell-free DNA (cfDNA) is a noninvasive biomarker for cell death of all organs. Deciphering the tissue origin of cfDNA can reveal abnormal cell death because of diseases, which has great clinical potential in disease detection and monitoring. D...
Humans Biomarkers Biomarkers, Tumor Deep Learning DNA Methylation Cell-Free Nucleic Acids Promoter Regions, Genetic
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Prediction model for malignant pulmonary nodules based on cfMeDIP-seq and machine learning.

Cancer science Jul 21, 2021
Cell-free methylated DNA immunoprecipitation and high-throughput sequencing (cfMeDIP-seq) is a new bisulfite-free technique, which can detect the whole-genome methylation of blood cell-free DNA (cfDNA). Using this technique, we identified differentia...
High-Throughput Nucleotide Sequencing Immunoprecipitation Lung Neoplasms DNA Methylation Cell-Free Nucleic Acids Multiple Pulmonary Nodules Male Middle Aged Case-Control Studies Humans Aged Machine Learning Aged, 80 and over Prognosis Adult Female Sensitivity and Specificity
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Utilization of circulating cell-free DNA profiling to guide first-line chemotherapy in advanced lung squamous cell carcinoma.

Theranostics Jan 1, 2021
Platinum-based chemotherapy is one of treatment mainstay for patients with advanced lung squamous cell carcinoma (LUSC) but it is still a "one-size fits all" approach. Here, we aimed to investigate the predictive and monitoring role of circulating c...
Deoxycytidine Male Female Antineoplastic Combined Chemotherapy Protocols Middle Aged Gemcitabine Carcinoma, Squamous Cell Treatment Outcome Lung Neoplasms Circulating Tumor DNA Cisplatin Aged Cell-Free Nucleic Acids Survival Rate DNA Copy Number Variations Paclitaxel Progression-Free Survival Humans Machine Learning Prognosis
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