AIMC Topic: Cell Line, Tumor

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Wee1 inhibitor optimization through deep-learning-driven decision making.

European journal of medicinal chemistry Sep 29, 2024
Deep learning has gained increasing attention in recent years, yielding promising results in hit screening and molecular optimization. Herein, we employed an efficient strategy based on multiple deep learning techniques to optimize Wee1 inhibitors, w...
Cell Proliferation Dose-Response Relationship, Drug Protein-Tyrosine Kinases Decision Making Drug Screening Assays, Antitumor Structure-Activity Relationship Molecular Structure Protein Kinase Inhibitors Humans Antineoplastic Agents Deep Learning Cell Line, Tumor Cell Cycle Proteins
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Machine learning-based discovery of UPP1 as a key oncogene in tumorigenesis and immune escape in gliomas.

Frontiers in immunology Sep 24, 2024
INTRODUCTION: Gliomas are the most common and aggressive type of primary brain tumor, with a poor prognosis despite current treatment approaches. Understanding the molecular mechanisms underlying glioma development and progression is critical for imp...
Gene Expression Regulation, Neoplastic Tumor Escape Glioma Humans Brain Neoplasms Carcinogenesis Machine Learning Oncogenes Animals Prognosis Cell Line, Tumor Biomarkers, Tumor Mice
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Impact of Mitophagy-Related Genes on the Diagnosis and Development of Esophageal Squamous Cell Carcinoma via Single-Cell RNA-seq Analysis and Machine Learning Algorithms.

Journal of microbiology and biotechnology Sep 23, 2024
As a treatment for esophageal squamous cell carcinoma (ESCC), which is common and fatal, mitophagy is a conserved cellular mechanism that selectively removes damaged mitochondria and is crucial for cellular homeostasis. While tumor development and re...
Single-Cell Analysis Apoptosis Regulatory Proteins RNA-Seq Prognosis Mitochondrial Proteins Single-Cell Gene Expression Analysis Biomarkers, Tumor Mitophagy Gene Expression Regulation, Neoplastic Transcriptome Cell Proliferation Humans Esophageal Neoplasms Cell Line, Tumor Cell Movement Machine Learning Mitochondria Algorithms Esophageal Squamous Cell Carcinoma
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Integrated machine learning algorithms identify KIF15 as a potential prognostic biomarker and correlated with stemness in triple-negative breast cancer.

Scientific reports Sep 13, 2024
Cancer stem cells (CSCs) have the potential to self-renew and induce cancer, which may contribute to a poor prognosis by enabling metastasis, recurrence, and therapy resistance. Hence, this study was performed to identify the association between CSC-...
Tumor Microenvironment Biomarkers, Tumor Gene Expression Profiling Cell Line, Tumor Gene Expression Regulation, Neoplastic Triple Negative Breast Neoplasms Machine Learning Neoplastic Stem Cells Algorithms Kinesins Prognosis Female Humans
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Upconversion and NIR-II luminescent rare earth nanoparticles combined with machine learning for cancer theranostics.

Nanoscale Sep 12, 2024
How to develop contrast agents for cancer theranostics is a meaningful and challenging endeavor, and rare earth nanoparticles (RENPs) may provide a possible solution. In this study, we initially modified RENPs through the application of photodynamic ...
Humans Machine Learning Female Nanoparticles Anthocyanins Metals, Rare Earth Bevacizumab Theranostic Nanomedicine Breast Neoplasms Animals Cell Line, Tumor Mice
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Development of a novel prognostic signature derived from super-enhancer-associated gene by machine learning in head and neck squamous cell carcinoma.

Oral oncology Sep 7, 2024
Dysregulated super-enhancer (SE) results in aberrant transcription that drives cancer initiation and progression. SEs have been demonstrated as novel promising diagnostic/prognostic biomarkers and therapeutic targets across multiple human cancers. He...
Biomarkers, Tumor Animals Male Cell Line, Tumor Humans Machine Learning Prognosis Female Enhancer Elements, Genetic Mice Gene Expression Regulation, Neoplastic Squamous Cell Carcinoma of Head and Neck Head and Neck Neoplasms
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Low-pass whole genome sequencing of circulating tumor cells to evaluate chromosomal instability in triple-negative breast cancer.

Scientific reports Sep 3, 2024
Chromosomal Instability (CIN) is a common and evolving feature in breast cancer. Large-scale Transitions (LSTs), defined as chromosomal breakages leading to gains or losses of at least 10 Mb, have recently emerged as a metric of CIN due to their stan...
Humans Machine Learning Female Reproducibility of Results DNA Repair Predictive Learning Models Chromosomal Instability Area Under Curve Neoplastic Cells, Circulating Whole Genome Sequencing Feasibility Studies Cell Line, Tumor Triple Negative Breast Neoplasms Cell Proliferation DNA Copy Number Variations
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Deciphering colorectal cancer radioresistance and immune microrenvironment: unraveling the role of EIF5A through single-cell RNA sequencing and machine learning.

Frontiers in immunology Sep 3, 2024
BACKGROUND: Radiotherapy (RT) is a critical component of treatment for locally advanced rectal cancer (LARC), though patient response varies significantly. The variability in treatment outcomes is partly due to the resistance conferred by cancer stem...
Mice RNA-Binding Proteins Gene Expression Regulation, Neoplastic Humans Tumor Microenvironment Neoplastic Stem Cells Radiation Tolerance Machine Learning Animals Eukaryotic Translation Initiation Factor 5A Colorectal Neoplasms Cell Line, Tumor Peptide Initiation Factors Single-Cell Analysis
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Enhancing metastatic colorectal cancer prediction through advanced feature selection and machine learning techniques.

International immunopharmacology Sep 2, 2024
BACKGROUND AND AIMS: Colorectal cancer (CRC) is the third most prevalent cancer globally, posing a significant challenge due to its high rate of metastasis. Approximately 20% of patients with CRC present with distant metastases at diagnosis, and over...
Neoplasm Metastasis Animals Cell Line, Tumor Mice Gene Expression Regulation, Neoplastic Humans Machine Learning Algorithms Colorectal Neoplasms Biomarkers, Tumor
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A prognostic biomarker of disulfidptosis constructed by machine learning framework model as potential reporters of pancreatic adenocarcinoma.

Cellular signalling Aug 28, 2024
BACKGROUND: Pancreatic adenocarcinoma (PAAD), known for its high lethality, has not been thoroughly explored in terms of its mechanisms and patterns of immune infiltration. Disulfidptosis, a newly identified mode of cell death, is likely associated w...
Adenocarcinoma Apoptosis Pancreatic Neoplasms Proto-Oncogene Proteins c-met Machine Learning Biomarkers, Tumor Prognosis Humans Cell Line, Tumor Gene Expression Regulation, Neoplastic
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