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Gene Expression Regulation, Neoplastic

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Artificial Intelligence-Guided Identification of IGFBP7 as a Critical Indicator in Lactic Metabolism Determines Immunotherapy Response in Stomach Adenocarcinoma.

Journal of cellular and molecular medicine Jan 1, 2025
Due to considerable tumour heterogeneity, stomach adenocarcinoma (STAD) has a poor prognosis and varies in response to treatment, making it one of the main causes of cancer-related mortality globally. Recent data point to a significant role for metab...
Prognosis Stomach Neoplasms Biomarkers, Tumor Male Humans Artificial Intelligence Adenocarcinoma Cell Movement Lactic Acid Insulin-Like Growth Factor Binding Proteins Cell Line, Tumor Immunotherapy Gene Expression Regulation, Neoplastic Cell Proliferation
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TPD52 as a Therapeutic Target Identified by Machine Learning Shapes the Immune Microenvironment in Breast Cancer.

Journal of cellular and molecular medicine Jan 1, 2025
Breast cancer (BRCA) is one of the most common malignancies and a leading cause of cancer-related mortality among women globally. Despite advances in diagnosis and treatment, the heterogeneity of BRCA presents significant challenges for effective man...
Neoplasm Proteins Humans Cell Line, Tumor Machine Learning Single-Cell Analysis Breast Neoplasms Prognosis Computational Biology Female Tumor Microenvironment Gene Expression Regulation, Neoplastic Biomarkers, Tumor Gene Expression Profiling
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Identification of miR-20a as a Diagnostic and Prognostic Biomarker in Colorectal Cancer: MicroRNA Sequencing and Machine Learning Analysis.

MicroRNA (Shariqah, United Arab Emirates) Jan 1, 2025
INTRODUCTION: The differential expression of miRNAs, a key regulator in many cell signaling pathways, has been studied in various malignancies and may have an important role in cancer progression, including colorectal cancer (CRC).
Humans Gene Regulatory Networks Female Machine Learning Gene Expression Regulation, Neoplastic Colorectal Neoplasms Prognosis MicroRNAs Biomarkers, Tumor Kaplan-Meier Estimate Gene Expression Profiling
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Developing a Predictive Model for Metastatic Potential in Pancreatic Neuroendocrine Tumor.

The Journal of clinical endocrinology and metabolism Dec 18, 2024
CONTEXT: Pancreatic neuroendocrine tumors (PNETs) exhibit a wide range of behavior from localized disease to aggressive metastasis. A comprehensive transcriptomic profile capable of differentiating between these phenotypes remains elusive.
Transcriptome Cohort Studies Gene Expression Regulation, Neoplastic Pancreatic Neoplasms Biomarkers, Tumor Male Middle Aged Gene Expression Profiling Neoplasm Metastasis Neuroendocrine Tumors Humans Machine Learning Prognosis Female Aged Adult
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[Screening of characteristic genes of salivary gland adenoid cystic carcinoma based on weighted co-expression network and machine learning].

Shanghai kou qiang yi xue = Shanghai journal of stomatology Dec 1, 2024
PURPOSE: To identify potential biomarkers of salivary gland adenoid cystic carcinoma to further understand the potential pathogenesis of adenoid cystic carcinoma.
Gene Expression Regulation, Neoplastic Humans Biomarkers, Tumor RNA, Long Noncoding Machine Learning Salivary Gland Neoplasms Gene Expression Profiling Carcinoma, Adenoid Cystic ROC Curve Gene Regulatory Networks
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Deciphering the Role of SLFN12: A Novel Biomarker for Predicting Immunotherapy Outcomes in Glioma Patients Through Artificial Intelligence.

Journal of cellular and molecular medicine Dec 1, 2024
Gliomas are the most prevalent form of primary brain tumours. Recently, targeting the PD-1 pathway with immunotherapies has shown promise as a novel glioma treatment. However, not all patients experience long-lasting benefits, underscoring the necess...
Programmed Cell Death 1 Receptor Humans Artificial Intelligence Prognosis Tumor Microenvironment Biomarkers, Tumor Gene Expression Regulation, Neoplastic Brain Neoplasms Cell Proliferation Cell Line, Tumor Treatment Outcome Immunotherapy Glioma
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Machine Learning Enabled Prediction of Biologically Relevant Gene Expression Using CT-Based Radiomic Features in Non-Small Cell Lung Cancer.

Cancer medicine Dec 1, 2024
BACKGROUND: Non-small-cell lung cancer (NSCLC) remains a global health challenge, driving morbidity and mortality. The emerging field of radiogenomics utilizes statistical methods to correlate radiographic tumor features with genomic characteristics ...
Biomarkers, Tumor Male Middle Aged Gene Expression Profiling Lung Neoplasms Gene Expression Regulation, Neoplastic Carcinoma, Non-Small-Cell Lung Tomography, X-Ray Computed Female Aged Radiomics Humans Machine Learning Retrospective Studies
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Building a Risk Scoring Model for ARDS in Lung Adenocarcinoma Patients Using Machine Learning Algorithms.

Journal of cellular and molecular medicine Dec 1, 2024
Lung adenocarcinoma (LUAD), the predominant form of non-small-cell lung cancer, is frequently complicated by acute respiratory distress syndrome (ARDS), which increases mortality risks. Investigating the prognostic implications of ARDS-related genes ...
Humans Gene Expression Profiling Lung Neoplasms Gene Expression Regulation, Neoplastic Risk Factors DNA Copy Number Variations Machine Learning Respiratory Distress Syndrome Biomarkers, Tumor Mutation Algorithms Male Adenocarcinoma of Lung Prognosis Risk Assessment Female
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GD-Net: An Integrated Multimodal Information Model Based on Deep Learning for Cancer Outcome Prediction and Informative Feature Selection.

Journal of cellular and molecular medicine Dec 1, 2024
Multimodal information provides valuable resources for cancer prognosis and survival prediction. However, the computational integration of this heterogeneous data information poses significant challenges due to the complex interactions between molecu...
DNA Methylation MicroRNAs Deep Learning Algorithms Liver Neoplasms Prognosis Computational Biology Biomarkers, Tumor Gene Expression Regulation, Neoplastic Neoplasms Humans
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Machine Learning Reveals Aneuploidy Characteristics in Cancers: The Impact of BEX4.

Frontiers in bioscience (Landmark edition) Nov 29, 2024
BACKGROUND: Aneuploidy is crucial yet under-explored in cancer pathogenesis. Specifically, the involvement of brain expressed X-linked gene 4 () in microtubule formation has been identified as a potential aneuploidy mechanism. Nevertheless, 's compre...
Cytoskeletal Proteins Myristoylated Alanine-Rich C Kinase Substrate Gene Expression Regulation, Neoplastic Humans Membrane Proteins Machine Learning Cell Proliferation Neoplasms Aneuploidy
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