AIMC Topic: Gene Expression Regulation, Neoplastic

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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.
Female Aged Adult Biomarkers, Tumor Humans Machine Learning Prognosis Cohort Studies Gene Expression Regulation, Neoplastic Pancreatic Neoplasms Neoplasm Metastasis Neuroendocrine Tumors Male Middle Aged Gene Expression Profiling Transcriptome
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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 Regulatory Networks Gene Expression Regulation, Neoplastic RNA, Long Noncoding Salivary Gland Neoplasms Carcinoma, Adenoid Cystic Machine Learning Biomarkers, Tumor Gene Expression Profiling ROC Curve Humans
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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 Gene Expression Regulation, Neoplastic Artificial Intelligence Cell Proliferation Humans Biomarkers, Tumor Prognosis Treatment Outcome Brain Neoplasms Tumor Microenvironment Glioma Cell Line, Tumor Immunotherapy
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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 ...
Lung Neoplasms Gene Expression Regulation, Neoplastic Carcinoma, Non-Small-Cell Lung Biomarkers, Tumor Male Middle Aged Gene Expression Profiling Humans Machine Learning Retrospective Studies Tomography, X-Ray Computed Female Aged Radiomics
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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 Risk Factors Biomarkers, Tumor Male Risk Assessment Gene Expression Profiling Machine Learning Algorithms Prognosis Female Mutation Lung Neoplasms Adenocarcinoma of Lung Gene Expression Regulation, Neoplastic Respiratory Distress Syndrome DNA Copy Number Variations
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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...
MicroRNAs Prognosis Humans Biomarkers, Tumor Liver Neoplasms Algorithms Neoplasms Deep Learning Computational Biology Gene Expression Regulation, Neoplastic DNA Methylation
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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...
Myristoylated Alanine-Rich C Kinase Substrate Humans Membrane Proteins Machine Learning Cell Proliferation Neoplasms Aneuploidy Gene Expression Regulation, Neoplastic Cytoskeletal Proteins
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Comprehensive bioinformatics and machine learning analyses for breast cancer staging using TCGA dataset.

Briefings in bioinformatics Nov 22, 2024
Breast cancer is an alarming global health concern, including a vast and varied set of illnesses with different molecular characteristics. The fusion of sophisticated computational methodologies with extensive biological datasets has emerged as an ef...
Neoplasm Staging Computational Biology Gene Expression Regulation, Neoplastic Humans Databases, Genetic Female Machine Learning MicroRNAs Breast Neoplasms Algorithms Biomarkers, Tumor Gene Expression Profiling
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Unveiling Varied Cell Death Patterns in Lung Adenocarcinoma Prognosis and Immunotherapy Based on Single-Cell Analysis and Machine Learning.

Journal of cellular and molecular medicine Nov 1, 2024
Programmed cell death (PCD) pathways hold significant influence in the etiology and progression of a variety of cancer forms, particularly offering promising prognostic markers and clues to drug sensitivity for lung adenocarcinoma (LUAD) patients. We...
Humans Apoptosis Machine Learning Prognosis Cell Death Cell Line, Tumor Adenocarcinoma of Lung Single-Cell Analysis Female Lung Neoplasms Tumor Microenvironment Immunotherapy Biomarkers, Tumor Gene Expression Regulation, Neoplastic Male
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Integrated machine learning developed a prognosis-related gene signature to predict prognosis in oesophageal squamous cell carcinoma.

Journal of cellular and molecular medicine Nov 1, 2024
The mortality rate of oesophageal squamous cell carcinoma (ESCC) remains high, and conventional TNM systems cannot accurately predict its prognosis, thus necessitating a predictive model. In this study, a 17-gene prognosis-related gene signature (PRS...
Aged Biomarkers, Tumor Male Middle Aged Gene Expression Profiling Transcriptome ROC Curve Gene Expression Regulation, Neoplastic Machine Learning Algorithms Prognosis Female Humans Esophageal Neoplasms Kaplan-Meier Estimate Esophageal Squamous Cell Carcinoma
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