AIMC Topic: Transcriptome

Clear Filters Showing 131 to 140 of 855 articles

Construction of an anaplastic thyroid cancer stratification signature to guide immune therapy selection and validation of the pivotal gene HLF through experiments.

Frontiers in immunology Jan 13, 2025
INTRODUCTION: While most thyroid cancer patients have a favorable prognosis, anaplastic thyroid carcinoma (ATC) remains a particularly aggressive form with a median survival time of just five months. Conventional therapies offer limited benefits for ...
Immunotherapy Gene Expression Profiling Gene Expression Regulation, Neoplastic Transcriptome Thyroid Carcinoma, Anaplastic Thyroid Neoplasms Cell Line, Tumor Humans Machine Learning Prognosis Biomarkers, Tumor
View on PubMed DOI

The role of mitophagy-related genes in prognosis and immunotherapy of cutaneous melanoma: a comprehensive analysis based on single-cell RNA sequencing and machine learning.

Immunologic research Jan 11, 2025
Mitophagy, the selective degradation of mitochondria by autophagy, plays a crucial role in cancer progression and therapy response. This study aims to elucidate the role of mitophagy-related genes (MRGs) in cutaneous melanoma (CM) through single-cell...
Melanoma, Cutaneous Malignant Mitophagy Machine Learning Gene Regulatory Networks Prognosis Humans Immunotherapy Melanoma Sequence Analysis, RNA Skin Neoplasms Biomarkers, Tumor Gene Expression Regulation, Neoplastic Tumor Microenvironment Gene Expression Profiling Transcriptome Single-Cell Analysis
View on PubMed DOI

Multi‑omics identification of a novel signature for serous ovarian carcinoma in the context of 3P medicine and based on twelve programmed cell death patterns: a multi-cohort machine learning study.

Molecular medicine (Cambridge, Mass.) Jan 8, 2025
BACKGROUND: Predictive, preventive, and personalized medicine (PPPM/3PM) is a strategy aimed at improving the prognosis of cancer, and programmed cell death (PCD) is increasingly recognized as a potential target in cancer therapy and prognosis. Howev...
Apoptosis Ovarian Neoplasms Cystadenocarcinoma, Serous Genomics Computational Biology Humans Multiomics Gene Expression Regulation, Neoplastic Prognosis Middle Aged Female Machine Learning Gene Expression Profiling Biomarkers, Tumor Precision Medicine Transcriptome Cohort Studies
View on PubMed DOI

Integrating bioinformatics and machine learning to identify AhR-related gene signatures for prognosis and tumor microenvironment modulation in melanoma.

Frontiers in immunology Jan 6, 2025
BACKGROUND: The Aryl Hydrocarbon Receptor (AhR) pathway significantly influences immune cell regulation, impacting the effectiveness of immunotherapy and patient outcomes in melanoma. However, the specific downstream targets and mechanisms by which A...
Mice Computational Biology Gene Expression Regulation, Neoplastic Lymphocytes, Tumor-Infiltrating Biomarkers, Tumor Humans Machine Learning Animals Receptors, Aryl Hydrocarbon Melanoma Gene Expression Profiling Prognosis Skin Neoplasms Transcriptome Tumor Microenvironment Databases, Genetic Basic Helix-Loop-Helix Transcription Factors
View on PubMed DOI

DeepQA: A Unified Transcriptome-Based Aging Clock Using Deep Neural Networks.

Aging cell Jan 5, 2025
Understanding the complex biological process of aging is of great value, especially as it can help develop therapeutics to prolong healthy life. Predicting biological age from gene expression data has shown to be an effective means to quantify aging ...
Neural Networks, Computer Machine Learning Aging Gene Expression Profiling Transcriptome Humans
View on PubMed DOI

Machine learning based identification of an amino acid metabolism related signature for predicting prognosis and immune microenvironment in pancreatic cancer.

BMC cancer Jan 3, 2025
BACKGROUND: Pancreatic cancer is a highly aggressive neoplasm characterized by poor diagnosis. Amino acids play a prominent role in the occurrence and progression of pancreatic cancer as essential building blocks for protein synthesis and key regulat...
Pancreatic Neoplasms Amino Acids Male Gene Expression Profiling Transcriptome Gene Expression Regulation, Neoplastic Humans Female Tumor Microenvironment Biomarkers, Tumor Machine Learning Prognosis
View on PubMed DOI

Transcriptomic profiling and machine learning reveal novel RNA signatures for enhanced molecular characterization of Hashimoto's thyroiditis.

Scientific reports Jan 3, 2025
While ultrasonography effectively diagnoses Hashimoto's thyroiditis (HT), exploring its transcriptomic landscape could reveal valuable insights into disease mechanisms. This study aimed to identify HT-associated RNA signatures and investigate their p...
Humans Machine Learning Gene Expression Profiling Transcriptome Case-Control Studies Gene Regulatory Networks RNA, Messenger Female Adult Male Middle Aged MicroRNAs RNA, Long Noncoding Hashimoto Disease RNA, Circular
View on PubMed DOI

Multiparametric MRI along with machine learning predicts prognosis and treatment response in pediatric low-grade glioma.

Nature communications Jan 2, 2025
Pediatric low-grade gliomas (pLGGs) exhibit heterogeneous prognoses and variable responses to treatment, leading to tumor progression and adverse outcomes in cases where complete resection is unachievable. Early prediction of treatment responsiveness...
Glioma Neoplasm Grading Progression-Free Survival Multiparametric Magnetic Resonance Imaging Brain Neoplasms Male Infant Transcriptome Humans Child Adolescent Machine Learning Immunotherapy Child, Preschool Prognosis Treatment Outcome Female
View on PubMed DOI

Deciphering Necroptosis-Associated Molecular Subtypes in Acute Ischemic Stroke Through Bioinformatics and Machine Learning Analysis.

Journal of molecular neuroscience : MN Jan 2, 2025
Acute ischemic stroke (AIS) is a severe disorder characterized by complex pathophysiological processes, which can lead to disability and death. This study aimed to determine necroptosis-associated genes in acute ischemic stroke (AIS) and to investiga...
Humans Machine Learning Transcriptome Computational Biology Protein Interaction Maps Gene Regulatory Networks Necroptosis Ischemic Stroke
View on PubMed DOI

Identification of key gene signatures for predicting chemo-immunotherapy efficacy in extensive-stage small-cell lung cancer using machine learning.

Lung cancer (Amsterdam, Netherlands) Jan 2, 2025
OBJECTIVES: The lack of definitive biomarkers presents a significant challenge for chemo-immunotherapy in extensive-stage small-cell lung cancer (ES-SCLC). We aimed to identify key genes associated with chemo-immunotherapy efficacy in ES-SCLC through...
Humans Machine Learning Female Aged Biomarkers, Tumor Prospective Studies Prognosis Treatment Outcome Neoplasm Staging Small Cell Lung Carcinoma Lung Neoplasms Immunotherapy Male Gene Expression Regulation, Neoplastic Antineoplastic Combined Chemotherapy Protocols Middle Aged Gene Expression Profiling Transcriptome
View on PubMed DOI
Popular Topics
Recent Journals