AIMC Topic: Biomarkers, Tumor

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Pretrained transformers applied to clinical studies improve predictions of treatment efficacy and associated biomarkers.

Nature communications Mar 1, 2025
Cancer treatment has made significant advancements in recent decades, however many patients still experience treatment failure or resistance. Attempts to identify determinants of response have been hampered by a lack of tools that simultaneously acco...
Deep Learning Immunotherapy Treatment Outcome Humans Biomarkers, Tumor Neoplasms
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GALR1 and PENK serve as potential biomarkers in invasive non-functional pituitary neuroendocrine tumours.

Gene Feb 28, 2025
BACKGROUND: Some nonfunctioning pituitary neuroendocrine tumor (NFPitNET) can show invasive growth, which increases the difficulty of surgery and indicates a poor prognosis. However, the molecular mechanism related to invasiveness remains to be furth...
Humans Machine Learning Biomarkers, Tumor Gene Expression Profiling Signal Transduction Neoplasm Invasiveness Pituitary Neoplasms Neuroendocrine Tumors Cell Line, Tumor Protein Interaction Maps Gene Regulatory Networks Gene Expression Regulation, Neoplastic
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Identification of potential biomarkers for lung cancer using integrated bioinformatics and machine learning approaches.

PloS one Feb 27, 2025
Lung cancer is one of the most common cancer and the leading cause of cancer-related death worldwide. Early detection of lung cancer can help reduce the death rate; therefore, the identification of potential biomarkers is crucial. Thus, this study ai...
Humans Machine Learning Prognosis Biomarkers, Tumor Gene Expression Profiling ROC Curve Computational Biology Protein Interaction Maps Gene Expression Regulation, Neoplastic Gene Regulatory Networks Lung Neoplasms
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Machine Learning-Aided Intelligent Monitoring of Multivariate miRNA Biomarkers Using Bipolar Self-powered Sensors.

ACS nano Feb 26, 2025
Breast cancer has become the most prevalent form of cancer among women on a global scale. The early and timely diagnosis of breast cancer is of the utmost importance for improving the survival rate of patients with this disease. The occurrence of bre...
Biosensing Techniques MicroRNAs Multivariate Analysis Machine Learning Female Breast Neoplasms Biomarkers, Tumor Humans
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Untargeted Lipidomic Biomarkers for Liver Cancer Diagnosis: A Tree-Based Machine Learning Model Enhanced by Explainable Artificial Intelligence.

Medicina (Kaunas, Lithuania) Feb 26, 2025
: Liver cancer ranks among the leading causes of cancer-related mortality, necessitating the development of novel diagnostic methods. Deregulated lipid metabolism, a hallmark of hepatocarcinogenesis, offers compelling prospects for biomarker identifi...
Machine Learning Female Aged Adult Biomarkers, Tumor Humans Liver Neoplasms Male Artificial Intelligence Lipidomics Middle Aged Case-Control Studies
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Development of a tertiary lymphoid structure-based prognostic model for breast cancer: integrating single-cell sequencing and machine learning to enhance patient outcomes.

Frontiers in immunology Feb 26, 2025
BACKGROUND: Breast cancer, a highly prevalent global cancer, poses significant challenges, especially in advanced stages. Prognostic models are crucial to enhance patient outcomes. Tertiary lymphoid structures (TLS) within the tumor microenvironment ...
Single-Cell Analysis Lymphocytes, Tumor-Infiltrating Tertiary Lymphoid Structures Female Humans Breast Neoplasms Machine Learning Tumor Microenvironment Prognosis Biomarkers, Tumor
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Serum Metabolomics Profiling Coupled with Machine Learning Identifies Potential Diagnostic and Prognostic Candidate Markers in Meningioma Using Raman Spectroscopy, ATR-FTIR, and LC-MS/MS.

Journal of proteome research Feb 25, 2025
Meningioma, the most prevalent brain tumor, poses significant challenges due to its unclear transition from low-grade to aggressive forms, with limited knowledge about grade-specific markers. We have utilized vibrational spectroscopic techniques such...
Male Middle Aged Case-Control Studies Spectrum Analysis, Raman Aged Adult Biomarkers, Tumor Tandem Mass Spectrometry Meningioma Meningeal Neoplasms Spectroscopy, Fourier Transform Infrared Metabolomics Chromatography, Liquid Liquid Chromatography-Mass Spectrometry Humans Machine Learning Prognosis Female
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Machine learning-derived prognostic signature integrating programmed cell death and mitochondrial function in renal clear cell carcinoma: identification of PIF1 as a novel target.

Cancer immunology, immunotherapy : CII Feb 25, 2025
BACKGROUND: The pathogenesis and progression of renal cell carcinoma (RCC) involve complex programmed cell death (PCD) processes. As the powerhouse of the cell, mitochondria can influence cell death mechanisms. However, the prognostic significance of...
Humans Gene Expression Regulation, Neoplastic Apoptosis Tumor Microenvironment Mitochondria Machine Learning Biomarkers, Tumor Kidney Neoplasms Prognosis Carcinoma, Renal Cell Male Female Cell Line, Tumor
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Big data analysis and machine learning of the role of cuproptosis-related long non-coding RNAs (CuLncs) in the prognosis and immune landscape of ovarian cancer.

Frontiers in immunology Feb 25, 2025
BACKGROUND: Ovarian cancer (OC) is a severe malignant tumor with a significant threat to women's health, characterized by a high mortality rate and poor prognosis despite conventional treatments such as cytoreductive surgery and platinum-based chemot...
Cell Line, Tumor Humans Biomarkers, Tumor RNA, Long Noncoding Gene Expression Regulation, Neoplastic Machine Learning Middle Aged Ovarian Neoplasms Cell Proliferation Prognosis Big Data Cell Movement Female
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Integrated multiomics analysis and machine learning refine neutrophil extracellular trap-related molecular subtypes and prognostic models for acute myeloid leukemia.

Frontiers in immunology Feb 24, 2025
BACKGROUND: Neutrophil extracellular traps (NETs) play pivotal roles in various pathological processes. The formation of NETs is impaired in acute myeloid leukemia (AML), which can result in immunodeficiency and increased susceptibility to infection.
Neutrophils Transcriptome Gene Regulatory Networks Prognosis Multiomics Female Extracellular Traps Biomarkers, Tumor Male Leukemia, Myeloid, Acute Middle Aged Gene Expression Profiling Humans Machine Learning
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