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Biomarkers, Tumor

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Combined bioinformatics and machine learning methodologies reveal prognosis-related ceRNA network and propose ABCA8, CAT, and CXCL12 as independent protective factors against osteosarcoma.

Advances in clinical and experimental medicine : official organ Wroclaw Medical University Aug 1, 2024
BACKGROUND: Aberrant circular RNA (circRNA) acts as an oncogene or suppressor during neoplasm initiation and development. However, the functions of most circRNAs in osteosarcoma (OS) remain unclear.
Gene Regulatory Networks Computational Biology RNA, Messenger Gene Expression Regulation, Neoplastic Machine Learning Prognosis Biomarkers, Tumor Humans ATP-Binding Cassette Transporters RNA, Circular Protective Factors RNA, Competitive Endogenous Osteosarcoma Bone Neoplasms MicroRNAs Chemokine CXCL12
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Evolutionary learning-derived lncRNA signature with biomarker discovery for predicting stage of colon adenocarcinoma.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Jul 1, 2024
In recent years, long non-coding RNAs (lncRNAs) have emerged as potential regulators of biological processes and genes, with the potential to serve as valuable biomarkers for cancer diagnosis and prognosis prediction. This work proposes an evolutiona...
Biomarkers, Tumor Gene Expression Profiling Adenocarcinoma Neoplasm Staging Humans Colonic Neoplasms RNA, Long Noncoding Machine Learning Algorithms
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Unravelling tumour cell diversity and prognostic signatures in cutaneous melanoma through machine learning analysis.

Journal of cellular and molecular medicine Jul 1, 2024
Melanoma, a highly malignant tumour, presents significant challenges due to its cellular heterogeneity, yet research on this aspect in cutaneous melanoma remains limited. In this study, we utilized single-cell data from 92,521 cells to explore the tu...
Gene Expression Regulation, Neoplastic Cell Line, Tumor Prognosis Cell Proliferation Single-Cell Analysis Melanoma Immunotherapy Cluster Analysis Skin Neoplasms Melanoma, Cutaneous Malignant Biomarkers, Tumor Humans Machine Learning
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Deciphering lung adenocarcinoma prognosis and immunotherapy response through an AI-driven stemness-related gene signature.

Journal of cellular and molecular medicine Jul 1, 2024
Lung adenocarcinoma (LUAD) is a leading cause of cancer-related deaths, and improving prognostic accuracy is vital for personalised treatment approaches, especially in the context of immunotherapy. In this study, we constructed an artificial intellig...
Humans Artificial Intelligence Prognosis Biomarkers, Tumor Gene Expression Profiling Transcriptome Cell Line, Tumor Lung Neoplasms Neoplastic Stem Cells Cell Movement Immunotherapy Adenocarcinoma of Lung Gene Expression Regulation, Neoplastic CDC2-CDC28 Kinases Cell Proliferation
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Metabolomic profiling and accurate diagnosis of basal cell carcinoma by MALDI imaging and machine learning.

Experimental dermatology Jul 1, 2024
Basal cell carcinoma (BCC), the most common keratinocyte cancer, presents a substantial public health challenge due to its high prevalence. Traditional diagnostic methods, which rely on visual examination and histopathological analysis, do not includ...
Mice Metabolomics Humans Spectrometry, Mass, Matrix-Assisted Laser Desorption-Ionization Machine Learning Algorithms Skin Neoplasms Carcinoma, Basal Cell Sensitivity and Specificity Biomarkers, Tumor Animals
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Deciphering the tumour microenvironment of clear cell renal cell carcinoma: Prognostic insights from programmed death genes using machine learning.

Journal of cellular and molecular medicine Jul 1, 2024
Clear cell renal cell carcinoma (ccRCC), a prevalent kidney cancer form characterised by its invasiveness and heterogeneity, presents challenges in late-stage prognosis and treatment outcomes. Programmed cell death mechanisms, crucial in eliminating ...
Biomarkers, Tumor Gene Expression Profiling Single-Cell Analysis Gene Expression Regulation, Neoplastic Apoptosis Humans Kidney Neoplasms Machine Learning Carcinoma, Renal Cell Prognosis Tumor Microenvironment
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Integrating machine learning and single-cell analysis to uncover lung adenocarcinoma progression and prognostic biomarkers.

Journal of cellular and molecular medicine Jul 1, 2024
The progression of lung adenocarcinoma (LUAD) from atypical adenomatous hyperplasia (AAH) to invasive adenocarcinoma (IAC) involves a complex evolution of tumour cell clusters, the mechanisms of which remain largely unknown. By integrating single-cel...
Biomarkers, Tumor Disease Progression Gene Expression Profiling Single-Cell Analysis Machine Learning Prognosis Tumor Microenvironment Lung Neoplasms Immunotherapy Gene Expression Regulation, Neoplastic Adenocarcinoma of Lung Humans
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Advancing lung adenocarcinoma prognosis and immunotherapy prediction with a multi-omics consensus machine learning approach.

Journal of cellular and molecular medicine Jul 1, 2024
Lung adenocarcinoma (LUAD) is a tumour characterized by high tumour heterogeneity. Although there are numerous prognostic and immunotherapeutic options available for LUAD, there is a dearth of precise, individualized treatment plans. We integrated mR...
Humans Machine Learning Prognosis Biomarkers, Tumor Multiomics Gene Expression Profiling Gene Expression Regulation, Neoplastic Lung Neoplasms MicroRNAs Immunotherapy Adenocarcinoma of Lung
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Using Machine Learning and miRNA for the Diagnosis of Esophageal Cancer.

The journal of applied laboratory medicine Jul 1, 2024
BACKGROUND: Esophageal cancer (EC) remains a global health challenge, often diagnosed at advanced stages, leading to high mortality rates. Current diagnostic tools for EC are limited in their efficacy. This study aims to harness the potential of micr...
Humans Neural Networks, Computer Machine Learning Biomarkers, Tumor MicroRNAs Bayes Theorem Esophageal Neoplasms
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Study of prognostic splicing factors in cancer using machine learning approaches.

Human molecular genetics Jun 21, 2024
Splicing factors (SFs) are the major RNA-binding proteins (RBPs) and key molecules that regulate the splicing of mRNA molecules through binding to mRNAs. The expression of splicing factors is frequently deregulated in different cancer types, causing ...
Computational Biology Biomarkers, Tumor RNA, Messenger Neoplasms Humans Gene Expression Regulation, Neoplastic Liver Neoplasms Machine Learning RNA-Binding Proteins Prognosis RNA Splicing Carcinoma, Hepatocellular Alternative Splicing RNA Splicing Factors
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