AIMC Topic: Lymphoma, Large B-Cell, Diffuse
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Artificial Intelligence Analysis of Gene Expression Data Predicted the Prognosis of Patients with Diffuse Large B-Cell Lymphoma.
The Tokai journal of experimental and clinical medicine
Apr 20, 2020
OBJECTIVE: We aimed to identify new biomarkers in Diffuse Large B-cell Lymphoma (DLBCL) using the deep learning technique.
Dissection of gene expression datasets into clinically relevant interaction signatures via high-dimensional correlation maximization.
Nature communications
Nov 28, 2019
Gene expression is controlled by many simultaneous interactions, frequently measured collectively in biology and medicine by high-throughput technologies. It is a highly challenging task to infer from these data the generating effects and cooperating...
Discriminant analysis and machine learning approach for evaluating and improving the performance of immunohistochemical algorithms for COO classification of DLBCL.
Journal of translational medicine
Jun 11, 2019
BACKGROUND: Diffuse large B-cell lymphoma (DLBCL) is classified into germinal center-like (GCB) and non-germinal center-like (non-GCB) cell-of-origin groups, entities driven by different oncogenic pathways with different clinical outcomes. DLBCL clas...
SVM-RFE: selection and visualization of the most relevant features through non-linear kernels.
BMC bioinformatics
Nov 19, 2018
BACKGROUND: Support vector machines (SVM) are a powerful tool to analyze data with a number of predictors approximately equal or larger than the number of observations. However, originally, application of SVM to analyze biomedical data was limited be...
Vitamin D deficiency and supplementation in patients with aggressive B-cell lymphomas treated with immunochemotherapy.
Cancer medicine
Dec 22, 2017
Vitamin D deficiency has been reported to be a negative prognostic factor in elderly patients with aggressive B-cell lymphomas. In vitro data suggest that vitamin D supplementation may enhance rituximab-mediated cytotoxicity. We prospectively assesse...
Characterizing Autoimmune Disease-associated Diffuse Large B-cell Lymphoma in a SEER-Medicare Cohort.
Clinical lymphoma, myeloma & leukemia
Dec 2, 2017
BACKGROUND: Severe immune dysregulation such as seen in autoimmune (AI) disease is known to act as a significant risk factor for diffuse large B-cell lymphoma (DLBCL). However, little is known about the demographics or clinical outcomes of DLBCL that...
Machine learning-based classification of diffuse large B-cell lymphoma patients by eight gene expression profiles.
Cancer medicine
Feb 11, 2016
Gene expression profiling (GEP) had divided the diffuse large B-cell lymphoma (DLBCL) into molecular subgroups: germinal center B-cell like (GCB), activated B-cell like (ABC), and unclassified (UC) subtype. However, this classification with prognosti...
Humans
Prognosis
Female
Aged
Doxorubicin
ROC Curve
Sensitivity and Specificity
Survival Analysis
Vincristine
Antineoplastic Combined Chemotherapy Protocols
Lymphoma, Large B-Cell, Diffuse
Genes, Neoplasm
Cyclophosphamide
Treatment Outcome
Male
Prednisone
Antibodies, Monoclonal, Murine-Derived
Support Vector Machine
Middle Aged
Germinal Center
Rituximab
Databases, Genetic
Gene Expression Profiling
Machine Learning-based Classification of Diffuse Large B-cell Lymphoma Patients by Their Protein Expression Profiles.
Molecular & cellular proteomics : MCP
Aug 26, 2015
Characterization of tumors at the molecular level has improved our knowledge of cancer causation and progression. Proteomic analysis of their signaling pathways promises to enhance our understanding of cancer aberrations at the functional level, but ...
Isotope Labeling
GTPase-Activating Proteins
Neprilysin
Phosphoprotein Phosphatases
Tissue Embedding
Tissue Fixation
Signal Transduction
Neoplasm Proteins
Lymphoma, Large B-Cell, Diffuse
Principal Component Analysis
Humans
Cell Line, Tumor
Formaldehyde
Machine Learning
Gene Expression Regulation, Neoplastic
Apoptosis Regulatory Proteins
Biomarkers, Tumor
Proteomics
Proteome
Predicting the risk of ibrutinib in combination with R-ICE in patients with relapsed or refractory DLBCL using explainable machine learning algorithms.
Clinical and experimental medicine
May 26, 2025
Relapsed or refractory diffuse large B-cell lymphoma (DLBCL) poses significant therapeutic challenges due to heterogeneous patient outcomes. This study aimed to evaluate the efficacy of the ibrutinib plus R-ICE regimen and to leverage explainable mac...
Epidemiology characteristics and clinical outcomes of composite Hodgkin lymphoma and diffuse large B-cell lymphoma using machine learning.
The oncologist
Apr 4, 2025
Composite lymphoma (CL) is rare. We conducted an analysis of 53 329 cases of diffuse large B-cell lymphoma (DLBCL), 17,916 cases of Hodgkin lymphoma (HL), and 869 cases of composite HL and DLBCL from the SEER database diagnosed between 2000 and 2019....
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