AIMC Topic: Proto-Oncogene Proteins c-myc
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Deciphering the history of ERK activity from fixed-cell immunofluorescence measurements.
Nature communications
May 21, 2025
The RAS/ERK pathway plays a central role in diagnosis and therapy for many cancers. ERK activity is highly dynamic within individual cells and drives cell proliferation, metabolism, and other processes through effector proteins including c-Myc, c-Fos...
MYC Rearrangement Prediction From LYSA Whole Slide Images in Large B-Cell Lymphoma: A Multicentric Validation of Self-supervised Deep Learning Models.
Modern pathology : an official journal of the United States and Canadian Academy of Pathology, Inc
Sep 10, 2024
Large B-cell lymphoma (LBCL) is a heterogeneous lymphoid malignancy in which MYC gene rearrangement (MYC-R) is associated with a poor prognosis, prompting the recommendation for more intensive treatment. MYC-R detection relies on fluorescence in situ...
Machine Learning of Three-Dimensional Protein Structures to Predict the Functional Impacts of Genome Variation.
Journal of chemical information and modeling
Apr 18, 2024
Research in the human genome sciences generates a substantial amount of genetic data for hundreds of thousands of individuals, which concomitantly increases the number of variants of unknown significance (VUS). Bioinformatic analyses can successfully...
Machine Learning Developed a MYC Expression Feature-Based Signature for Predicting Prognosis and Chemoresistance in Pancreatic Adenocarcinoma.
Biochemical genetics
Jan 21, 2024
MYC has been identified to profoundly influence a wide range of pathologic processes in cancers. However, the prognostic value of MYC-related genes in pancreatic adenocarcinoma (PAAD) remains unclarified. Gene expression data and clinical information...
Translating prognostic quantification of c-MYC and BCL2 from tissue microarrays to whole slide images in diffuse large B-cell lymphoma using deep learning.
Diagnostic pathology
Jan 19, 2024
BACKGROUND: c-MYC and BCL2 positivity are important prognostic factors for diffuse large B-cell lymphoma. However, manual quantification is subject to significant intra- and inter-observer variability. We developed an automated method for quantificat...
Artificial intelligence to detect MYC translocation in slides of diffuse large B-cell lymphoma.
Virchows Archiv : an international journal of pathology
Sep 26, 2020
In patients with suspected lymphoma, the tissue biopsy provides lymphoma confirmation, classification, and prognostic factors, including genetic changes. We developed a deep learning algorithm to detect MYC rearrangement in scanned histological slide...
Antigens, CD20
Proto-Oncogene Proteins c-myc
Translocation, Genetic
Image Interpretation, Computer-Assisted
Deep Learning
Immunohistochemistry
Genetic Predisposition to Disease
Predictive Value of Tests
Proof of Concept Study
Humans
Reproducibility of Results
Staining and Labeling
Microscopy
Phenotype
Biomarkers, Tumor
In Situ Hybridization, Fluorescence
Lymphoma, Large B-Cell, Diffuse
Structure-based artificial intelligence-aided design of MYC-targeting degradation drugs for cancer therapy.
Biochemical and biophysical research communications
Jun 20, 2025
The MYC protein is an oncoprotein that plays a crucial role in various cancers. Although its significance has been well recognized in research, the development of drugs targeting MYC remains relatively slow. In this study, we developed a novel MYC pe...
Blood-brain barrier crossing biopolymer targeting c-Myc and anti-PD-1 activate primary brain lymphoma immunity: Artificial intelligence analysis.
Journal of controlled release : official journal of the Controlled Release Society
May 10, 2025
Primary Central Nervous System Lymphoma is an aggressive central nervous system neoplasm with poor response to pharmacological treatment, partially due to insufficient drug delivery across blood-brain barrier. In this study, we developed a novel ther...
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