AIMC Topic: Antigens, Neoplasm
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Optimized generation of high-resolution phantom images using cGAN: Application to quantification of Ki67 breast cancer images.
PloS one
May 9, 2018
In pathology, Immunohistochemical staining (IHC) of tissue sections is regularly used to diagnose and grade malignant tumors. Typically, IHC stain interpretation is rendered by a trained pathologist using a manual method, which consists of counting e...
Electrochemical immunosensor for the breast cancer marker CA 15-3 based on the catalytic activity of a CuS/reduced graphene oxide nanocomposite towards the electrooxidation of catechol.
Mikrochimica acta
Dec 26, 2017
The authors report on an electrochemical immunosensor for the tumor marker carbohydrate antigen 15-3 (CA15-3). It is based on the use of a composite consisting of reduced graphene oxide (RGO) and copper sulfide (CuS) that was placed on a screen-print...
PSCA rs1045531 Polymorphism and the Risk of Prostate Cancer in a Chinese Population Undergoing Prostate Biopsy.
Technology in cancer research & treatment
Nov 14, 2017
BACKGROUND AND PURPOSE: This study explored the association between a single-nucleotide polymorphism of prostate stem cell antigen and prostate cancer in Chinese patients undergoing prostate biopsy.
and cell-based analyses reveal strong divergence between prediction and observation of T-cell-recognized tumor antigen T-cell epitopes.
The Journal of biological chemistry
May 23, 2017
Tumor exomes provide comprehensive information on mutated, overexpressed genes and aberrant splicing, which can be exploited for personalized cancer immunotherapy. Of particular interest are mutated tumor antigen T-cell epitopes, because neoepitope-s...
Oligopeptides
Immunogenicity, Vaccine
Mice, Transgenic
Models, Immunological
Protein Refolding
T-Lymphocytes, Cytotoxic
Melanoma
Epitopes
Reproducibility of Results
Humans
HLA-A2 Antigen
Animals
Neoplasm Proteins
Artificial Intelligence
Protein Stability
Computational Biology
Cells, Cultured
Expert Systems
Mice, Knockout
Cancer Vaccines
Peptide Fragments
Antigens, Neoplasm
Vaccines, Synthetic
Membrane Proteins
Highly sensitive detection of multiple tumor markers for lung cancer using gold nanoparticle probes and microarrays.
Analytica chimica acta
Dec 26, 2016
Assay of multiple serum tumor markers such as carcinoembryonic antigen (CEA), cytokeratin 19 fragment antigen (CYFRA21-1), and neuron specific enolase (NSE), is important for the early diagnosis of lung cancer. Dickkopf-1 (DKK1), a novel serological ...
Unbiased estimation of biomarker panel performance when combining training and testing data in a group sequential design.
Biometrics
Feb 4, 2016
Motivated by an ongoing study to develop a screening test able to identify patients with undiagnosed Sjögren's Syndrome in a symptomatic population, we propose methodology to combine multiple biomarkers and evaluate their performance in a two-stage g...
Leveraging Artificial Intelligence for Neoantigen Prediction.
Cancer research
Jul 2, 2025
Neoantigens represent a class of antigens within tumor microenvironments that arise from diverse somatic mutations and aberrations specific to tumorigenesis, holding substantial promise for advancing tumor immunotherapy. However, only a subset of neo...
Phage display enables machine learning discovery of cancer antigen-specific TCRs.
Science advances
Jun 13, 2025
T cells targeting epitopes in infectious diseases or cancer play a central role in spontaneous and therapy-induced immune responses. Epitope recognition is mediated by the binding of the T cell receptor (TCR), and TCRs recognizing clinically relevant...
Machine Learning Models Based on Stretched-Exponential Diffusion Weighted Imaging to Predict TROP2 Expression in Nude Mouse Breast Cancer Models.
Discovery medicine
Mar 1, 2025
BACKGROUND: Trophoblast cell surface antigen 2 (TROP2) is a promising target for various cancers, including breast cancer. The development of noninvasive techniques for assessing TROP2 expression in tumors holds considerable importance. This study ai...
NeoaPred: a deep-learning framework for predicting immunogenic neoantigen based on surface and structural features of peptide-human leukocyte antigen complexes.
Bioinformatics (Oxford, England)
Sep 2, 2024
MOTIVATION: Neoantigens, derived from somatic mutations in cancer cells, can elicit anti-tumor immune responses when presented to autologous T cells by human leukocyte antigen. Identifying immunogenic neoantigens is crucial for cancer immunotherapy d...
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