AIMC Topic: Microsatellite Instability

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Clinical Implications of The Cancer Genome Atlas Molecular Classification System in Esophagogastric Cancer.

Clinical cancer research : an official journal of the American Association for Cancer Research May 15, 2025
PURPOSE: The Cancer Genome Atlas (TCGA) project defined four distinct molecular subtypes of esophagogastric adenocarcinoma: microsatellite instable (MSI), Epstein-Barr virus (EBV)-associated, genomically stable (GS), and chromosomally instable (CIN)....
Biomarkers, Tumor Male Middle Aged Female Aged Stomach Neoplasms Microsatellite Instability Esophageal Neoplasms High-Throughput Nucleotide Sequencing Adenocarcinoma Herpesvirus 4, Human Neoplasm Staging Humans Prognosis
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The Association Between Hepatocellular Carcinoma and Gastrointestinal Adenocarcinoma: Is This a New Syndrome in Patients With Cirrhosis? A Case Series.

Cancer reports (Hoboken, N.J.) May 1, 2025
AIM: This case series aimed to explore the occurrence of synchronous hepatocellular carcinoma (HCC) and gastrointestinal adenocarcinoma in cirrhotic patients and to propose a potential common pathogenic mechanism.
Neoplasms, Multiple Primary Humans Microsatellite Instability Retrospective Studies Carcinoma, Hepatocellular Aged, 80 and over Female Gastrointestinal Neoplasms Liver Cirrhosis Aged Male Wnt Signaling Pathway Adenocarcinoma Liver Neoplasms
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Artificial intelligence-driven microsatellite instability profiling reveals distinctive genetic features in patients with lung cancer.

Cancer May 1, 2025
BACKGROUND: Microsatellite instability (MSI) has emerged as a predictive biomarker for immunotherapy response in various cancers, but its role in non-small cell lung cancer (NSCLC) is not fully understood.
Aged, 80 and over Retrospective Studies Adult Female Male Biomarkers, Tumor Humans Middle Aged Artificial Intelligence Lung Neoplasms Aged Mutation High-Throughput Nucleotide Sequencing Carcinoma, Non-Small-Cell Lung Microsatellite Instability DNA Mismatch Repair
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A prediction model based on deep learning and radiomics features of DWI for the assessment of microsatellite instability in endometrial cancer.

Cancer medicine Aug 1, 2024
BACKGROUND: To explore the efficacy of a prediction model based on diffusion-weighted imaging (DWI) features extracted from deep learning (DL) and radiomics combined with clinical parameters and apparent diffusion coefficient (ADC) values to identify...
Humans Retrospective Studies ROC Curve Microsatellite Instability Endometrial Neoplasms Radiomics Diffusion Magnetic Resonance Imaging Female Middle Aged Aged Deep Learning Adult
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Contrastive Pre-Training and Multiple Instance Learning for Predicting Tumor Microsatellite Instability.

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
Accurate classification between tumor MicroSatellite Stability (MSS) and Instability (MSI) is crucial in gastrointestinal (GI) cancer prognosis and treatment. In this paper, we present a novel two-stage weakly supervised methodology, leveraging the s...
Humans Machine Learning Algorithms Multiple-Instance Learning Algorithms Stomach Neoplasms Cluster Analysis Microsatellite Instability
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DEMoS: a deep learning-based ensemble approach for predicting the molecular subtypes of gastric adenocarcinomas from histopathological images.

Bioinformatics (Oxford, England) Sep 2, 2022
MOTIVATION: The molecular subtyping of gastric cancer (adenocarcinoma) into four main subtypes based on integrated multiomics profiles, as proposed by The Cancer Genome Atlas (TCGA) initiative, represents an effective strategy for patient stratificat...
Deep Learning Adenocarcinoma Microsatellite Instability Humans Stomach Neoplasms
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MSIsensor-ct: microsatellite instability detection using cfDNA sequencing data.

Briefings in bioinformatics Sep 2, 2021
MOTIVATION: Microsatellite instability (MSI) is a promising biomarker for cancer prognosis and chemosensitivity. Techniques are rapidly evolving for the detection of MSI from tumor-normal paired or tumor-only sequencing data. However, tumor tissues a...
Microsatellite Instability High-Throughput Nucleotide Sequencing Microsatellite Repeats Circulating Tumor DNA Computational Biology Sequence Analysis, DNA Limit of Detection Software Neoplasms Humans Machine Learning
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Deep learning model for the prediction of microsatellite instability in colorectal cancer: a diagnostic study.

The Lancet. Oncology Jan 1, 2021
BACKGROUND: Detecting microsatellite instability (MSI) in colorectal cancer is crucial for clinical decision making, as it identifies patients with differential treatment response and prognosis. Universal MSI testing is recommended, but many patients...
Humans Phenotype Reproducibility of Results Colorectal Neoplasms Diagnosis, Computer-Assisted Microscopy Predictive Value of Tests Deep Learning Hematoxylin Image Interpretation, Computer-Assisted Microsatellite Instability Genetic Predisposition to Disease Staining and Labeling Eosine Yellowish-(YS) Coloring Agents
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