AIMC Topic: Adenomatous Polyposis Coli

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Single-cell RNA sequencing and machine learning provide candidate drugs against drug-tolerant persister cells in colorectal cancer.

Biochimica et biophysica acta. Molecular basis of disease Jan 25, 2025
Drug resistance often stems from drug-tolerant persister (DTP) cells in cancer. These cells arise from various lineages and exhibit complex dynamics. However, effectively targeting DTP cells remains challenging. We used single-cell RNA sequencing (sc...
Humans Machine Learning Colorectal Neoplasms Antineoplastic Agents Single-Cell Analysis Sequence Analysis, RNA Pyridones Drug Resistance, Neoplasm Pyrimidinones Adenomatous Polyposis Coli Organoids
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Application of the Xi robotic platform for familial adenomatous polyposis with ultra-low rectal cancer: exploration of minimally invasive and refined therapies.

Journal of robotic surgery Apr 3, 2023
When a familial adenomatous polyposis (FAP) patient's rectal polyp undergoes malignant transformation, the surgeon needs to consider how to balance the quality of surgery with the patient's quality of life. Here, we present a case of robotic surgery ...
Humans Quality of Life Robotics Robotic Surgical Procedures Rectal Neoplasms Colectomy Adenomatous Polyposis Coli
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A Support Vector Machine Model Predicting the Risk of Duodenal Cancer in Patients with Familial Adenomatous Polyposis at the Transcript Levels.

BioMed research international Jun 16, 2020
OBJECTIVE: Familial adenomatous polyposis (FAP) is one major type of inherited duodenal cancer. The estimate of duodenal cancer risk in patients with FAP is critical for selecting the optimal treatment strategy.
Humans Risk Assessment Transcriptome Computational Biology Support Vector Machine Databases, Genetic Metabolic Networks and Pathways Adenomatous Polyposis Coli Duodenal Neoplasms
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Urinary Polyamine Biomarker Panels with Machine-Learning Differentiated Colorectal Cancers, Benign Disease, and Healthy Controls.

International journal of molecular sciences Mar 7, 2018
Colorectal cancer (CRC) is one of the most daunting diseases due to its increasing worldwide prevalence, which requires imperative development of minimally or non-invasive screening tests. Urinary polyamines have been reported as potential markers to...
Humans Machine Learning Prognosis Reproducibility of Results Colorectal Neoplasms Biomarkers, Tumor Case-Control Studies Chromatography, Liquid Diagnosis, Differential Tandem Mass Spectrometry Polyamines Adenomatous Polyposis Coli
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