AIMC Topic: Gemcitabine
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Preoperative treatment response prediction for pancreatic cancer by multiple microRNAs in plasma exosomes: Optimization using machine learning and network analysis.
Pancreatology : official journal of the International Association of Pancreatology (IAP) ... [et al.]
Sep 10, 2024
BACKGROUND/OBJECTIVES: MicroRNAs (miRNAs) are involved in chemosensitivity through their biological activities in various malignancies, including pancreatic cancer (PC). However, single-miRNA models offer limited predictability of treatment response....
Noninvasive Computed Tomography-Based Deep Learning Model Predicts In Vitro Chemosensitivity Assay Results in Pancreatic Cancer.
Pancreas
Nov 24, 2023
OBJECTIVES: We aimed to predict in vitro chemosensitivity assay results from computed tomography (CT) images by applying deep learning (DL) to optimize chemotherapy for pancreatic ductal adenocarcinoma (PDAC).
Factors associated with long-term survival in gemcitabine-concurrent proton radiotherapy for non-metastatic locally advanced pancreatic cancer: a single-center retrospective study.
Radiation oncology (London, England)
Feb 10, 2022
BACKGROUND: Factors associated with long-term survival in gemcitabine-concurrent proton radiotherapy (GPT) for non-metastatic, locally advanced pancreatic cancer (LAPC) remain unclear. This study aimed to determine the factors associated with long-te...
Utilization of circulating cell-free DNA profiling to guide first-line chemotherapy in advanced lung squamous cell carcinoma.
Theranostics
Jan 1, 2021
Platinum-based chemotherapy is one of treatment mainstay for patients with advanced lung squamous cell carcinoma (LUSC) but it is still a "one-size fits all" approach. Here, we aimed to investigate the predictive and monitoring role of circulating c...
Machine Learning
Prognosis
Female
Carcinoma, Squamous Cell
Aged
Humans
Paclitaxel
Antineoplastic Combined Chemotherapy Protocols
Progression-Free Survival
Treatment Outcome
Survival Rate
Deoxycytidine
Cell-Free Nucleic Acids
Male
Gemcitabine
DNA Copy Number Variations
Middle Aged
Circulating Tumor DNA
Cisplatin
Lung Neoplasms
Leveraging TCGA gene expression data to build predictive models for cancer drug response.
BMC bioinformatics
Sep 30, 2020
BACKGROUND: Machine learning has been utilized to predict cancer drug response from multi-omics data generated from sensitivities of cancer cell lines to different therapeutic compounds. Here, we build machine learning models using gene expression da...
A machine learning algorithm predicts molecular subtypes in pancreatic ductal adenocarcinoma with differential response to gemcitabine-based versus FOLFIRINOX chemotherapy.
PloS one
Oct 2, 2019
PURPOSE: Development of a supervised machine-learning model capable of predicting clinically relevant molecular subtypes of pancreatic ductal adenocarcinoma (PDAC) from diffusion-weighted-imaging-derived radiomic features.
Keratins, Type II
Leucovorin
Oxaliplatin
Pancreatic Neoplasms
Neoplasm Proteins
Fluorouracil
Carcinoma, Pancreatic Ductal
Disease-Free Survival
Deoxycytidine
Gemcitabine
Irinotecan
Keratins, Hair-Specific
Survival Rate
Sensitivity and Specificity
Male
Middle Aged
Antineoplastic Combined Chemotherapy Protocols
Machine Learning
Retrospective Studies
Female
Adult
Humans
Machine learning predicts individual cancer patient responses to therapeutic drugs with high accuracy.
Scientific reports
Nov 6, 2018
Precision or personalized cancer medicine is a clinical approach that strives to customize therapies based upon the genomic profiles of individual patient tumors. Machine learning (ML) is a computational method particularly suited to the establishmen...
Ultra-sensitive LC-MS/MS method for the quantification of gemcitabine and its metabolite 2',2'-difluorodeoxyuridine in human plasma for a microdose clinical trial.
Journal of pharmaceutical and biomedical analysis
Dec 26, 2017
In microdose clinical trials a maximum of 100 μg of drug substance is administered to participants, in order to determine the pharmacokinetic properties of the agents. Measuring low plasma concentrations after administration of a microdose is challen...
Monitoring vascular normalization induced by antiangiogenic treatment with (18)F-fluoromisonidazole-PET.
Molecular oncology
Dec 22, 2015
BACKGROUND: Rationalization of antiangiogenics requires biomarkers. Vascular re-normalization is one widely accepted mechanism of action for this drug class. The interstitium of tumors with abnormal vasculature is hypoxic. We sought to track vascular...
Misonidazole
Quinolones
Angiogenesis Inhibitors
Female
Humans
Fluorine Radioisotopes
Neovascularization, Pathologic
Breast Neoplasms
Mice, Nude
Pancreas
Animals
Pancreatic Neoplasms
Benzimidazoles
Cell Hypoxia
Cell Line, Tumor
Breast
Antimetabolites, Antineoplastic
Mice
Positron-Emission Tomography
Deoxycytidine
Gemcitabine
Genomic signatures for paclitaxel and gemcitabine resistance in breast cancer derived by machine learning.
Molecular oncology
Aug 22, 2015
Increasingly, the effectiveness of adjuvant chemotherapy agents for breast cancer has been related to changes in the genomic profile of tumors. We investigated correspondence between growth inhibitory concentrations of paclitaxel and gemcitabine (GI5...
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