Multi-CpG linear regression models to accurately predict paclitaxel and docetaxel activity in cancer cell lines

MD Bacolod, PB Fisher, F Barany - Advances in Cancer Research, 2023 - Elsevier
The microtubule-targeting paclitaxel (PTX) and docetaxel (DTX) are widely used
chemotherapeutic agents. However, the dysregulation of apoptotic processes, microtubule …

[HTML][HTML] Paclitaxel response can be predicted with interpretable multi-variate classifiers exploiting DNA-methylation and miRNA data

A Bomane, A Gonçalves, PJ Ballester - Frontiers in genetics, 2019 - frontiersin.org
To address the problem of resistance to paclitaxel treatment, we have investigated to which
extent is possible to predict Breast Cancer (BC) patient response to this drug. We carried out …

A pharmacogenetic predictive model for paclitaxel clearance based on the DMET platform

AJM de Graan, L Elens, M Smid, JW Martens… - Clinical Cancer …, 2013 - AACR
Purpose: Paclitaxel is used in the treatment of solid tumors and displays high interindividual
variation in exposure. Low paclitaxel clearance could lead to increased toxicity during …

Biomarkers for sensitivity to docetaxel and paclitaxel in human tumor cell lines in vitro

E Izbicka, D Campos, G Carrizales… - Cancer Genomics & …, 2005 - cgp.iiarjournals.org
Background: Paclitaxel and docetaxel affect microtubule polymerization, yet surprising
differences in tumor sensitivity to the taxanes have been observed. Docetaxel was superior …

Prediction of a non-small cell lung cancer sensitivity to cisplatin and paclitaxel based on the marker genes expression

UA Boiarskikh, K IuV, IS Evshin, RN Sharipov… - Molekuliarnaia …, 2011 - europepmc.org
The goal of the present study was to define gene expression signatures that predict a
chemosensitivity of non-small cell lung cancer (NSCLC) to cisplatin and paclitaxel. To …

Feasibility of pharmacometabolomics to identify potential predictors of paclitaxel pharmacokinetic variability

L Chen, CS Chen, Y Sun, NL Henry, KA Stringer… - Cancer chemotherapy …, 2021 - Springer
Purpose Paclitaxel is a commonly used chemotherapy drug with substantial variability in
pharmacokinetics (PK) that affects treatment efficacy and toxicity. Pharmacometabolomic …

Molecular determinants of differential sensitivity to docetaxel and paclitaxel in human pediatric cancer models

E Izbicka, D Campos, J Marty, G Carrizales… - Anticancer …, 2006 - ar.iiarjournals.org
Background: The differential sensitivity of some tumors to paclitaxel and docetaxel raises
questions regarding the specific mechanisms responsible for the discrepant sensitivity to …

Model‐based meta‐analysis for quantifying Paclitaxel dose response in cancer patients

D Lu, A Joshi, H Li, N Zhang, MM Ren… - CPT …, 2014 - Wiley Online Library
Model‐based meta‐analysis of dose response is a sophisticated method to guide dose and
regimen selection. In this report, the effects of paclitaxel dose and regimen (weekly or every …

[HTML][HTML] Genomic signatures for paclitaxel and gemcitabine resistance in breast cancer derived by machine learning

SN Dorman, K Baranova, JHM Knoll, BL Urquhart… - Molecular …, 2016 - Elsevier
Increasingly, the effectiveness of adjuvant chemotherapy agents for breast cancer has been
related to changes in the genomic profile of tumors. We investigated correspondence …

[HTML][HTML] Prediction of acquired taxane resistance using a personalized pathway-based machine learning method

YR Kim, D Kim, SY Kim - Cancer Research and Treatment …, 2019 - synapse.koreamed.org
Purpose This study was conducted to develop and validate an individualized prediction
model for automated detection of acquired taxane resistance (ATR). Materials and Methods …