Literature DB >> 21415219

Pharmacometabonomic profiling as a predictor of toxicity in patients with inoperable colorectal cancer treated with capecitabine.

Alexandra Backshall1, Rohini Sharma, Stephen J Clarke, Hector C Keun.   

Abstract

PURPOSE: Endogenous metabolic profiles have been shown to predict the fate and toxicity of drugs such as acetaminophen in healthy individuals. However, the clinical utility of metabonomics in oncology remains to be defined. We aimed to evaluate the effect of pretreatment serum metabolic profiles generated by (1)H NMR spectroscopy on toxicity in patients with inoperable colorectal cancer receiving single agent capecitabine. EXPERIMENTAL
DESIGN: Serum was collected from 54 patients with a diagnosis of locally advanced or metastatic colorectal cancer prior to treatment with single agent capecitabine. (1)H NMR spectroscopy was used to generate metabolic profile data for each patient. Toxicities were graded according to National Cancer Institute Common Toxicity Criteria version 2.0.
RESULTS: Higher levels of low-density lipoprotein-derived lipids, including polyunsaturated fatty acids and choline phospholipids predicted for higher grade toxicity over the treatment period. Statistical analyses revealed a "pharmacometabonomic" lipid profile that correlated with severity of toxicity.
CONCLUSIONS: This study suggests that metabolic profiles can delineate subpopulations susceptible to adverse events and have a potential role in the assessment of treatment viability for cancer patients prior to commencing chemotherapy. ©2011 AACR.

Entities:  

Mesh:

Substances:

Year:  2011        PMID: 21415219     DOI: 10.1158/1078-0432.CCR-10-2474

Source DB:  PubMed          Journal:  Clin Cancer Res        ISSN: 1078-0432            Impact factor:   12.531


  34 in total

1.  Pharmacometabolomics reveals a role for histidine, phenylalanine, and threonine in the development of paclitaxel-induced peripheral neuropathy.

Authors:  Yihan Sun; Jae Hyun Kim; Kiran Vangipuram; Daniel F Hayes; Ellen M L Smith; Larisa Yeomans; N Lynn Henry; Kathleen A Stringer; Daniel L Hertz
Journal:  Breast Cancer Res Treat       Date:  2018-06-26       Impact factor: 4.872

2.  Pharmacometabolomics Reveals Irinotecan Mechanism of Action in Cancer Patients.

Authors:  Xun Bao; Jianmei Wu; Seongho Kim; Patricia LoRusso; Jing Li
Journal:  J Clin Pharmacol       Date:  2018-07-27       Impact factor: 3.126

3.  Modulation of the pentose phosphate pathway alters phase I metabolism of testosterone and dextromethorphan in HepG2 cells.

Authors:  Wen-jing Xiao; Ting Ma; Chun Ge; Wen-juan Xia; Yong Mao; Run-bin Sun; Xiao-yi Yu; Ji-ye Aa; Guang-ji Wang
Journal:  Acta Pharmacol Sin       Date:  2015-01-26       Impact factor: 6.150

4.  Environmental influences in the etiology of colorectal cancer: the premise of metabolomics.

Authors:  Nicholas J W Rattray; Georgia Charkoftaki; Zahra Rattray; James E Hansen; Vasilis Vasiliou; Caroline H Johnson
Journal:  Curr Pharmacol Rep       Date:  2017-04-07

Review 5.  Circulating Biomarkers for Therapeutic Monitoring of Anti-cancer Agents.

Authors:  Helena J Janse van Rensburg; Pavlina Spiliopoulou; Lillian L Siu
Journal:  Oncologist       Date:  2022-05-06       Impact factor: 5.837

Review 6.  Metabolomics study of oral cancers.

Authors:  Xun Chen; Dongsheng Yu
Journal:  Metabolomics       Date:  2019-02-08       Impact factor: 4.290

Review 7.  Metabolic phenotyping in clinical and surgical environments.

Authors:  Jeremy K Nicholson; Elaine Holmes; James M Kinross; Ara W Darzi; Zoltan Takats; John C Lindon
Journal:  Nature       Date:  2012-11-15       Impact factor: 49.962

8.  Genetic determinants of metabolism in health and disease: from biochemical genetics to genome-wide associations.

Authors:  Steven L Robinette; Elaine Holmes; Jeremy K Nicholson; Marc E Dumas
Journal:  Genome Med       Date:  2012-04-30       Impact factor: 11.117

9.  Feasibility of pharmacometabolomics to identify potential predictors of paclitaxel pharmacokinetic variability.

Authors:  Li Chen; Ciao-Sin Chen; Yihan Sun; N Lynn Henry; Kathleen A Stringer; Daniel L Hertz
Journal:  Cancer Chemother Pharmacol       Date:  2021-06-05       Impact factor: 3.288

10.  Prediction of the pharmacokinetic parameters of triptolide in rats based on endogenous molecules in pre-dose baseline serum.

Authors:  Linsheng Liu; Bei Cao; Jiye Aa; Tian Zheng; Jian Shi; Mengjie Li; Xinwen Wang; Chunyan Zhao; Wenjing Xiao; Xiaoyi Yu; Runbin Sun; Rongrong Gu; Jun Zhou; Liang Wu; Gang Hao; Xuanxuan Zhu; Guangji Wang
Journal:  PLoS One       Date:  2012-08-17       Impact factor: 3.240

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.