Literature DB >> 29385795

Pharmacometabonomics Analysis Reveals Serum Formate and Acetate Potentially Associated with Varying Response to Gemcitabine-Carboplatin Chemotherapy in Metastatic Breast Cancer Patients.

Limiao Jiang1,2, Soo Chin Lee3,4, Thian C Ng2.   

Abstract

Gemcitabine-carboplatin (GC) chemotherapy was efficacious in metastatic breast cancer (MBC) patients probably resistant to anthracyclines and taxanes, but showed significant interindividual variation in treatment responses. Early prediction of response to treatment is clinically relevant to identify patients who will achieve clinical benefit. In this study, nuclear magnetic resonance (NMR) based pharmacometabonomics was used to noninvasively predict the response to GC chemotherapy of 29 MBC patients with prior exposure to both anthracyclines and taxanes from a phase II study. Formate and acetate levels in the baseline serum collected prior to GC chemotherapy were identified as potential predictive markers to select patients who will achieve clinical benefit and to identify those who should not be treated with the therapy to avoid futile treatment. The significantly lower baseline levels of serum formate and acetate in patients with resistant disease may reflect the higher demand of them as alternate/additional nutritional sources to fuel the accelerated proliferation of breast cancer cells that are biologically more aggressive or resistant to therapy. The results suggest that pharmacometabonomics can be a potential useful tool for predicting chemotherapy response in the context of precision medicine. Prospective studies with larger patient cohorts are required for validation of the findings.

Entities:  

Keywords:  breast cancer; chemotherapy; gemcitabine-carboplatin; pharmacometabolomics; pharmacometabonomics

Mesh:

Substances:

Year:  2018        PMID: 29385795     DOI: 10.1021/acs.jproteome.7b00859

Source DB:  PubMed          Journal:  J Proteome Res        ISSN: 1535-3893            Impact factor:   4.466


  8 in total

1.  Stratification of cancer and diabetes based on circulating levels of formate and glucose.

Authors:  Matthias Pietzke; Salvador Fernandez Arroyo; David Sumpton; Gillian M Mackay; Begoña Martin-Castillo; Jordi Camps; Jorge Joven; Javier A Menendez; Alexei Vazquez
Journal:  Cancer Metab       Date:  2019-04-24

2.  Highly Efficient Separation of Ultratrace Radioactive Copper Using a Flow Electrolysis Cell.

Authors:  Yumi Sugo; Shin-Ichi Ohira; Hinako Manabe; Yo-Hei Maruyama; Naoaki Yamazaki; Ryoma Miyachi; Kei Toda; Noriko S Ishioka; Masanobu Mori
Journal:  ACS Omega       Date:  2022-04-27

Review 3.  Precision Oncology via NMR-Based Metabolomics: A Review on Breast Cancer.

Authors:  Alessia Vignoli; Emanuela Risi; Amelia McCartney; Ilenia Migliaccio; Erica Moretti; Luca Malorni; Claudio Luchinat; Laura Biganzoli; Leonardo Tenori
Journal:  Int J Mol Sci       Date:  2021-04-28       Impact factor: 5.923

4.  Systems Metabolic Alteration in a Semi-Dwarf Rice Mutant Induced by OsCYP96B4 Gene Mutation.

Authors:  Limiao Jiang; Rengasamy Ramamoorthy; Srinivasan Ramachandran; Prakash P Kumar
Journal:  Int J Mol Sci       Date:  2020-03-11       Impact factor: 5.923

5.  Circulating miR-4763-3p Is a Novel Potential Biomarker Candidate for Human Adult Fulminant Myocarditis.

Authors:  Xiang Nie; Mengying He; Jin Wang; Peng Chen; Feng Wang; Jinsheng Lai; Chenze Li; Ting Yu; Houjuan Zuo; Guanglin Cui; Kun Miao; Jiangang Jiang; Dao Wen Wang; Chen Chen
Journal:  Mol Ther Methods Clin Dev       Date:  2020-05-12       Impact factor: 6.698

6.  Longitudinal Pharmacometabonomics for Predicting Malignant Tumor Patient Responses to Anlotinib Therapy: Phenotype, Efficacy, and Toxicity.

Authors:  Ting Hu; Zhuoling An; Yongkun Sun; Xunqiang Wang; Ping Du; Pengfei Li; Yihebali Chi; Lihong Liu
Journal:  Front Oncol       Date:  2020-11-12       Impact factor: 6.244

Review 7.  Metabolomics and health: from nutritional crops and plant-based pharmaceuticals to profiling of human biofluids.

Authors:  Andrey S Marchev; Liliya V Vasileva; Kristiana M Amirova; Martina S Savova; Zhivka P Balcheva-Sivenova; Milen I Georgiev
Journal:  Cell Mol Life Sci       Date:  2021-08-19       Impact factor: 9.261

8.  Pharmacometabolomics Identifies 3-Hydroxyadipic Acid, d-Galactose, Lysophosphatidylcholine (P-16:0), and Tetradecenoyl-l-Carnitine as Potential Predictive Indicators of Gemcitabine Efficacy in Pancreatic Cancer Patients.

Authors:  Dongyuan Wu; Xinyuan Li; Xiaohan Zhang; Fang Han; Xin Lu; Lei Liu; Junsheng Zhang; Mei Dong; Huanjie Yang; Hui Li
Journal:  Front Oncol       Date:  2020-01-29       Impact factor: 6.244

  8 in total

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