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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.
Wu, Dongyuan; Li, Xinyuan; Zhang, Xiaohan; Han, Fang; Lu, Xin; Liu, Lei; Zhang, Junsheng; Dong, Mei; Yang, Huanjie; Li, Hui.
Afiliación
  • Wu D; Department of Biochemistry and Molecular Biology, Basic Medical Science College, Harbin Medical University, Harbin, China.
  • Li X; Department of Pharmacy, Harbin Medical University Cancer Hospital, Harbin, China.
  • Zhang X; School of Life Science and Technology, Harbin Institute of Technology, Harbin, China.
  • Han F; School of Life Science and Technology, Harbin Institute of Technology, Harbin, China.
  • Lu X; School of Life Science and Technology, Harbin Institute of Technology, Harbin, China.
  • Liu L; School of Life Science and Technology, Harbin Institute of Technology, Harbin, China.
  • Zhang J; College of Bioinformatics Science and Technology, Harbin Medical University, Harbin, China.
  • Dong M; College of Basic Medicine, Harbin Medical University, Harbin, China.
  • Yang H; Department of Pharmacy, Harbin Medical University Cancer Hospital, Harbin, China.
  • Li H; School of Life Science and Technology, Harbin Institute of Technology, Harbin, China.
Front Oncol ; 9: 1524, 2019.
Article en En | MEDLINE | ID: mdl-32064236
ABSTRACT
Gemcitabine (GEM)-based chemotherapy is the standard regimen for the treatment of pancreatic cancer (PC). However, chemoresistance is a major challenge in PC treatment. Reliable biomarkers are urgently needed to predict the response to GEM-based therapies. GEM-sensitive (GEM-S) and GEM-resistant (GEM-R) pancreatic carcinoma xenograft models were established, and GEM monotherapy and GEM plus nanoparticle albumin-bound paclitaxel (nab-PTX) doublet therapy were administered to GEM-S/R tumor-bearing mice. Metabolomic mass spectrometry (MS) analysis of serum, liver, and tumor samples was performed using an ultraperformance liquid chromatography-quadrupole time-of-flight mass spectrometer. The results showed that both GEM monotherapy and combination therapy significantly inhibited the tumor growth in GEM-S subgroup. However, in the GEM-R subgroup, tumor growth was not significantly inhibited by GEM monotherapy, but was significantly suppressed by GEM combination therapy. Metabolic profiling analysis by hierarchical cluster analysis and partial least squares discriminant analysis showed that the differences in metabolites were most significant in serum of three types of samples in the GEM-S/R subgroups, regardless of the administration of GEM monotherapy or combination therapy. The differential metabolite analysis of serum samples revealed 38 and 26 differential metabolites between the GEM-R and GEM-S subgroups treated with GEM monotherapy or combination therapy, and four common discriminating metabolites were investigated 3-hydroxyadipic acid, d-galactose, lysophosphatidylcholine (LysoPC) (P-160), and tetradecenoyl-l-carnitine. The relative amounts of the four metabolites changed significantly and consistently after GEM monotherapy or combination therapy. The levels of these four metabolites were significantly different in the GEM-S and GEM-R pancreatic carcinoma xenograft models; thus, these metabolites could be effective predictive indicators of the efficacy of chemotherapy in PC patients, regardless of the administration of GEM alone or GEM plus nab-PTX.
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Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Tipo de estudio: Prognostic_studies / Risk_factors_studies Idioma: En Revista: Front Oncol Año: 2019 Tipo del documento: Article País de afiliación: China

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Tipo de estudio: Prognostic_studies / Risk_factors_studies Idioma: En Revista: Front Oncol Año: 2019 Tipo del documento: Article País de afiliación: China