Literature DB >> 31373204

Integration of Metabolomics and Transcriptomics To Reveal Metabolic Characteristics and Key Targets Associated with Cisplatin Resistance in Nonsmall Cell Lung Cancer.

Yuhuan Shi1, Yuanyuan Wang1, Wanying Huang2, Yang Wang2, Rong Wang1, Yongfang Yuan1.   

Abstract

Continuous exposure to cisplatin can induce drug resistance to limit efficacy; however, the underlying mechanisms correlated with cisplatin resistance are still unclear. Drug-sensitive A549 cells and cisplatin-resistant A549/DDP cells were used to explore the potential metabolic pathways and key targets associated with cisplatin resistance by integrating untargeted metabolomics with transcriptomics. Data are available via ProteomeXchange with identifier PXD013265. The results of comprehensive analyses showed that 19 metabolites were significantly changed in A549/DDP versus A549 cells, and some pathways had a close relationship with cisplatin resistance, such as the biosynthesis of aminoacyl-tRNA, glycerophospholipid metabolism, and glutathione metabolism. Moreover, transcriptomics analysis showed that the glutathione metabolism was also obviously affected in A549/DDP, which indicated that the glutathione metabolism played an important role in the process of drug resistance. Meanwhile, transcriptomics analysis suggested the four enzymes related to glutathione metabolism-CD13, GPX4, RRM2B, and OPLAH-as potential targets of cisplatin resistance in nonsmall cell lung cancer. Further studies identified the overexpression of these four enzymes in A549/DDP. The elucidation of mechanism and discovery of new potential targets may help us have a better understanding of cisplatin resistance.

Entities:  

Keywords:  NSCLC; cisplatin resistance; metabolomics; transcriptomics

Year:  2019        PMID: 31373204     DOI: 10.1021/acs.jproteome.9b00209

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


  10 in total

1.  Integrative exposomic, transcriptomic, epigenomic analyses of human placental samples links understudied chemicals to preeclampsia.

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Journal:  Environ Int       Date:  2022-06-30       Impact factor: 13.352

2.  The Differential Metabolic Response of Oral Squamous Cell Carcinoma Cells and Normal Oral Epithelial Cells to Cisplatin Exposure.

Authors:  Xun Chen; Sufang Kuang; Yi He; Hongyu Li; Chen Yi; Yiming Li; Chao Wang; Guanhui Chen; Shangwu Chen; Dongsheng Yu
Journal:  Metabolites       Date:  2022-04-25

3.  Combined Microbiome and Metabolome Analysis Reveals a Novel Interplay Between Intestinal Flora and Serum Metabolites in Lung Cancer.

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Journal:  Front Cell Infect Microbiol       Date:  2022-05-02       Impact factor: 6.073

4.  1H HR-MAS NMR Based Metabolic Profiling of Lung Cancer Cells with Induced and De-Induced Cisplatin Resistance to Reveal Metabolic Resistance Adaptations.

Authors:  Martina Vermathen; Hendrik von Tengg-Kobligk; Martin Nils Hungerbühler; Peter Vermathen; Nico Ruprecht
Journal:  Molecules       Date:  2021-11-09       Impact factor: 4.411

5.  Oxaliplatin induces ferroptosis and oxidative stress in HT29 colorectal cancer cells by inhibiting the Nrf2 signaling pathway.

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Authors:  Anna Stavitskaya; Eliza Sitmukhanova; Adeliya Sayfutdinova; Elnara Khusnetdenova; Kristina Mazurova; Kirill Cherednichenko; Ekaterina Naumenko; Rawil Fakhrullin
Journal:  Pharmaceutics       Date:  2022-06-21       Impact factor: 6.525

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8.  Exogenous proline enhances susceptibility of NSCLC to cisplatin via metabolic reprogramming and PLK1-mediated cell cycle arrest.

Authors:  Bingjie Han; Yuanyuan Sun; Xiaofen Zhang; Ping Yue; Meiling Tian; Dan Yan; Fanxiang Yin; Bo Qin; Yi Zhao
Journal:  Front Pharmacol       Date:  2022-07-14       Impact factor: 5.988

Review 9.  Wnt-Independent and Wnt-Dependent Effects of APC Loss on the Chemotherapeutic Response.

Authors:  Casey D Stefanski; Jenifer R Prosperi
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10.  Metabolic pathways underlying GATA6 regulating Trastuzumab resistance in Gastric Cancer cells based on untargeted metabolomics.

Authors:  Jinxia Chang; Qiang Wang; Anup Bhetuwal; Wenhu Liu
Journal:  Int J Med Sci       Date:  2020-10-23       Impact factor: 3.738

  10 in total

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