Gao Y - Search Results

1

Integration of Transcriptomics and Metabolomics Reveals the Antitumor Mechanism Underlying Shikonin in Colon Cancer.

Chen Y, Gao Y, Yi X, Zhang J, Chen Z, Wu Y. Chen Y, et al. Among authors: gao y. Front Pharmacol. 2020 Oct 22;11:544647. doi: 10.3389/fphar.2020.544647. eCollection 2020. Front Pharmacol. 2020. PMID: 33281602 Free PMC article.

2

Investigation of the reverse effect of Danhong injection on doxorubicin-induced cardiotoxicity in H9c2 cells: Insight by LC-MS based non-targeted metabolomic analysis.

Yi X, Zhu J, Zhang J, Gao Y, Chen Z, Lu S, Cai Z, Hong Y, Wu Y. Yi X, et al. Among authors: gao y. J Pharm Biomed Anal. 2018 Apr 15;152:264-270. doi: 10.1016/j.jpba.2018.02.012. Epub 2018 Feb 6. J Pharm Biomed Anal. 2018. PMID: 29438868

3

Integrated proteomics and metabolomics reveals the comprehensive characterization of antitumor mechanism underlying Shikonin on colon cancer patient-derived xenograft model.

Chen Y, Ni J, Gao Y, Zhang J, Liu X, Chen Y, Chen Z, Wu Y. Chen Y, et al. Among authors: gao y. Sci Rep. 2020 Aug 24;10(1):14092. doi: 10.1038/s41598-020-71116-5. Sci Rep. 2020. PMID: 32839531 Free PMC article.

4

Combined Metabolomic Analysis of Plasma and Tissue Reveals a Prognostic Risk Score System and Metabolic Dysregulation in Esophageal Squamous Cell Carcinoma.

Chen Z, Dai Y, Huang X, Chen K, Gao Y, Li N, Wang D, Chen A, Yang Q, Hong Y, Zeng S, Mao W. Chen Z, et al. Among authors: gao y. Front Oncol. 2020 Aug 26;10:1545. doi: 10.3389/fonc.2020.01545. eCollection 2020. Front Oncol. 2020. PMID: 32984013 Free PMC article.

5

Tissue-based metabolomics reveals metabolic biomarkers and potential therapeutic targets for esophageal squamous cell carcinoma.

Chen Z, Gao Y, Huang X, Yao Y, Chen K, Zeng S, Mao W. Chen Z, et al. Among authors: gao y. J Pharm Biomed Anal. 2021 Apr 15;197:113937. doi: 10.1016/j.jpba.2021.113937. Epub 2021 Feb 5. J Pharm Biomed Anal. 2021. PMID: 33609949

6

Liquid chromatography-mass spectrometry based metabolic characterization of pleural effusion in patients with acquired EGFR-TKI resistance.

Li N, Mao W, Gao Y, Wang D, Song Z, Chen Z. Li N, et al. Among authors: gao y. J Pharm Biomed Anal. 2021 Aug 5;202:114147. doi: 10.1016/j.jpba.2021.114147. Epub 2021 May 18. J Pharm Biomed Anal. 2021. PMID: 34029974

7

Combination of Plasma-Based Metabolomics and Machine Learning Algorithm Provides a Novel Diagnostic Strategy for Malignant Mesothelioma.

Li N, Yang C, Zhou S, Song S, Jin Y, Wang D, Liu J, Gao Y, Yang H, Mao W, Chen Z. Li N, et al. Among authors: gao y. Diagnostics (Basel). 2021 Jul 16;11(7):1281. doi: 10.3390/diagnostics11071281. Diagnostics (Basel). 2021. PMID: 34359365 Free PMC article.

8

Plasma-metabolite-based machine learning is a promising diagnostic approach for esophageal squamous cell carcinoma investigation.

Chen Z, Huang X, Gao Y, Zeng S, Mao W. Chen Z, et al. Among authors: gao y. J Pharm Anal. 2021 Aug;11(4):505-514. doi: 10.1016/j.jpha.2020.11.009. Epub 2020 Nov 28. J Pharm Anal. 2021. PMID: 34513127 Free PMC article.

9

A novel PDX modeling strategy and its application in metabolomics study for malignant pleural mesothelioma.

Chen Z, Yang C, Guo Z, Song S, Gao Y, Wang D, Mao W, Liu J. Chen Z, et al. Among authors: gao y. BMC Cancer. 2021 Nov 17;21(1):1235. doi: 10.1186/s12885-021-08980-5. BMC Cancer. 2021. PMID: 34789172 Free PMC article.

10

Lipid profiling in malignant mesothelioma reveals promising signatures for diagnosis and prognosis: A plasma-based LC-MS lipidomics study.

Chen Z, Song S, Yang C, Dai Z, Gao Y, Li N, Zhu J, Mao W, Liu J. Chen Z, et al. Among authors: gao y. Clin Chim Acta. 2022 Jan 1;524:34-42. doi: 10.1016/j.cca.2021.11.024. Epub 2021 Nov 27. Clin Chim Acta. 2022. PMID: 34843704

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