BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

152 related articles for article (PubMed ID: 30880483)

  • 1. The decrease of some serum free amino acids can predict breast cancer diagnosis and progression.
    Eniu DT; Romanciuc F; Moraru C; Goidescu I; Eniu D; Staicu A; Rachieriu C; Buiga R; Socaciu C
    Scand J Clin Lab Invest; 2019; 79(1-2):17-24. PubMed ID: 30880483
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Breast cancer detection using targeted plasma metabolomics.
    Jasbi P; Wang D; Cheng SL; Fei Q; Cui JY; Liu L; Wei Y; Raftery D; Gu H
    J Chromatogr B Analyt Technol Biomed Life Sci; 2019 Jan; 1105():26-37. PubMed ID: 30562627
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Metabolic signatures of esophageal cancer: NMR-based metabolomics and UHPLC-based focused metabolomics of blood serum.
    Zhang X; Xu L; Shen J; Cao B; Cheng T; Zhao T; Liu X; Zhang H
    Biochim Biophys Acta; 2013 Aug; 1832(8):1207-16. PubMed ID: 23524237
    [TBL] [Abstract][Full Text] [Related]  

  • 4. A plasma metabolomic signature discloses human breast cancer.
    Jové M; Collado R; Quiles JL; Ramírez-Tortosa MC; Sol J; Ruiz-Sanjuan M; Fernandez M; de la Torre Cabrera C; Ramírez-Tortosa C; Granados-Principal S; Sánchez-Rovira P; Pamplona R
    Oncotarget; 2017 Mar; 8(12):19522-19533. PubMed ID: 28076849
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Taurine, glutamic acid and ethylmalonic acid as important metabolites for detecting human breast cancer based on the targeted metabolomics.
    Wang X; Zhao X; Chou J; Yu J; Yang T; Liu L; Zhang F
    Cancer Biomark; 2018; 23(2):255-268. PubMed ID: 30103303
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Metabolic fingerprinting in breast cancer stages through
    Suman S; Sharma RK; Kumar V; Sinha N; Shukla Y
    J Pharm Biomed Anal; 2018 Oct; 160():38-45. PubMed ID: 30059813
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Lipidomic Signatures for Colorectal Cancer Diagnosis and Progression Using UPLC-QTOF-ESI
    Răchieriu C; Eniu DT; Moiş E; Graur F; Socaciu C; Socaciu MA; Hajjar NA
    Biomolecules; 2021 Mar; 11(3):. PubMed ID: 33799830
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Serum metabolomics differentiating pancreatic cancer from new-onset diabetes.
    He X; Zhong J; Wang S; Zhou Y; Wang L; Zhang Y; Yuan Y
    Oncotarget; 2017 Apr; 8(17):29116-29124. PubMed ID: 28418859
    [TBL] [Abstract][Full Text] [Related]  

  • 9. A validated metabolomic signature for colorectal cancer: exploration of the clinical value of metabolomics.
    Farshidfar F; Weljie AM; Kopciuk KA; Hilsden R; McGregor SE; Buie WD; MacLean A; Vogel HJ; Bathe OF
    Br J Cancer; 2016 Sep; 115(7):848-57. PubMed ID: 27560555
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Alterations in arginine and energy metabolism, structural and signalling lipids in metastatic breast cancer in mice detected in plasma by targeted metabolomics and lipidomics.
    Kus K; Kij A; Zakrzewska A; Jasztal A; Stojak M; Walczak M; Chlopicki S
    Breast Cancer Res; 2018 Dec; 20(1):148. PubMed ID: 30514398
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Quantitative analysis of amino acids and acylcarnitines combined with untargeted metabolomics using ultra-high performance liquid chromatography and quadrupole time-of-flight mass spectrometry.
    Roy C; Tremblay PY; Bienvenu JF; Ayotte P
    J Chromatogr B Analyt Technol Biomed Life Sci; 2016 Aug; 1027():40-9. PubMed ID: 27240302
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Study of the metabolomic relationship between lung cancer and chronic obstructive pulmonary disease based on direct infusion mass spectrometry.
    Callejón-Leblic B; Pereira-Vega A; Vázquez-Gandullo E; Sánchez-Ramos JL; Gómez-Ariza JL; García-Barrera T
    Biochimie; 2019 Feb; 157():111-122. PubMed ID: 30439409
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Investigation of salivary free amino acid profile for early diagnosis of breast cancer with ultra performance liquid chromatography-mass spectrometry.
    Cheng F; Wang Z; Huang Y; Duan Y; Wang X
    Clin Chim Acta; 2015 Jul; 447():23-31. PubMed ID: 25987308
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Metabolic system alterations in pancreatic cancer patient serum: potential for early detection.
    Ritchie SA; Akita H; Takemasa I; Eguchi H; Pastural E; Nagano H; Monden M; Doki Y; Mori M; Jin W; Sajobi TT; Jayasinghe D; Chitou B; Yamazaki Y; White T; Goodenowe DB
    BMC Cancer; 2013 Sep; 13():416. PubMed ID: 24024929
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Mass spectrometry-based quantitative metabolomics revealed a distinct lipid profile in breast cancer patients.
    Qiu Y; Zhou B; Su M; Baxter S; Zheng X; Zhao X; Yen Y; Jia W
    Int J Mol Sci; 2013 Apr; 14(4):8047-61. PubMed ID: 23584023
    [TBL] [Abstract][Full Text] [Related]  

  • 16. A quantitative multimodal metabolomic assay for colorectal cancer.
    Farshidfar F; Kopciuk KA; Hilsden R; McGregor SE; Mazurak VC; Buie WD; MacLean A; Vogel HJ; Bathe OF
    BMC Cancer; 2018 Jan; 18(1):26. PubMed ID: 29301511
    [TBL] [Abstract][Full Text] [Related]  

  • 17. A novel serum metabolome score for breast cancer diagnosis.
    Rashed R; Darwish H; Omran M; Belal A; Zahran F
    Br J Biomed Sci; 2020 Oct; 77(4):196-201. PubMed ID: 32546046
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Analysis of metabolites and metabolic pathways in breast cancer in a Korean prospective cohort: the Korean Cancer Prevention Study-II.
    Yoo HJ; Kim M; Kim M; Kang M; Jung KJ; Hwang SM; Jee SH; Lee JH
    Metabolomics; 2018 Jun; 14(6):85. PubMed ID: 30830383
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Evaluation of serum amino acid profiles' utility in non-small cell lung cancer detection in Polish population.
    Klupczynska A; Dereziński P; Dyszkiewicz W; Pawlak K; Kasprzyk M; Kokot ZJ
    Lung Cancer; 2016 Oct; 100():71-76. PubMed ID: 27597283
    [TBL] [Abstract][Full Text] [Related]  

  • 20.
    ; ; . PubMed ID:
    [No Abstract]   [Full Text] [Related]  

    [Next]    [New Search]
    of 8.