These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.


BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

328 related articles for article (PubMed ID: 19008263)

  • 1. Urine metabolomics analysis for kidney cancer detection and biomarker discovery.
    Kim K; Aronov P; Zakharkin SO; Anderson D; Perroud B; Thompson IM; Weiss RH
    Mol Cell Proteomics; 2009 Mar; 8(3):558-70. PubMed ID: 19008263
    [TBL] [Abstract][Full Text] [Related]  

  • 2. GC-MS metabolomics-based approach for the identification of a potential VOC-biomarker panel in the urine of renal cell carcinoma patients.
    Monteiro M; Moreira N; Pinto J; Pires-Luís AS; Henrique R; Jerónimo C; Bastos ML; Gil AM; Carvalho M; Guedes de Pinho P
    J Cell Mol Med; 2017 Sep; 21(9):2092-2105. PubMed ID: 28378454
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Urine metabolomic analysis in clear cell and papillary renal cell carcinoma: A pilot study.
    Oto J; Fernández-Pardo Á; Roca M; Plana E; Solmoirago MJ; Sánchez-González JV; Vera-Donoso CD; Martínez-Sarmiento M; España F; Navarro S; Medina P
    J Proteomics; 2020 Apr; 218():103723. PubMed ID: 32126320
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Nuclear Magnetic Resonance metabolomics reveals an excretory metabolic signature of renal cell carcinoma.
    Monteiro MS; Barros AS; Pinto J; Carvalho M; Pires-Luís AS; Henrique R; Jerónimo C; Bastos ML; Gil AM; Guedes de Pinho P
    Sci Rep; 2016 Nov; 6():37275. PubMed ID: 27857216
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Metabolomic study of human tissue and urine in clear cell renal carcinoma by LC-HRMS and PLS-DA.
    Nizioł J; Bonifay V; Ossoliński K; Ossoliński T; Ossolińska A; Sunner J; Beech I; Arendowski A; Ruman T
    Anal Bioanal Chem; 2018 Jun; 410(16):3859-3869. PubMed ID: 29658093
    [TBL] [Abstract][Full Text] [Related]  

  • 6. A comprehensive urinary metabolomic approach for identifying kidney cancerr.
    Kind T; Tolstikov V; Fiehn O; Weiss RH
    Anal Biochem; 2007 Apr; 363(2):185-95. PubMed ID: 17316536
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Urine metabolomics for kidney cancer detection and biomarker discovery.
    Ganti S; Weiss RH
    Urol Oncol; 2011; 29(5):551-7. PubMed ID: 21930086
    [TBL] [Abstract][Full Text] [Related]  

  • 8. [Urinary metabolomics study of renal cell carcinoma based on gas chromatography-mass spectrometry].
    Zhang L; Li L; Kong H; Zeng F
    Nan Fang Yi Ke Da Xue Xue Bao; 2015 May; 35(5):763-6. PubMed ID: 26018279
    [TBL] [Abstract][Full Text] [Related]  

  • 9. UPLC-MS based urine untargeted metabolomic analyses to differentiate bladder cancer from renal cell carcinoma.
    Wang Z; Liu X; Liu X; Sun H; Guo Z; Zheng G; Zhang Y; Sun W
    BMC Cancer; 2019 Dec; 19(1):1195. PubMed ID: 31805976
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Evaluation of Urine Aquaporin-1 and Perilipin-2 Concentrations as Biomarkers to Screen for Renal Cell Carcinoma: A Prospective Cohort Study.
    Morrissey JJ; Mellnick VM; Luo J; Siegel MJ; Figenshau RS; Bhayani S; Kharasch ED
    JAMA Oncol; 2015 May; 1(2):204-12. PubMed ID: 26181025
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Urine metabolomic analysis identifies potential biomarkers and pathogenic pathways in kidney cancer.
    Kim K; Taylor SL; Ganti S; Guo L; Osier MV; Weiss RH
    OMICS; 2011 May; 15(5):293-303. PubMed ID: 21348635
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Accurate quantification of urinary metabolites for predictive models manifest clinicopathology of renal cell carcinoma.
    Sato T; Kawasaki Y; Maekawa M; Takasaki S; Shimada S; Morozumi K; Sato M; Kawamorita N; Yamashita S; Mitsuzuka K; Mano N; Ito A
    Cancer Sci; 2020 Jul; 111(7):2570-2578. PubMed ID: 32350988
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Renal Cell Carcinoma Discrimination through Attenuated Total Reflection Fourier Transform Infrared Spectroscopy of Dried Human Urine and Machine Learning Techniques.
    Buhas BA; Muntean LA; Ploussard G; Feciche BO; Andras I; Toma V; Maghiar TA; Crișan N; Știufiuc RI; Lucaciu CM
    Int J Mol Sci; 2024 Sep; 25(18):. PubMed ID: 39337322
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Value of global metabolomics in association with diagnosis and clinicopathological factors of renal cell carcinoma.
    Sato T; Kawasaki Y; Maekawa M; Takasaki S; Saigusa D; Ota H; Shimada S; Yamashita S; Mitsuzuka K; Yamaguchi H; Ito A; Kinoshita K; Koshiba S; Mano N; Arai Y
    Int J Cancer; 2019 Jul; 145(2):484-493. PubMed ID: 30628065
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Searching for prognostic biomarkers for small renal masses in the urinary proteome.
    Di Meo A; Batruch I; Brown MD; Yang C; Finelli A; Jewett MA; Diamandis EP; Yousef GM
    Int J Cancer; 2020 Apr; 146(8):2315-2325. PubMed ID: 31465112
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Diagnostic role of kidney injury molecule-1 in renal cell carcinoma.
    Zhang KJ; Wilson GD; Kara S; Majeske A; Zhang PL; Hafron JM
    Int Urol Nephrol; 2019 Nov; 51(11):1893-1902. PubMed ID: 31385177
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Analysis of volatile human urinary metabolome by solid-phase microextraction in combination with gas chromatography-mass spectrometry for biomarker discovery: application in a pilot study to discriminate patients with renal cell carcinoma.
    Monteiro M; Carvalho M; Henrique R; Jerónimo C; Moreira N; de Lourdes Bastos M; de Pinho PG
    Eur J Cancer; 2014 Jul; 50(11):1993-2002. PubMed ID: 24820933
    [TBL] [Abstract][Full Text] [Related]  

  • 18. A pilot investigation of a urinary metabolic biomarker discovery in renal cell carcinoma.
    Zhang M; Liu X; Liu X; Li H; Sun W; Zhang Y
    Int Urol Nephrol; 2020 Mar; 52(3):437-446. PubMed ID: 31732842
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Aquaporin-1 protein levels elevated in fresh urine of renal cell carcinoma patients: potential use for screening and classification of incidental renal lesions.
    Sreedharan S; Petros JA; Master VA; Ogan K; Pattaras JG; Roberts DL; Lian F; Arnold RS
    Dis Markers; 2014; 2014():135649. PubMed ID: 24803718
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Serum and Urine Metabolic Fingerprints Characterize Renal Cell Carcinoma for Classification, Early Diagnosis, and Prognosis.
    Xu X; Fang Y; Wang Q; Zhai S; Liu W; Liu W; Wang R; Deng Q; Zhang J; Gu J; Huang Y; Liang D; Yang S; Chen Y; Zhang J; Xue W; Zheng J; Wang Y; Qian K; Zhai W
    Adv Sci (Weinh); 2024 Sep; 11(34):e2401919. PubMed ID: 38976567
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 17.