146
Views
0
CrossRef citations to date
0
Altmetric
Research Article

Exploring Serum Metabolic Markers for the Discrimination of Ccrcc From Renal Angiomyolipoma By Metabolomics

, , , , , & ORCID Icon show all
Pages 675-682 | Received 16 May 2019, Accepted 07 Apr 2020, Published online: 02 Jul 2020

References

  • Ghatalia P , RathmellWK. Systematic review: ClearCode 34 – a validated prognostic signature in clear cell renal cell carcinoma (ccRCC). Kidney Cancer2(1), 23–29 (2018).
  • Nabi S , KesslerER, BernardB, FlaigTW, LamET. Renal cell carcinoma: a review of biology and pathophysiology. F1000Res.7(730), 1–10 (2018).
  • Alhusban M , AlhamssS, AlzumailiB, Al-DaghminA. Ipsilateral synchronous clear and papillary renal cell carcinoma: a case report and review of the literature. Urol. Case Rep.16, 110–113 (2018).
  • Clyne M . Kidney cancer: metabolomics for targeted therapy. Nat. Rev. Urol.9(7), 355 (2012).
  • Rampersaud EN , KlatteT, BassGet al. The effect of gender and age on kidney cancer survival: younger age is an independent prognostic factor in women with renal cell carcinoma. Urol. Oncol.32(1), 30, e39–13 (2014).
  • Battisti S , BraudG, RigaudJ, BouchotO. [Sporadic kidney cancer in patients younger than 45]. Prog. Urol.17(5), 934–938 (2007).
  • Pal SK , FiglinRA. Targeted therapies for renal cell carcinoma: understanding their impact on survival. Target. Oncol.5(2), 131–138 (2010).
  • Flum AS , HamouiN, SaidMAet al. Update on the diagnosis and management of renal angiomyolipoma. J. Urol.195(4 Pt 1), 834–846 (2016).
  • Lim RS , FloodTA, McinnesMDF, LavalleeLT, SchiedaN. Renal angiomyolipoma without visible fat: can we make the diagnosis using CT and MRI?Eur. Radiol.28(2), 542–553 (2018).
  • Hakim SW , SchiedaN, HodgdonT, McinnesMDF, DilauroM, FloodTA. Angiomyolipoma (AML) without visible fat: ultrasound, CT and MR imaging features with pathological correlation. Eur. Radiol.26(2), 592–600 (2016).
  • Catalano OA , SamirAE, SahaniDV, HahnPF. Pixel distribution analysis: can it be used to distinguish clear cell carcinomas from angiomyolipomas with minimal fat?Radiology247(3), 738–746 (2008).
  • Li Y , ZhaoJX, YangGJ, ZhangW, LouZY. Analysis of serum metabolite composition in patients with early stage clear cell renal cell carcinoma by 1HNMR spectroscopy metabonomic study. Acad. J. Second Mil. Med. Univ.33(1), 67–70 (2012).
  • Lin L , HuangZZ, GaoYet al. LC-MS-based serum metabolic profiling for genitourinary cancer classification and cancer type-specific biomarker discovery. Proteomics12(14), 2238–2246 (2012).
  • Yu M , XiangT, WuXet al. Diagnosis of acute pediatric appendicitis from children with inflammatory diseases by combination of metabolic markers and inflammatory response variables. Clin. Chem. Lab. Med.56(6), 1001–1010 (2018).
  • Zou H , XiangM, YeX, XiongY, XieB, ShaoJ. Reduction of urinary uric acid excretion in patients with proteinuria. J. Chromatogr. B Analyt. Technol. Biomed. Life Sci.1006, 59–64 (2015).
  • Zheng P , GaoHC, LiQet al. Plasma metabonomics as a novel diagnostic approach for major depressive disorder. J. Proteome Res.11(3), 1741–1748 (2012).
  • Xie B , LiuA, ZhanX, YeX, WeiJ. Alteration of gut bacteria and metabolomes after glucaro-1,4-lactone treatment contributes to the prevention of hypercholesterolemia. J. Agric. Food Chem.62(30), 7444–7451 (2014).
  • Mamtimin B , XiaG, MijitMet al. Metabolic differentiation and classification of abnormal Savda Munziq's pharmacodynamic role on rat models with different diseases by nuclear magnetic resonance-based metabonomics. Pharmacogn. Res.11(44), 698–706 (2015).
  • Tong J , ZouY, JiangJet al. Cancer screening of asymptomatic individuals using 18F-FDG PET/CT in China: a retrospective study. Discov. Med.22(121), 181–188 (2016).
  • Lin CY , ChenHY, DingHJ, YenKY, KaoCH. FDG PET or PET/CT in evaluation of renal angiomyolipoma. Korean J. Radiol.14(2), 337–342 (2013).
  • Catchpole G , PlatzerA, WeikertCet al. Metabolic profiling reveals key metabolic features of renal cell carcinoma. J. Cell. Mol. Med.15(1), 109–118 (2011).
  • Falegan OS , BallMW, ShaykhutdinovRAet al. Urine and serum metabolomics analyses may distinguish between stages of renal cell carcinoma. Metabolites7(6), 1–17 (2017).
  • Ganti S , WeissRH. Urine metabolomics for kidney cancer detection and biomarker discovery. Urol. Oncol.29(5), 551–557 (2011).
  • Kim K , AronovP, ZakharkinSOet al. Urine metabolomics analysis for kidney cancer detection and biomarker discovery. Mol. Cell Proteomics8(3), 558–570 (2009).
  • Lin L , HuangZ, GaoY, YanX, XingJ, HangW. LC-MS-based serum metabonomic analysis for renal cell carcinoma diagnosis, staging, and biomarker discovery. J. Proteome Res.10(3), 1396–1405 (2011).
  • Monteiro M , MoreiraN, PintoJet al. GC-MS metabolomics-based approach for the identification of a potential VOC-biomarker panel in the urine of renal cell carcinoma patients. J. Cell. Mol. Med.21(9), 2092–2105 (2017).
  • Monteiro MS , BarrosAS, PintoJet al. Nuclear magnetic resonance metabolomics reveals an excretory metabolic signature of renal cell carcinoma. Sci. Rep.6, 37275 (2016).
  • Niziol J , BonifayV, OssolinskiKet al. Metabolomic study of human tissue and urine in clear-cell renal carcinoma by LC-HRMS and PLS-DA. Anal. Bioanal. Chem.410(16), 3859–3869 (2018).
  • Weiss RH . Metabolomics and metabolic reprogramming in kidney cancer. Semin. Nephrol.38(2), 175–182 (2018).
  • Zira AN , TheocharisSE, MitropoulosD, MigdalisV, MikrosE. (1)H NMR metabonomic analysis in renal cell carcinoma: a possible diagnostic tool. J. Proteome Res.9(8), 4038–4044 (2010).
  • Lee JH , KimYH, KimK-Het al. Profiling of serum metabolites using MALDI-TOF and Triple-TOF mass spectrometry to develop a screen for ovarian cancer. Cancer Res. Treat.50(3), 883–893 (2018).
  • Jung J , JungY, BangEJet al. Noninvasive diagnosis and evaluation of curative surgery for gastric cancer by using NMR-based metabolomic profiling. Ann. Surg. Oncol.21(Suppl. 4), S736–S742 (2014).
  • Lorenzi M , VannoniD, LeonciniR, CaldaroneR, MarinelloE. The determination of urinary oxypurines as markers of gastrointestinal tumors. Tumori.73(3), 289–294 (1987).
  • Kim K , YeoSG, YooBC. Identification of hypoxanthine and phosphoenolpyruvic acid as serum markers of chemoradiotherapy response in locally advanced rectal cancer. Cancer Res. Treat.47(1), 78–89 (2015).
  • Zheng H , JiJ, ZhaoLet al. Prediction and diagnosis of renal cell carcinoma using nuclear magnetic resonance-based serum metabolomics and self-organizing maps. Oncotarget7(37), 59189–59198 (2016).
  • Gao H , DongB, JiaJet al. Application of ex vivo (1)H NMR metabonomics to the characterization and possible detection of renal cell carcinoma metastases. J. Cancer Res. Clin. Oncol.138(5), 753–761 (2012).
  • Hanzu FA , VinaixaM, PapageorgiouAet al. Obesity rather than regional fat depots marks the metabolomic pattern of adipose tissue: an untargeted metabolomic approach. Obesity22(3), 698–704 (2014).
  • Liesenfeld DB , GrapovD, FahrmannJFet al. Metabolomics and transcriptomics identify pathway differences between visceral and subcutaneous adipose tissue in colorectal cancer patients: the ColoCare study. Am. J. Clin. Nutr.102(2), 433–443 (2015).
  • Martin HM , HancockJT, SalisburyV, HarrisonR. Role of xanthine oxidoreductase as an antimicrobial agent. Infect. Immun.72(9), 4933–4939 (2004).
  • Itahana Y , HanR, BarbierS, LeiZ, RozenS, ItahanaK. The uric acid transporter SLC2A9 is a direct target gene of the tumor suppressor p53 contributing to antioxidant defense. Oncogene34(14), 1799–1810 (2015).
  • Ruggiero C , CherubiniA, BleAet al. Uric acid and inflammatory markers. Eur. Heart J.27(10), 1174–1181 (2006).
  • Walker JB . Metabolic control of creatine biosynthesis. II. Restoration of transamidinase activity following creatine repression. J. Biol. Chem.236, 493–498 (1961).
  • Xie B , WatersMJ, SchirraHJ. Investigating potential mechanisms of obesity by metabolomics. J. Biomed. Biotechnol.2012, 805683 (2012).
  • Lew SW , BoschJP. Effect of diet on creatinine clearance and excretion in young and elderly healthy subjects and in patients with renal disease. J. Am. Soc. Nephrol.2(4), 856–865 (1991).

Reprints and Corporate Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

To request a reprint or corporate permissions for this article, please click on the relevant link below:

Academic Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

Obtain permissions instantly via Rightslink by clicking on the button below:

If you are unable to obtain permissions via Rightslink, please complete and submit this Permissions form. For more information, please visit our Permissions help page.