Prediction of Excretion and Toxicity of High Dose Methotrexate in Children and Adolescents With ALL
Summary
Each year approximately 2,900 children and adolescents less than 20 years old are diagnosed with acute lymphoblastic leukemia or acute lymphoblastic lymphoma in the United States. (For the purposes of this protocol, ALL will be used to refer to patients with either acute lymphoblastic leukemia or acute lymphoblastic lymphoma as patients are treated in the same manner.) High-dose methotrexate (HDMTX; 5 g/m2) remains an important component of standard treatment for most ALL patients. However, high plasma and intracellular MTX concentrations (defined as a MTX level of \>1 µmol/L at 42 hours and \> 0.40 µmol/L at 48 hours) can quickly lead to acute kidney, bone marrow, liver, skin, central nervous system, and gastrointestinal toxicities requiring extended hospitalization and delays in subsequent chemotherapy treatments. This study seeks to identify more sensitive markers of kidney injury that could serve as better predictors of delayed excretion and/or toxicity of HDMTX. This study is a pilot repeated-measures feasibility study. Hypothesis 1: Directly measured GFR (mGFR, a type of test to measure the filtering rate of kidneys) by iohexol clearance obtained prior to HDMTX will demonstrate greater sensitivity and specificity for prediction of delayed MTX excretion and/or toxicity in children and adolescents with ALL than serum creatinine (sCr) alone or sCr used for eGFR calculation. If this study proves that mGFR is a better predictor of delayed MTX excretion and/or toxicity, then another study will be developed in the future to determine if modifying the HDMTX dose or adjusting supportive care based on mGFR will prevent delayed clearance and toxicity without impacting patient survival. Hypothesis 2: Those participants prospectively demonstrating delayed MTX excretion or toxicity will exhibit elevation of kidney injury biomarkers less than 24 hours following initiation of HDMTX infusion compared to pre-chemotherapy measurements. These biomarkers will increase prior to a measurable sCr elevation.
Timeline
- Start
- 2014-07-24
- Primary completion
- 2019-02-26
- Completion
- 2019-02-27
Publications
- Background Nguyen MT, Devarajan P. Biomarkers for the early detection of acute kidney injury. Pediatr Nephrol. 2008 Dec;23(12):2151-7. doi: 10.1007/s00467-007-0470-x. Epub 2007 Mar 30.
- Background Schwartz GJ, Munoz A, Schneider MF, Mak RH, Kaskel F, Warady BA, Furth SL. New equations to estimate GFR in children with CKD. J Am Soc Nephrol. 2009 Mar;20(3):629-37. doi: 10.1681/ASN.2008030287. Epub 2009 Jan 21.
- Background Berg UB, Back R, Celsi G, Halling SE, Homberg I, Krmar RT, Monemi KA, Oborn H, Herthelius M. Comparison of plasma clearance of iohexol and urinary clearance of inulin for measurement of GFR in children. Am J Kidney Dis. 2011 Jan;57(1):55-61. doi: 10.1053/j.ajkd.2010.07.013. Epub 2010 Sep 25.
- Background Back SE, Krutzen E, Nilsson-Ehle P. Contrast media as markers for glomerular filtration: a pharmacokinetic comparison of four agents. Scand J Clin Lab Invest. 1988 May;48(3):247-53. doi: 10.3109/00365518809167491.
- Background Krutzen E, Back SE, Nilsson-Ehle P. Determination of glomerular filtration rate using iohexol clearance and capillary sampling. Scand J Clin Lab Invest. 1990 May;50(3):279-83. doi: 10.3109/00365519009091579.
- Background Gaspari F, Perico N, Ruggenenti P, Mosconi L, Amuchastegui CS, Guerini E, Daina E, Remuzzi G. Plasma clearance of nonradioactive iohexol as a measure of glomerular filtration rate. J Am Soc Nephrol. 1995 Aug;6(2):257-63. doi: 10.1681/ASN.V62257.
- Background Stake G, Monn E, Rootwelt K, Monclair T. The clearance of iohexol as a measure of the glomerular filtration rate in children with chronic renal failure. Scand J Clin Lab Invest. 1991 Dec;51(8):729-34. doi: 10.3109/00365519109104587.
- Background Holmquist P, Torffvit O, Sjoblad S. Metabolic status in diabetes mellitus affects markers for glomerular filtration rate. Pediatr Nephrol. 2003 Jun;18(6):536-40. doi: 10.1007/s00467-003-1086-4. Epub 2003 Apr 16.
- Background Adiyanti SS, Loho T. Acute Kidney Injury (AKI) biomarker. Acta Med Indones. 2012 Jul;44(3):246-55.
- Background Han WK, Bailly V, Abichandani R, Thadhani R, Bonventre JV. Kidney Injury Molecule-1 (KIM-1): a novel biomarker for human renal proximal tubule injury. Kidney Int. 2002 Jul;62(1):237-44. doi: 10.1046/j.1523-1755.2002.00433.x.
- Background Wunnapuk K, Liu X, Peake P, Gobe G, Endre Z, Grice JE, Roberts MS, Buckley NA. Renal biomarkers predict nephrotoxicity after paraquat. Toxicol Lett. 2013 Oct 9;222(3):280-8. doi: 10.1016/j.toxlet.2013.08.003. Epub 2013 Aug 14.
- Background Dieterle F, Perentes E, Cordier A, Roth DR, Verdes P, Grenet O, Pantano S, Moulin P, Wahl D, Mahl A, End P, Staedtler F, Legay F, Carl K, Laurie D, Chibout SD, Vonderscher J, Maurer G. Urinary clusterin, cystatin C, beta2-microglobulin and total protein as markers to detect drug-induced kidney injury. Nat Biotechnol. 2010 May;28(5):463-9. doi: 10.1038/nbt.1622.
- Background Herget-Rosenthal S, Marggraf G, Husing J, Goring F, Pietruck F, Janssen O, Philipp T, Kribben A. Early detection of acute renal failure by serum cystatin C. Kidney Int. 2004 Sep;66(3):1115-22. doi: 10.1111/j.1523-1755.2004.00861.x.
- Background Christov M, Waikar SS, Pereira RC, Havasi A, Leaf DE, Goltzman D, Pajevic PD, Wolf M, Juppner H. Plasma FGF23 levels increase rapidly after acute kidney injury. Kidney Int. 2013 Oct;84(4):776-85. doi: 10.1038/ki.2013.150. Epub 2013 May 8.
- Background Leaf DE, Wolf M, Waikar SS, Chase H, Christov M, Cremers S, Stern L. FGF-23 levels in patients with AKI and risk of adverse outcomes. Clin J Am Soc Nephrol. 2012 Aug;7(8):1217-23. doi: 10.2215/CJN.00550112. Epub 2012 Jun 14.
Drugs
| Evaluation | Drug | Modality | Dose | Route |
|---|---|---|---|---|
| Subject | Iohexol | Diagnostic / imaging agent | 5 ml | — |
Indications
No indication recorded.