Supplemental Methods F-ara-A pharmacokinetic sampling and quantification The F-ara-A pharmacokinetic sampling schedules and their respective participant compliance rates are summarized in Table 2. Prior to study initiation, we had developed a Fara-A population pharmacokinetic model and identified various limited sampling schedules to estimate an individual’s F-ara-A AUC over 24 h (i.e., after one dose) using maximum a posteriori (MAP) Bayesian estimation.[1] Individual pharmacokinetic parameters were determined via MAP Bayesian estimation, where the population prior (from the population pharmacokinetic analysis) may potentially offset the loss of individual data due to the use of the limited sampling schedule. The limited sampling schedules were designed to minimize the scaled mean square error (sMSE), which represents both bias and variance, for the AUC estimated using MAP Bayesian estimation compared to the AUC estimated using full pharmacokinetic sampling (i.e., 0.5h, 0.583h (5 min after the end of the infusion), 1.5h, 4.5h, 6.5h, and 24h from the start of the 0.5h fludarabine infusion) and noncompartmental analysis. The initial sample schedule chosen had the best sMSE with the least bias and variance. On days -4, -3, and -2 relative to graft infusion, samples were collected at 0.583h, 1.5h, 6.5h and 24h from the start of the infusion. Only four of seven (57%) participants completed this F-ara-A pharmacokinetic sampling schedule. Due to the unacceptably high withdrawal rate, the sampling schedule was modified to collect samples at the same times (0.583h, 1.5h, 6.5h and 24h from the start of the 0.5h infusion) but on day -4 (i.e., the first fludarabine dose, Supplemental Figure 2) plus a sample on day -1, drawn 24h after the start of the final fludarabine dose. The participant compliance rate improved to 75% (12 of 16 completed) but further improvements in compliance were desirable. Participants explained that the primary barrier to compliance was remaining in the clinic for the 6.5h time point. Therefore, the shortest sampling schedule available with an acceptable sMSE was used for all subsequent participants. This F-ara-A pharmacokinetic sampling schedule was 0.5h, 0.583h, 1.5h, and 24h from the start of each infusion). Participant compliance with this sampling schedule was 98% (84 of 86 completed). The F-ara-A plasma concentrations were quantified using liquid chromatography-mass spectrometry (LC-MS) assay with a dynamic range from 0.067 to 2.58 mg/L and an interday coefficient of variation (CV) <10%.[2] Subsequently, the F-ara-A pharmacokinetic parameters and the AUC from each participant were calculated as empirical Bayes estimates using the POSTHOC option in the nonlinear mixed-effects modeling software NONMEM (version 7.2, Icon Development Solutions, Ellicott City, MD). Specifically, each individual’s F-ara-A concentrationtime data from the limited sampling schedule was used with the MAP Bayesian estimations from our prior F-ara-A population pharmacokinetic model derived from a separate population.[2,1] The inter-compartmental clearance (Q) and apparent volume of the peripheral compartment (V2) had to be fixed to the median values obtained previously, specifically 8.29 L/h/m2 and 43 L/m2. This was not unexpected, since 1.5h was a common inflection point on the F-ara-A concentration-time curve between the distribution and elimination. F-ara-ATP accumulation rate in T-cell subsets The F-ara-ATP accumulation rate in enriched CD4+ and CD8+ T-cell subsets was evaluated for each participant using our previously published method with minor modifications.[3] Prior to fludarabine administration, a peripheral blood sample (60 mL) was obtained, which subsequently underwent an enrichment and purification procedure for CD4+ and CD8+ cells as previously described.[3] Although this blood draw was obtained before fludarabine administration, many participants had low blood counts, most likely due to their underlying disease and previous treatments. Only 46 of the 102 (45%) participants had this sample drawn; 45 of the 46 (98%) had sufficient total cell numbers to proceed with CD4+ and CD8+ isolation. There were various logistical challenges for obtaining this sample, which largely arose from the narrow (24-48h) time window between consenting for the HCT treatment plan, which was needed to determine eligibility for this ancillary biomarker protocol, and the administration of the first fludarabine dose. This time window was too narrow to notify study staff of patient consent onto the ancillary biomarker study and to subsequently schedule the Fara-ATP blood sample concurrent with a clinic visit. In addition, CD4+ and CD8+ isolation could only be performed on weekdays, which further contributed to logistical challenges. The T-cells for estimation of F-ara-ATP accumulation rate were obtained prior to fludarabine administration. The CD4+ and CD8+ T-cells were purified using anti-CD4+ or antiCD8+ magnetic microbeads (Miltenyi Biotec Inc., Auburn, CA) and an autoMACS™ automatic magnetic cell sorter (Miltenyi Biotec Inc.) according to the manufacturer’s recommendations. Within 2h of cell isolation, the cells were incubated with fludarabine (5 μM) in RPMI 1640 media (not containing phenol red) supplemented with 10% (v/v) fetal bovine serum and 1% (v/v) antibiotic/antimycotic for 4h at 37°C in the presence of 5% CO2. This concentration is in the range of the peak fludarabine plasma concentration (average=3.86 µM) after fludarabine administration of 30 mg/m2/day. For the ex vivo incubation with fludarabine, the number of cells varied slightly based on yield from the isolation procedure. A minimum of 1.25×105 cells were needed per incubation to form adequate amounts of F-ara-ATP for accurate quantitation. The F-ara-ATP accumulation rate is linear from 1.25×105 to 2×107 cells.[3] Most incubations were conducted in at least two replicates, with the notable exception that twenty incubations (nine CD4+ and eleven CD8+) were conducted with single replicates due to low cell numbers. After incubation with fludarabine, cells were washed twice in ice-cold phosphate buffered saline, centrifuged, and solubilized in 1 M perchloric acid. Samples were frozen at -70°C prior to F-araATP quantitation. After thawing, the sample was centrifuged and the supernatant was neutralized to pH ~ 7 with 1 M potassium carbonate. F-ara-ATP was quantitated using the LC-MS method described previously, with the following modifications.[4] A Thermo Scientific (West Palm Beach, FL) Hypercarb column (2 mm x 100 mm x 5 µm) was used with a flow rate of 0.35 mL/min and a column temperature of 30°C. The mobile phase consisted of 100mM ammonium acetate pH 9.75 (A) and acetonitrile (B) with the following gradient: initial 85% A and 15% B for 0.2min, to 35% B at 1min, hold 35% B until 3.0min, then 15% B at 3.01min. Chloroadenosine triphosphate was used as an internal standard. The F-ara-ATP quantitation assay is highly sensitive and provides a limit of detection equivalent to 50 fmol F-ara-ATP. The units for all Fara-ATP accumulation rates were pmol/1×106 cells/4h. Of the 45 participants with sufficient total cell numbers to proceed with CD4+ and CD8+ isolation, the F-ara-ATP concentrations could be quantitated in CD4+ and CD8+ cells from 36 (80%) and 34 (76%) participants, respectively, with the remainder being below the limit of quantitation. Immediately after autoMACS™ isolation, a separate aliquot of the CD4+ and CD8+ cells was taken for total RNA extraction in the first subset of participants. However, insufficient yield of CD4+ and CD8+ cells resulted, because the highest priority was given to having enough cells to conduct ex vivo incubation with fludarabine to evaluate the F-ara-ATP accumulation rate. The low cell yield led to substantive variability and the mRNA levels of the various enzymes and transporters involved in converting F-ara-A to F-ara-ATP in the CD4+ and CD8+ are not available. Immediate suppression of circulating CD4+/CD+ ratio in the peripheral blood The circulating CD4+ and CD8+ counts in the peripheral blood were assessed immediately before the first fludarabine dose (day -4) and then one day after the final fludarabine dose (day -1). For the before fludarabine sample on day -4, the median time between the collection of the circulating CD4+ and CD8+ count sample and the start of the first fludarabine dose was 4 min (range: 0 – 10.0 h). Fludarabine was then administered on days 4, -3, and -2. For the after fludarabine sample on day -1, the median time between the start of the last fludarabine dose and the collection of the circulating CD4+ and CD8+ count sample was 23.8 h (range: 20.4 – 43.9 h). All CD4+ and CD8+ data were obtained before TBI and allogeneic graft infusion. The CD4+ and CD8+ cell counts were quantitated in a College of American Pathologist-certified clinical laboratory. In brief, blood (100 µL) was added to an antibody cocktail consisting of CD45 fluorescein isothiocyanate (FITC), CD4-phycoerythrin (PE), CD8 PE-TR and CD3 PE-Cy5 (Beckman-Coulter, Fullerton, CA) in a TruCount Tube (BectonDickson, San Jose, CA) to allow for absolute count enumeration. The mixture was incubated for 15 min at room temperature in the dark followed by automated red blood cell lysis (TQ-Prep, Beckman-Coulter). Six thousand T-cell events (CD3+) were acquired on a FC500 flow cytometer (Beckman-Coulter) and automated data analysis was performed using TetraOne software (Beckman-Coulter) per manufacturer’s instructions. The percent decline in CD4+ or CD8+ counts was calculated by subtracting the after fludarabine count from the before fludarabine count and dividing the result by the before fludarabine count. A 100% decline means that no cells were detectable after fludarabine administration. A negative percent decline indicates that the participant’s cell count was higher after fludarabine administration, which occurred in three of the 102 participants. Of these three participants, one, diagnosed with non-Hodgkin’s lymphoma, had increased CD4+ counts and two, diagnosed with chronic lymphocytic leukemia, had increased CD8+ counts after fludarabine administration. Supplemental Table 1. F-ara-A pharmacokinetic sampling schedule optimal for participant compliance No. No. (%) completed Cohort F-ara-A sampling schedulea consented samplingb 1 Doses 1, 2, 3 to 6.5h 7c 4 (57%) 2 Dose 1 to 6.5h 16 12 (75%) 3 Dose 1 to 1.5h; doses 2 and 3 before next dose 86d 84 (98%) a All times are relative to the start of the fludarabine infusion; a 24h sample (i.e., immediately before next dose) was obtained after each dose. Doses 1, 2, 3 administered on HCT days -4, -3, 2, respectively. bOnly compliance with F-ara-A sampling; compliance with sampling after the graft infusion is summarized in Li et al.(PMID: 24727337) cFirst two participants were ineligible because of their TBI dose and, per IRB requirements, their data were destroyed. They are included here because their withdrawals influenced the decision to change sampling schedules. d Excludes three participants whose F-ara-A sampling was missed because of delayed notification of study staff but who remained in the study for sampling after the graft infusion. Supplemental Table 2. Association of F-ara-A pharmacologic biomarkers with clinical outcomes in nonmyeloablative HCT recipients. F-ara-ATP in F-ara-ATP in Post-fludarabine Post-fludarabine Post-fludarabine CD4+ cells CD8+ cells CD4+ cell count CD8+ cell count CD4+/CD8+ ratio N 103 36 34 99 99 96 OR/HR1 OR/HR2 OR/HR1 OR/HR2 OR/HR1 OR/HR2 P P P P P P (95% CI) (95% CI) (95% CI) (95% CI) (95% CI) (95% CI) ANC nadir < 1.03 0.58 0.85 0.64 0.84 0.77 0.96 0.20 0.64 0.40 0.63 0.64 165/mm3 (0.3-3.5) (0.3-1.3) (0.4-1.7) (0.2-1.8) (0.4-1.7) (0.3-2.3) Day +28 CD3+ 2.84 0.73 1.02 0.11 0.27 0.42 0.12 0.42 0.95 0.001 0.004 0.17 chimerism ≥ 95% (0.8-10.7) (0.3-1.6) (0.5-2.0) (0.0-0.4) (0.1-0.7) (0.1-1.4) Grades 2-4 acute 1.08 1.10 1.45 0.67 1.13 0.41 0.84 0.64 0.12 0.24 0.63 0.01 GVHD (0.5-2.2) (0.7-1.6) (0.9-2.3) (0.3-1.3) (0.7-1.9) (0.2-0.8) Grades 3-4 acute 1.26 0.83 0.57 1.28 0.69 1.04 0.81 0.67 0.20 0.75 0.50 0.96 GVHD (0.2-8.2) (0.4-1.9) (0.2-1.4) (0.3-6.0) (0.2-2.0) (0.2-5.3) Chronic GVHD 0.97 0.53 0.84 0.99 0.88 1.66 0.95 0.02 0.46 0.97 0.58 0.17 (0.4-2.3) (0.3-0.9) (0.5-1.3) (0.5-2.0) (0.5-1.4) (0.8-3.4) Relapse 0.93 1.10 1.14 0.96 1.39 0.55 0.91 0.83 0.81 0.94 0.39 0.29 (0.3-3.0) (0.5-2.7) (0.4-3.4) (0.3-2.8) (0.7-2.9) (0.2-1.7) CMV reactivation 0.49 1.08 1.40 1.83 2.74 0.43 0.14 0.79 0.28 0.15 0.003 0.06 (0.2-1.3) (0.6-1.9) (0.8-2.6) (0.8-4.2) (1.4-5.4) (0.2-1.0) Non-relapse 0.46 0.94 0.87 2.64 0.87 2.23 0.21 0.85 0.56 0.10 0.70 0.19 mortality (0.1-1.5) (0.5-1.8) (0.5-1.4) (0.8-8.4) (0.4-1.8) (0.7-7.4) Overall mortality 0.74 1.15 0.92 1.65 0.90 1.69 0.55 0.63 0.71 0.25 0.72 0.26 (0.3-2.0) (0.7-2.0) (0.6-1.4) (0.7-3.9) (0.5-1.6) (0.7-4.2) 1 Neutropenia and day +28 chimerism analyzed as binary endpoints (OR), all others as time-to-event endpoint (HR). OR and HR are effects per doubling of the biomarker evaluated for F-ara-A AUC, F-ara-ATP in CD4+ and F-ara-ATP in CD8+. 2OR and HR are effects per log increase of biomarker for post fludarabine CD4+ cell count, post fludarabine CD8+ cell count and CD4+/CD8+ ratio. All analyses adjusted for Kahl risk category (low, standard, high), donor-recipient gender (female to male, other), donor (related, unrelated). Abbreviations: ANC: absolute neutrophil count; CMV: cytomegalovirus; F-ara-A: 9-β-D-arabinofuranosyl-2-fluoroadenine; F-ara-ATP: fludarabine triphosphate; GVHD: graft-versus-host disease. F-ara-A AUC References 1. Salinger DH, Blough DK, Vicini P, Anasetti C, O'Donnell PV, Sandmaier BM, McCune JS (2009) A limited sampling schedule to estimate individual pharmacokinetic parameters of fludarabine in hematopoietic cell transplant patients. Clin Cancer Res 15 (16):5280-5287. doi: 10.1158/1078-0432.CCR-09-0427 2. Bornhauser M, Storer B, Slattery JT, Appelbaum FR, Deeg HJ, Hansen J, Martin PJ, McDonald GB, Nichols WG, Radich J, Woolfrey A, Jenke A, Schleyer E, Thiede C, Ehninger G, Anasetti C (2003) Conditioning with fludarabine and targeted busulfan for transplantation of allogeneic hematopoietic stem cells. Blood 102 (3):820-826 3. Woodahl EL, Wang J, Heimfeld S, Sandmaier BM, O'Donnell PV, Phillips B, Risler L, Blough DK, McCune JS (2009) A novel phenotypic method to determine fludarabine triphosphate accumulation in T-lymphocytes from hematopoietic cell transplantation patients. Cancer Chemother Pharmacol 63 (3):391-401. Epub 2008 Apr2009 4. Kalhorn TF, Ren AG, Slattery JT, McCune JS, Wang J (2005) A highly sensitive highperformance liquid chromatography-mass spectrometry method for quantification of fludarabine triphosphate in leukemic cells. J Chromatogr B Analyt Technol Biomed Life Sci 820 (2):243-250 5. Bemer MJ, Risler LJ, Phillips BR, Wang J, Storer BE, Sandmaier BM, Duan H, Raccor BS, Boeckh MJ, McCune JS (2014) Recipient Pretransplant Inosine Monophosphate Dehydrogenase Activity in Nonmyeloablative Hematopoietic Cell Transplantation. Biol Blood Marrow Transplant. doi:10.1016/j.bbmt.2014.05.032 6. Li H, Mager DE, Sandmaier BM, Storer BE, Boeckh MJ, Bemer MJ, Phillips BR, Risler LJ, McCune JS (2014) Pharmacokinetic and pharmacodynamic analysis of inosine monophosphate dehydrogenase activity in hematopoietic cell transplantation recipients treated with mycophenolate mofetil. Biol Blood Marrow Transplant 20 (8):1121-1129. doi:10.1016/j.bbmt.2014.03.032 Figure legends Supplemental Figure 1. The schematic displays the intracellular uptake and metabolism of fludarabine to the active metabolite fludarabine triphosphate (F-ara-ATP). Abbreviations: ecto5’-nucleotidase (CD73), human equilibrative nucleoside transporter 1 (hENT1), human equilibrative nucleoside transporter 2 (hENT2), human concentrative nucleoside transporter 3 (hCNT3), deoxycytidine kinase (dCK), dephosphorylation by 5’-nucleotidase (CN-II), deoxynucleotidase-1 (dNT-1), adenylate kinase (AK), and nucleoside diphosphate kinase (NDK). Reprinted from Woodahl et al.[3] Supplemental Figure 2. Schema of sample collection Abbreviations: AUC: area under the concentration-time curve, AUEC: area under the concentrationeffect curve; CNI: calcineurin inhibitor, IMPDH: inosine monophosphate dehydrogenase, MMF: mycophenolate mofetil, MPA: mycophenolic acid. The pre-transplant IMPDH [5] and MPA AUC – IMPDH AUEC [6] results have been previously published. Supplemental Figure 3. Association of accumulated F-ara-ATP accumulation rate with F-ara-A AUC in related (white) or unrelated (grey) donor graft in CD4+ cells (A, R2=0.01) and CD8+ cells (B, R2=0.00) and association of F-ara-ATP accumulation rate in CD8+ cells to F-ara-ATP accumulation rate in CD4+ cells (C, R2=0.19)