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Dysgeusia is a common but understudied complication in patients undergoing autologous hematopoietic cell transplantation (auto-HCT). We assessed the feasibility of using chemical gustometry (CG) to measure dysgeusia and explored its associations with symptom burden, nutrition, chemotherapy pharmacokinetics (PK), and the oral microbiome.We conducted a single-center, prospective feasibility study (NCT03276481) of patients with multiple myeloma undergoing auto-HCT. CG was performed longitudinally testing five flavors (sweet, sour, salty, bitter, umami) to calculate a total taste score (maximum score, 30). We measured caloric intake and patient-reported symptoms, assessing their correlation with oral microbiota composition and salivary and blood melphalan PK exposure.Among all 45 patients, 39 (87%) completed at least four (60%) and 22 (49%) completed all six CG assessments. Median total CG scores remained stable over time but were lowest at day +7 (27, range 24-30) with recovery by day +100. Symptom burden was highest by day +10 (area under the curve, 2.9; range, 1.0-4.6) corresponding with the lowest median overall caloric intake (1624 kcal; range, 1345-2267). Higher serum/salivary melphalan levels correlated with higher patient-reported dysgeusia and lower caloric intake. Oral microbiota α-diversity was stable early and increased slightly by day +100.Assessment of dysgeusia by CG is feasible after auto-HCT. Most dysgeusia, symptom burden, and lowest caloric intake occurred during the blood count nadir. Higher melphalan concentrations correlated with more dysgeusia and poorer caloric intake. Future studies will aim to modulate melphalan exposure by PK-targeted dosing and characterize patient taste preferences to personalize diets for improved nutritional intake.Taste changes after cancer treatments are very common. We used chemical gustometry (taste testing) to study taste changes and to better understand why patients with multiple myeloma experience this symptom after autologous hematopoietic cell transplantation. We found that taste testing was feasible, taste changes peaked when blood counts were lowest, and most patients recovered their taste by 100 days after transplantation. Taste changes correlated with lower food intake and with higher levels of chemotherapy in the body. Future work will focus on using personalized chemotherapy doses to reduce taste changes and to match patients' individual taste preferences with their diets.

Dysgeusia is a frequently encountered symptom for patients after hematopoietic cell transplantation that has important long-term effects on physical, nutritional, and immunologic recovery as well as quality of life. Despite the relevance of this symptom, there has been limited study of dysgeusia in patients undergoing hematopoietic cell transplantation, in part due to its complexity. In this article, we review normal taste function and its clinical evaluation, discuss how dysgeusia uniquely affects patients undergoing hematopoietic cell transplantation, and examine distinct, transplantation-related contributors to dysgeusia that may help elucidate strategies to ultimately reduce this symptom burden after transplantation.

Background Intestinal microbiome disruption is a risk factor for poor outcomes after allogeneic hematopoietic cell transplantation (allo-HCT), but the factors that contribute to microbiome injury are not well understood. We hypothesized that nutrition contributes to microbiome composition during allo-HCT. Methods Along with 16S profiling of collected fecal samples, we monitored daily inpatient nutritional intake using a customized real-time survey instrument. Data were quality-controlled by a dietitian and matched to the Food and Nutrient Database for Dietary Studies (FNDDS). Results 97 adult patients received conditioning regimens that were 68% ablative, 22% reduced, and 10% nonmyeloablative; 35% patients had acute myeloid leukemia and 35% had myelodysplastic/myeloproliferative neoplasms, while 10% had non-Hodgkin's lymphoma. Grafts were T-cell depleted in 49% and cord blood in 7%. The remaining had unmodified bone marrow or peripheral blood stem cell. 5 patients had enteral nutrition during the treatment. 22,614 food entries from 5,230 meals were collected during inpatient admissions. Among 800 sequenced stool samples, 329 were collected following exposure to an empiric antibiotic. The hierarchical organization of the FNDDS vocabulary facilitated application of alpha and beta diversities to diet data, as well as analysis of food items (e.g., chicken), which have been reported to more closely associate with microbiome composition than macronutrients (e.g., fat). Nutritional diversity declined from admission until day 3 (A). Clusters of dietary patterns were revealed by ordination with unweighted UniFrac distance applied, in which highly diverse diets clustered together (B). We observed a correlation between total calories consumed and fecal alpha diversity (r = 0.23, P < 0.001) and the relative fecal abundance of the genus Blautia (r = 0.31, P < 0.001), which we have previously associated with protection from lethal graft versus host disease (GVHD). In contrast, calorie intake was inversely associated with the fecal relative abundance of genus Enterococcus (r = -0.15, P < 0.001), a genus we have reported exacerbates GVHD. Similar associations with microbiome features were observed for fiber. To gain insight into which types of foods are associated with microbiome injury, we constructed a Bayesian multilevel model to evaluate relationships between microbiota diversity and the amount consumed of different food groups in the two days preceding each stool sample. This model controlled for conditioning intensity, exposure to empiric antibiotics, enteral nutrition, and total parenteral nutrition. Empiric antibiotics refer to the ones for neutropenic fever such as piperacillin/tazobactam, carbapenems, cefepime, linezolid and for C. difficile such as oral vancomycin, and metronidazole. A random intercept term per patient to accommodate repeated measurements from the same patient and a random intercept term for each week relative to HCT were incorporated in the model. Intake of sugars, sweets and beverages was associated with low fecal microbiota alpha diversity (C). The model predicts that, on average, consumption of 100g sugars and sweets over two days would result in a biologically meaningful decline of diversity by 1.13-fold in inverse Simpson units. Interestingly, fruits, a food type enriched in simple sugars, trended toward associations with lower diversity as well. Conclusion Consumption of sugars and sweets is associated with lower fecal microbiota alpha diversity in allo-HCT. We hypothesize that initial insults to diverse microbial communities are exacerbated by simple sugars, which can be exploited by the remaining organisms as readily available nutrients. These results highlight the importance of developing evidence-based nutritional recommendations in allo-HCT. Figure 1 Figure 1. Disclosures Adintori: Vidafuel Inc.: Current holder of stock options in a privately-held company. Buchan: Savor Health: Current Employment. Gomes: Xbiome: Current Employment. Johnson: Diversigen: Consultancy. Knights: Diversigen: Consultancy. Jenq: Microbiome DX: Consultancy; Merck: Consultancy; Prolacta: Consultancy, Membership on an entity's Board of Directors or advisory committees; Kaleido: Consultancy, Current holder of stock options in a privately-held company, Membership on an entity's Board of Directors or advisory committees, Research Funding; Seres: Consultancy, Current holder of stock options in a privately-held company, Membership on an entity's Board of Directors or advisory committees, Patents & Royalties, Research Funding; LisCure: Consultancy, Membership on an entity's Board of Directors or advisory committees; MaaT Pharma: Consultancy, Membership on an entity's Board of Directors or advisory committees; Karius: Consultancy. Giralt: GSK: Membership on an entity's Board of Directors or advisory committees; PFIZER: Membership on an entity's Board of Directors or advisory committees; SANOFI: Membership on an entity's Board of Directors or advisory committees; JAZZ: Membership on an entity's Board of Directors or advisory committees; AMGEN: Membership on an entity's Board of Directors or advisory committees; JENSENN: Membership on an entity's Board of Directors or advisory committees; BMS: Membership on an entity's Board of Directors or advisory committees; CELGENE: Membership on an entity's Board of Directors or advisory committees; Actinnum: Membership on an entity's Board of Directors or advisory committees. Perales: NexImmune: Honoraria; Servier: Honoraria; MorphoSys: Honoraria; Novartis: Honoraria, Other; Nektar Therapeutics: Honoraria, Other; Miltenyi Biotec: Honoraria, Other; Merck: Honoraria; Medigene: Honoraria; Takeda: Honoraria; Sellas Life Sciences: Honoraria; Kite/Gilead: Honoraria, Other; Karyopharm: Honoraria; Incyte: Honoraria, Other; Equilium: Honoraria; Cidara: Honoraria; Celgene: Honoraria; Bristol-Myers Squibb: Honoraria; Omeros: Honoraria. van den Brink: Priothera: Research Funding; Da Volterra: Other: has consulted, received honorarium from or participated in advisory boards; Jazz Pharmaceuticals: Honoraria; Pharmacyclics: Other; Seres: Other: Honorarium, Intellectual Property Rights, Research Fundingand Stock Options; Wolters Kluwer: Patents & Royalties; Pluto Therapeutics: Current holder of stock options in a privately-held company, Other: has consulted, received honorarium from or participated in advisory boards ; Amgen: Honoraria; Frazier Healthcare Partners: Honoraria; Forty-Seven, Inc.: Honoraria; Notch Therapeutics: Honoraria; Nektar Therapeutics: Honoraria; GlaskoSmithKline: Other: has consulted, received honorarium from or participated in advisory boards; Kite Pharmaceuticals: Other; Novartis (Spouse): Other: has consulted, received honorarium from or participated in advisory boards; Juno Therapeutics: Other; MagentaTherapeutics: Honoraria; Ceramedix: Other: has consulted, received honorarium from or participated in advisory boards ; Rheos: Honoraria; DKMS (nonprofit): Other; Therakos: Honoraria; Merck & Co, Inc: Honoraria; Synthekine (Spouse): Other: has consulted, received honorarium from or participated in advisory boards; Lygenesis: Other: has consulted, received honorarium from or participated in advisory boards ; WindMILTherapeutics: Honoraria. Schluter: Postbiotics Plus LLC: Other: cofounder. Peled: MaaT Pharma: Consultancy; CSL Behring: Consultancy; DaVolterra: Consultancy; Seres Therapeutics: Research Funding.

Introduction Dysgeusia commonly influences nutritional intake and quality of life after HCT, yet its pathobiology is poorly understood and methods to study it are not established. We report interim results of a prospective feasibility study of chemical gustometry (CG) to measure dysgeusia in pts with multiple myeloma (MM) undergoing high-dose melphalan and autologous HCT (mel-AHCT). We evaluated associations between dysgeusia and symptoms, nutrition, mel pharmacokinetics (PK), and oral microbiota composition. We hypothesized that mel penetration into saliva contributes to dysgeusia. Methods CG was performed by the Henkin method pre-AHCT and on days (d) -1, +7, +14, +30 testing 5 flavors (sweet, sour, salty, bitter, umami) to calculate a total taste score (max value 30). CG was considered feasible if > 60% of pts could complete > 60% of all evaluations. Caloric intake (kcal) was calculated with 24-hr recall using the USDA 5-Step Multiple-Pass Method, and pt-reported symptoms were assessed using the MD Anderson Symptom Inventory (MDASI) at the above times and on d +3 and +10. Salivary microbiome diversity was assessed longitudinally by 16S sequencing and the inverse Simpson index. 6-point serum mel concentrations were used to calculate an area under the curve (AUC) and peak salivary mel was obtained 75 min post-infusion. Spearman rank-sum correlation was used to assess associations. Results 22 mel-AHCT MM pts have follow-up through d +30. 18 pts (82%) completed > 60% of all assessments. Median age was 62 (range 41-75). 11 pts (50%) were male. Mel 200 mg/m2 and 140 mg/m2 was given in 19 (86%) and 3 (14%) pts, respectively. Median serum mel AUC was 12.6 mg*h/L (range 5.8-17.5); median salivary mel was 119 ng/ml (range 25-662). Higher serum mel AUC correlated with higher salivary mel levels, p=0.004, and associated with poorer caloric intake from pre-ASCT to d +30, p=0.04. Higher serum mel AUC associated with higher MDASI scores (worse symptom burden) from pre-AHCT to d +30, p=0.005, but not with taste scores. Higher salivary mel associated with poorer caloric intake from pre-AHCT to d +30, p=0.02. MDASI scores peaked d +10, coincident with nadirs in taste scores and caloric intake on d +7 and +10, respectively. Taste scores partially recovered by d +30, but often did not return to baseline (Fig 1A-C). Oral microbiota diversity was stable early after AHCT but increased by d+100. D+7 diversity did not correlate with serum mel AUC, p=0.4, or salivary mel, p=0.84 (Fig 2A-C). Conclusion CG is a feasible method to evaluate dysgeusia after AHCT. Dysgeusia peaked by d +7 and often persisted through d +30. Oral microbiota diversity was stable early after AHCT. Higher serum and salivary mel levels did not correlate with microbiota diversity but were associated with poorer caloric intake and higher MDASI scores suggesting that using targeted mel PK dosing may improve caloric intake and limit symptom burden after AHCT.

Knowledge of nutrition among breast cancer patients is insufficient, despite their motivation to seek valid information about healthy food choices. This study examines the feasibility of nutrition education workshops for cancer survivors, to inform the design of a multi-center intervention. Fifty-nine female English-speaking breast cancer patients, who had completed treatment, were enrolled. Participants were randomized to the intervention or control group. The intervention group attended six nutrition education sessions, and the control group received brochures. Measurements were done at baseline and 3-month follow-up and included the Assessment Instrument for Breast Cancer (NLit-BCa), fruit/vegetable and general health literacy screeners. Height and weight were measured. Changes in nutrition literacy, health literacy, and food intake from baseline to follow-up (within-group change) were calculated for both groups (effect sizes were reported as Cohen’s d). Participants were mostly white, with a mean age of 58 years, BMI of 31.6 kg/m2, and had college degrees. Follow-up rates were high (89% = control and 77% = intervention group). At baseline, participants scored high for most NLit-BCa assessment components except food portions in both groups. At the 3-month follow-up, effect sizes (d) on the NLit-BCa ranged from −0.5 to 0.16. The study met its recruitment goals within 6 months. Focus groups indicated that (a) attending six sessions was acceptable, (b) patients found social/emotional support, (c) improvements should include information for special diets and booster sessions. This pilot study suggests that the intervention was acceptable and that scaling up of this intervention is feasible and could provide benefit to breast cancer survivors.

The intestinal microbiota undergoes major perturbations during allogeneic hematopoietic stem cell transplantation (allo-HCT), and low microbiota diversity during this period is associated with an increased risk of graft-versus-host disease and mortality. Identifying the environmental variables that might impact intestinal microbiota could inform strategies to maintain and restore a healthy microbiota state. However, understanding microbial dynamics is challenging due to the high-dimensional nature of microbiota data. Here, we simplified complex microbiota communities into clusters and investigated the dynamics under different conditions in terms of transition probabilities in a large dataset of allo-HCT fecal specimens (Fig. a). The bacterial compositions of 7,930 samples from 1,076 allo-HCT patients were determined by 16S rRNA deep-sequencing. Samples were then clustered into 10 distinct states by k-means clustering of a Bray-Curtis β-diversity matrix (Fig. b). These clusters captured variations in diversity and microbiota compositions (Fig. c-d). Cluster 1 represented a high-diversity state, and Lachnospiraceae and other Clostridiales were the most commonly observed taxa in this cluster. The low-diversity clusters 9 and 10 consisted mostly of Streptococcus-dominated and Enterococcus-dominated samples, respectively. We utilized a regression-based predictive approach to model cluster transition probabilities in terms of a weight for remaining in the same cluster over time (self-weight) and a weight for attracting transitions from other clusters over time (attractor-weight). Controlling for the effect of time, the weights measured the contribution of different environmental exposures to intestinal microbial behaviors. A negative parameter coefficient indicates cluster destabilization or decreased cluster transition likelihood in the case of self-weights and attractor-weights, respectively. We evaluated the impact of the 3 most commonly used non-prophylactic antibacterial drugs using 2359 daily samples from 385 allo-HCT patients collected between day -14 to 7 relative to transplant. High-diversity cluster 1 was significantly destabilized by piperacillin-tazobactam (pip-tazo) exposure (β = -0.87, P < 0.05). Meanwhile, exposure to cefepime and meropenem did not have a significant effect on cluster 1 stability (Fig. e). Exposure to pip-tazo also increased the transition probability to the Streptococcus-dominated cluster 9 (β = 1.83, P < 0.001), while cefepime (β = 2.69, P < 0.05) and meropenem (β = 1.96, P < 0.01) exposure favored transitions to the Enterococcus-dominant cluster 10. These results suggest that antibiotic exposures are associated with different composition outcomes depending on patient microbiota states during transplant period. In a small subset of 242 daily samples from 46 allo-HCT patients with detailed daily dietary information, we observed that an increase in total protein intake (range = 0-137.4g; median = 36g) was associated with low self-maintenance of cluster 1 (β = -1.29, P < 0.05), while an increase in total fat intake (range = 0-183.3g; median = 34.5g) improved cluster 1 stability (β = 1.44, P < 0.05). Overall, dietary intakes could also modulate transition probabilities between microbial communities in allo-HCT patients. While prior studies have assessed specific bacterial taxa or diversity indices as biomarkers of clinical outcomes, here we considered the entire intestinal communities and demonstrated that various environmental exposures were associated with changes in microbiota composition during allo-HCT. Using a regression-based approach that predicts cluster transitions in response to environmental conditions, we found that pip-tazo exposure was associated with destabilization of a high-diversity state and increased transitions to a Streptococcus-dominated state, while cefepime and meropenem exposure did not disrupt high-diversity microbial community. Furthermore, increased protein intake was also associated with disruption to the high-diversity cluster, while increased fat intake strengthened the maintenance of a diverse and healthy microbial community. Ultimately, this computation framework aims to inform strategies to optimize treatment plans for allo-HCT patients to maximize a healthy gut microbiota state and clinical outcomes. Disclosures Gomes: Seres Therapeutics: Other: Part of Salary. Peled:Seres Therapeutics: Research Funding. Slingerland:Seres Therapeutics: Other: Salary supported by Seres funding. Clurman:Seres Therapeutics: Research Funding. Giralt:Celgene: Consultancy, Research Funding; Takeda: Consultancy; Sanofi: Consultancy, Research Funding; Amgen: Consultancy, Research Funding. Perales:Bristol-Meyers Squibb: Honoraria, Membership on an entity's Board of Directors or advisory committees; Abbvie: Honoraria, Membership on an entity's Board of Directors or advisory committees; Bellicum: Honoraria, Membership on an entity's Board of Directors or advisory committees; NexImmune: Membership on an entity's Board of Directors or advisory committees; Incyte: Honoraria, Membership on an entity's Board of Directors or advisory committees, Research Funding; Nektar Therapeutics: Honoraria, Membership on an entity's Board of Directors or advisory committees; Novartis: Honoraria, Membership on an entity's Board of Directors or advisory committees; Omeros: Honoraria, Membership on an entity's Board of Directors or advisory committees; Takeda: Honoraria, Membership on an entity's Board of Directors or advisory committees; Merck: Consultancy, Honoraria; Medigene: Membership on an entity's Board of Directors or advisory committees; Servier: Membership on an entity's Board of Directors or advisory committees; Kyte/Gilead: Research Funding; Miltenyi: Research Funding; MolMed: Membership on an entity's Board of Directors or advisory committees. Pamer:MedImmune: Honoraria; Seres Therapeutics: Honoraria, Patents & Royalties; Bristol Myers Squibb: Honoraria; Novartis: Honoraria; Celgene: Honoraria; Ferring Pharmaceuticals: Honoraria. van den Brink:Acute Leukemia Forum (ALF): Consultancy, Honoraria; Seres Therapeutics: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees, Research Funding; Flagship Ventures: Consultancy, Honoraria; Novartis: Consultancy, Honoraria; Evelo: Consultancy, Honoraria; Jazz Pharmaceuticals: Consultancy, Honoraria; Therakos: Consultancy, Honoraria; Amgen: Consultancy, Honoraria; Merck & Co, Inc.: Consultancy, Honoraria; Juno Therapeutics: Other: Licensing; Magenta and DKMS Medical Council: Membership on an entity's Board of Directors or advisory committees.

Background: Taste disturbance, or dysgeusia, negatively affects quality of life and may lead to poorer nutritional status after high-dose melphalan and autologous stem cell transplantation (mel-AHCT) for patients with multiple myeloma (MM). Despite its frequency, dysgeusia has received limited prospective study. Here, we report the interim results of an on-going prospective clinical trial aimed at evaluating the feasibility of performing chemical gustometry, and quantifying the effects of dysgeusia on patient-reported symptom burden and nutritional status in MM patients undergoing mel-ASCT. We also sought to identify novel associations between mel serum and salivary pharmacokinetic (PK) levels and dysgeusia. Methods: For this study, chemical gustometry was considered feasible for use as an endpoint in a future clinical trial if > 60% of the patients could complete > 60% of the evaluations. Chemical gustometry was performed according to the Henkin method (Henkin et al., Am J Otolaryngol 2013) at baseline (pre-AHCT) and on days -1, +7, +14, and +30 to test the 5 basic flavors: sweet (sucrose), sour (citric acid), salty (sodium chloride), bitter (quinine), and umami (monosodium glutamate). These data were used to calculate a total gustometry score (maximum value of 30). At the above time-points as well as day +3 and +10, caloric intake (kcal) was calculated using the USDA 5-Step Multiple-Pass Approach with 24-hour recall, and patient-reported symptom burden was assessed using the MD Anderson Symptom Inventory-Myeloma Module (MDASI-MM). Serum PK levels were drawn at 6 times points after mel infusion to calculate an area under the curve (AUC). Spearman rank-sum correlation was calculated for serum mel AUC and its association with total gustometry scores, caloric intake, and MDASI scores over time using a scaled 30-day AUC. A peak salivary mel level was measured at 75 minutes after infusion, and correlated with total gustometry scores, caloric intake, and MDASI scores. Results: To date, 22 patients with MM undergoing mel-AHCT have been enrolled and have follow-up data through day +30. Eighteen patients (82%) completed > 60% of all assessments. Median age was 62 (41-75), and 11 (50%) were female. Nineteen (86%) patients received mel 200 mg/m2 and 3 (14%) received mel 140 mg/m2. Median serum mel AUC was 12.6 mg*h/L (range 5.8-17.5), and median salivary mel was 119 ng/ml (range 25-662). Higher serum mel AUC correlated with higher salivary mel levels [Spearman correlation 0.59, p=0.004] as shown in Figure 1. Higher serum mel AUC was associated with poorer caloric intake from pre-ASCT to day +30 [Spearman correlation -0.45, p=0.04] as shown in Figure 2. Higher serum melphalan AUC was also associated with higher total MDASI scores (worse symptom burden) from pre-ASCT to day +30 [Spearman correlation 0.57, p=0.005], but was not significantly associated with total gustometry scores. A higher peak salivary mel level was associated poorer caloric intake from pre-ASCT to day +30 [Spearman correlation -0.49, p=0.02]. Among all patients, MDASI scores appeared highest on day +10, and total gustometry scores and caloric intake appeared lowest on days +7 and +10, respectively. At days +7, +14, and +30, 9 of 16 patients (56%), 8 of 17 patients (47%), and 9 of 19 (47%) had a drop of at least 1 point in gustometry score compared to baseline, respectively. Overall, gustometry scores appeared to improve by day +30, but often did not return to baseline (Figure 3A-C). Conclusion: Chemical gustometry is feasible and comprehensively evaluates changes in taste function in MM patients after AHCT. The lowest gustometry scores were apparent on day +7 and often did not return to baseline by day +30, confirming the persistence of dysgeusia after AHCT. Moreover, higher serum and salivary mel levels are associated with poorer caloric intake and higher symptom burden scores within the first 30 days after AHCT. Preventing mel overexposure by targeted mel PK dosing may reduce dysgeusia, improve caloric intake, and limit symptom burden in MM patients after AHCT. Disclosures Shah: Janssen: Research Funding; Amgen: Research Funding. Peled:Seres Therapeutics: Research Funding.

Introduction The composition of the intestinal microbiota is associated with important outcomes after allo-HSCT including survival, relapse, GVHD, and infections. The microbial composition changes drastically after allo-HSCT, with precipitous drops in α-diversity and domination by single organisms. Low diversity is particularly associated with poor overall survival from transplant-related mortality, including death after GVHD. These observations were all made in single-center cohorts. Here we compare-for the first time-the kinetics of microbiota diversity in allo-HSCT patients from three independent international institutions. We also explore the role of nutrition as well as antibiotics in a single-center pilot study and the recovery from microbiota injury after discharge. Methods We collected stool samples approximately weekly from adult allo-HSCT inpatients and approximately monthly post-discharge. Samples from all three centers were sequenced at MSKCC using the V4-V5 region of 16S rRNA. In the nutrition cohort, patients self-documented oral intake at each meal; data were confirmed in focused patient interviews by a registered dietician three times weekly and nutritional compositions were obtained from the hospital kitchen database. Oral swish samples were collected prior to allo-HSCT and during post-transplant neutropenia. Results 5,823 samples from 1,118 patients were compared: 5,508 samples from 947 MSKCC patients, 108 samples from 40 Duke patients, and 152 samples from 109 Regensburg, Germany patients. The patients-all adult recipients of allo-HSCT -varied in underlying diagnosis, donor-graft sources, conditioning intensity, and GVHD prophylaxis. We mapped the microbiota composition of each sample in 2-D space using t-Distributed Stochastic Neighbor Embedding (t-SNE). Samples from all three centers spread throughout t-SNE space, revealing no transplant-center-specific effect (Fig 1A). Enterococcus domination, a low-diversity state we previously associated with subsequent enterococcal bacteremia was observed in all three centers (Fig 1A). Diversity decreased comparably after allo-HSCT transplant at all centers (Fig 1B), validating our prior findings in this larger, international multicenter cohort. In a separate cohort of MSKCC patients, we explored the relative contributions of antibiotics and nutritional intake using a multivariate linear regression model of α-diversity dynamics. Exposure to piperacillin-tazobactam (pip-tazo), a drug with broad-spectrum antibacterial activity, and calorie intake were significant predictors (p Conclusion We determine that striking microbiota injuries after allo-HSCT occur generally across geographic regions. Nutritional perturbations and antibiotic exposure are both associated with microbiota injury, and recovery from the injured state occurs over several months post-discharge. Importantly, diversity at the time of neutrophil engraftment is associated reproducibly with overall survival. Disclosures Peled: Seres: Research Funding. Sung: Merck: Research Funding; Novartis: Research Funding; Cellective: Research Funding. Jenq: Seres: Research Funding. van den Brink: Jazz Pharmaceuticals: Consultancy; Seres: Research Funding; PureTech Health: Consultancy; Therakos Institute: Other: Speaking engagement.