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Following allogeneic hematopoietic cell transplantation (allo-HCT), the gastrointestinal (GI) tract is frequently affected by acute graft-versus-host disease (aGVHD), the pathophysiology of which is associated with a dysbiotic microbiome. Since microbial composition varies along the length of the GI tract, the authors hypothesized that microbiome features correlate with the pattern of organ involvement after allo-HCT. We evaluated 266 allo-HCT recipients from whom 1303 stool samples were profiled by 16S ribosomal gene sequencing. Patients were classified according to which organs were affected by aGVHD. In the 20 days prior to disease onset, GVHD patients had lower abundances of members of the class Clostridia, lower counts of butyrate producers, and lower ratios of strict-to-facultative (S/F) anaerobic bacteria compared with allograft recipients who were free of GVHD. GI GVHD patients showed significant reduction in microbial diversity preonset. Patients with lower GI aGVHD had lower S/F anaerobe ratios compared with those with isolated upper GI aGVHD. In the 20 days after disease onset, dysbiosis was observed only in GVHD patients with GI involvement, particularly those with lower-tract disease. Importantly, Clostridial and butyrate-producer abundance as well as S/F anaerobe ratio were predictors of longer overall survival; higher abundance of butyrate producers and higher S/F anaerobe ratio were associated with decreased risk of GVHD-related death. These findings suggest that the intestinal microbiome can serve as a biomarker for outcomes of allo-HCT patients with GVHD.

We previously described clinically relevant reductions in fecal microbiota diversity in patients undergoing allogeneic hematopoietic cell transplantation (allo-HCT). Recipients of high-dose chemotherapy and autologous HCT (auto-HCT) incur similar antibiotic exposures and nutritional alterations. To characterize the fecal microbiota in the auto-HCT population, we analyzed 1161 fecal samples collected from 534 adult recipients of auto-HCT for lymphoma, myeloma, and amyloidosis in an observational study conducted at 2 transplantation centers in the United States. By using 16S ribosomal gene sequencing, we assessed fecal microbiota composition and diversity, as measured by the inverse Simpson index. At both centers, the diversity of early pretransplant fecal microbiota was lower in patients than in healthy controls and decreased further during the course of transplantation. Loss of diversity and domination by specific bacterial taxa occurred during auto-HCT in patterns similar to those with allo-HCT. Above-median fecal intestinal diversity in the periengraftment period was associated with decreased risk of death or progression (progression-free survival hazard ratio, 0.46; 95% confidence interval, 0.26-0.82; P = .008), adjusting for disease and disease status. This suggests that further investigation into the health of the intestinal microbiota in auto-HCT patients and posttransplant outcomes should be undertaken.

Microbial diversity is associated with improved outcomes in recipients of allogeneic hematopoietic cell transplantation (allo-HCT), but the mechanism underlying this observation is unclear. In a cohort of 174 patients who underwent allo-HCT, we demonstrate that a diverse intestinal microbiome early after allo-HCT is associated with an increased number of innate-like mucosal-associated invariant T (MAIT) cells, which are in turn associated with improved overall survival and less acute graft-versus-host disease (aGVHD). Immune profiling of conventional and unconventional immune cell subsets revealed that the prevalence of Vδ2 cells, the major circulating subpopulation of γδ T cells, closely correlated with the frequency of MAIT cells and was associated with less aGVHD. Analysis of these populations using both single-cell transcriptomics and flow cytometry suggested a shift toward activated phenotypes and a gain of cytotoxic and effector functions after transplantation. A diverse intestinal microbiome with the capacity to produce activating ligands for MAIT and Vδ2 cells appeared to be necessary for the maintenance of these populations after allo-HCT. These data suggest an immunological link between intestinal microbial diversity, microbe-derived ligands, and maintenance of unconventional T cells.

Low intestinal microbial diversity is associated with poor outcomes after allogeneic hematopoietic cell transplantation (HCT). Using 16S rRNA sequencing of 2067 stool samples and flow cytometry data from 2370 peripheral blood samples drawn from 894 patients who underwent allogeneic HCT, we have linked features of the early post-HCT microbiome with subsequent immune cell recovery. We examined lymphocyte recovery and microbiota features in recipients of both unmodified and CD34-selected allografts. We observed that fecal microbial diversity was an independent predictor of CD4 T-cell count 3 months after HCT in recipients of a CD34-selected allograft, who are dependent on de novo lymphopoiesis for their immune recovery. In multivariate models using clinical factors and microbiota features, we consistently observed that increased fecal relative abundance of genus Staphylococcus during the early posttransplant period was associated with worse CD4 T-cell recovery. Our observations suggest that the intestinal bacteria, or the factors they produce, can affect early lymphopoiesis and the homeostasis of allograft-derived T cells after transplantation.

Lactose can fuel GVHD Allogeneic hematopoietic cell transplantation (allo-HCT) is used to treat certain hematopoietic malignancies, but patients have a risk of developing graft-versus-host disease (GVHD). Stein-Thoeringer et al. performed a large-scale analysis of more than 1300 patients treated with allo-HCT across four clinical centers (see the Perspective by Zitvogel and Kroemer). High levels of bacteria from the Enterococcus genus were associated with greater incidence of GVHD and mortality. Lactose appears to provide a substrate for Enterococcus growth, and patients with a lactose-malabsorption genotype had a greater abundance of Enterococcus. A lactose-free diet limited Enterococcus growth, reduced the severity of GVHD, and improved survival in gnotobiotic mouse models. Science , this issue p. 1143 ; see also p. 1077

Patients with multiple myeloma (MM) who achieve minimal residual disease (MRD) negativity after upfront treatment have superior outcomes compared with those who remain MRD+. Recently, associations have been shown between specific commensal microbes and development of plasma cell disorders. Here, we report the association between intestinal microbiota composition and treatment outcome in MM. Microbiota composition of fecal samples collected from 34 MM patients after induction therapy and at the time of flow cytometry–based bone marrow MRD testing was determined by 16S ribosomal RNA sequencing. We observed a higher relative abundance of Eubacterium hallii in the 16 MRD− patients relative to the 18 MRD+ patients. No association was observed between microbial relative abundance and autologous stem cell transplantation history or MM paraprotein isotype. No differences in microbiota α diversity were observed between MRD− and MRD+ patients. The potential association of microbiota composition with treatment response in MM patients is an important parameter for additional correlative and clinical investigation.

Anti-CD19 chimeric antigen receptor (CAR) T cell therapy has led to unprecedented responses in patients with high-risk hematologic malignancies. However, up to 60% of patients still experience disease relapse and up to 80% of patients experience CAR-mediated toxicities, such as cytokine release syndrome or immune effector cell-associated neurotoxicity syndrome. We investigated the role of the intestinal microbiome on these outcomes in a multicenter study of patients with B cell lymphoma and leukemia. We found in a retrospective cohort (n = 228) that exposure to antibiotics, in particular piperacillin/tazobactam, meropenem and imipenem/cilastatin (P-I-M), in the 4 weeks before therapy was associated with worse survival and increased neurotoxicity. In stool samples from a prospective cohort of CAR T cell recipients (n = 48), the fecal microbiome was altered at baseline compared to healthy controls. Stool sample profiling by 16S ribosomal RNA and metagenomic shotgun sequencing revealed that clinical outcomes were associated with differences in specific bacterial taxa and metabolic pathways. Through both untargeted and hypothesis-driven analysis of 16S sequencing data, we identified species within the class Clostridia that were associated with day 100 complete response. We concluded that changes in the intestinal microbiome are associated with clinical outcomes after anti-CD19 CAR T cell therapy in patients with B cell malignancies.

Studies of the relationship between the gastrointestinal microbiota and outcomes in allogeneic hematopoietic stem cell transplantation (allo-HCT) have thus far largely focused on early complications, predominantly infection and acute graft-versus-host disease (GVHD). We examined the potential relationship of the microbiome with chronic GVHD (cGVHD) by analyzing stool and plasma samples collected late after allo-HCT using a case-control study design. We found lower circulating concentrations of the microbe-derived short-chain fatty acids (SCFAs) propionate and butyrate in day 100 plasma samples from patients who developed cGVHD, compared with those who remained free of this complication, in the initial case-control cohort of transplant patients and in a further cross-sectional cohort from an independent transplant center. An additional cross-sectional patient cohort from a third transplant center was analyzed; however, serum (rather than plasma) was available, and the differences in SCFAs observed in the plasma samples were not recapitulated. In sum, our findings from the primary case-control cohort and 1 of 2 cross-sectional cohorts explored suggest that the gastrointestinal microbiome may exert immunomodulatory effects in allo-HCT patients at least in part due to control of systemic concentrations of microbe-derived SCFAs.

BACKGROUND: Relationships between microbiota composition and clinical outcomes after allogeneic hematopoietic-cell transplantation have been described in single-center studies. Geographic variations in the composition of human microbial communities and differences in clinical practices across institutions raise the question of whether these associations are generalizable. METHODS: The microbiota composition of fecal samples obtained from patients who were undergoing allogeneic hematopoietic-cell transplantation at four centers was profiled by means of 16S ribosomal RNA gene sequencing. In an observational study, we examined associations between microbiota diversity and mortality using Cox proportional-hazards analysis. For stratification of the cohorts into higher- and lower-diversity groups, the median diversity value that was observed at the study center in New York was used. In the analysis of independent cohorts, the New York center was cohort 1, and three centers in Germany, Japan, and North Carolina composed cohort 2. Cohort 1 and subgroups within it were analyzed for additional outcomes, including transplantation-related death. RESULTS: We profiled 8767 fecal samples obtained from 1362 patients undergoing allogeneic hematopoietic-cell transplantation at the four centers. We observed patterns of microbiota disruption characterized by loss of diversity and domination by single taxa. Higher diversity of intestinal microbiota was associated with a lower risk of death in independent cohorts (cohort 1: 104 deaths among 354 patients in the higher-diversity group vs. 136 deaths among 350 patients in the lower-diversity group; adjusted hazard ratio, 0.71; 95% confidence interval [CI], 0.55 to 0.92; cohort 2: 18 deaths among 87 patients in the higher-diversity group vs. 35 deaths among 92 patients in the lower-diversity group; adjusted hazard ratio, 0.49; 95% CI, 0.27 to 0.90). Subgroup analyses identified an association between lower intestinal diversity and higher risks of transplantation-related death and death attributable to graft-versus-host disease. Baseline samples obtained before transplantation already showed evidence of microbiome disruption, and lower diversity before transplantation was associated with poor survival. CONCLUSIONS: Patterns of microbiota disruption during allogeneic hematopoietic-cell transplantation were similar across transplantation centers and geographic locations; patterns were characterized by loss of diversity and domination by single taxa. Higher diversity of intestinal microbiota at the time of neutrophil engraftment was associated with lower mortality. (Funded by the National Cancer Institute and others.)

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.

Microbial diversity is associated with improved outcome in patients receiving allogeneic hematopoietic cell transplantation (allo-HCT), however, the mechanism underlying this observation is unclear. Unconventional T cells recognize specific metabolites of bacterial biosynthesis and their role in the post-HCT immunity has not yet been fully clarified. Here we have performed an observational study (n = 174 patients) using 16S rRNA sequencing of early post-HCT patient stool samples (day 7-21 after HCT) paired with multiparameter flow cytometry (performed at day 30 and day 100 after HCT) to explore the relationship between the intestinal microbiome early after HCT and the unconventional T cell populations in circulation. Our data extend findings of other groups suggesting that mucosal-associated invariant T (MAIT) cells are dependent on a diverse microbiome and are also associated with favorable allo-HCT outcome. In addition, we report for the first time that the Vδ2 subset of γδ T cells is positively correlated with MAIT cells as well as independent predictors of favorable transplant outcome. We first focused on MAIT cells as these cells respond to metabolites of the bacterial riboflavin biosynthesis pathway and should therefore be responsive to changes in the gut microbiome. MAIT cell frequency on day 30 after HCT was significantly higher in peripheral blood stem cell (PBSC) graft recipients who had higher peri-engraftment stool diversity (day 7-21; p=0.014, n=118, α-diversity measured using Simpson's reciprocal index, Figure A). Patients with higher-than-median MAIT cell frequency had improved 2-year overall survival (p=0.047, n=118 PBSC recipients, Figure B) and lower non-relapse mortality (p=0.031) compared with patients with lower-than-median frequency. High dimensional flow cytometry analysis using clustering algorithms Uniform Manifold Approximation and Projection (UMAP) and Self Organizing Map (FlowSOM) identified the Vδ2 subset of γδ T cells as the only differentially abundant population associated with higher MAIT cell frequency, and furthermore, frequencies of these two cell types were highly correlated (R=0.38, p=2.8e-05, Figure C). Vδ2 cells are activated by the bacterial metabolite, 4-hydroxy-3-methyl-but-2-enyl pyrophosphate (HMBPP), an intermediate of the microbial isoprenoid biosynthetic pathway. Vδ2 cell frequencies were higher in patients with higher stool α-diversity (p=0.0026, n=118 PBSC recipients, Figure D) and interestingly, appeared protective with regard to acute graft versus host disease (aGVHD), as we observed a higher frequency of Vδ2 cells among patients who had no or grade 1 disease compared with patients who experienced grade 2-4 aGVHD (p=0.013). We next used Linear Discriminant effect Size (LefSE) analysis to identify statistically significant differences between bacterial taxa in our groups of interest (threshold p>0.01 and effect size>4) and observed that higher MAIT and Vδ2 cell numbers are associated with higher abundance of bacteria belonging to the phylum Bacteroidetes and lower MAIT and Vδ2 cell numbers are associated with higher abundance of the members of the phylum Firmicutes. Furthermore, using the PICRUSt2 algorithm, which uses 16S amplicon abundance data to predict the abundance of functional pathways, we observed a significantly increased predicted abundance of HMBPP, the phosphoantigen ligand for Vδ2 cells, in the patients with higher circulating Vδ2 cell frequencies (p=0.00054). Our findings confirm our hypothesis that a diverse microbiota supports the reconstitution of protective unconventional T cell populations, namely MAIT and Vδ2 cells, which are in turn associated with a favorable HCT outcome. Although further studies are needed to dissect the functional contribution of these cells to the post-transplantation immune milieu, our work offers a valuable insight into the interplay between the intestinal microbiome and reconstitution of immune subsets after allo-HCT and may aid in the design of microbiota-targeted interventions. Figure 1 Figure 1. Disclosures Gomes: Xbiome: Current Employment. Zappasodi: iTeos Therapeutics: Consultancy; Astra Zeneca: Research Funding; Bristol Myers Squibb: Research Funding. Ponce: CareDx: Consultancy, Honoraria; Takeda Pharmaceuticals: Research Funding; Generon Pharmaceuticals: Consultancy; Kadmon pharmaceuticals: Consultancy, Honoraria; Ceramedix: Consultancy, Honoraria; Seres Therapeutics: Consultancy, Research Funding. Giralt: JENSENN: Membership on an entity's Board of Directors or advisory committees; SANOFI: Membership on an entity's Board of Directors or advisory committees; AMGEN: Membership on an entity's Board of Directors or advisory committees; PFIZER: Membership on an entity's Board of Directors or advisory committees; GSK: Membership on an entity's Board of Directors or advisory committees; JAZZ: 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. Peled: Seres: Other: Intellectual Property Rights, Research Funding and Travelfees; DaVolterra: Consultancy; Other: Other: Jonathan U. Peled had filed intellectual property applications related to the microbiome (referencenumbers #62/843,849, #62/977,908, and #15/756,845); MaaT Pharma: Consultancy. Perales: Cidara: Honoraria; Celgene: Honoraria; Merck: Honoraria; MorphoSys: Honoraria; Nektar Therapeutics: Honoraria, Other; Equilium: Honoraria; Karyopharm: Honoraria; Takeda: Honoraria; Bristol-Myers Squibb: Honoraria; Kite/Gilead: Honoraria, Other; Medigene: Honoraria; Novartis: Honoraria, Other; Sellas Life Sciences: Honoraria; Servier: Honoraria; Miltenyi Biotec: Honoraria, Other; Omeros: Honoraria; Incyte: Honoraria, Other; NexImmune: Honoraria. van den Brink: Rheos: Honoraria; Merck & Co, Inc: Honoraria; Therakos: Honoraria; Amgen: Honoraria; GlaskoSmithKline: Other: has consulted, received honorarium from or participated in advisory boards; Synthekine (Spouse): Other: has consulted, received honorarium from or participated in advisory boards; Kite Pharmaceuticals: Other; Notch Therapeutics: Honoraria; Nektar Therapeutics: Honoraria; Priothera: Research Funding; Wolters Kluwer: Patents & Royalties; Juno Therapeutics: Other; Frazier Healthcare Partners: Honoraria; DKMS (nonprofit): Other; Seres: Other: Honorarium, Intellectual Property Rights, Research Fundingand Stock Options; Forty-Seven, Inc.: Honoraria; Lygenesis: Other: has consulted, received honorarium from or participated in advisory boards ; WindMILTherapeutics: Honoraria; Pharmacyclics: Other; Jazz Pharmaceuticals: Honoraria; Novartis (Spouse): Other: has consulted, received honorarium from or participated in advisory boards; Da Volterra: Other: has consulted, received honorarium from or participated in advisory boards; Ceramedix: Other: has consulted, received honorarium from or participated in advisory boards ; MagentaTherapeutics: Honoraria; Pluto Therapeutics: Current holder of stock options in a privately-held company, Other: has consulted, received honorarium from or participated in advisory boards .

Introduction: Cellular immunotherapy with CD19-targeted chimeric antigen receptor (CAR) T cells has provided new therapeutic options for patients with high-risk hematologic malignancies. Following this therapy, patients may experience disease relapse or CAR-mediated toxicity due to cytokine release syndrome (CRS) or immune effector cell-associated neurotoxicity syndrome (ICANS). Recent studies have confirmed that the intestinal microbiome can modulate the anti-tumor immune response to chemotherapy, immune checkpoint blockade, graft-versus-host disease after allogeneic hematopoietic cell transplantation, and adoptive cellular therapy. The contribution of the intestinal microbiome on the function of CAR T cells in vivo both with respect to their anti-tumor function and their propensity to induce toxicities is not known. Hence, in a multi-center study we analyzed the association between clinical outcomes and (1) antibiotic exposure prior to CAR T cell infusion and (2) the composition and diversity of the fecal microbiome. Methods and Results: We retrospectively collected clinical data and antibiotic exposures from patients with acute lymphoblastic leukemia (ALL, n=91) and non-Hodgkin lymphoma (NHL, n=137) treated with investigational or commercial CD19 CAR T cells at Memorial Sloan Kettering Cancer Center (MSK) and the University of Pennsylvania (Penn). We considered any antibiotic exposure between day -30 and the day of CAR T cell infusion. We focused our analysis on anaerobe-targeting antibiotics used in the setting of neutropenic fever: piperacillin-tazobactam, imipenem-cilastatin, and meropenem (here referred to as "P-I-M"). We found that forty-seven (20.6%) of 228 patients were exposed to P-I-M in the four weeks before CAR T cell infusion. Patient characteristics at the time of CAR T cell infusion were similar between the P-I-M-exposed and not-exposed groups, although a worse performance status was observed in patients with NHL treated with P-I-M. We found that overall survival (OS) was significantly decreased following CAR T cell infusion in patients exposed to P-I-M (Fig 1A; OS HR, 2.58; 95% CI, 1.68 - 3.98; p= We also prospectively collected baseline fecal samples prior to cell infusion from CD19 CAR T cells recipients (n=48) at MSK and Penn. Samples were submitted for 16S RNA sequencing of the V4-V5 region on the Illumina MiSeq platform and the amplicon sequence variants (ASVs) were annotated according to the NCBI 16S database using BLAST. In comparison to healthy controls (n=30), we found that alpha-diversity was significantly lower in fecal samples from CAR T cell patients (p= 0.0023, Fig 1B) and the composition of fecal samples was significantly different (p= Conclusion: Our results suggest that exposure to antibiotics, in particular P-I-M, in the four weeks before therapy was associated with worse survival. Profiling of the baseline fecal microbiome samples by 16S revealed that CD19 CAR T cell patients presented with evidence of an altered fecal microbiome as measured by lower alpha-diversity and a composition that is distinct from that of healthy controls. Finally, we identified bacterial taxa that were associated with Day 100 CR and CAR-mediated toxicity. Our findings indicate that the intestinal microbiome can affect the efficacy of CD19 CAR T cell therapy and provides a rationale to target the intestinal microbiome to improve clinical outcomes of patients treated with cellular therapies. Figure 1 Figure 1. Disclosures Smith: Janssen: Consultancy, Honoraria. Gomes: Xbiome: Current Employment. Schluter: Postbiotics Plus LLC: Other: cofounder. Park: Kura Oncology: Consultancy; BMS: Consultancy; Servier: Consultancy; Autolus: Consultancy; Curocel: Consultancy; Artiva: Consultancy; Kite Pharma: Consultancy; Amgen: Consultancy; Novartis: Consultancy; Affyimmune: Consultancy; Intellia: Consultancy; Innate Pharma: Consultancy; Minerva: Consultancy; PrecisionBio: Consultancy. Palomba: Pharmacyclics: Membership on an entity's Board of Directors or advisory committees; Kite Pharmaceuticals: Membership on an entity's Board of Directors or advisory committees. Jain: Targeted Healthcare Communications: Consultancy; Bristol Myers Squibb: Other: for advisory board participation; CareDx: Other: for advisory board participation; CTI Biopharma: Research Funding; Syneos Health: Research Funding. Pennisi: Gilead Sciences: Consultancy. Perales: Miltenyi Biotec: Honoraria, Other; Novartis: Honoraria, Other; Omeros: Honoraria; NexImmune: Honoraria; Bristol-Myers Squibb: Honoraria; Merck: Honoraria; Celgene: Honoraria; Takeda: Honoraria; Kite/Gilead: Honoraria, Other; Medigene: Honoraria; Nektar Therapeutics: Honoraria, Other; Cidara: Honoraria; Servier: Honoraria; Sellas Life Sciences: Honoraria; Karyopharm: Honoraria; MorphoSys: Honoraria; Equilium: Honoraria; Incyte: Honoraria, Other. Garfall: Amgen: Honoraria; CRISPR Therapeutics: Research Funding; GlaxoSmithKline: Honoraria; Janssen: Honoraria, Research Funding; Novartis: Research Funding; Tmunity: Research Funding. Landsburg: Triphase: Research Funding; Morphosys: Membership on an entity's Board of Directors or advisory committees; Karyopharm: Membership on an entity's Board of Directors or advisory committees, Other: DSMB member; Incyte: Membership on an entity's Board of Directors or advisory committees; ADCT: Membership on an entity's Board of Directors or advisory committees; Curis: Research Funding; Takeda: Research Funding. Gerson: Kite: Consultancy; Pharmacyclics: Consultancy; Abbvie: Consultancy; TG Therapeutics: Consultancy. Svoboda: Imbrium: Consultancy; Genmab: Consultancy; Astra Zeneca: Consultancy, Research Funding; Atara: Consultancy; BMS: Consultancy, Research Funding; Adaptive: Consultancy, Research Funding; Incyte: Research Funding; Merck: Research Funding; Pharmacyclics: Consultancy, Research Funding; Seattle Genetics: Consultancy, Research Funding; TG: Research Funding. Giralt: AMGEN: Membership on an entity's Board of Directors or advisory committees; PFIZER: Membership on an entity's Board of Directors or advisory committees; BMS: Membership on an entity's Board of Directors or advisory committees; SANOFI: Membership on an entity's Board of Directors or advisory committees; CELGENE: Membership on an entity's Board of Directors or advisory committees; JAZZ: Membership on an entity's Board of Directors or advisory committees; GSK: Membership on an entity's Board of Directors or advisory committees; JENSENN: Membership on an entity's Board of Directors or advisory committees; Actinnum: Membership on an entity's Board of Directors or advisory committees. Gill: Interius Biotherapeutics: Current holder of stock options in a privately-held company, Research Funding; Novartis: Other: licensed intellectual property, Research Funding; Carisma Therapeutics: Current holder of stock options in a privately-held company, Research Funding. Rivière: FloDesign Sonics: Other: Provision of Services; Centre for Commercialization of Cancer Immunotherapy: Other: Provision of Services; Fate Therapeutics: Other: Provision of Services, Patents & Royalties; The Georgia Tech Research Corporation (GTRC): Other: Provision of Services (uncompensated); Juno Therapeutics: Patents & Royalties. Porter: Kite/Gilead: Membership on an entity's Board of Directors or advisory committees; Wiley and Sons Publishing: Honoraria; Tmunity: Patents & Royalties; Novartis: Membership on an entity's Board of Directors or advisory committees, Patents & Royalties, Research Funding; Incyte: Membership on an entity's Board of Directors or advisory committees; Janssen: Membership on an entity's Board of Directors or advisory committees; ASH: Membership on an entity's Board of Directors or advisory committees; DeCart: Membership on an entity's Board of Directors or advisory committees; Genentech: Current equity holder in publicly-traded company, Ended employment in the past 24 months; American Society for Transplantation and Cellular Therapy: Honoraria; National Marrow Donor Program: Membership on an entity's Board of Directors or advisory committees. Schuster: Abbvie: Consultancy, Research Funding; Acerta Pharma: Consultancy; AstraZeneca: Consultancy; Adaptive Biotechnologies: Research Funding; BeiGene: Consultancy; Celgene: Consultancy, Honoraria, Research Funding; DTRM: Research Funding; Genetech: Consultancy, Research Funding; Roche: Consultancy, Research Funding; Incyte: Research Funding; Juno Theraputics: Consultancy, Research Funding; Loxo Oncology: Consultancy; Merck: Research Funding; Nordic Nanovector: Consultancy; Novartis: Consultancy, Honoraria, Patents & Royalties, Research Funding; Pharmaclcyclics: Research Funding; Tessa Theraputics: Consultancy; TG Theraputics: Research Funding. Sadelain: NHLBI Gene Therapy Resource Program: Other: Provision of Services (uncompensated); Fate Therapeutics: Other: Provision of Services (uncompensated), Patents & Royalties; Atara Biotherapeutics: Patents & Royalties; Ceramedix: Patents & Royalties; Mnemo Therapeutics: Patents & Royalties; Takeda Pharmaceuticals: Other: Provision of Services, Patents & Royalties; St. Jude Children's Research Hospital: Other: Provision of Services; Juno Therapeutics: Patents & Royalties; Minerva Biotechnologies: Patents & Royalties. Frey: Novartis: Research Funding; Kite Pharma: Consultancy; Sana Biotechnology: Consultancy; Syndax Pharmaceuticals: Consultancy. Brentjens: Gracell Biotechnologies, Inc: Consultancy, Ended employment in the past 24 months; BMS: Consultancy, Patents & Royalties, Research Funding; sanofi: Patents & Royalties; Caribou: Patents & Royalties. June: AC Immune, DeCART, BluesphereBio, Carisma, Cellares, Celldex, Cabaletta, Poseida, Verismo, Ziopharm: Consultancy; Novartis: Patents & Royalties; Tmunity, DeCART, BluesphereBio, Carisma, Cellares, Celldex, Cabaletta, Poseida, Verismo, Ziopharm: Current equity holder in publicly-traded company. Pamer: Diversigen: Other: Advisory board; Bristol Myers Squibb, Celgene, Seres Therapeutics, MedImmune, Novartis and Ferring Pharmaceuticals: Honoraria. Peled: DaVolterra: Consultancy; MaaT Pharma: Consultancy; CSL Behring: Consultancy; Seres Therapeutics: Research Funding. Ruella: BMS, BAYER, GSK: Consultancy; Novartis: Patents & Royalties; AbClon: Consultancy, Research Funding; Tmunity: Patents & Royalties; viTToria biotherapeutics: Research Funding. van den Brink: WindMILTherapeutics: Honoraria; Pluto Therapeutics: Current holder of stock options in a privately-held company, Other: has consulted, received honorarium from or participated in advisory boards ; Priothera: Research Funding; Forty-Seven, Inc.: Honoraria; MagentaTherapeutics: Honoraria; GlaskoSmithKline: Other: has consulted, received honorarium from or participated in advisory boards; Ceramedix: Other: has consulted, received honorarium from or participated in advisory boards ; Merck & Co, Inc: Honoraria; Synthekine (Spouse): Other: has consulted, received honorarium from or participated in advisory boards; Kite Pharmaceuticals: Other; Amgen: Honoraria; Frazier Healthcare Partners: Honoraria; Seres: Other: Honorarium, Intellectual Property Rights, Research Fundingand Stock Options; Rheos: Honoraria; Therakos: Honoraria; Jazz Pharmaceuticals: Honoraria; Notch Therapeutics: Honoraria; Nektar Therapeutics: Honoraria; Wolters Kluwer: Patents & Royalties; Juno Therapeutics: Other; DKMS (nonprofit): Other; Pharmacyclics: Other; Da Volterra: Other: has consulted, received honorarium from or participated in advisory boards; Novartis (Spouse): Other: has consulted, received honorarium from or participated in advisory boards; Lygenesis: Other: has consulted, received honorarium from or participated in advisory boards .

Intestinal microbiota injuries in allo-HCT patients are characterized by loss of a-diversity and domination of microbial communities by single organisms. These injury patterns are associated with poor survival after allo-HCT and are likely attributable to antibiotic exposure, nutritional alterations, and regimen-related mucosal injury. As recipients of auto-HCT patients have similar exposures, we hypothesized that similar patterns of dysbiosis occur in auto-HCT patients. We present the first analysis of intestinal microbiota composition in auto-HCT patients at two independent institutions. From a prospectively collected cohort, we retrospectively identified 365 patients (median age 60) who received auto-HCT (May 2009 to Feb. 2018) at two transplant centers (MSK n = 316; Duke n = 49) with heterogeneous conditioning regimens, pre-HCT remission status, and diagnoses: 179 (49%) myeloma, 153 (42%) lymphoma, and 33 (9%) other diseases. 857 samples collected approximately weekly peri-transplant were 16S sequenced (V4-V5 region, Illumina platform) at a central laboratory. Stool samples from 17 volunteers at MSK and a publicly available dataset of 313 subjects from the Human Microbiome Project (HMP) served as healthy-control cohorts. The median pre-auto-HCT a-diversity during day -10 to 0 (as measured by Simpson reciprocal index, S) at both centers was significantly lower than healthy controls (Fig A) (HMP vs MSK auto-HCT, S=12.05 vs. 9.19, p 30% of bacterial abundance. The cumulative incidence of intestinal domination by any organism was >50% by day 0 and was >75% by day +14. Microbial diversity is reduced prior to transplant in both auto-HCT and allo-HCT patients compared with healthy volunteers. Loss of diversity after auto-HCT occurs across transplant centers and the degree of injury is comparable to the dysbiosis observed in allo-HCT patients. We previously reported that intestinal monodomination increases the risk of bacteremia with corresponding organisms in allo-HCT patients. We now report these events are a common occurrence after auto-HCT, which suggests prevention or repair of microbiota injury as a strategy to reduce the toxicity of auto-HCT.

Intestinal microbiota composition is strongly associated with HCT patient outcomes. We have reported associations between antibiotic exposures and microbiota diversity and GVHD-related mortality. However, understanding microbiota-composition dynamics in response to specific perturbations is challenging due to the high-dimensional nature of microbiota data. This study identified clusters of intestinal microbiota compositions and investigated their dynamics using transition probabilities in a large dataset of allo-HCT fecal specimens. The bacterial compositions of 7,930 samples from 1,076 allo-HCT patients were determined by 16S rRNA deep-sequencing and visualized by tSNE (Fig. a). Samples were clustered into 10 distinct microbiota configurations by k-means clustering of a b-diversity matrix (Fig. b). Visually, clusters reflected monodominant taxonomic groups: cluster 5 overlaps with the Enterococcus group, while cluster 10 overlaps with the Streptococcus group. These clusters also captured variations in diversity, as clusters 1-2 and 5-10 represented high- and low-diversity states, respectively (Fig. c). Clusters also exhibited dynamic behaviors: high-diversity clusters 1-2 were common in pre-HCT samples, while most post-HCT samples belonged to low-diversity clusters 5-10 (Fig. d). The temporal behaviors of microbiota composition per patient could be modeled by cluster transition probabilities from 1 week pre- to 1 week post-HCT. Without piperacillin-tazobactam (pip-tazo) administration, patients who had a diverse composition pre-HCT were most likely to maintain their diverse state (probability P = 20%), and had a low chance of transitioning to the Enterococcus cluster (cluster 5, P = 5%) and to the Streptococcus cluster (cluster 10, P = 0%) post-HCT. However, pip-tazo exposure was associated with increased transition to the Enterococcus cluster (P = 15%) and to the Streptococcus cluster (P = 9%), and decreased diversity maintenance (P = 14%) (Fig. e). The occurrence of each cluster at peri-engraftment time (days 7-21) was used to estimate its association with patient survival. The Streptococcus cluster was associated with increased mortality, highlighting a disadvantageous cluster transition under pip-tazo exposure (Fig. f). While prior studies have associated bacterial taxa or diversity indices with biomarkers of clinical outcomes, here we considered the entire intestinal communities and demonstrated that post-HCT mortality risk can be predicted by the global microbiota composition at days 7-21. This computational framework can be used to predict cluster transitions in response to various clinical variables such as specific drug exposures and clinical events by means of a high-resolution transition matrix, ultimately informing strategies to optimize treatment plans for HCT patients to maximize a healthy gut microbiota state and clinical outcomes.

Chronic GVHD affects ∼50% of long-term survivors of allo-HCT, and is the leading cause of mortality in patients who survive to two years. Unlike aGVHD, cGVHD pathology is fibrotic and shares features with the autoimmune conditions Sjogrens syndrome and systemic sclerosis. Gastrointestinal microbiota signatures have been associated with these conditions, and we thus hypothesized that the configuration of microbial communities would also be associated with cGVHD, and may serve as predictive biomarkers or offer mechanistic insights into cGVHD pathogenesis. We identified a cohort of 55 cGVHD patients, confirmed by formal clinical consensus (NIH criteria), transplanted at MSKCC from 2013-2017. The majority received unmodified PBSC (60%) with the remainder receiving CD34-selected (20%), and marrow or cord-blood grafts (20%). 532 stool samples from 55 cGVHD cases were compared with 1462 samples from 165 controls (matched for graft source). Median cGVHD onset was d194. Patient characteristics in the cases and controls were equivalent, including rate of aGVHD prior to day 100 (55% vs 46%; p = 0.27). In addition, we compared the cGVHD cases with an independent cohort of patients with Gr3-4 aGVHD (n = 71 patients, contributing 835 samples), and an additional control group (matched for graft-source, n = 213 patients, 1786 samples) who remained GVHD-free. All stool samples underwent 16S-targeted sequencing on the Illumina platform. In addition, available peri-d100 samples underwent shotgun metagenomic sequencing (cGVHD, n = 9; controls, n = 25). There were no differences in a-diversity as a function of time peri-HCT, nor did we observe clustering of community characteristics in tSNE-space, or differences using the linear discriminant effect size (LEfSE) pipeline when we specifically examined samples collected pre-transplant, peri-engraftment, or peri-d100. In contrast, a set of genera reported to be enriched in intestinal communities of patients with autoimmune diseases were selected for targeted analysis and revealed higher relative abundance in Prevotella prior to HCT in cGVHD cases (case vs source-matched control p Here, we report for the first time, intestinal microbial signatures that are associated with cGVHD and are identifiable pre-HCT and peri-d100. The cGVHD-associated dysbiosis we have identified may have value as both a biomarker for cGVHD risk and mechanistic relevance.

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 Fecal microbiota composition is associated with important outcomes after allo-HCT including survival, relapse, GVHD, and infections. We previously demonstrated in a multicenter observational study that HCT patients present with fecal microbiota configurations that have lower diversity and are distinct from those of healthy individuals, and that pre-HCT microbiota injury predicts poor overall survival. Here, we hypothesized that pre-HCT fecal microbiota features predict development of critical illness post-HCT. Methods We analyzed 828 adults who received a first allo-HCT from 2009 to 2017 at a single institution who had an evaluable fecal sample in our biobank collected within the 10 days prior to cell infusion. The patients were heterogeneous with respect to transplant indication, conditioning intensity, graft source (cord blood, peripheral blood, marrow) and graft manipulation (CD34-selection). The V4-V5 regions of 16S rRNA genes of DNA extracted from fecal samples were amplified and annotated taxonomically. The outcome of interest was time to ICU admission, which was assessed using survival-analysis methods. The reason for admission to the ICU was evaluated for each subject. Results Seventy-five (9%) patients were admitted to the intensive care unit (ICU) between the day of cell infusion and day +50; the peak incidence of ICU admission occurred on day +10. The most common indications for ICU admission were respiratory failure (65%) and infection (27%). Patients were stratified based on fecal microbiota diversity, as assessed by 16S sequencing of stool samples collected prior to transplantation, into high (inverse Simpson index ≥4) and low ( Conclusion Pre-transplant fecal microbial diversity is an independent predictor of intensive-care-requiring critical illness in the post-HCT period. These observations highlight the pre-HCT period as a window of opportunity to (a) assess microbiota injury in conjunction with comorbidity evaluation, (b) inform selection of antibiotic prophylaxis, gut-decontamination, GVHD-prophylaxis, or conditioning regimens, and (c) intervene with microbiota injury-remediation or prevention strategies. Figure Disclosures Brereton: Seres Therapeutics: Other: Salary Support. Clurman:Seres Therapeutics: Research Funding. Slingerland:Seres Therapeutics: Other: Salary supported by Seres funding. Shah:Janssen Pharmaceutica: Research Funding; Amgen: Research Funding. Scordo:McKinsey & Company: Consultancy; Angiocrine Bioscience, Inc.: Consultancy. Politikos:Angiocrine Bioscience Inc: Research Funding. Gyurkocza:Actinium Pharmaceuticals: Research Funding. Barker:Angiocrine Bioscience Inc: Research Funding; Gamida Cell: Research Funding; Merck: Research Funding. Perales:Kyte/Gilead: Research Funding; Miltenyi: Research Funding; MolMed: Membership on an entity's Board of Directors or advisory committees; NexImmune: 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; Bristol-Meyers Squibb: Honoraria, 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. Giralt:Amgen: Consultancy, Research Funding; Spectrum Pharmaceuticals: Consultancy; Actinium: Consultancy, Research Funding; Celgene: Consultancy, Research Funding; Kite: Consultancy; Johnson & Johnson: Consultancy, Research Funding; Jazz Pharmaceuticals: Consultancy; Miltenyi: Research Funding; Takeda: Consultancy, Research Funding; Novartis: Consultancy. van den Brink:Merck & Co, Inc.: Consultancy, Honoraria; Acute Leukemia Forum (ALF): Consultancy, Honoraria; Magenta and DKMS Medical Council: Membership on an entity's Board of Directors or advisory committees; Juno Therapeutics: Other: Licensing; Amgen: Consultancy, Honoraria; Therakos: 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. Pamer:Bristol Myers Squibb: Honoraria; Celgene: Honoraria; Seres Therapeutics: Honoraria, Patents & Royalties; MedImmune: Honoraria; Novartis: Honoraria; Ferring Pharmaceuticals: Honoraria. Peled:Seres Therapeutics: Research Funding.

Cellular therapy with chimeric antigen receptor (CAR) T cells has fundamentally changed the treatment of many cancers. Unfortunately, not all patients who receive this therapy have a favorable response. Additionally, patients may develop toxicity due to cytokine release syndrome (CRS) or neurotoxicity. We hypothesized that the composition of the intestinal microbiota prior to CAR T cell infusion is correlated with efficacy and toxicity. We collected fecal samples from recipients of CAR T cells at Memorial Sloan Kettering Cancer Center (MSKCC) pre-CAR T cell infusion. Microbiota composition was profiled by 16S sequencing. Shotgun metagenomic sequencing was performed on a subset of the samples. Clinical response to assess efficacy was classified as complete response (CR) or no CR. Toxicity was defined as CRS or neurotoxicity of Grade 1 to 4. Linear discriminant analysis effect size (LEfSe) identified differentially abundant bacteria between groups with a linear discriminant analysis (LDA) score threshold >2.5. We analyzed baseline samples from 25 patients treated at MSKCC. The patients were adult recipients of CAR T cells who varied in regard to conditioning regimen, CAR construct and underlying diagnosis, which included hematologic and solid malignancies. LEfSe revealed increased representation of bacterial taxa in the microbiome of CR versus no CR, with Oscilliospiraceae, Ruminococcacaeae and Lachnospiraceae enriched in CR and Peptostreptococcaceae more abundant in no CR (A). A higher abundance of Lachnospiraceae was found in those who experienced toxicity, while Peptostreptococcaceae was more abundant in patients who did not have toxicity (B). We explored shotgun metagenomic sequences from 19 of 25 samples that were functionally annotated using the shortBRED pipeline. We inspected abundances of genes assigned to three pathways that we hypothesized may be immunologically relevant: B vitamin synthesis, bile acid biosynthesis, and short-chain fatty acid production. We observed increased abundance of genes associated with B vitamin biosynthesis in patients who had no CR (C) or toxicity (D). We observe differential abundance of microbiota in patients who achieved a CR or experienced toxicity as compared to those who did not achieve a CR or experience toxicity. We observe that increased B vitamin gene abundance is associated with no CR or toxicity. Overall, this data indicates that features of the microbiota may correlate with outcomes to CAR T cell therapy.

Intestinal microbiota composition is associated with important allo-HCT outcomes including relapse, GVHD, immune reconstitution, and infections. Intestinal diversity assessed peri-neutrophil-engraftment is predictive of TRM and overall survival. These observations were made in single-center studies of post-HCT stool samples. We hypothesized that the pre-HCT microbiota is also a determinant of post-HCT outcomes. 1,922 stool samples were collected ∼weekly from 991 allo-HCT pts at 4 centers (Cohorts 1 and 2 in the US; cohort 3 in Europe; cohort 4 in Japan). The patients varied in diagnosis, graft sources, and conditioning intensity. All samples were 16S sequenced and analyzed at a central lab. Pre-HCT a-diversity (inverse Simpson) values in 4 cohorts were 1.7-to-2.5-fold lower than those of healthy volunteers (A, p We next asked how similar these pre-HCT communities are across geography. Bray-Curtis distances between cohorts were much smaller than the changes observed over time during transplantation (C, p To better characterize these low-diversity phenotypes, we defined domination as a microbiota injury in which any taxon comprised >30% of bacterial abundance. The dominating taxa belonged to multiple genera, most commonly Enterococcus (E). In all 4 cohorts, the cumulative incidence of monodomination was >50% by d+0 and >87% by d+28 (Fig F). In the largest cohort, low-diversity states were associated with exposure to broad-spectrum antibiotics, conditioning intensity, and low calorie intake. In conclusion, we demonstrate that allo-HCT pts from 4 institutions on 3 continents presented with pre-HCT microbiota configurations that were similar to one another and distinct from those of healthy individuals. Severe microbiota injury as revealed by domination is a common event that begins before allograft infusion, and pre-HCT microbiota injury predicts poor overall survival. These observations suggest the pre-HCT period as a window of opportunity to (a) assess microbiota injury as part of comorbidity evaluation, (b) inform selection of antibiotic prophylaxis, gut-decontamination, GVHD-prophylaxis, or conditioning regimens, and (c) intervene with microbiota injury-remediation or prevention strategies.

Introduction Cellular therapy with chimeric antigen receptor (CAR) T cells has fundamentally changed the treatment of many cancers. Unfortunately, not all patients who receive this therapy have a favorable response. Additionally, some patients may develop toxicity due to cytokine release syndrome (CRS) or neurotoxicity. Recent studies have found a relationship between the intestinal microbiome and the response to immunotherapy with checkpoint blockade. We propose the intestinal microbiota as a factor that influences the efficacy and toxicity of CAR T cells. We hypothesize that the differences in outcomes of patients who receive CAR T cells are related to the composition of their intestinal microbiota at baseline. We report a single-center analysis of pre-CAR T cell infusion microbiota composition. Methods We collected stool samples from recipients of CAR T cells at Memorial Sloan Kettering Cancer Center (MSKCC). A baseline sample was collected prior to CAR T cell infusion. Samples were submitted for 16S RNA sequencing of the V4-V5 region on the Illumina MiSeq platform and the operational taxonomic units (OTUs) were classified using the NCBI Reference Sequence Database. Clinical response to assess efficacy was classified as either complete response (CR) or no complete response. Given the sample size, toxicity was pooled to encompass Grade 1 to 4 CRS and Grade 1 to 4 neurotoxicity. Linear discriminant analysis effect size (LEfSe) was used to identify microbial biomarkers for efficacy and toxicity between groups using relative abundances with a linear discriminant analysis score threshold >2.5. Results We analyzed 24 baseline samples from 24 patients treated at MSKCC. The patients were all adult recipients of cellular therapy with CAR T cells. The patients varied in conditioning regimen, CAR construct and underlying diagnosis, which included solid tumors and hematologic malignancies. First, we assessed the 16S relative abundance of the intestinal microbiota of the patients at baseline. We found that the composition of the microbiota prior to CAR T cell infusion was diverse, as defined by an Inverse Simpson >4 in all of the patients, although the level of diversity amongst the patient samples varied (Fig A). An assessment of the efficacy of CAR T cells with LEfSe analysis found increased abundance in several families of the Clostridiales order (Firmicutes phylum), including Oscillospiraceae, Ruminococcacaeae, and Lachnospiraceae, in those patients who achieved a CR. For the patients who did not achieve a CR, we found an increased abundance of a family in the Clostridiales order (Firmicutes phylum), Peptostreptococcaceae. Patients who experienced toxicity, either CRS or neurotoxicity, had an increased abundance of families within the Clostridiales or Lactobacillales order (Firmicutes phylum), which included Lachnospiraceae and Lactobacillaceae. Finally, patients who did not experience toxicity also had an increased abundance of a family in the Clostridiales order (Firmicutes phylum), Peptostreptococcaceae. Conclusion We demonstrate that our subset of patients had diverse microbial composition prior to receiving CAR T cell therapy despite the fact that many of them were heavily pre-treated. Additionally, we observe the abundance of the family Lachnospiraceae in the patients who achieved a CR and those who experienced toxicity. Many Lachnospiraceae are butyrate producers, whose presence has been found to be protective against Clostridium difficile infection in recipients of allogeneic hematopoietic cell transplant but whose abundance is lower in colon cancer. Conversely, we observe an abundance of the family Peptostreptococcaceae in patients who did not achieve a CR or who did experience toxicity. Peptostreptococcaceae has been found to be more abundant in the intestines of patients with colon cancer. Of note, the intestinal micriobiota that we identify are not congruent with the specific bacteria that have been found to promote anti-tumor immunity to checkpoint blockade. Our data suggests a role for the intestinal microbiota in mediating the response to CAR T cells and proposes that the baseline microbial composition may correlate with efficacy and toxicity. Further studies will investigate biochemical mechanisms to understand the interplay of the intestinal microbiota and the immune system to improve patient outcomes following CAR T cell therapy. Disclosures Park: Adaptive Biotechnologies: Consultancy; Juno Therapeutics: Consultancy, Research Funding; Novartis: Consultancy; AstraZeneca: Consultancy; Kite Pharma: Consultancy; Amgen: Consultancy, Membership on an entity's Board of Directors or advisory committees; Pfizer: Consultancy; Shire: Consultancy. O'Cearbhaill:Juno: Research Funding. Mailankody:Juno: Research Funding; Janssen: Research Funding; Takeda: Research Funding; Physician Education Resource: Honoraria. Smith:Celgene: Consultancy, Patents & Royalties: CAR T cell therapies for MM, Research Funding. Palomba:Pharmacyclics: Consultancy; Celgene: Consultancy. Riviere:Fate Therapeutics Inc.: Research Funding; Juno Therapeutics, a Celgene Company: Membership on an entity's Board of Directors or advisory committees, Research Funding. Brentjens:Juno Therapeutics, a Celgene Company: Consultancy, Membership on an entity's Board of Directors or advisory committees, Patents & Royalties, Research Funding.

Intestinal microbiota composition is associated with important outcomes after allo-HCT including survival, relapse, GVHD, and infections. These observations have been made almost exclusively by characterizing the microbiota in the first weeks after transplantation, and in single-center studies. We previously reported that intestinal diversity measured peri-neutrophil engraftment is predictive of overall survival in a multicenter cohort. Here, we hypothesized that pre-HCT microbiota configuration may also be an important determinant of post-transplantation outcomes. We report a multicenter analysis conducted at 4 independent international institutions to test this hypothesis. We collected 1922 stool samples ~weekly from 991 unique allo-HCT patients at four international transplant centers: Cohorts 1 and 2 in the US, cohort 3 in Europe, and cohort 4 in Japan. The patients-all adult recipients of allo-HCT-varied in underlying diagnosis, donor-graft sources, conditioning intensity, and GVHD prophylaxis. Samples from all 4 centers were sequenced and analyzed at a central laboratory using the V4-V5 region of 16S rRNA. For patients with multiple samples within the pre-HCT sampling period, which we defined as day -20 to 0, median values were used. On average, patients from all 4 transplantation centers had reduced microbiota diversity pre-HCT, as measured by median α-diversity (inverse Simpson) values that were 1.7-to-2.5-fold lower than those of healthy volunteers. This comparison was made both in volunteers whose samples we sequenced ourselves and in a publicly available dataset (Fig A, p We next asked how similar these pre-HCT communities are across geography. We found that Bray-Curtis distances between institutions were reproducibly much smaller in magnitude than the changes observed over time during transplantation (Fig C, p In order to characterize these clinically relevant low-diversity phenotypes, we defined domination as a microbiota injury in which any operational taxonomic unit comprises >30% of bacterial abundance. The dominating taxa belonged to multiple genera, the most common being Enterococcus, Streptococcus, Lactobacillus, Escherichia, and Klebsiella (Fig E) as annotated by Greengenes and NCBI databases. At all four institutions, the cumulative incidence of intestinal domination by any organism was >50% by day 0 and was >87% by day +28 (Fig F). We performed additional analyses in the largest cohort and found that the low-diversity state is associated with exposure to broad-spectrum antibiotics, conditioning intensity, and low calorie intake. We demonstrate that HCT patients at 4 institutions on 3 continents presented with microbiota configurations that were similar to one another and distinct from those of healthy individuals. Severe microbiota injury as revealed by domination is a common event whose development begins before allograft infusion, and pre-HCT microbiota injury predicts poor overall survival. These observations suggest the pre-HCT period as a window of opportunity to (a) assess microbiota injury as part of comorbidity evaluation, (b) inform selection of antibiotic prophylaxis, gut-decontamination, GVHD-prophylaxis, or conditioning regimens, and (c) intervene with microbiota injury-remediation or prevention strategies. Figure. Figure. Disclosures Peled: Seres Therapeutics: Research Funding. Perales:Merck: Other: Personal fees; Takeda: Other: Personal fees; Abbvie: Other: Personal fees; Novartis: Other: Personal fees; Incyte: Membership on an entity's Board of Directors or advisory committees, Other: Personal fees and Clinical trial support. Jenq:MicrobiomeDx: Consultancy; Ziopharm Oncology: Consultancy; Seres Therapeutics, Inc.: Membership on an entity's Board of Directors or advisory committees; Seres Therapeutics, Inc.: Patents & Royalties.

Introduction: We have previously reported that clinically relevant, dramatic reductions occur in intestinal bacterial diversity during allogeneic hematopoietic stem cell transplant (allo-HSCT). These are likely attributable to antibiotic exposure, nutritional alterations, and intestinal mucosa injury from high-dose chemotherapy. Patients undergoing autologous hematopoietic stem cell transplantation (AHCT) also receive antibiotics and experience nutritional alterations due to mucositis and other gastrointestinal toxicities. We hypothesized that the pattern of dysbiosis seen in AHCT patients would reflect the changes in allo-HSCT patients. Here, we present a novel analysis of microbiota diversity in AHCT patients from two independent institutions. Methods: We retrospectively identified a cohort of 365 patients (median age 60 years) who underwent AHCT for treatment of hematologic malignancy between May 2009 to February 2018 at two large-volume transplant centers in the US. The population was diverse in terms of histology, conditioning regimens and remission status prior to transplant, with 179 (49%) patients diagnosed with multiple myeloma, 153 (42%) patients diagnosed with lymphoma, and 33 (9%) patients with other diseases. Stool samples from the selected patients were collected approximately weekly during inpatient hospitalization. Sequencing of the V4-V5 region of the bacterial 16S rRNA genes from all samples was performed on the Illumina platform at a central site. Microbial diversity was measured by the Simpson reciprocal a-diversity index (S). We defined the pre-AHCT period as days -10 to 0, and computed median values for patients with multiple samples within that period. We additionally defined monodomination of the microbiota as a single operational taxonomic unit comprising >30% of bacterial abundance. For comparison, we sequenced samples from 17 healthy volunteers and used a public dataset of sequences from 313 healthy volunteers from the NIH Human Microbiome Project (HMP). Median pre-transplant microbial diversity in the healthy patient and AHCT groups was compared by a pairwise Wilcox test to a retrospective cohort of allo-HSCT patients. Results: We evaluated 857 samples from 365 adult patients undergoing AHCT, with 316 patients from Memorial Sloan Kettering Cancer Center (MSKCC) and 49 patients from Duke University Medical Center (DUMC). Median pre-transplant diversity in AHCT patients from both centers was significantly lower than in normal controls (Fig 1A) (HMP vs MSKCC AHCT, S=12.05 vs. 9.19, p50% by day 0 and was >75% by day +14. Conclusion: Microbial diversity is reduced prior to transplant in both AHCT and allo-HSCT patients. Loss of diversity after AHCT occurs across centers and the degree of injury is comparable to the dysbiosis in allo-HSCT patients. Preliminary analysis suggests that lower diversity may correlate with worse progression-free survival (PFS) in myeloma patients in our diverse AHCT cohort. Given the known associations of alterations in microbiota composition with toxicities and overall survival in allo-HSCT patients, further evaluation of microbiota injury and its associations with toxicities, PFS, and overall survival (OS) in AHCT patients is warranted. Figure 1: A: The median Simpson reciprocal a-diversity index (S) of pre-transplant (days -10 to 0) samples of AHCT and allo-HSCT patients from two centers, as well as two cohorts of healthy volunteers, was plotted and a pairwise Wilcox test was performed, with p-values as indicated. B: (S) was plotted against time relative to allo-HSCT (on L) and AHCT (on R), for samples collected from day -10 to day +30. Larger values indicate greater diversity. C: Microbiota composition and changes in bacterial monodominance after transplant (days -14 to +28); the most common genus post-transplant is Streptococcus. Figure 1. Figure 1. Disclosures Peled: Seres Therapeutics: Research Funding. Sauter:Juno Therapeutics: Consultancy, Research Funding; Sanofi-Genzyme: Consultancy, Research Funding; Spectrum Pharmaceuticals: Consultancy; Novartis: Consultancy; Precision Biosciences: Consultancy; Kite: Consultancy. Shah:Amgen: Research Funding; Janssen: Research Funding. Perales:Novartis: Other: Personal fees; Incyte: Membership on an entity's Board of Directors or advisory committees, Other: Personal fees and Clinical trial support; Merck: Other: Personal fees; Takeda: Other: Personal fees; Abbvie: Other: Personal fees. Jenq:Ziopharm Oncology: Consultancy; Seres Therapeutics, Inc.: Membership on an entity's Board of Directors or advisory committees; MicrobiomeDx: Consultancy; Seres Therapeutics, Inc.: Patents & Royalties.

Background: Multiple myeloma (MM) patients who achieve minimal residual disease (MRD) negative status after upfront treatment have prolonged progression-free and overall survival compared with those who remain MRD(+) (Landgren CO, Devlin SM et al. Bone Marrow Transplant. 2016;51(12):1565-8). Commensal intestinal microbial composition has been associated with treatment outcomes in cancer patients. We sought to evaluate whether the composition of the intestinal microbiota is associated with MRD status in patients with MM. Methods: Stool samples were collected prospectively from 34 patients after completion of upfront therapy for MM at the time of MRD testing. MRD was assessed with next-generation flow cytometry of bone marrow aspirates (sensitivity 10-5). Microbial analysis was performed via sequencing of 16S rRNA V4-V5 regions using the Illumina MiSeq platform and sequence data was analyzed using UPARSE (Edgar RC, Nature Methods 2013;10(10):996-8). The linear discriminant effect size method (LEfSe) (Segata N et al. Genome Biol. 2011;12(6):R60.) was used to compare detected clades among all groups and evaluate for associations with outcomes, using MRD as class and autologous stem cell transplant (ASCT) as subclass. Alpha diversity was calculated by the Inverse Simpson index and differential relative abundance were calculated using the phyloseq package and compared using the Wilcoxon rank sum test on the R statistical computing platform. Results: Among 34 patients evaluable for microbiota composition and MRD status, the median age was 62.5 years and 16 (47.1%) were MRD(-) at time of stool collection. 24 (70.6%) were treated with carfilzomib, lenalidomide, and dexamethasone as induction therapy (MRD(-): 14 (87.5%), MRD(+):10 (55.5%). 4 (28.5%) MRD(-) patients had autologous stem cell transplant(ASCT), compared with 10 (55.5%) who were MRD(+). In the cohort's samples, we observed 19 phyla, 315 genera, 654 species, and 1549 operational taxonomic units (OTUs). There was no significant difference in alpha diversity between MRD(-) (median 12.24, IQR = 8.76-13.98) and MRD(+) patients (median 12.44, IQR = 8.36 -16.23), p=0.6 by Wilcoxon rank sum test. A positive association with MRD negativity was noted with two butyrate-producing organisms, Eubacterium hallii (p=0.001) and Faecalibacterium prausnitzii (p= 0.006). To further evaluate these relationships, we performed a differential abundance analysis of these selected taxa in MRD(+) and MRD(-) patients at the genus and species level. The relative abundance of the genera Eubacterium and Faecalibacterium were higher in fecal samples from MRD(-) patients than MRD(+) patients (Eubacterium MRD(-): median 4.51% (IQR = 2.83 - 7.32%) vs. MRD(+): median 3.07% (IQR = 1.35 - 3.87%), p=0.0326; Faecalibacterium MRD(-): median 1.68% (IQR = 0.69 - 7.48%) vs. MRD(+): median 0.003% (IQR = 0 - 3.19%), p=0.022. The relative abundance of both species of interest were higher in MRD(-) patients than in MRD(+) patients: E. hallii MRD(-): median 2.67% (IQR = 2.11 - 3.98%) vs. MRD(+): median 1.01% (IQR = 0 - 2.16%), p=0.001; F. prausnitzii MRD(-): median 1.43% (IQR = 0.53 - 7.28%) vs. MRD(+): median 0.3%, (IQR = 0 - 2.54%), p=0.022. Other species of Eubacterium and Faecalibacterium were not significantly differentially abundant between the two groups. Conclusions: Intestinal microbiota containing several butyrate-producing anaerobes appear to be associated with MRD-negativity in patients with myeloma, with higher relative abundance of Eubacterium hallii and Faecalibacterium prausnitzii in MRD(-) patients compared with MRD(+) patients. Butyrate and other short-chain fatty acids are biologically active metabolites formed during microbial fermentation of dietary or host-derived carbohydrates, which supply the host with energy and also modulate immunity, including exerting anti-inflammatory functions. Microbes of the genus Eubacterium have been associated with reduced risk of relapse in several hematologic cancers after allogeneic hematopoietic cell transplantation, including MM (Peled JU, Devlin SM et al. J Clin Oncol 2017;35(15):1650-9). This is first study to our knowledge to suggest an association between gut microbiota and MRD status in patients with myeloma and supports further investigation of a potential role for intestinal microbiota in the natural history and treatment of myeloma. Disclosures Peled: Seres Therapeutics: Research Funding. Landgren:Karyopharm: Consultancy; Merck: Membership on an entity's Board of Directors or advisory committees; Pfizer: Consultancy; Janssen: Consultancy, Membership on an entity's Board of Directors or advisory committees, Research Funding; Celgene: Consultancy, Research Funding; Amgen: Consultancy, Research Funding; Takeda: Consultancy, Membership on an entity's Board of Directors or advisory committees, Research Funding. Lesokhin:Squibb: Consultancy, Honoraria; Genentech: Research Funding; Bristol-Myers Squibb: Consultancy, Honoraria, Research Funding; Serametrix, inc.: Patents & Royalties: Royalties; Takeda: Consultancy, Honoraria; Janssen: Research Funding.