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Clinical Trial
. 2024 Jul 1;14(7):1161-1175.
doi: 10.1158/2159-8290.CD-24-0066.

Randomized Placebo-Controlled, Biomarker-Stratified Phase Ib Microbiome Modulation in Melanoma: Impact of Antibiotic Preconditioning on Microbiome and Immunity

Affiliations
Clinical Trial

Randomized Placebo-Controlled, Biomarker-Stratified Phase Ib Microbiome Modulation in Melanoma: Impact of Antibiotic Preconditioning on Microbiome and Immunity

Isabella C Glitza et al. Cancer Discov. .

Abstract

Gut-microbiota modulation shows promise in improving immune-checkpoint blockade (ICB) response; however, precision biomarker-driven, placebo-controlled trials are lacking. We performed a multicenter, randomized placebo-controlled, biomarker-stratified phase I trial in patients with ICB-naïve metastatic melanoma using SER-401, an orally delivered Firmicutesenriched spore formulation. Fecal microbiota signatures were characterized at baseline; patients were stratified by high versus low Ruminococcaceae abundance prior to randomization to the SER-401 arm (oral vancomycin-preconditioning/SER-401 alone/nivolumab + SER-401), versus the placebo arm [placebo antibiotic/placebo microbiome modulation (PMM)/nivolumab + PMM (NCT03817125)]. Analysis of 14 accrued patients demonstrated that treatment with SER-401 + nivolumab was safe, with an overall response rate of 25% in the SER-401 arm and 67% in the placebo arm (though the study was underpowered related to poor accrual during the COVID-19 pandemic). Translational analyses demonstrated that vancomycin preconditioning was associated with the disruption of the gut microbiota and impaired immunity, with incomplete recovery at ICB administration (particularly in patients with high baseline Ruminococcaceae). These results have important implications for future microbiome modulation trials. Significance: This first-of-its-kind, placebo-controlled, randomized biomarker-driven microbiome modulation trial demonstrated that vancomycin + SER-401 and anti-PD-1 are safe in melanoma patients. Although limited by poor accrual during the pandemic, important insights were gained via translational analyses, suggesting that antibiotic preconditioning and interventional drug dosing regimens should be carefully considered when designing such trials.

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Conflict of interest statement

I.C. Glitza reports grants from BMS during the conduct of the study; grants, personal fees, and other support from Pfizer, personal fees from Novartis, grants from Merck, and personal fees from Midatech outside the submitted work. C.N. Spencer reports other support from the Parker Institute for Cancer Immunotherapy during the conduct of the study; personal fees from the Rare Cancer Research Foundation outside the submitted work; in addition, C.N. Spencer has a patent for improving responses to ICB therapy by enhancing the diversity and composition of the gut microbiome in patients with cancer licensed. J.R. Wortman reports other support from Seres Therapeutics outside the submitted work; in addition, J.R. Wortman has a patent for US20210361721A1 pending. J. Fairchild reports personal fees from the Parker Institute for Cancer Immunotherapy during the conduct of the study. C.B. Peterson reports grants from NIH/NCI CCSG 5P30CA016672 (Biostatistics Resource Group) during the conduct of the study. B. Weiner reports other support from Immuneering Corporation outside the submitted work. N. Hicks reports other support from Seres Therapeutics outside the submitted work. J. Aunins reports other support from the Parker Institute for Cancer Immunotherapy during the conduct of the study; other support from Seres Therapeutics, Inc. outside the submitted work. C. McChalicher reports employment and shareholder relationship with Seres Therapeutics. E. Walsh reports other support from Seres Therapeutics outside the submitted work. O. Hamid reports personal fees from Alkermes, Amgen, Beigene, Bioatla, Eisai, Roche Genentech, Georgiamune, GigaGen, GSK, GSK, Idera, Incyte, Instilbio, IO Bio, Iovance, Janssen, KSQ, Merck, Moderna, NGM, Obsidian, Sanofi, Seattle Genetics, Tempus, Vial Health, Zelluna, Bactonix, BMS, Immunocore, and Novartis, Pfizer, Regeneron during the conduct of the study; and contracted research for institution: Arcus, Aduro, Akeso, Amgen, Bioatla, BMS, Cytomx, Exelixis, Roche Genentech, GSK, Immunocore, Idera, Incyte, Iovance, Merck, Moderna, Merck Serono, Nextcure, Novartis, Pfizer, Regeneron, Seattle Genetics, Torque, Zelluna. P.A. Ott reports grants from Parker Institute during the conduct of the study; grants and personal fees from Bristol-Myers Squibb, Genentech, Merck, grants from Celldex, personal fees from Evaxion, Servier, Phio, and Pharmajet outside the submitted work. G.M. Boland reports grants from Olink Proteomics, Teiko Bio, Palleon Pharmaceuticals, personal fees from Iovance, Merck, Novartis, and Ankyra Therapeutics, and grants and personal fees from InterVenn Biosciences outside the submitted work. R.J. Sullivan reports grants and personal fees from Merck, personal fees from Novartis, Pfizer, Marengo, and Replimune outside the submitted work. N.J. Ajami reports other support from Seres Therapeutics and other support from Parker Institute for Cancer Immunotherapy during the conduct of the study. T. LaVallee reports grants and other support from PICI during the conduct of the study; personal fees from PICI outside the submitted work. M.R. Henn reports other support from the Parker Institute for Cancer Immunotherapy during the conduct of the study; personal fees and other support from Seres Therapeutics outside the submitted work. H.A. Tawbi reports grants and personal fees from Bristol-Myers Squibb, Merck, Novartis, grants from Genentech, personal fees from Pfizer, Iovance, Eisai, grants from Dragonfly, RAPT Therapeutics, personal fees from Karypharm, Jazz Pharmaceuticals, and Medicenna outside the submitted work. J.A. Wargo reports other support from Parker Institute for Cancer Immunotherapy and Seres Therapeutics during the conduct of the study; other support from Gustave Roussy Cancer Center, EverImmune, OSE Immunotherapeutics, Micronoma, and Daiichi Sankyo outside the submitted work; in addition, J.A. Wargo has a patent for PCT/US17/53.717 issued. No disclosures were reported by the other authors.

Figures

Figure 1.
Figure 1.
Efficacy of vancomycin preconditioning followed by SER-401 and nivolumab versus placebo and nivolumab in advanced melanoma patients. A, Schema shows the performed trial design (NCT03817125) incorporated placebo-controlled arms of microbiome intervention with the vanco + SER-401 arm. All arms were designed to receive preconditioning with either vancomycin or placebo antibiotic, followed by a SER-401 lead-in (vs. placebo), then maintenance microbiome intervention (or placebo) concurrent with nivolumab treatment for all arms. B, Best change after trial period; asterisk indicates confirmed PR/CR by RECIST 1.1. C, Swimmer plot showing time on treatment demonstrates the response and survival characteristics by the patient. Rightward arrow denotes continued response at the time of study conclusion. D and E, OS (D) and PFS (E) are displayed using Kaplan–Meier curves between the two arms. PR: partial response; CR: complete response; Abx: Antibiotics; OS: overall survival; PFS: progression-free survival. P value denotes the log-rank test.
Figure 2.
Figure 2.
Gut microbiome assessment after treatment with vancomycin preconditioning, followed by SER-401 and nivolumab (vs. placebo control). D-7 time point is after vancomycin but before SER-401 or nivolumab, whereas C1D1 is after SER-401 lead-in but before nivolumab initiation. A, Ruminococcaceae family relative abundance, displayed by percent change compared with baseline abundance, shows a decrease in abundance at D-7 with subsequent recovery. Wilcoxon signed-rank test performed against baseline in each arm. B, Stacked bar plots of taxa (by family) present in the gut microbiome of individual patients over time. C, Relative abundance of the Ruminococcaceae family over time split by prospective analysis of baseline Ruminococcaceae abundance. Colors indicate the best objective response by RECIST criteria. D and E, Imputed pathway analysis of whole metagenomic sequencing of stool sorted by previously published MetaCyc pathways associated with either beneficial or adverse impact in the setting of immunotherapy (Simpson et al.; ref. 16). In the SER-401 arm at D-7 (after preconditioning but before microbiome intervention), there were lower levels of beneficial pathways and higher levels of adverse pathways; these differences were not present at baseline and did not persist at C1D1 (after initial microbiome intervention but before nivolumab). Wilcoxon rank sum test performed between arms. Abx: antibiotic treatment (vancomycin in SER-401 arm; placebo antibiotic in the placebo arm).
Figure 3.
Figure 3.
Changes in intratumoral and systemic inflammation after vancomycin preconditioning followed by SER-401 and nivolumab (vs. placebo control). A, There was a detectable increase in tumor-infiltrating CD8 cells at C2D1 compared with baseline, with an increased percentage in a pooled analysis (P = 0.06, Mann–Whitney test). B, In patients with available matched baseline and on-treatment samples (n = 3), there was an increase of intratumoral CD8 T-cell infiltration on treatment. Representative IHC images are shown, 1 per arm. C, Comparison of circulating immune cell populations representing change from baseline to D-7 in the SER-401 arm versus the placebo arm by dimensional flow cytometry. Left, Red horizontal line on the volcano plot indicates statistical significance (P < 0.01). Right, Three immune cell populations (1: PD-1+TIGIT+ Treg; 2: PD-1+ Treg; 3: FOXP3 PD-1+ effector cells) from volcano plot over time as mean fold change over baseline. P values represent statistical significance as compared with the baseline by the Mann–Whitney test. D, Comparison of circulating proteins between SER-401 and placebo arms from baseline to D-7 (left) and baseline to C1D1 (right). The red horizontal line on the volcano plot indicates statistical significance (P < 0.05).

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