Association of diversity and composition of the gut microbiome with differential responses to PD-1 based therapy in patients with metastatic melanoma.

2017 ◽  
Vol 35 (7_suppl) ◽  
pp. 2-2 ◽  
Author(s):  
Vancheswaran Gopalakrishnan ◽  
Christine Spencer ◽  
Alexandre Reuben ◽  
Tatiana Karpinets ◽  
Diane Hutchinson ◽  
...  

2 Background: Tremendous advances have been made in cancer therapy through the use of immune checkpoint blockade, although responses are not always durable. There is a growing appreciation of the role of the microbiome in cancer-related outcomes and recent evidence in murine models suggests that modulation of the gut microbiome may enhance responses to immune checkpoint blockade in melanoma. However this has not been investigated in patients. Here, we demonstrate that differential bacterial “signatures” exist in the gut microbiome of responders (R) and non-responders (NR) to anti-PD1 therapy at baseline, and that insights gained could be used to derive actionable strategies to enhance responses. Methods: We collected oral (n = 222) and gut microbiome (n = 113) samples on a large cohort of patients with metastatic melanoma (n = 228), with a majority treated with anti-PD1 therapy (n = 110). Patients were classified as either R or NR based on RECIST criteria, and 16S rRNA gene sequencing was performed to characterize the diversity and composition of the microbiomes. Immune profiling (via 7-marker IHC panel of CD3, CD8, PD-1, PD-L1, Granzyme B, RORγT and FoxP3) was performed in available tumors at baseline. Results: In these studies, we observed significant differences in the diversity and composition of the gut microbiome in R versus NR to PD1 blockade at baseline, but no clear differences in oral microbiomes. Specifically, R had a significantly higher alpha diversity compared to NR (p = 0.017). Notable differences were also seen in the composition of the gut microbiome of R versus NR. Immune profiling demonstrated significantly increased immune infiltrates in baseline tumor samples of R, with a positive correlation between CD8, CD3, PD1 and FoxP3 T-cell density and abundance of specific bacteria enriched in R (e.g. Faecalibacterium). Conclusions: Differences exist in the diversity and composition of the gut microbiome in R vs NR to anti-PD1 therapy. These results have far-reaching implications and suggest that modifications to the gut microbiome could potentially enhance therapeutic responses to immune checkpoint blockade.

2017 ◽  
Vol 35 (15_suppl) ◽  
pp. 3008-3008 ◽  
Author(s):  
Jennifer Ann Wargo ◽  
Vancheswaran Gopalakrishnan ◽  
Christine Spencer ◽  
Tatiana Karpinets ◽  
Alexandre Reuben ◽  
...  

3008 Background: Significant advances have been made in cancer therapy with immune checkpoint blockade. However, responses in pts with MM are variable, and insights are needed to identify biomarkers of response and strategies to overcome resistance. There is a growing appreciation of the role of the microbiome in cancer, and evidence in murine models that modulation of the gut microbiome may enhance responses to immune checkpoint blockade, though this has not been well studied in pts. Thus we evaluated the microbiome in a large cohort of pts with MM, focusing on responses to anti-PD-1. Methods: We collected oral (n = 234) and gut microbiome samples (n = 120) on a large cohort of of MM patients (n = 221). Of note, the majority of pts were treated with PD-1 based therapy (n = 105). Pts on anti-PD1 were classified as either responders (R) or non-responders (NR) based on RECIST criteria, and 16S rRNA and whole genome shotgun (WGS) sequencing were performed. Immune profiling (via immunohistochemistry, flow cytometry, cytokines and gene expression profiling) was also done in available pre-treatment tumors at baseline. Results: Significant differences in diversity and composition of the gut microbiome were noted in R vs NR to anti-PD-1, with a higher diversity of bacteria in R vs NR (p = 0.03). Differences were also noted in the composition of gut bacteria, with a higher abundance of Clostridiales in R and of Bacteroidales in NR. Immune profiling demonstrated increased tumor immune infiltrates in R pts , with a higher density of CD8+T cells; this correlated with abundance of specific bacteria enriched in the gut microbiome (r = 0.59, 0.014). Other features of enhanced immunity were also noted, and WGS revealed differential metabolic signatures in R vs NR. Furthermore, diversity (p = 0.009; HR = 7.67) and abundance of specific bacteria in R (p = 0.007; HR = 3.88) was associated with improved PFS to anti-PD-1 therapy. Conclusions: Diversity and composition of the gut microbiome differ in R vs NR pts with MM receiving anti-PD-1 therapy. These have potentially far-reaching implications, though results need to be validated in larger cohorts across cancer types.


2018 ◽  
Vol 24 (12) ◽  
pp. 1942-1942 ◽  
Author(s):  
Noam Auslander ◽  
Gao Zhang ◽  
Joo Sang Lee ◽  
Dennie T. Frederick ◽  
Benchun Miao ◽  
...  

2019 ◽  
Vol 10 (1) ◽  
Author(s):  
Haoxin Li ◽  
Kevin Bullock ◽  
Carino Gurjao ◽  
David Braun ◽  
Sachet A. Shukla ◽  
...  

Abstract Despite remarkable success of immune checkpoint inhibitors, the majority of cancer patients have yet to receive durable benefits. Here, in order to investigate the metabolic alterations in response to immune checkpoint blockade, we comprehensively profile serum metabolites in advanced melanoma and renal cell carcinoma patients treated with nivolumab, an antibody against programmed cell death protein 1 (PD1). We identify serum kynurenine/tryptophan ratio increases as an adaptive resistance mechanism associated with worse overall survival. This advocates for patient stratification and metabolic monitoring in immunotherapy clinical trials including those combining PD1 blockade with indoleamine 2,3-dioxygenase/tryptophan 2,3-dioxygenase   (IDO/TDO) inhibitors.


2020 ◽  
Author(s):  
Juan Luis Onieva ◽  
Javier Oliver ◽  
Aurora Laborda-Illanes ◽  
Maria Rosario Chica-Parrado ◽  
Alicia Garrido-Aranda ◽  
...  

Gut ◽  
2019 ◽  
Vol 69 (3) ◽  
pp. 569-577 ◽  
Author(s):  
Yiran Wei ◽  
Yanmei Li ◽  
Li Yan ◽  
Chunyan Sun ◽  
Qi Miao ◽  
...  

ObjectiveThe significance of the liver-microbiome axis has been increasingly recognised as a major modulator of autoimmunity. The aim of this study was to take advantage of a large well-defined corticosteroids treatment-naïve group of patients with autoimmune hepatitis (AIH) to rigorously characterise gut dysbiosis compared with healthy controls.DesignWe performed a cross-sectional study of individuals with AIH (n=91) and matched healthy controls (n=98) by 16S rRNA gene sequencing. An independent cohort of 28 patients and 34 controls was analysed to validate the results. All the patients were collected before corticosteroids therapy.ResultsThe gut microbiome of steroid treatment-naïve AIH was characterised with lower alpha-diversity (Shannon and observed operational taxonomic units, both p<0.01) and distinct overall microbial composition compared with healthy controls (p=0.002). Depletion of obligate anaerobes and expansion of potential pathobionts including Veillonella were associated with disease status. Of note, Veillonella dispar, the most strongly disease-associated taxa (p=8.85E–8), positively correlated with serum level of aspartate aminotransferase and liver inflammation. Furthermore, the combination of four patients with AIH-associated genera distinguished AIH from controls with an area under curves of approximately 0.8 in both exploration and validation cohorts. In addition, multiple predicted functional modules were altered in the AIH gut microbiome, including lipopolysaccharide biosynthesis as well as metabolism of amino acids that can be processed by bacteria to produce immunomodulatory metabolites.ConclusionOur study establishes compositional and functional alterations of gut microbiome in AIH and suggests the potential for using gut microbiota as non-invasive biomarkers to assess disease activity.


2020 ◽  
Vol Publish Ahead of Print ◽  
Author(s):  
Cristel Ruini ◽  
Carolin Haas ◽  
Sebastian Mastnik ◽  
Maximilian Knott ◽  
Lars E. French ◽  
...  

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