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Poster Display session 3

5543 - Prior tyrosine kinase inhibitors (TKI) and antibiotics (ATB) use are associated with distinct gut microbiota ‘guilds’ in renal cell carcinoma (RCC) patients

Date

30 Sep 2019

Session

Poster Display session 3

Topics

Renal Cell Cancer

Presenters

Valerio Iebba

Citation

Annals of Oncology (2019) 30 (suppl_5): v356-v402. 10.1093/annonc/mdz249

Authors

V. Iebba1, L. Albiges2, L. Alla3, E. Colomba2, C. Alves Costa Silva2, N. Pons3, G. Baciarello2, E. Le Chatelier3, K. Fizazi4, B. Routy5, B. Escudier2, L. Zitvogel1, L. Derosa1

Author affiliations

  • 1 U1015, Institut Gustave Roussy, 94805 - Villejuif/FR
  • 2 Medical Oncology, Institut Gustave Roussy, 94805 - Villejuif/FR
  • 3 Mgp Metagénopolis, Centre De Recherche, INRA French National, Jouy-en-Josas/FR
  • 4 Institut Gustave Roussy, University of Paris Sud, 94805 - Villejuif/FR
  • 5 Chum, University of Montreal Research Center, H2X 3H8 - Montreal/CA
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Resources

Abstract 5543

Background

Evidence suggests that ATB and gut microbiota composition are associated to anti-PD-1 outcomes in RCC patients. Network analysis of the gut microbiota represents a novel tool to determine “guilds” of bacterial communities.

Methods

Here, we investigated guilds’ relationships with prior exposure to ATB, TKI [axitinib (axi), sunitinib (suni) or other] and clinical outcomes of RCC patients treated with nivolumab (nivo).

Results

Considering prior exposure to ATB (n = 11, 22%), axi (n = 13, 19%), suni (n = 49, 71%) or other TKI (n = 20, 29%), n = 36 (52%) patients were NR and 33 (48%) R to nivo. Cross-validation of overall fecal microbiota composition stratified RCC patients with different predictive power (ATB=84%; axi=81%; suni=69%; outcome=49%). Network analysis revealed six guilds (G1 to G6). G1-G2 behaved in an opposite way and topologically separated by negative correlations. G1-G2 were both related to NR, while G1 was dominated by species related to ATB. Conversely G2 was mainly represented by species related to no ATB (X2=8.98, P = 0.0027) and more susceptible to prior TKI exposure (where axi and suni behaved in an opposite way) compared to the other guilds (X2=10.68, P = 0.0011). G4 was mainly inhabited by species related to other TKI (no axi and no suni). Random forest analysis found definite bacterial species able to drive the stratification into guilds of the global RCC network, such as Akkermansia muciniphila for R and Dorea formicigenerans for no ATB.

Conclusions

We show that ATB and suni are the most powerful external features able to drive fecal microbiota compositional shifts in RCC patients treated with nivo. Analysis of the gut microbiota using bacterial communities guilds provides a novel theranostic approach to stratify RCC patients.

Clinical trial identification

Editorial acknowledgement

Legal entity responsible for the study

The authors.

Funding

Has not received any funding.

Disclosure

L. Albiges: Honoraria (self): Novartis, BMS, Amgen, Ipsen, Roche, Pfizer, Astellas, Merck. K. Fizazi: Advisory / Consultancy: Participation to advisory boards/honorarium for: Astellas, AAA, Bayer, Clovis, Curevac, Incyte, Janssen, MSD, Orion, Sanofi. B. Escudier: Advisory / Consultancy: IPSEN, BMS, AZ, Novartis, Roche, Oncorena. L. Zitvogel: Advisory / Consultancy: BMS, AstraZeneca,; Research grant / Funding (self): Incyte, GSK, Transgene, Innovate Biopharma, Pilege; Advisory / Consultancy: Everimmune. All other authors have declared no conflicts of interest.

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