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Dissecting the Impact of the Gut Microbiome on Cancer Immunotherapy.
Jain, Rakesh; Hadjigeorgiou, Andreas; Harkos, Constantinos; Mishra, Aditya; Morad, Golnaz; Johnson, Sarah; Ajami, Nadim; Wargo, Jennifer; Munn, Lance; Stylianopoulos, Triantafyllos.
Afiliação
  • Jain R; Massachusetts General Hospital and Harvard Medical School.
  • Hadjigeorgiou A; University of Cyprus.
  • Harkos C; University of Cyprus.
  • Mishra A; The University of Texas MD Anderson Cancer Center.
  • Morad G; The University of Texas MD Anderson Cancer Center.
  • Johnson S; The University of Texas MD Anderson Cancer Center.
  • Ajami N; The University of Texas MD Anderson Cancer Center.
  • Wargo J; The University of Texas MD Anderson Cancer Center.
  • Munn L; Massachusetts General Hospital and Harvard Medical School.
  • Stylianopoulos T; University of Cyprus.
Res Sq ; 2023 Nov 30.
Article em En | MEDLINE | ID: mdl-38076985
ABSTRACT
The gut microbiome has emerged as a key regulator of response to cancer immunotherapy. However, there is a gap in our understanding of the underlying mechanisms by which the microbiome influences immunotherapy. To this end, we developed a mathematical model based on i) gut microbiome data derived from preclinical studies on melanomas after fecal microbiota transplant, ii) mechanistic modeling of antitumor immune response, and iii) robust association analysis of murine and human microbiome profiles with model-predicted immune profiles. Using our model, we could distill the complexity of these murine and human studies on microbiome modulation in terms of just two model parameters the activation and killing rate constants of immune cells. We further investigated associations between specific bacterial taxonomies and antitumor immunity and immunotherapy efficacy. This model can guide the design of studies to refine and validate mechanistic links between the microbiome and immune system.
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Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2023 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2023 Tipo de documento: Article