Gut bacteria affect the tumoral immune milieu: distorting the efficacy of immunotherapy or not

Pu Xiaoyu1, Ge Chao1, Dong Lihua1,2

  • 1Department of Radiation Oncology & Therapy, Jilin Provincial Key Laboratory of Radiation Oncology & Therapy, The First Hospital of Jilin University , Changchun, China.

Gut Microbes
|March 29, 2020
PubMed

Insights

Gut bacteria influence cancer immunotherapy effectiveness. Analyzing gut microbes can predict patient response and side effects, aiding treatment decisions for immune-checkpoint inhibitors.

Area of Science:

  • Oncology
  • Microbiology
  • Immunology

Background:

  • Immune-checkpoint inhibitors are transforming cancer treatment.
  • Lack of predictive biomarkers limits immunotherapy application in some patients.
  • Gut commensal bacteria are increasingly recognized for their role in modulating treatment efficacy.

Purpose of the Study:

  • To review the impact of gut commensal bacteria on the tumor immune microenvironment.
  • To highlight specific bacteria associated with immune-checkpoint inhibitor therapy.
  • To discuss the predictive value of gut microbiota composition for immunotherapy outcomes.

Main Methods:

  • Literature review of studies investigating the gut microbiome and cancer immunotherapy.
  • Analysis of existing data on bacterial species and their correlation with treatment response.
  • Synthesis of findings on the mechanisms by which gut bacteria influence the tumor immune milieu.

Main Results:

  • Gut commensal bacteria composition significantly affects the efficacy of immune-checkpoint inhibitors.
  • Specific bacterial species have been associated with improved or diminished responses to immunotherapy.
  • Microbiome analysis can help predict patient response and potential toxicity of cancer immunotherapy.

Conclusions:

  • Gut commensal bacteria play a crucial role in the efficacy of immune-checkpoint inhibitors.
  • Targeting or modulating the gut microbiome may enhance cancer immunotherapy outcomes.
  • Microbiome profiling represents a promising avenue for developing predictive biomarkers for immunotherapy.

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