Gut microbes modulate host response to immune checkpoint inhibitor cancer immunotherapy

Gut microbes modulate host response to immune checkpoint inhibitor cancer immunotherapy

Kebin Liu1,2, Chunwan Lu1,2

1Department of Biochemistry and Molecular Biology, Georgia Cancer Center, Medical College of Georgia, Augusta, GA 30912, USA2Cancer Immunology, Inflammation and Tolerance Program, Georgia Cancer Center, Medical College of Georgia, Augusta, GA 30912, USA

Correspondence to: Chunwan Lu. Department of Biochemistry and Molecular Biology, Medical College of Georgia, Augusta, GA 30912, USA. Email:

Comment on: Routy B, Le Chatelier E, Derosa L, et al. Gut microbiome influences efficacy of PD-1-based immunotherapy against epithelial tumors. Science 2018;359:91-7.

Submitted Apr 23, 2018. Accepted for publication May 15, 2018.

doi: 10.21037/tcr.2018.05.37

Ever since their discovery in the1670s, and proof of their link with disease in the 1870s, bacteria have had a bad name and are often called pathogens. They are regarded as the cause of diseases and things to be avoided. However, there are an estimated 100 trillion of bacteria, ten times more than the number of cells in a human body. These commensal microbes (the microbiota) live on all surface barriers of a human body and are particularly abundant and diverse in the gut. Therefore, bacteria are something that we cannot avoid.

The good news is that not all microbes are bad. In fact, we now know that commensal microbes co-exist with human cells in a mutually beneficial way. These microbes digest food such as fiber to generate nutrients, synthesize certain vitamins among many other beneficial functions (1,2). Further extending these essential functions of gut microbiota in human health, an article in the November 2 issue of Science reported an intriguing and exciting discovery that the gut microbiota influences the efficacy of immune checkpoint inhibitor (ICI) immunotherapy against human non-small-cell-lung cancer (NSCLC) and renal cell carcinoma (RCC) (3). Cancer immunotherapy represents a breakthrough in human cancer research and treatment. For the first time in human cancer treatment history, durable and complete responses have been achieved in many types of human cancers including metastatic melanoma, RCC and NSCLC (4). However, despite this amazing advance, not all cancer patients respond to ICI immunotherapy. Various mechanisms have been explored to explain the non-response to ICI, including low tumor antigen load, low mutational burdens, poor antigen presentation, immune checkpoint-independent immune suppression and exhaustion of tumor-specific T cells (4,5). The study by Routy et al. indicates that a non-host factor, particularly a specific host gut microbe, shapes patient response to ICI immunotherapy and use of antibiotics during ICI immunotherapy may dampen patient response to the therapy. This finding not only identified a novel mechanism underlying resistance to ICI immunotherapy but also had tremendous implications in extending ICI immunotherapy benefits to those non-responding patients.

This new finding is a translation of previous findings by the same research group and others in mouse tumor models that gut microbiota modulates tumor-bearing mouse response to ICI immunotherapy (6,7). Prior to human studies, Routy et al. determined that treatment of antibiotics significantly increased tumor sizes and decreased survival of sarcoma and melanoma-bearing mice that were treated with PD-1 blockade monotherapy or combined PD-1 and CTLA-4 blockade therapies, thereby validating the critical role of host microbiota in ICI immunotherapy efficacy in mouse tumor models.

Mice are not human and observations made in mice are not always translated to human. In this case, when Routy et al. examined clinical data of patients with non-small-cell-lung cancer (n=140), renal cell carcinoma (n=67) or urothelial carcinoma (UC, n=42) who received PD-1 or PD-L1 blockade ICI immunotherapy, the result is crystal clear. Out of the 249 patients, 69 patients who were prescribed antibiotics for routine other reasons before and soon after the 1st ICI immunotherapy exhibited significantly shorter progression-free survival (PFS) and overall survival (OS) than the rest patients who did not receive antibiotics treatment. In contrast, proton pump inhibitors, a medication that can also alter the microbiota composition (8), did not affect the PFS and OS in these patients. These observations thus indicate that the microbiome modulates host response to ICI immunotherapy and that particular microbes, not the composition of microbiota, dictate the response.

It is therefore logically to identify the microbes linked to the clinical response to ICI immunotherapy. Using quantitative metagenomics by shotgun sequencing of DNA samples from stools of 100 NSCLC and RCC patients, the researchers identified Akkermansia muciniphila (A. muciniphila), a commensal species associated with the gut mucus lining, as the microbe that is most significantly associated with favorable clinical outcome in both NSCLC and RCC patients. This finding is consistent in principle with another recent report that specific commensal microbes modulate cancer patient response to ICI immunotherapy (9). However, gut microbe modulation of patient response to ICI immunotherapy might be cancer type-dependent. In melanoma patients, responders had a more diverse microbiome and more specific microbes associated with the favorable response to ICI immunotherapy than NSCLC and RCC patients (9).

These studies clearly demonstrated that gut microbiota modulate host response to ICI immunotherapy in NSCLC, RCC and melanoma patients. To establish a cause-effect relationship, mice were treated with antibiotics and then re-colonized with fecal microbiota transplantation (FMT) by patient stool to create “avatar” mice. Tumor-bearing avatar mice with FMT from clinical responder patients are sensitive whereas avatar mice with FMT from clinical non-responder patients are resistant to ICI immunotherapy. This study clearly indicates that it is the gut microbes that confer cancer patient response to ICI-unleashed T cell immunity and thus has tremendous translational implication. For example, fecal transplants or specific bacterial colonization may overcome resistance to ICI immunotherapy and extend the benefit to non-responders. In addition, simply avoiding antibiotics while undergoing ICI immunotherapy will likely increase the efficacy in responders and the response rate in non-responders. One issue remained to be solved is whether the host immune-modulating microbes are tumor-type-specific (3,9).

ICI immunotherapy works through unleashing the immune suppressed tumor-specific T cells to repress tumor growth (4,10-13). Therefore, commensals such as A. muciniphila must in some way modulate the tumor-reactive T cells either directly or indirectly (14-17). To link the gut microbial content to the systemic immune response, T cell recall memory response was tested. Circulating CD4+ and CD8+ T cells were collected from NSCLC and RCC patients under PD-1 blockade immunotherapy and co-cultured with autologous monocytes pre-incubated with distinct commensals. IFNg release was identified as the factor associated with PFS in these patients. Additionally, colonizing intestine with A. muciniphila alone or combined A. muciniphila and another commensal Enterococcus hirae reinstated the anti-tumor effect of PD-1 ICI in the melanoma and Lewes lung carcinoma mouse models. The increased anti-tumor effects are associated with accumulated central memory CD4+ T cells expressing CCR9 and/or CXCR3 in mesenteric LN, tumor-draining LN, and tumor beds, increased CD4/FoxP3 ratios in tumor and secretion of IL-12 from dendritic cells. This is indication that the specific commensal microbes shape patient response to ICI immunotherapy at least partially through modulating the host anti-tumor immune response. On the other hand, it seems that specific gut commensal bacteria may modulate the host immune response in different types of cancer through different mechanisms (3,9). An outstanding question is what are the cellular and molecular links between the commensal bacteria-elicited immune response and the tumor antigen-specific T cells in the context of ICI immunotherapy.

Tumor cells are the final targets of the ICI-unleashed cytotoxic T lymphocytes (CTLs). CTLs kill tumor cells through induction of apoptosis by the perforin/granzyme and Fas/FasL effector mechanisms (18). Therefore, for CTLs to kill tumor cells, tumor cells must be sensitive to apoptosis induction. Unfortunately, resistance to apoptosis is one of the hallmarks of human cancer cells (19,20). It is known that commensal bacteria may generate metabolites or secrete signal molecules to directly modulate tumor cell growth and apoptosis (17). Therefore, it is possible that, in addition to their immune modulatory effect, commensal microbes may also secrete modulators or generate metabolites to potentiate tumor cells sensitivity to apoptosis induction and thereby rendering cancer patient response to ICI immunotherapy, which remains to be determined.


Funding: Grant support from the National Cancer Institute, National Institutes of Health: CA133085 and CA182518 (to K Liu) and CA221414 (to C Lu).


Provenance and Peer Review: This article was commissioned and reviewed by the Section Editor Chen Qian (Center for Inflammation & Epigenetics, Houston Methodist Hospital Research Institute, Houston, USA).

Conflicts of Interest: Both authors have completed the ICMJE uniform disclosure form (available at The authors have no conflicts of interest to declare.

Ethical Statement: The authors are accountable for all aspects of the work in ensuring that questions related to the accuracy or integrity of any part of the work are appropriately investigated and resolved.

Open Access Statement: This is an Open Access article distributed in accordance with the Creative Commons Attribution-NonCommercial-NoDerivs 4.0 International License (CC BY-NC-ND 4.0), which permits the non-commercial replication and distribution of the article with the strict proviso that no changes or edits are made and the original work is properly cited (including links to both the formal publication through the relevant DOI and the license). See:


  1. Human Microbiome Project Consortium. Structure, function and diversity of the healthy human microbiome. Nature 2012;486:207-14. [Crossref] [PubMed]
  2. Human Microbiome Project Consortium. A framework for human microbiome research. Nature 2012;486:215-21. [Crossref] [PubMed]
  3. Routy B, Le Chatelier E, Derosa L, et al. Gut microbiome influences efficacy of PD-1-based immunotherapy against epithelial tumors. Science 2018;359:91-7. [Crossref] [PubMed]
  4. Zou W, Wolchok JD, Chen L. PD-L1 (B7-H1) and PD-1 pathway blockade for cancer therapy: Mechanisms, response biomarkers, and combinations. Sci Transl Med 2016;8:328rv4 [Crossref] [PubMed]
  5. Boussiotis VA. Molecular and Biochemical Aspects of the PD-1 Checkpoint Pathway. N Engl J Med 2016;375:1767-78. [Crossref] [PubMed]
  6. Vetizou M, Pitt JM, Daillere R, et al. Anticancer immunotherapy by CTLA-4 blockade relies on the gut microbiota. Science 2015;350:1079-84. [Crossref] [PubMed]
  7. Sivan A, Corrales L, Hubert N, et al. Commensal Bifidobacterium promotes antitumor immunity and facilitates anti-PD-L1 efficacy. Science 2015;350:1084-9. [Crossref] [PubMed]
  8. Jackson MA, Goodrich JK, Maxan ME, et al. Proton pump inhibitors alter the composition of the gut microbiota. Gut 2016;65:749-56. [Crossref] [PubMed]
  9. Gopalakrishnan V, Spencer CN, Nezi L, et al. Gut microbiome modulates response to anti-PD-1 immunotherapy in melanoma patients. Science 2018;359:97-103. [Crossref] [PubMed]
  10. Hui E, Cheung J, Zhu J, et al. T cell costimulatory receptor CD28 is a primary target for PD-1-mediated inhibition. Science 2017;355:1428-33. [Crossref] [PubMed]
  11. Keir ME, Butte MJ, Freeman GJ, et al. PD-1 and its ligands in tolerance and immunity. Annu Rev Immunol 2008;26:677-704. [Crossref] [PubMed]
  12. Hirano F, Kaneko K, Tamura H, et al. Blockade of B7-H1 and PD-1 by monoclonal antibodies potentiates cancer therapeutic immunity. Cancer Res 2005;65:1089-96. [PubMed]
  13. Lu C, Paschall AV, Shi H, et al. The MLL1-H3K4me3 Axis-Mediated PD-L1 Expression and Pancreatic Cancer Immune Evasion. J Natl Cancer Inst 2017;109. [PubMed]
  14. Gopalakrishnan V, Helmink BA, Spencer CN, et al. The influence of the gut microbiome on cancer, immunity, and cancer immunotherapy. Cancer Cell 2018;33:570-80. [Crossref] [PubMed]
  15. Levy M, Kolodziejczyk AA, Thaiss CA, et al. Dysbiosis and the immune system. Nat Rev Immunol 2017;17:219-32. [Crossref] [PubMed]
  16. Malaisé Y, Menard S, Cartier C, et al. Gut dysbiosis and impairment of immune system homeostasis in perinatally-exposed mice to Bisphenol A precede obese phenotype development. Sci Rep 2017;7:14472. [Crossref] [PubMed]
  17. Dzutsev A, Badger JH, Perez-Chanona E, et al. Microbes and cancer. Annu Rev Immunol 2017;35:199-228. [Crossref] [PubMed]
  18. Kagi D, Vignaux F, Ledermann B, et al. Fas and perforin pathways as major mechanisms of T cell-mediated cytotoxicity. Science 1994;265:528-30. [Crossref] [PubMed]
  19. Hanahan D, Weinberg RA. Hallmarks of cancer: the next generation. Cell 2011;144:646-74. [Crossref] [PubMed]
  20. Lu C, Yang D, Sabbatini ME, et al. Contrasting roles of H3K4me3 and H3K9me3 in regulation of apoptosis and gemcitabine resistance in human pancreatic cancer cells. BMC Cancer 2018;18:149. [Crossref] [PubMed]
Cite this article as: Liu K, Lu C. Gut microbes modulate host response to immune checkpoint inhibitor cancer immunotherapy. Transl Cancer Res 2018;7(Suppl 5):S608-S610. doi: 10.21037/tcr.2018.05.37

Download Citation