Literature DB >> 35028621

More fuel for the fire: Gut microbes and toxicity to immune agonist antibodies in cancer.

Manoj Chelvanambi1, Jennifer A Wargo1,2.   

Abstract

Microbes in the gut impact response, resistance, and toxicity to numerous cancer therapies, though mechanisms remain incompletely understood. Blake et al. provide further evidence that gut microbes promote toxicity to immune-agonistic antibodies, with opportunities to target these in cancer treatment.1.
© 2021 The Author(s).

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Year:  2021        PMID: 35028621      PMCID: PMC8715066          DOI: 10.1016/j.xcrm.2021.100482

Source DB:  PubMed          Journal:  Cell Rep Med        ISSN: 2666-3791


Main text

T cells possess a remarkable ability to recognize and reject transformed cancer cells; however, this is often attenuated by tolerogenic “off” signals within the tumor microenvironment (TME). These inhibitory signals originate from inhibitory immune cells such as regulatory T cell (Treg), myeloid derived suppressor cells (MDSC), and tumor associated macrophages (TAM), and also include immunomodulatory checkpoint proteins such as PD-L1/PD-1 and CTLA-4 on tumors and immune cells that can suppress T cell-mediated tumor rejection. In this light, many of the current approved strategies to enhance anti-tumor immunity involve the use of immune checkpoint blocking (ICB) antibodies against these checkpoint molecules to reinvigorate T cell activity within the TME. Similarly, anti-tumor T cell activation may be augmented via the use of immune agonist antibodies (IAA) targeting immunostimulatory ligands, such as ICOS, OX40, CD40, and 4-1BB. While both these classes of antibodies have significantly improved clinical outcomes in cancer patients, they have failed to reach their full potential due to frequent treatment-limiting clinical toxicities, including acute liver damage and strong systemic inflammation. Therefore, there is a critical need for (1) identifying novel predictive biomarkers of response and toxicity to antibody-based immunotherapies and (2) elucidating basic mechanisms responsible for these phenomena to improve the future clinical impact of antibody-based immunotherapies. An emerging biomarker and potential therapeutic target in response and toxicity to cancer treatment, particularly with regard to immune checkpoint blockade, is the human microbiome. A large fraction of the trillions of microbes inhabiting the human body reside in the gastrointestinal tract (gut) where they contribute to normal host physiology. Critically, the gut is also host to a dense network of immune cells and fosters constant and dynamic interactions between microbes and host immune cells to induce tolerance to many of these microbes so that they can facilitate their critical normal function. Groundbreaking studies published in 2018 demonstrated that responders and non-responders to ICB regimen in cancer had different and distinct gut microbial signatures, with a higher diversity of gut microbes and specific taxa associated with response.,, Mechanistic studies suggest that gut microbes play a key role in immune activation in the tumor microenvironment, including via c-di-AMP-mediated activation of the STING-IFN-I pathway (especially in NK cells), to promote robust anti-tumor immune responses (Figure 1). However, excessive immune activation with combined immune checkpoint blockade (CICB; anti-PD-1 and anti-CTLA-4) may drive immune-related adverse events (irAE), and gut microbes may contribute to this through stimulation of cytokines such as IL-1B and IL-6, with options to therapeutically target these. However, gut microbes have been less well-studied in the context of treatment with IAAs.
Figure 1

Friends or foes: gut microbes in cancer immunotherapy

Commensal gut microbes actively shape systemic and anti-tumor immune responses. Elegant mechanistic studies have now identified host targets through which gut microbes mediate anti-tumor immune responses to ICB via STING-mediated interferon signaling (gray arrow). Additionally, Blake et al. show that gut microbes drive hepatotoxicity and cytokine release syndrome (CRS) to immune agonist antibodies (IAA) via MyD88 and other mechanisms in pre-clinical models (red arrow), with therapeutic targeting of gut microbes (via antibiotic treatment in this case) associated with reduced toxicity to therapy

Friends or foes: gut microbes in cancer immunotherapy Commensal gut microbes actively shape systemic and anti-tumor immune responses. Elegant mechanistic studies have now identified host targets through which gut microbes mediate anti-tumor immune responses to ICB via STING-mediated interferon signaling (gray arrow). Additionally, Blake et al. show that gut microbes drive hepatotoxicity and cytokine release syndrome (CRS) to immune agonist antibodies (IAA) via MyD88 and other mechanisms in pre-clinical models (red arrow), with therapeutic targeting of gut microbes (via antibiotic treatment in this case) associated with reduced toxicity to therapy In this issue of Cell Reports Medicine, Blake et al. present compelling evidence from pre-clinical models suggesting a potential mechanism through which the gut microbiota influences systemic immunity and exacerbates toxicity in the setting of treatment with anti-CD40 and anti-CD137 IAAs. Briefly, the authors demonstrate that in the context of treatment with CD40 IAAs, the presence of diverse gut flora leads to a MyD88-dependent activationof the host immune system, especially macrophages, which results in the rapid production of inflammatory cytokines such as TNFa, IL-6, and IFN-I and an acute induction of macrophage- and neutrophil-dependent liver damage. Interestingly, toxicity observed with CD137 IAAs also appears to converge at the level of host MyD88 activation by gut microbiota, which results in a CD8 T cell-dependent liver damage and IFNg-driven systemic inflammation (Figure 1). Importantly, toxicity to IAA therapy was reduced in germ-free or antibiotic-treated mice in this model without a deleterious impact on anti-tumor immunity. Thus, toxicity associated with IAA treatment may relate to activation of these usually microbe-tolerant T lymphocytes and other cellular subsets that are interacting with microbes in the gut and in other tissues. However, extensive characterization of the gut microbiota for potentially causative taxa or specific mechanisms involved was not performed in these studies, leaving room for further studies interrogating the role of specific taxa (or functional aspects of gut microbes) associated with toxicity on treatment with IAAs. While it might be tempting to combine antibiotics with IAA ± ICB in light of this data, it is important to note that other hallmark studies have shown that microbiome depletion using broad-spectrum antibiotics prior to immunotherapy significantly worsens clinical outcomes., This dichotomy suggests that the manipulation of patient gut microbiota (using antibiotics or probiotics) to enhance response to ICB is a complex approach and one that needs to be determined on a per-patient basis by skilled oncologists. Importantly, specific, druggable proteins identified by deep mechanistic studies such as the ones discussed above can circumvent some of the complexities associated with the antibiotic-based combination regimen. Finally, gut microbes may ultimately exert their influence on response, resistance, and toxicity by functioning as a consortium rather than as independent species as is also shown by Blake et al. Therefore, future studies using multi-omics approaches to identify consortium-derived metabolites, secretory proteins, and cytokines/chemokines may be critical in parlaying these interesting clinical findings into next-gen microbe-based translational therapies. Nonetheless, the future is bright and there is a great deal to be learned about the influence of gut and other microbes on immunity and overall health.
  9 in total

1.  The commensal microbiome is associated with anti-PD-1 efficacy in metastatic melanoma patients.

Authors:  Vyara Matson; Jessica Fessler; Riyue Bao; Tara Chongsuwat; Yuanyuan Zha; Maria-Luisa Alegre; Jason J Luke; Thomas F Gajewski
Journal:  Science       Date:  2018-01-05       Impact factor: 47.728

Review 2.  Modulating the microbiome to improve therapeutic response in cancer.

Authors:  Jennifer L McQuade; Carrie R Daniel; Beth A Helmink; Jennifer A Wargo
Journal:  Lancet Oncol       Date:  2019-02       Impact factor: 41.316

3.  Immune agonist antibodies face critical test.

Authors:  Ken Garber
Journal:  Nat Rev Drug Discov       Date:  2020-01       Impact factor: 84.694

4.  Gut microbiome modulates response to anti-PD-1 immunotherapy in melanoma patients.

Authors:  V Gopalakrishnan; C N Spencer; L Nezi; A Reuben; M C Andrews; T V Karpinets; P A Prieto; D Vicente; K Hoffman; S C Wei; A P Cogdill; L Zhao; C W Hudgens; D S Hutchinson; T Manzo; M Petaccia de Macedo; T Cotechini; T Kumar; W S Chen; S M Reddy; R Szczepaniak Sloane; J Galloway-Pena; H Jiang; P L Chen; E J Shpall; K Rezvani; A M Alousi; R F Chemaly; S Shelburne; L M Vence; P C Okhuysen; V B Jensen; A G Swennes; F McAllister; E Marcelo Riquelme Sanchez; Y Zhang; E Le Chatelier; L Zitvogel; N Pons; J L Austin-Breneman; L E Haydu; E M Burton; J M Gardner; E Sirmans; J Hu; A J Lazar; T Tsujikawa; A Diab; H Tawbi; I C Glitza; W J Hwu; S P Patel; S E Woodman; R N Amaria; M A Davies; J E Gershenwald; P Hwu; J E Lee; J Zhang; L M Coussens; Z A Cooper; P A Futreal; C R Daniel; N J Ajami; J F Petrosino; M T Tetzlaff; P Sharma; J P Allison; R R Jenq; J A Wargo
Journal:  Science       Date:  2017-11-02       Impact factor: 47.728

5.  Gut microbiome influences efficacy of PD-1-based immunotherapy against epithelial tumors.

Authors:  Bertrand Routy; Emmanuelle Le Chatelier; Lisa Derosa; Connie P M Duong; Maryam Tidjani Alou; Romain Daillère; Aurélie Fluckiger; Meriem Messaoudene; Conrad Rauber; Maria P Roberti; Marine Fidelle; Caroline Flament; Vichnou Poirier-Colame; Paule Opolon; Christophe Klein; Kristina Iribarren; Laura Mondragón; Nicolas Jacquelot; Bo Qu; Gladys Ferrere; Céline Clémenson; Laura Mezquita; Jordi Remon Masip; Charles Naltet; Solenn Brosseau; Coureche Kaderbhai; Corentin Richard; Hira Rizvi; Florence Levenez; Nathalie Galleron; Benoit Quinquis; Nicolas Pons; Bernhard Ryffel; Véronique Minard-Colin; Patrick Gonin; Jean-Charles Soria; Eric Deutsch; Yohann Loriot; François Ghiringhelli; Gérard Zalcman; François Goldwasser; Bernard Escudier; Matthew D Hellmann; Alexander Eggermont; Didier Raoult; Laurence Albiges; Guido Kroemer; Laurence Zitvogel
Journal:  Science       Date:  2017-11-02       Impact factor: 47.728

6.  Association of Prior Antibiotic Treatment With Survival and Response to Immune Checkpoint Inhibitor Therapy in Patients With Cancer.

Authors:  David J Pinato; Sarah Howlett; Diego Ottaviani; Heather Urus; Aisha Patel; Takashi Mineo; Cathryn Brock; Danielle Power; Olivia Hatcher; Alison Falconer; Manasi Ingle; Anna Brown; Dorothy Gujral; Sarah Partridge; Naveed Sarwar; Michael Gonzalez; Maggie Bendle; Conrad Lewanski; Thomas Newsom-Davis; Elias Allara; Mark Bower
Journal:  JAMA Oncol       Date:  2019-12-01       Impact factor: 31.777

7.  Microbiota triggers STING-type I IFN-dependent monocyte reprogramming of the tumor microenvironment.

Authors:  Khiem C Lam; Romina E Araya; April Huang; Quanyi Chen; Martina Di Modica; Richard R Rodrigues; Amélie Lopès; Sarah B Johnson; Benjamin Schwarz; Eric Bohrnsen; Alexandria P Cogdill; Catharine M Bosio; Jennifer A Wargo; Maxwell P Lee; Romina S Goldszmid
Journal:  Cell       Date:  2021-10-07       Impact factor: 66.850

8.  Negative association of antibiotics on clinical activity of immune checkpoint inhibitors in patients with advanced renal cell and non-small-cell lung cancer.

Authors:  L Derosa; M D Hellmann; M Spaziano; D Halpenny; M Fidelle; H Rizvi; N Long; A J Plodkowski; K C Arbour; J E Chaft; J A Rouche; L Zitvogel; G Zalcman; L Albiges; B Escudier; B Routy
Journal:  Ann Oncol       Date:  2018-06-01       Impact factor: 32.976

9.  Gut microbiota signatures are associated with toxicity to combined CTLA-4 and PD-1 blockade.

Authors:  Miles C Andrews; Connie P M Duong; Vancheswaran Gopalakrishnan; Valerio Iebba; Wei-Shen Chen; Lisa Derosa; Md Abdul Wadud Khan; Alexandria P Cogdill; Michael G White; Matthew C Wong; Gladys Ferrere; Aurélie Fluckiger; Maria P Roberti; Paule Opolon; Maryam Tidjani Alou; Satoru Yonekura; Whijae Roh; Christine N Spencer; Irina Fernandez Curbelo; Luis Vence; Alexandre Reuben; Sarah Johnson; Reetakshi Arora; Golnaz Morad; Matthew Lastrapes; Erez N Baruch; Latasha Little; Curtis Gumbs; Zachary A Cooper; Peter A Prieto; Khalida Wani; Alexander J Lazar; Michael T Tetzlaff; Courtney W Hudgens; Margaret K Callahan; Matthew Adamow; Michael A Postow; Charlotte E Ariyan; Pierre-Olivier Gaudreau; Luigi Nezi; Didier Raoult; Catalin Mihalcioiu; Arielle Elkrief; Rossanna C Pezo; Lauren E Haydu; Julie M Simon; Hussein A Tawbi; Jennifer McQuade; Patrick Hwu; Wen-Jen Hwu; Rodabe N Amaria; Elizabeth M Burton; Scott E Woodman; Stephanie Watowich; Adi Diab; Sapna P Patel; Isabella C Glitza; Michael K Wong; Li Zhao; Jianhua Zhang; Nadim J Ajami; Joseph Petrosino; Robert R Jenq; Michael A Davies; Jeffrey E Gershenwald; P Andrew Futreal; Padmanee Sharma; James P Allison; Bertrand Routy; Laurence Zitvogel; Jennifer A Wargo
Journal:  Nat Med       Date:  2021-07-08       Impact factor: 87.241

  9 in total

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