Chapter 07

The unsolved problem of antibiotics in immuno-oncology

Not only do antibiotics impair the ability of patients’ bodies to fight infection, they also impair the ability to fight cancerous malignancy.

The introduction of immuno-oncology in the past decade and a half revolutionized cancer care. The big idea is to harness the power of the immune system to kill cancer, instead of using cytotoxic chemotherapy agents. The most successful class of these agents, the PD-1 inhibitors (also known as checkpoint inhibitors), work by “releasing the brake” from immune cells. PD-1 inhibitors have brought many solid tumor cancer patients into complete remission, treating tumors where medicine previously had little to offer. In the process, they have become some of the best-selling drugs of all time.

In a surprise finding, patients who receive antibiotics at the beginning of their PD-1 course of treatment find that the PD-1 no longer works against cancer. The rationale: immuno-oncology drugs rely on a healthy immune system. Antibiotics damage the gut microbiome, and the tight linkage between microbiome and immune system means that a damaged gut microbiome leads to a dysfunctional immune system.

As the oncology world moves increasingly towards more sophisticated immunotherapies, and more patients receive these treatments, a non-antibiotic treatment for bacterial infection will become increasingly important. We do not want to find ourselves in a position where cancer patients receive highly effective, modern oncology therapies but succumb to infection treated with antibiotics developed in the middle of the 20th Century.

To be more concrete with the evidence, we start with the clinical observation that patients receiving antibiotics up to 2 months prior and as late as 1 month after starting their immuno-oncology regimen show remarkably different survival outcomes. For the sake of illustration, one of the more dramatic study results is shown in Figure 14, taken from the work of Pinato and colleagues.172 These findings have been consistently repeated across the solid tumor cancer types treated with PD-1 inhibitors. A meta-analysis that incorporated 41,663 patients found a consistent, pronounced immuno-oncology impairment in both overall survival and progression-free survival in non-small cell lung cancer, urothelial cancer, melanoma, renal cell carcinoma, hepatocellular carcinoma, and others.173 Results like this underline a strong and consistent clinical observation of immuno-oncology impairment correlated with antibiotic therapy at the beginning or two months before checkpoint inhibitor therapy.

0.0 0.2 0.4 0.6 0.8 1.0 0 10 20 30 40 50 Log-rank P < 0.001 No prior antibiotic therapy (up to 2 months) Prior antibiotic therapy (up to 2 months) Time (months) Survival (%)
Figure 14. Kaplan-Meier curve of a prospective study reported in JAMA Oncology comparing survival between cancer patients who did (N=29) and did not (N=166) receive antibiotic therapy in the two-month window prior to initiating PD-1 therapy. Patients included those with non-small cell lung cancer (N=119), melanoma (N=38), and other tumor types (N=39). Overall survival for those who did not receive antibiotics was 26 months, vs 2 months for those who did receive antibiotics (p < 0.001). Work performed by Pinato and colleagues.

The correlation is striking, but an obvious possible confounding variable is that patients who receive antibiotics are often sicker, with more comorbidities, than those who do not. The difference in survival could simply be that the antibiotic subgroup of patients is more frail. To evaluate correlation versus causation in this setting, Genentech studied the results from their Phase 3 programs for atezolizumab, their checkpoint inhibitor. In these studies, they had compared efficacy of atezolizumab head-to-head with the chemotherapy drug docetaxel in non-small cell lung cancer patients. They reasoned that patients in both groups would have received antibiotics. If the antibiotic subgroup is simply a sicker group of patients, then these patients should succumb faster in the chemotherapy group, too. What they found was the opposite: a non-significant difference in the chemotherapy group, but a significant difference in the atezolizumab group (see Table 2).174 This finding supports the hypothesis that antibiotics interfere mechanistically with checkpoint inhibitors. It has been replicated in other major studies,175 including a prospectively evaluated study in gastric cancer patients (see Figure 15).176

Median overall survival (months)
Antibiotic exposure No antibiotic exposure
Atezolizumab (Tecentriq) 8.54 14.06
Docetaxel 9.10 10.28
Table 2. Impact of prior antibiotic therapy on non-small cell lung cancer overall survival in checkpoint inhibitor patients (atezolizumab) versus chemotherapy patients (docetaxel). The difference in the chemotherapy group is non-significant. Work done by Chalabi and colleagues at Genentech.
IRINOTECAN COHORTProgression-free survival050100081624PFS (%)HR 1.091 (95% CI 0.728–1.635)P = 0.6695Overall survival050100081624OS (%)HR 1.288 (95% CI 0.856–1.940)P = 0.2227PD-1 PROSPECTIVE COHORTProgression-free survival050100081624PFS (%)Time of treatment (months)No prior antibioticsPrior antibioticsOverall survival050100081624OS (%)Time of treatment (months)
Figure 15. Gastric cancer patients receiving antibiotics versus no antibiotics. The top row shows progression free survival and overall survival for chemotherapy patients. Antibiotics have no discernible impact on outcomes. The bottom row shows a prospectively evaluated PD-1 cohort. Prior antibiotic therapy exerts a clear detrimental effect on PD-1 outcomes. Work performed by Kim and colleagues.

Furthermore, laboratory studies in mice recapitulate the effect and build the case for a mechanistic understanding of the link between a healthy microbiome and a functioning immune system. In a study conducted at a leading PD-1 lab at Dana Farber, mice required a healthy microbiome for their checkpoint inhibitor therapy to control tumor growth (see Figure 16).177

020040060080071013162023Days after tumor implantationTumor volume (mm³)Antibiotics aloneAntibiotics + Healthy microbiomeAntibiotics + αPD-L1Antibiotics + Healthy microbiome + αPD-L1
Figure 16. Study from Dana Farber using MC38 colon carcinoma tumor growth in mice treated with broad-spectrum antibiotics versus mice reconstituted with healthy human microbiota. Anti-PD-L1 therapy effectively controls tumor growth only in mice with intact microbiome. Reconstitution with healthy microbiota restores checkpoint inhibitor responsiveness. Work performed by Park and colleagues.

Tightening the causal chain, the microbiomes of PD-1 responders carry distinct signatures from non-responders, relatively depleted in some species and enriched in others (see Figure 17).20,21,178 The non-responders lack strains corresponding to those most susceptible to antibiotics, primarily anaerobes.21 Furthermore, not all antibiotics have a negative impact on PD-1 outcomes, but rather those with broader spectrum and those more likely to deplete anaerobes.21 These differences carry through to peripheral T cell populations, linking antibiotic-induced anaerobe depletion to reduced T cell function (see Figure 18).21 Mechanistically, this helps explain why antibiotics can abrogate immuno-oncology therapeutic agents reliant on functioning T cells. The detailed workings of the mechanism underlying the gut-immune linkage remains an active field of investigation as researchers seek to understand the molecular basis of the gut-immune relationship.

ENRICHED IN RESPONDERSAkkermansia muciniphilaCAG00453, unclassifiedFirmicutes (CAG01245)Eubacterium sp. CAG:146Lachnospiraceae (CAG00871)unclassified Firmicutes (CAG01090)Erysipelotrichaceae bacterium 5_2_54FAACloacibacillus porcorumEnterococcus faeciumIntestinimonas (CAG00363)CAG01227, unclassifiedunclassified Clostridiales (CAG00821)Alistipes (CAG00646)unclassified Firmicutes (CAG01223)Bacteroides sp. CAG:661Alistipes indistinctusFirmicutes bacterium CAG:552Firmicutes (CAG00892)Prevotella (CAG00530)unclassified Clostridiales (CAG00391)unclassified Firmicutes (CAG00676)unclassified Firmicutes (CAG01308)ENRICHED IN NON-RESPONDERSParabacteroides distasonisBacteroides nordiiBlautia (CAG00065)Proteobacteria (CAG00835)Bacteroides clarusBlautia (CAG01214)Clostridiales bacterium VE202-14Firmicutes bacterium CAG:227Clostridium bolteaeClostridiales (CAG00048_1)Clostridiales (CAG00137)CAG01161, unclassifiedCAG00308, unclassifiedPrevotella sp. CAG:617unclassified Firmicutes (CAG00658)Clostridium sp. CAG:921Prevotella (CAG01004)unclassified Clostridiales (CAG01112)
Figure 17. Microbiome analysis of PD-1 patients. The microbiomes of PD-1 responders are highly likely to be enriched in the species listed in navy, while the microbiomes of non-responders are highly likely to be enriched in the species shown in gold. For our purposes here, the individual strains are not as important as showing the distinct microbiome signatures correlated with PD-1 responders and non-responders. Antibiotics with anaerobic coverage tend to remove microbial species necessary for PD-1 response. Work performed by Routy and colleagues.
CD3 T cells / µL 0100020003000 p = 0.11 CD4 T cells / µL 0200400600800 p = 0.002 CD8 T cells / µL 0500100015002000 p = 0.42 None / low-risk antibioticsHigh-risk antibiotics
Box: interquartile range and median. Whiskers: range of observations. Individual values as reported in the source.
Figure 18. CAR-T, another form of immune-oncology, exhibits similar features with respect to antibiotics. Here, antibiotics significantly reduce circulating CD4 T cell populations and show a trend to reduction for CD3 and CD8 T cells. Work performed by Stein-Thoeringer and colleagues.

About 150,000 US patients every year receive checkpoint inhibitors for their cancer diagnoses.*179 Their PD-1 treatment typically costs $150,000 per patient.180 About 30% of these patients require antibiotic treatment, which measurably worsens their cancer.20,173 From a financial standpoint, treating these patients with generic antibiotics costs a few dollars and wastes tens or hundreds of thousands already spent on their cancer care.

Solid tumor patients on PD-1 therapy have well-documented, elevated rates of community infection driven by their underlying disease and demographics. Non-small cell lung cancer patients are at disproportionate risk for respiratory infection. Post-menopausal women (the majority of female PD-1 recipients) face chronically elevated UTI risk.181–183 See Table 3 for common infections contracted by PD-1 patients.

Infection type
Share of infections
Respiratory
50–60%
Urinary tract
15–25%
Skin & soft tissue
15–20%
Table 3. Share of infection diagnoses in PD-1 patients.

Infectious disease guidelines explicitly classify malignancy as a comorbidity that escalates empiric antibiotic selection.30,184,185 A community infection that would receive narrow-spectrum treatment in a healthy adult receives broader, more potent coverage in a cancer patient, by guideline.

We envision that bacterial defense disablers could be the modern infection control medicine that complements immuno-oncology. Like the PD-1 medicines, bacterial defense disablers rely on the exquisite power of the immune system to identify pathogens. Like the PD-1 inhibitors with cancer, bacterial defense disablers make the immune system more able to clear infection. Because bacterial defense disablers do not damage the microbiome, they would not interfere with the gut-immune axis necessary for PD-1 efficacy. Bacterial defense disablers could be given in response to an infection, or more likely, could be given in a preventive sense, in the way that colony stimulating factors are already given to chemotherapy patients to reduce infection risk. Colony stimulating factors are a cornerstone of many chemotherapy treatment protocols, allowing patients to be treated in outpatient settings because of their reduced infection risk. As such, they collectively provide more than $4B in revenue each year. Immuno-oncology needs a new paradigm for infection control. The product that meets that need will be valuable for patients and shareholders alike.