Literature DB >> 34336290

Association of Antibiotics and Other Drugs with Clinical Outcomes in Metastatic Melanoma Patients Treated with Immunotherapy.

Manish D Angrish1, Arun Agha2, Rossanna C Pezo2,3,4.   

Abstract

Immune checkpoint inhibitors (ICIs) targeting the programmed cell death protein-1 (PD-1) and programmed cell death ligand-1 (PD-L1) have improved survival in many advanced cancers including advanced melanoma, renal cell, urothelial, and non-small-cell lung cancers. However, not all patients respond, and immune-related adverse events (irAEs) are common. Commensal gut bacteria may serve as an immunoregulatory link-mediating ICI response and toxicity. Recent studies have shown that a lack of bacterial diversity, known as gut dysbiosis, can have an adverse impact on patients' response to ICIs and predispose to the development of irAEs. Data were collected from 167 patients with metastatic melanoma who received antibiotics within 30 days prior to and/or after initiation of ICI and patients who received NSAIDs, statins, steroids, or proton-pump inhibitors (PPI) within 30 days prior to ICI initiation. The primary outcome was time-to-discontinuation (TTD) of ICI therapy, measured from the date of ICI initiation to the last treatment date. The secondary outcome of interest was toxicity, with incidence of irAEs graded as per the Common Terminology Criteria for Adverse Events (CTCAE), version 5.0. Here, we demonstrate that individuals who received antibiotics had a significantly shorter time-to-discontinuation (TTD) of the ICI therapy as opposed those who were not administered antibiotics. Consistent with results from previous research, we propose that antibiotics have a negative effect on a patient's response to ICI therapy, most likely due to the result of gut dysbiosis, and should be critically assessed in terms of their use in patients undergoing ICI treatment.
Copyright © 2021 Manish D. Angrish et al.

Entities:  

Year:  2021        PMID: 34336290      PMCID: PMC8324393          DOI: 10.1155/2021/9120162

Source DB:  PubMed          Journal:  J Skin Cancer        ISSN: 2090-2913


1. Introduction

Immune checkpoint inhibitors (ICIs) targeting programmed cell death protein-1 (PD-1) and cytotoxic T-lymphocyte-associated protein 4 (CTLA-4) are used in the treatment of multiple solid tumors. Recent studies have observed a link between gut bacterial diversity and ICI responses and toxicities. The types of bacteria present within gut are altered by antibiotics, which eliminate certain commensal bacterial species and lead to overgrowth of others, decreasing gut bacterial diversity. Poor bacterial diversity is thought to modify host metabolic capacity, creating a condition known as “dysbiosis” [1]. Although not fully understood, gut microbiota in a dysbiosis state is thought to undergo changes in immune signaling that may lead to reduced ICI efficacy [1]. Previous studies have identified a potential link between antibiotic use and inferior clinical outcomes on ICIs; less is known about the impact of other common supportive medications. Therefore, we sought to examine the impact of antibiotics and other drugs on clinical outcomes in metastatic melanoma patients receiving ICIs.

2. Materials and Methods

A single-centre retrospective chart review was performed according to CONSORT criteria (Supplementary Figure 1) using electronic medical records to identify patients ≥18 years with a diagnosis of metastatic melanoma receiving first-line ICIs (PD-1 inhibitors alone or in combination with CTLA-4 inhibitors) between 2012 and 2018. Patients receiving single-agent CTLA-4 inhibitors were excluded. The study was approved by the Sunnybrook Health Sciences Research Ethics Board. Included patients received either antibiotics within 30 days prior to and/or after initiation of ICI, or NSAIDs, statins, steroids, or PPIs within 30 days prior to ICI initiation and were compared to a cohort of patients who did not receive these medications during the same study period. Primary outcome was time-to-treatment discontinuation (TTD) of first-line ICI, measured from initiation to discontinuation date. TTD was used as a proxy of real-world treatment efficacy. Censored date was January 1, 2020. Secondary outcome of interest was the incidence of irAEs, graded as per CTCAE v5.0. Baseline demographics between groups were compared using Pearson's chi-squared test for categorical data, and t-test for continuous variables. For analysis of primary and secondary outcomes, Kaplan–Meier survival curves and Pearson's chi-squared were used, respectively.

3. Results

Of 235 patients with metastatic melanoma receiving treatment with ICIs at our institution, a total of 167 patients receiving either PD-1 inhibitor alone (pembrolizumab or nivolumab) or in combination with the CTLA-4 inhibitor ipilimumab were included (Figure 1). Median (range) age was 62 (18–95) years at the first dose of ICI, and 63% of study participants were male (Table 1). The majority received single-agent pembrolizumab, and use of combination ipilimumab and nivolumab was low due to limited accessibility and funding in Ontario at the time. A total of 72 patients (43.1%) discontinued treatment due to progressive disease, and 37 (22.2%) discontinued due to toxicity.
Figure 1

PRISMA flow diagram for patients included in the retrospective cohort analysis.

Table 1

Patient characteristics.

CharacteristicsNumber of patients (n = 167), no. (%)
Age
Mean66.5
Median68.0
Range18–95

Sex
Male105 (62.9)
Female62 (37.1)

Performance status (ECOG score)
0143 (85.6)
116 (9.6)
26 (3.6)
31 (0.6)
41 (0.6)

Subtype
Cutaneous122 (73.1)
Desmoplastic1 (0.6)
Mucosal7 (4.2)
Nevoid melanoma1 (0.6)
Nodular28 (16.8)
Pigment synthesizing melanoma1 (0.6)
Spindle cell malignant melanoma2 (1.2)
Not known5 (3.0)

BRAF V600 mutation
No105 (62.9)
Not known8 (4.8)
Yes54 (32.3)

Sites of metastasis
Bone49 (29.3)
Central nervous system56 (33.5)
Lymph nodes143 (85.6)
Liver73 (43.7)
Lung119 (71.3)
Soft tissue and others108 (64.7)

ICI treatment received
Ipilimumab + nivolumab6 (3.6)
Nivolumab19 (11.4)
Pembrolizumab142 (85.0)

Immune-related adverse events
Gastrointestinal33 (9.8)
Pneumonitis16 (9.6)
Thyroid14 (8.4)
Diabetes2 (1.2)
Adrenal insufficiency5 (3.0)
Hypophysitis2 (1.2)
Neurologic12 (7.2)
Hematologic1 (0.6)
Renal9 (5.4)
Musculoskeletal11 (6.6)
Skin35 (21.0)

Cause of ICI discontinuation (if discontinued)
Progressive disease72 (43.1)
Toxicity37 (22.2)
Best response24 (14.4)
Ongoing15 (9.0)
Death9 (5.4)
Not known8 (4.8)
Others2 (1.2)
NSAIDs (n = 114) were the most commonly prescribed medications, followed by steroids (n = 72), statins (n = 65), PPIs (n = 63), and antibiotics (n = 34). Patients receiving steroids prior to ICI initiation had a significantly higher number of irAEs compared to patients not receiving steroids (46/72 vs. 42/95 patients, respectively (p=0.013). There were no significant differences in irAEs for patients taking other medications: antibiotics, p=0.34; NSAIDs, p=0.74; statins, p=0.635; PPIs, p=0.26. A significant reduction in TTD was observed for patients receiving antibiotics vs. those not receiving antibiotics (Table 2). Of 34 patients who received antibiotics, 30 discontinued treatment (TTD = 260.5 days), whereas 120 of the 133 patients who did not receive antibiotics discontinued treatment (TTD = 332.4 days (p=0.03), as shown in Figure 2. None of the other concomitant medications had a significant impact on overall TTD (NSAIDs, TTD = 310.2 vs. 331.9 days; p=0.97; statins, TTD = 282.4 vs. 339.6 days; p=0.54; PPIs, TTD = 266.1 vs. 346.8 days, p=0.09; and steroids, TTD = 285.9 vs. 339.4 days; p=0.19).
Table 2

Comparison of the time-to-discontinuation (TTD) in days among patients who received concomitant medications (CI = 95%).

Medication receivedMeanStd. deviationLower boundUpper bound
Antibiotics
No332.426.2281.2383.7
Yes260.563.4136.2384.8

NSAIDs
No331.945.7242.3421.5
Yes310.228.8253.8366.6

Statins
No339.633.2274.5404.7
Yes282.434.2215.4349.4

PPI
No346.831.1285.8407.8
Yes266.137.8191.9340.2

Steroids
No339.431.1278.5400.3
Yes285.938.0211.4360.5

NSAIDs, nonsteroidal anti-inflammatory drugs; PPI, proton-pump inhibitor.

Figure 2

Use of antibiotics and duration of ICI treatment.

4. Discussion

This study provides further support for a detrimental effect of antibiotics on the efficacy of ICIs. However, we were not able to find a negative impact of other concomitant medication use on ICI efficacy. We observed greater irAEs in patients receiving steroids prior to ICI initiation. Although the reasons for steroid use prior to ICIs were unknown, steroids are often used as supportive medications in oncology patients, especially in those with brain metastases and to treat various symptoms such as pain, fatigue, and poor appetite. There was no significant difference in irAEs in patients using vs. not using other concomitant medications (antibiotics, PPIs, NSAIDs, and statins). This higher incidence of irAEs in patients receiving steroids prior to ICI therapy may be due to a negative impact of these drugs on diversity of gut microbiota [2]. A recent study in advanced NSCLC patients reported significantly inferior objective RR, PFS, and/or OS in patients taking ≥10 mg/day of prednisone versus those taking lower doses [3]. However, the negative impact of steroids may be due to their use in patients with poorer performance status, as a large retrospective study showed that patients taking baseline steroids were more likely to have poorer ECOG scores at baseline and more likely to have brain and/or liver metastases at diagnosis [4]. A majority of patients in our study had ECOG scores of 0 or 1. A key finding to highlight in our study was our observation of a shorter TTD for patients who received antibiotics. This is important as many patients are often prescribed broad-spectrum antibiotics, which eliminate larger numbers of commensal bacteria, for routine mild illnesses where their use may not necessarily be warranted. However, we were not able to link the use of specific classes of antibiotics or drug doses to shorter TTD, as this information was not commonly available in our retrospective dataset. In a study conducted by Dethlefsen et al., receipt of the antibiotic ciprofloxacin led to disruption of 30% of the gut microbiota, resulting in loss of bacterial diversity [5]. In a recent study by Cortellini et al., cancer patients administered steroids, PPIs, and systemic antibiotics had significantly worse clinical outcomes on PD-1/PD-L1 inhibitors, presumably due to their detrimental effect on the immune system [6]. Kuczma et al. observed that antibiotic prophylaxis of mice treated with cyclophosphamide reduced antitumor T-cell responses, as well as led to a diminished effect of adoptive T-cell therapy, with decreased tumor-specific CD4+ T-cells [7]. Pinato et al. examined the effect of administering antibiotics prior to (pATB) and concurrently with (cATB) ICIs. Although cATB did not significantly impact efficacy, pATB patients had significantly worse overall survival (p < 0.01) compared to non-pATB patients (NSCLC (2.5 vs. 26 months), melanoma (3.9 vs. 14 months), and other tumor types (1.1 vs. 11 months)) [8]. Our findings are also consistent with a study by Derosa et al. which found a significant increase in primary disease progression, and a significant decrease in PFS and OS for advanced renal cell and NSCLC patients who received antibiotics within 30 days prior to ICIs, as opposed to those who did not [9]. In addition to observing a correlation between antibiotic use and a decreased response to ICIs, Routy et al. found that the transplantation of fecal microbiota from an ICI-responder patient into germ-free or antibiotic-treated mice improved response to ICIs [10]. Hakozaki et al. compared fecal contents of patients receiving vs. not receiving pre-ICI antibiotics and demonstrated an adverse impact of antibiotics on both gut bacterial diversity and ICI responses [11].

5. Conclusions

Our results are in agreement with prior studies observing a detrimental effect of antibiotics on ICI responses. The potential negative impact of antibiotics and other commonly prescribed medications suggest that it is important to carefully consider risks and benefits of such medication use in patients receiving ICIs. Future work should examine whether factors such as drug dose and timing of concomitant medication administration play a role in ICI efficacy and toxicity.
  10 in total

Review 1.  Effects of Antibiotics on Gut Microbiota.

Authors:  Kathleen Lange; Martin Buerger; Andreas Stallmach; Tony Bruns
Journal:  Dig Dis       Date:  2016-03-30       Impact factor: 2.404

2.  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

3.  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

4.  Impact of Baseline Steroids on Efficacy of Programmed Cell Death-1 and Programmed Death-Ligand 1 Blockade in Patients With Non-Small-Cell Lung Cancer.

Authors:  Kathryn C Arbour; Laura Mezquita; Niamh Long; Hira Rizvi; Edouard Auclin; Andy Ni; Gala Martínez-Bernal; Roberto Ferrara; W Victoria Lai; Lizza E L Hendriks; Joshua K Sabari; Caroline Caramella; Andrew J Plodkowski; Darragh Halpenny; Jamie E Chaft; David Planchard; Gregory J Riely; Benjamin Besse; Matthew D Hellmann
Journal:  J Clin Oncol       Date:  2018-08-20       Impact factor: 44.544

5.  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

Review 6.  Steroids, stress and the gut microbiome-brain axis.

Authors:  M J Tetel; G J de Vries; R C Melcangi; G Panzica; S M O'Mahony
Journal:  J Neuroendocrinol       Date:  2018-02       Impact factor: 3.627

7.  The Gut Microbiome Associates with Immune Checkpoint Inhibition Outcomes in Patients with Advanced Non-Small Cell Lung Cancer.

Authors:  Taiki Hakozaki; Corentin Richard; Arielle Elkrief; Bertrand Routy; Yusuke Okuma; Yukio Hosomi; Myriam Benlaïfaoui; Iris Mimpen; Safae Terrisse; Lisa Derosa; Laurence Zitvogel
Journal:  Cancer Immunol Res       Date:  2020-07-27       Impact factor: 11.151

8.  The pervasive effects of an antibiotic on the human gut microbiota, as revealed by deep 16S rRNA sequencing.

Authors:  Les Dethlefsen; Sue Huse; Mitchell L Sogin; David A Relman
Journal:  PLoS Biol       Date:  2008-11-18       Impact factor: 8.029

9.  The impact of antibiotic usage on the efficacy of chemoimmunotherapy is contingent on the source of tumor-reactive T cells.

Authors:  Michal P Kuczma; Zhi-Chun Ding; Tao Li; Tsadik Habtetsion; Tingting Chen; Zhonglin Hao; Locke Bryan; Nagendra Singh; James N Kochenderfer; Gang Zhou
Journal:  Oncotarget       Date:  2017-12-05

10.  Integrated analysis of concomitant medications and oncological outcomes from PD-1/PD-L1 checkpoint inhibitors in clinical practice.

Authors:  Alessio Cortellini; Marco Tucci; Vincenzo Adamo; Luigia Stefania Stucci; Alessandro Russo; Enrica Teresa Tanda; Francesco Spagnolo; Francesca Rastelli; Renato Bisonni; Daniele Santini; Marco Russano; Cecilia Anesi; Raffaele Giusti; Marco Filetti; Paolo Marchetti; Andrea Botticelli; Alain Gelibter; Mario Alberto Occhipinti; Riccardo Marconcini; Maria Giuseppa Vitale; Linda Nicolardi; Rita Chiari; Claudia Bareggi; Olga Nigro; Alessandro Tuzi; Michele De Tursi; Nicola Petragnani; Laura Pala; Sergio Bracarda; Serena Macrini; Alessandro Inno; Federica Zoratto; Enzo Veltri; Barbara Di Cocco; Domenico Mallardo; Maria Grazia Vitale; David James Pinato; Giampiero Porzio; Corrado Ficorella; Paolo Antonio Ascierto
Journal:  J Immunother Cancer       Date:  2020-11       Impact factor: 13.751

  10 in total
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1.  Local anesthetics elicit immune-dependent anticancer effects.

Authors:  Lucillia Bezu; Alejandra Wu Chuang; Allan Sauvat; Juliette Humeau; Wei Xie; Giulia Cerrato; Peng Liu; Liwei Zhao; Shuai Zhang; Julie Le Naour; Jonathan Pol; Peter van Endert; Oliver Kepp; Fabrice Barlesi; Guido Kroemer
Journal:  J Immunother Cancer       Date:  2022-04       Impact factor: 12.469

2.  Expression of immune checkpoint regulators, programmed death-ligand 1 (PD-L1/PD-1), cytotoxic T lymphocyte antigen 4 (CTLA-4), and indolaimine-2, 3-deoxygenase (IDO) in uterine mesenchymal tumors.

Authors:  Alireza Samiei; David W Gjertson; Sanaz Memarzadeh; Gottfried E Konecny; Neda A Moatamed
Journal:  Diagn Pathol       Date:  2022-09-14       Impact factor: 3.196

  2 in total

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