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Inferring the role of the microbiome on survival in patients treated with immune checkpoint inhibitors: causal modeling, timing, and classes of concomitant medications.
Spakowicz, Daniel; Hoyd, Rebecca; Muniak, Mitchell; Husain, Marium; Bassett, James S; Wang, Lei; Tinoco, Gabriel; Patel, Sandip H; Burkart, Jarred; Miah, Abdul; Li, Mingjia; Johns, Andrew; Grogan, Madison; Carbone, David P; Verschraegen, Claire F; Kendra, Kari L; Otterson, Gregory A; Li, Lang; Presley, Carolyn J; Owen, Dwight H.
Affiliation
  • Spakowicz D; Division of Medical Oncology, Department of Internal Medicine, The Ohio State University Comprehensive Cancer Center, Columbus, OH, USA. Daniel.Spakowicz@osumc.edu.
  • Hoyd R; Department of Biomedical Informatics, The Ohio State University College of Medicine, Columbus, OH, USA. Daniel.Spakowicz@osumc.edu.
  • Husain M; Division of Medical Oncology, Department of Internal Medicine, The Ohio State University Comprehensive Cancer Center, Columbus, OH, USA.
  • Bassett JS; Division of Medical Oncology, Department of Internal Medicine, The Ohio State University Comprehensive Cancer Center, Columbus, OH, USA.
  • Wang L; Division of Medical Oncology, Department of Internal Medicine, The Ohio State University Comprehensive Cancer Center, Columbus, OH, USA.
  • Tinoco G; Department of Biomedical Informatics, The Ohio State University College of Medicine, Columbus, OH, USA.
  • Patel SH; Division of Medical Oncology, Department of Internal Medicine, The Ohio State University Comprehensive Cancer Center, Columbus, OH, USA.
  • Burkart J; Division of Medical Oncology, Department of Internal Medicine, The Ohio State University Comprehensive Cancer Center, Columbus, OH, USA.
  • Miah A; Division of Medical Oncology, Department of Internal Medicine, The Ohio State University Comprehensive Cancer Center, Columbus, OH, USA.
  • Li M; Division of Medical Oncology, Department of Internal Medicine, The Ohio State University Comprehensive Cancer Center, Columbus, OH, USA.
  • Johns A; Division of Hospital Medicine, Department of Internal Medicine, The Ohio State University Comprehensive Cancer Center, Columbus, USA.
  • Grogan M; Division of Medical Oncology, Department of Internal Medicine, The Ohio State University Comprehensive Cancer Center, Columbus, OH, USA.
  • Carbone DP; Division of Medical Oncology, Department of Internal Medicine, The Ohio State University Comprehensive Cancer Center, Columbus, OH, USA.
  • Verschraegen CF; Division of Medical Oncology, Department of Internal Medicine, The Ohio State University Comprehensive Cancer Center, Columbus, OH, USA.
  • Kendra KL; Division of Medical Oncology, Department of Internal Medicine, The Ohio State University Comprehensive Cancer Center, Columbus, OH, USA.
  • Otterson GA; Division of Medical Oncology, Department of Internal Medicine, The Ohio State University Comprehensive Cancer Center, Columbus, OH, USA.
  • Li L; Division of Medical Oncology, Department of Internal Medicine, The Ohio State University Comprehensive Cancer Center, Columbus, OH, USA.
  • Presley CJ; Department of Biomedical Informatics, The Ohio State University College of Medicine, Columbus, OH, USA.
  • Owen DH; Division of Medical Oncology, Department of Internal Medicine, The Ohio State University Comprehensive Cancer Center, Columbus, OH, USA.
BMC Cancer ; 20(1): 383, 2020 May 06.
Article in En | MEDLINE | ID: mdl-32375706
ABSTRACT

BACKGROUND:

The microbiome has been shown to affect the response to Immune Checkpoint Inhibitors (ICIs) in a small number of cancers and in preclinical models. Here, we sought to broadly survey cancers to identify those in which the microbiome may play a prognostic role using retrospective analyses of patients with advanced cancer treated with ICIs.

METHODS:

We conducted a retrospective analysis of 690 patients who received ICI therapy for advanced cancer. We used a literature review to define a causal model for the relationship between medications, the microbiome, and ICI response to guide the abstraction of electronic health records. Medications with precedent for changes to the microbiome included antibiotics, corticosteroids, proton pump inhibitors, histamine receptor blockers, non-steroid anti-inflammatories and statins. We tested the effect of medication timing on overall survival (OS) and evaluated the robustness of medication effects in each cancer. Finally, we compared the size of the effect observed for different classes of antibiotics to taxa that have been correlated to ICI response using a literature review of culture-based antibiotic susceptibilities.

RESULTS:

Of the medications assessed, only antibiotics and corticosteroids significantly associated with shorter OS. The hazard ratios (HRs) for antibiotics and corticosteroids were highest near the start of ICI treatment but remained significant when given prior to ICI. Antibiotics and corticosteroids remained significantly associated with OS even when controlling for multiple factors such as Eastern Cooperative Oncology Group performance status, Charlson Comorbidity Index score, and stage. When grouping antibiotics by class, ß-lactams showed the strongest association with OS across all tested cancers.

CONCLUSIONS:

The timing and strength of the correlations with antibiotics and corticosteroids after controlling for confounding factors are consistent with the microbiome involvement with the response to ICIs across several cancers.
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Bacteria / Adrenal Cortex Hormones / Dysbiosis / Antineoplastic Agents, Immunological / Anti-Bacterial Agents / Neoplasms Type of study: Observational_studies / Prognostic_studies / Qualitative_research / Risk_factors_studies Limits: Female / Humans / Male / Middle aged Language: En Journal: BMC Cancer Journal subject: NEOPLASIAS Year: 2020 Document type: Article Affiliation country:

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Bacteria / Adrenal Cortex Hormones / Dysbiosis / Antineoplastic Agents, Immunological / Anti-Bacterial Agents / Neoplasms Type of study: Observational_studies / Prognostic_studies / Qualitative_research / Risk_factors_studies Limits: Female / Humans / Male / Middle aged Language: En Journal: BMC Cancer Journal subject: NEOPLASIAS Year: 2020 Document type: Article Affiliation country:
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