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Intestinal microbiota signatures of clinical response and immune-related adverse events in melanoma patients treated with anti-PD-1.
McCulloch, John A; Davar, Diwakar; Rodrigues, Richard R; Badger, Jonathan H; Fang, Jennifer R; Cole, Alicia M; Balaji, Ascharya K; Vetizou, Marie; Prescott, Stephanie M; Fernandes, Miriam R; Costa, Raquel G F; Yuan, Wuxing; Salcedo, Rosalba; Bahadiroglu, Erol; Roy, Soumen; DeBlasio, Richelle N; Morrison, Robert M; Chauvin, Joe-Marc; Ding, Quanquan; Zidi, Bochra; Lowin, Ava; Chakka, Saranya; Gao, Wentao; Pagliano, Ornella; Ernst, Scarlett J; Rose, Amy; Newman, Nolan K; Morgun, Andrey; Zarour, Hassane M; Trinchieri, Giorgio; Dzutsev, Amiran K.
Afiliação
  • McCulloch JA; Genetics and Microbiome Core, Laboratory of Integrative Cancer Immunology, Center for Cancer Research, National Cancer Institute, Bethesda, MD, USA.
  • Davar D; Department of Medicine and UPMC Hillman Cancer Center, University of Pittsburgh, Pittsburgh, PA, USA.
  • Rodrigues RR; Genetics and Microbiome Core, Laboratory of Integrative Cancer Immunology, Center for Cancer Research, National Cancer Institute, Bethesda, MD, USA.
  • Badger JH; Basic Science Program, Frederick National Laboratory for Cancer Research, Frederick, MD, USA.
  • Fang JR; Genetics and Microbiome Core, Laboratory of Integrative Cancer Immunology, Center for Cancer Research, National Cancer Institute, Bethesda, MD, USA.
  • Cole AM; Cancer Immunobiology Section, Laboratory of Integrative Cancer Immunology, Center for Cancer Research, National Cancer Institute, Bethesda, MD, USA.
  • Balaji AK; Cancer Immunobiology Section, Laboratory of Integrative Cancer Immunology, Center for Cancer Research, National Cancer Institute, Bethesda, MD, USA.
  • Vetizou M; Cancer Immunobiology Section, Laboratory of Integrative Cancer Immunology, Center for Cancer Research, National Cancer Institute, Bethesda, MD, USA.
  • Prescott SM; Cancer Immunobiology Section, Laboratory of Integrative Cancer Immunology, Center for Cancer Research, National Cancer Institute, Bethesda, MD, USA.
  • Fernandes MR; Cancer Immunobiology Section, Laboratory of Integrative Cancer Immunology, Center for Cancer Research, National Cancer Institute, Bethesda, MD, USA.
  • Costa RGF; Cancer Immunobiology Section, Laboratory of Integrative Cancer Immunology, Center for Cancer Research, National Cancer Institute, Bethesda, MD, USA.
  • Yuan W; Cancer Immunobiology Section, Laboratory of Integrative Cancer Immunology, Center for Cancer Research, National Cancer Institute, Bethesda, MD, USA.
  • Salcedo R; Genetics and Microbiome Core, Laboratory of Integrative Cancer Immunology, Center for Cancer Research, National Cancer Institute, Bethesda, MD, USA.
  • Bahadiroglu E; Basic Science Program, Frederick National Laboratory for Cancer Research, Frederick, MD, USA.
  • Roy S; Cancer Immunobiology Section, Laboratory of Integrative Cancer Immunology, Center for Cancer Research, National Cancer Institute, Bethesda, MD, USA.
  • DeBlasio RN; Cancer Immunobiology Section, Laboratory of Integrative Cancer Immunology, Center for Cancer Research, National Cancer Institute, Bethesda, MD, USA.
  • Morrison RM; Cancer Immunobiology Section, Laboratory of Integrative Cancer Immunology, Center for Cancer Research, National Cancer Institute, Bethesda, MD, USA.
  • Chauvin JM; Department of Medicine and UPMC Hillman Cancer Center, University of Pittsburgh, Pittsburgh, PA, USA.
  • Ding Q; Department of Medicine and UPMC Hillman Cancer Center, University of Pittsburgh, Pittsburgh, PA, USA.
  • Zidi B; Department of Medicine and UPMC Hillman Cancer Center, University of Pittsburgh, Pittsburgh, PA, USA.
  • Lowin A; Department of Medicine and UPMC Hillman Cancer Center, University of Pittsburgh, Pittsburgh, PA, USA.
  • Chakka S; Department of Medicine and UPMC Hillman Cancer Center, University of Pittsburgh, Pittsburgh, PA, USA.
  • Gao W; Department of Medicine and UPMC Hillman Cancer Center, University of Pittsburgh, Pittsburgh, PA, USA.
  • Pagliano O; Department of Medicine and UPMC Hillman Cancer Center, University of Pittsburgh, Pittsburgh, PA, USA.
  • Ernst SJ; Department of Medicine and UPMC Hillman Cancer Center, University of Pittsburgh, Pittsburgh, PA, USA.
  • Rose A; Department of Medicine and UPMC Hillman Cancer Center, University of Pittsburgh, Pittsburgh, PA, USA.
  • Newman NK; Department of Medicine and UPMC Hillman Cancer Center, University of Pittsburgh, Pittsburgh, PA, USA.
  • Morgun A; Department of Medicine and UPMC Hillman Cancer Center, University of Pittsburgh, Pittsburgh, PA, USA.
  • Zarour HM; College of Pharmacy, Oregon State University, Corvallis, OR, USA.
  • Trinchieri G; College of Pharmacy, Oregon State University, Corvallis, OR, USA.
  • Dzutsev AK; Department of Medicine and UPMC Hillman Cancer Center, University of Pittsburgh, Pittsburgh, PA, USA. zarourhm@upmc.edu.
Nat Med ; 28(3): 545-556, 2022 03.
Article em En | MEDLINE | ID: mdl-35228752
Ample evidence indicates that the gut microbiome is a tumor-extrinsic factor associated with antitumor response to anti-programmed cell death protein-1 (PD-1) therapy, but inconsistencies exist between published microbial signatures associated with clinical outcomes. To resolve this, we evaluated a new melanoma cohort, along with four published datasets. Time-to-event analysis showed that baseline microbiota composition was optimally associated with clinical outcome at approximately 1 year after initiation of treatment. Meta-analysis and other bioinformatic analyses of the combined data show that bacteria associated with favorable response are confined within the Actinobacteria phylum and the Lachnospiraceae/Ruminococcaceae families of Firmicutes. Conversely, Gram-negative bacteria were associated with an inflammatory host intestinal gene signature, increased blood neutrophil-to-lymphocyte ratio, and unfavorable outcome. Two microbial signatures, enriched for Lachnospiraceae spp. and Streptococcaceae spp., were associated with favorable and unfavorable clinical response, respectively, and with distinct immune-related adverse effects. Despite between-cohort heterogeneity, optimized all-minus-one supervised learning algorithms trained on batch-corrected microbiome data consistently predicted outcomes to programmed cell death protein-1 therapy in all cohorts. Gut microbial communities (microbiotypes) with nonuniform geographical distribution were associated with favorable and unfavorable outcomes, contributing to discrepancies between cohorts. Our findings shed new light on the complex interaction between the gut microbiome and response to cancer immunotherapy, providing a roadmap for future studies.
Assuntos

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Microbiota / Microbioma Gastrointestinal / Melanoma Idioma: En Ano de publicação: 2022 Tipo de documento: Article País de afiliação: Estados Unidos

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Microbiota / Microbioma Gastrointestinal / Melanoma Idioma: En Ano de publicação: 2022 Tipo de documento: Article País de afiliação: Estados Unidos