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The tumor microbiome as a predictor of outcomes in patients with metastatic melanoma treated with immune checkpoint inhibitors.
Dravillas, Caroline E; Coleman, Samuel S; Hoyd, Rebecca; Caryotakis, Griffin; Denko, Louis; Chan, Carlos H F; Churchman, Michelle L; Denko, Nicholas; Dodd, Rebecca D; Eljilany, Islam; Hardikar, Sheetal; Husain, Marium; Ikeguchi, Alexandra P; Jin, Ning; Ma, Qin; McCarter, Martin D; Osman, Afaf E G; Robinson, Lary A; Singer, Eric A; Tinoco, Gabriel; Ulrich, Cornelia M; Zakharia, Yousef; Spakowicz, Daniel; Tarhini, Ahmad A; Tan, Aik Choon.
Affiliation
  • Dravillas CE; The Ohio State University Comprehensive Cancer Center, Columbus, Ohio, United States.
  • Coleman SS; University of Utah, Salt Lake City, UT, United States.
  • Hoyd R; The Ohio State University Comprehensive Cancer Center, Columbus, Ohio, United States.
  • Caryotakis G; Huntsman Cancer Institute, Salt Lake City, UT, United States.
  • Denko L; The Ohio State University Comprehensive Cancer Center, Columbus, Ohio, United States.
  • Chan CHF; University of Iowa, Iowa City, IA, United States.
  • Churchman ML; Aster Insights, Hudson, FL, United States.
  • Denko N; Ohio State University, Columbus, OH, United States.
  • Dodd RD; University of Iowa, Iowa City, IA, United States.
  • Eljilany I; H. Lee Moffitt Cancer Center and Research Institute, Tampa, FL, United States.
  • Hardikar S; Huntsman Cancer Institute, Salt Lake City, UT, United States.
  • Husain M; The Ohio State University Comprehensive Cancer Center, Columbus, OH, United States.
  • Ikeguchi AP; Stephenson Cancer Center of University of Oklahoma, Oklahoma City, OK, United States.
  • Jin N; Ohio State University Wexner Medical Center, Columbus, Ohio, United States.
  • Ma Q; The Ohio State University, Columbus, United States.
  • McCarter MD; University of Colorado Anschutz Medical Campus, Aurora, CO, United States.
  • Osman AEG; University of Utah, Salt Lake City, United States.
  • Robinson LA; H. Lee Moffitt Cancer Center and Research Institute, Tampa, FL, United States.
  • Singer EA; The Ohio State University Wexner Medical Center, Columbus, OH, United States.
  • Tinoco G; The Ohio State University Comprehensive Cancer Center, Columbus, Ohio, United States.
  • Ulrich CM; Huntsman Cancer Institute, Salt Lake City, UT, United States.
  • Zakharia Y; University of Iowa Hospitals and Clinics, Iowa City, IA, United States.
  • Spakowicz D; Pelotonia Institute for Immuno-Oncology at The Ohio State University Comprehensive Cancer Center, Columbus, OH, United States.
  • Tarhini AA; Moffitt Cancer Center, Tampa, Florida, United States.
  • Tan AC; Huntsman Cancer Institute, Salt Lake City, UT, United States.
Cancer Res Commun ; 2024 Jul 17.
Article in En | MEDLINE | ID: mdl-39015091
ABSTRACT
Emerging evidence supports the important role of the tumor microbiome in oncogenesis, cancer immune phenotype, cancer progression, and treatment outcomes in many malignancies. In this study, we investigated the metastatic melanoma tumor microbiome and potential roles in association with clinical outcomes, such as survival, in patients with metastatic disease treated with immune checkpoint inhibitors (ICIs). Baseline tumor samples were collected from 71 patients with metastatic melanoma before treatment with ICIs. Bulk RNA-seq was conducted on the formalin-fixed paraffin-embedded (FFPE) and fresh frozen (FF) tumor samples. Durable clinical benefit (primary clinical endpoint) following ICIs was defined as overall survival >24 months and no change to the primary drug regimen (responders). We processed RNA-seq reads to carefully identify exogenous sequences using the {exotic} tool. The 71 patients with metastatic melanoma ranged in age from 24 to 83 years, 59% were male, and 55% survived >24 months following the initiation of ICI treatment. Exogenous taxa were identified in the tumor RNA-seq, including bacteria, fungi, and viruses. We found differences in gene expression and microbe abundances in immunotherapy responsive versus non-responsive tumors. Responders showed significant enrichment of bacteriophage in the phylum Uroviricota, and non-responders showed enrichment of several bacteria including Campylobacter jejuni. These microbes correlated with immune-related gene expression signatures. Finally, we found that models for predicting prolonged survival with immunotherapy using both microbe abundances and gene expression outperformed models using either dataset alone. Our findings warrant further investigation and potentially support therapeutic strategies to modify the tumor microbiome in order to improve treatment outcomes with ICIs.

Full text: 1 Collection: 01-internacional Database: MEDLINE Language: En Journal: Cancer Res Commun Year: 2024 Document type: Article Affiliation country: Estados Unidos

Full text: 1 Collection: 01-internacional Database: MEDLINE Language: En Journal: Cancer Res Commun Year: 2024 Document type: Article Affiliation country: Estados Unidos