The tumor microbiome as a predictor of outcomes in patients with metastatic melanoma treated with immune checkpoint inhibitors.
Journal
Cancer research communications
ISSN: 2767-9764
Titre abrégé: Cancer Res Commun
Pays: United States
ID NLM: 9918281580506676
Informations de publication
Date de publication:
17 Jul 2024
17 Jul 2024
Historique:
accepted:
12
07
2024
received:
11
04
2023
revised:
21
09
2023
medline:
17
7
2024
pubmed:
17
7
2024
entrez:
17
7
2024
Statut:
aheadofprint
Résumé
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.
Identifiants
pubmed: 39015091
pii: 746446
doi: 10.1158/2767-9764.CRC-23-0170
doi:
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM