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| Main Authors: | , , , , , , , , , , , |
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| Format: | Artículo científico |
| Language: | en |
| Published: |
Research in veterinary science
2026
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| Subjects: | |
| Online Access: | https://pubmed.ncbi.nlm.nih.gov/41812341/ |
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| _version_ | 1868266074588315649 |
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| author | Aluai-Cunha, Catarina Couto, Ana Oliveira, Diana Leite-Martins, Liliana Santos, Marta Marcos, Ricardo Gregório, Hugo Petrucci, Gonçalo Ribeiro, Jorge Correia, Alexandra Serra, Cláudia R Santos, Andreia |
| author_facet | Aluai-Cunha, Catarina Couto, Ana Oliveira, Diana Leite-Martins, Liliana Santos, Marta Marcos, Ricardo Gregório, Hugo Petrucci, Gonçalo Ribeiro, Jorge Correia, Alexandra Serra, Cláudia R Santos, Andreia Aluai-Cunha, Catarina Couto, Ana Oliveira, Diana Leite-Martins, Liliana Santos, Marta Marcos, Ricardo Gregório, Hugo Petrucci, Gonçalo Ribeiro, Jorge Correia, Alexandra Serra, Cláudia R Santos, Andreia |
| collection | PubMed - marine biology |
| contents | Linking faecal microbiota changes to clinical and prognostic features in dogs with mast cell tumours through 16S rRNA gene sequencing. Aluai-Cunha, Catarina Couto, Ana Oliveira, Diana Leite-Martins, Liliana Santos, Marta Marcos, Ricardo Gregório, Hugo Petrucci, Gonçalo Ribeiro, Jorge Correia, Alexandra Serra, Cláudia R Santos, Andreia Animals Dogs Dog Diseases Feces RNA, Ribosomal, 16S Female Prognosis Male Mast cell tumours (MCT) represent one of the most relevant oncologic diseases in veterinary medicine, due to their high incidence, significant impact on clinical decision-making and patient outcomes. Therapeutic options remain limited, thereby reinforcing the critical need to identify additional oncogenic drivers, and a growing body of evidence has underscored the pivotal role of the microbiota in the pathogenesis and progression of neoplastic diseases. This study aimed to evaluate whether taxonomic groups identified in the faecal microbiota of dogs diagnosed with MCT are associated with clinicopathological features and patient's outcomes. Using 16S rRNA gene sequencing, the faecal microbiota was characterised in 47 dogs. Statistical and bioinformatic analyses were conducted in Python using a DADA2-based pipeline to process amplicon sequence variants (ASV). Statistical models were applied to identify taxonomic groups associated with clinicopathological and prognostic features. Increased abundance of Pseudomonadota and Clostridium sensu stricto 1 was detected in patients with lower disease-free survival (DFS) (p |
| format | Artículo científico |
| id | pubmed_41812341 |
| institution | PubMed |
| language | en |
| publishDate | 2026 |
| publisher | Research in veterinary science |
| record_format | pubmed |
| spellingShingle | Linking faecal microbiota changes to clinical and prognostic features in dogs with mast cell tumours through 16S rRNA gene sequencing. Aluai-Cunha, Catarina Couto, Ana Oliveira, Diana Leite-Martins, Liliana Santos, Marta Marcos, Ricardo Gregório, Hugo Petrucci, Gonçalo Ribeiro, Jorge Correia, Alexandra Serra, Cláudia R Santos, Andreia Animals Dogs Dog Diseases Feces RNA, Ribosomal, 16S Female Prognosis Male Linking faecal microbiota changes to clinical and prognostic features in dogs with mast cell tumours through 16S rRNA gene sequencing. Aluai-Cunha, Catarina Couto, Ana Oliveira, Diana Leite-Martins, Liliana Santos, Marta Marcos, Ricardo Gregório, Hugo Petrucci, Gonçalo Ribeiro, Jorge Correia, Alexandra Serra, Cláudia R Santos, Andreia Animals Dogs Dog Diseases Feces RNA, Ribosomal, 16S Female Prognosis Male Mast cell tumours (MCT) represent one of the most relevant oncologic diseases in veterinary medicine, due to their high incidence, significant impact on clinical decision-making and patient outcomes. Therapeutic options remain limited, thereby reinforcing the critical need to identify additional oncogenic drivers, and a growing body of evidence has underscored the pivotal role of the microbiota in the pathogenesis and progression of neoplastic diseases. This study aimed to evaluate whether taxonomic groups identified in the faecal microbiota of dogs diagnosed with MCT are associated with clinicopathological features and patient's outcomes. Using 16S rRNA gene sequencing, the faecal microbiota was characterised in 47 dogs. Statistical and bioinformatic analyses were conducted in Python using a DADA2-based pipeline to process amplicon sequence variants (ASV). Statistical models were applied to identify taxonomic groups associated with clinicopathological and prognostic features. Increased abundance of Pseudomonadota and Clostridium sensu stricto 1 was detected in patients with lower disease-free survival (DFS) (p |
| title | Linking faecal microbiota changes to clinical and prognostic features in dogs with mast cell tumours through 16S rRNA gene sequencing. |
| topic | Animals Dogs Dog Diseases Feces RNA, Ribosomal, 16S Female Prognosis Male |
| url | https://pubmed.ncbi.nlm.nih.gov/41812341/ |