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A blood-based circulating microbial metagenomic panel for early diagnosis and prognosis of oesophageal adenocarcinoma.
Zaidi, Ali H; Pratama, Muhammad Yogi; Omstead, Ashten N; Gorbonova, Anastasia; Mansoor, Rubab; Melton-Kreft, Rachael; Jobe, Blair A; Wagner, Patrick L; Kelly, Ronan J; Goel, Ajay.
Afiliación
  • Zaidi AH; Allegheny Health Network Cancer Institute, Allegheny Health Network, Pittsburgh, PA, USA.
  • Pratama MY; Department of Molecular Diagnostics and Experimental Therapeutics, Beckman Research Institute of City of Hope, Monrovia, CA, USA.
  • Omstead AN; Allegheny Health Network Cancer Institute, Allegheny Health Network, Pittsburgh, PA, USA.
  • Gorbonova A; Allegheny Health Network Cancer Institute, Allegheny Health Network, Pittsburgh, PA, USA.
  • Mansoor R; Allegheny Health Network Cancer Institute, Allegheny Health Network, Pittsburgh, PA, USA.
  • Melton-Kreft R; The Allegheny Health Network, Center of Excellence in Biofilm Research, Pittsburgh, PA, USA.
  • Jobe BA; Allegheny Health Network Cancer Institute, Allegheny Health Network, Pittsburgh, PA, USA.
  • Wagner PL; Allegheny Health Network Cancer Institute, Allegheny Health Network, Pittsburgh, PA, USA.
  • Kelly RJ; The Charles A. Sammons Cancer Center, Baylor University Medical Center, Dallas, TX, USA.
  • Goel A; Department of Molecular Diagnostics and Experimental Therapeutics, Beckman Research Institute of City of Hope, Monrovia, CA, USA. ajgoel@coh.org.
Br J Cancer ; 127(11): 2016-2024, 2022 11.
Article en En | MEDLINE | ID: mdl-36097175
BACKGROUND: Emerging evidence indicates the potential clinical significance of specific microbial signatures as diagnostic and prognostic biomarkers, in multiple cancers. However, to date, no studies have systematically interrogated circulating metagenome profiling in oesophageal adenocarcinoma (EAC) patients, particularly as novel non-invasive, early detection, surveillance and prognostic classifiers. METHODS: Metagenome sequencing was performed on 81 serum specimens collected across EAC spectrum, with sequencing reads classified using Bracken and MetaPhlAn3. Followed by the Linear Discriminant Analysis effect size (LEfSe) method to identify microbial profiles between groups. Logistic regression and Kaplan-Meier analyses were used to build classifiers. RESULTS: A significant loss of alpha and beta diversity was identified in serum specimens from EAC patients. We observed a shift in microbial taxa between each group-at the phylum, genus, and species level-with Lactobacillus sakei as the most prominent species in gastroesophageal reflux (GERD) vs other patient groups. Interestingly, LEfSe analysis identified a complete loss of Lactobacillus (L. Sakei and L. Curvatus), Collinsella stercoris and Bacteroides stercoris but conversely a significant increase in Escherichia coli in patients with EAC. Finally, we developed a metagenome panel that discriminated EAC from GERD patients with an AUC value of 0.89 (95% CI: 0.78-0.95; P < 0.001) and this panel in conjunction with the TNM stage was a robust predictor of overall survival (≥24 months; AUC = 0.84 (95% CI: 0.66-0.92; P = 0.006)). CONCLUSION: This study firstly describes unique blood-based microbial profiles in patients across EAC carcinogenesis, that are further utilised to establish a novel circulating diagnostic and prognostic metagenomic signature for EAC. TRANSLATIONAL RELEVANCE: Accumulating data indicates the clinical relevance of specific microbial signatures as diagnostic and prognostic biomarkers, in multiple cancers. However, to date, no studies have systematically interrogated circulating metagenome profiling in patients with oesophageal adenocarcinoma (EAC). Herein, we performed metagenome sequencing in serum specimens from EAC patients 81 collected across EAC spectrum and observed a significant loss of alpha and beta diversity, with a shift in microbial taxa between each group-at the phylum, genus, and species level-with Lactobacillus sakei as the most prominent species in gastroesophageal reflux (GERD) vs other patient groups. Interestingly, LEfSe analysis identified a complete loss of Lactobacillus (L. Sakei and L. Curvatus), Collinsella stercoris and Bacteroides stercoris but conversely a significant increase in Escherichia coli in patients with EAC. Finally, we developed a metagenome panel that discriminated EAC from GERD patients with an AUC value of 0.89 and this panel, in conjunction with the TNM stage, was a robust predictor of overall survival. This study for the first time describes unique blood-based microbial profiles in patients across EAC carcinogenesis, that are further utilised to establish a novel circulating diagnostic and prognostic metagenomic signature for EAC.
Asunto(s)

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Neoplasias Esofágicas / Adenocarcinoma / Reflujo Gastroesofágico Tipo de estudio: Diagnostic_studies / Prognostic_studies / Screening_studies Límite: Humans Idioma: En Revista: Br J Cancer Año: 2022 Tipo del documento: Article País de afiliación: Estados Unidos Pais de publicación: Reino Unido

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Neoplasias Esofágicas / Adenocarcinoma / Reflujo Gastroesofágico Tipo de estudio: Diagnostic_studies / Prognostic_studies / Screening_studies Límite: Humans Idioma: En Revista: Br J Cancer Año: 2022 Tipo del documento: Article País de afiliación: Estados Unidos Pais de publicación: Reino Unido