Literature DB >> 33419357

Gastric Adenocarcinomas and Signet-Ring Cell Carcinoma: Unraveling Gastric Cancer Complexity through Microbiome Analysis-Deepening Heterogeneity for a Personalized Therapy.

Gloria Ravegnini1, Bruno Fosso2, Viola Di Saverio3, Giulia Sammarini1, Federica Zanotti1, Giulio Rossi3, Monica Ricci3, Federica D'Amico1, Giorgia Valori1, Antonella Ioli3, Silvia Turroni1, Patrizia Brigidi4, Patrizia Hrelia1, Sabrina Angelini1.   

Abstract

Gastric cancer (GC) is the fifth most prevalent cancer worldwide and the third leading cause of global cancer mortality. With the advances of the omic studies, a heterogeneous GC landscape has been revealed, with significant molecular diversity. Given the multifaceted nature of GC, identification of different patient subsets with prognostic and/or predictive outcomes is a key aspect to allow tailoring of specific treatments. Recently, the involvement of the microbiota in gastric carcinogenesis has been described. To deepen this aspect, we compared microbiota composition in signet-ring cell carcinoma (SRCC) and adenocarcinoma (ADC), two distinct GC subtypes. To this purpose, 10 ADC and 10 SRCC and their paired non-tumor (PNT) counterparts were evaluated for microbiota composition through 16S rRNA analysis. Weighted and unweighted UniFrac and Bray-Curtis dissimilarity showed significant community-level separation between ADC and SRCC. Through the LEfSe (linear discriminant analysis coupled with effect size) tool, we identified potential microbial biomarkers associated with GC subtypes. In particular, SRCCs were significantly enriched in the phyla Fusobacteria, Bacteroidetes, Patescibacteria, whereas in the ADC type, Proteobacteria and Acidobacteria phyla were found. Overall, our data add new insights into GC heterogeneity and may contribute to deepening the GC classification.

Entities:  

Keywords:  ADC; SRCC; adenocarcinoma; biomarkers; gastric cancer; microbiome; personalized therapy; signet-ring cell carcinoma

Mesh:

Substances:

Year:  2020        PMID: 33419357      PMCID: PMC7766162          DOI: 10.3390/ijms21249735

Source DB:  PubMed          Journal:  Int J Mol Sci        ISSN: 1422-0067            Impact factor:   5.923


  76 in total

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Journal:  Front Microbiol       Date:  2018-05-03       Impact factor: 5.640

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