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Fecal Bacteria as Non-Invasive Biomarkers for Colorectal Adenocarcinoma.
Yuan, Biao; Ma, Bin; Yu, Jing; Meng, Qingkai; Du, Tao; Li, Hongyi; Zhu, Yueyan; Sun, Zikui; Ma, Siping; Song, Chun.
Afiliação
  • Yuan B; Department of Gastroenterological Surgery, Shanghai East Hospital, Tongji University of Medicine, Shanghai, China.
  • Ma B; Department of Colorectal Surgery, Cancer Hospital of China Medical University, Liaoning Cancer Hospital and Institute, Shenyang, China.
  • Yu J; Research and Development Department, Shanghai Personal Biotechnology Co., Ltd, Shanghai, China.
  • Meng Q; ECNU-PERSONAL Joint Laboratory of Genetic Detection and Application, Shanghai Personal Biotechnology Co., Ltd, Shanghai, China.
  • Du T; Department of Colorectal Surgery, Cancer Hospital of China Medical University, Liaoning Cancer Hospital and Institute, Shenyang, China.
  • Li H; Department of Gastroenterological Surgery, Shanghai East Hospital, Tongji University of Medicine, Shanghai, China.
  • Zhu Y; Research and Development Department, Shanghai Personal Biotechnology Co., Ltd, Shanghai, China.
  • Sun Z; Research and Development Department, Shanghai Personal Biotechnology Co., Ltd, Shanghai, China.
  • Ma S; Research and Development Department, Shanghai Personal Biotechnology Co., Ltd, Shanghai, China.
  • Song C; ECNU-PERSONAL Joint Laboratory of Genetic Detection and Application, Shanghai Personal Biotechnology Co., Ltd, Shanghai, China.
Front Oncol ; 11: 664321, 2021.
Article em En | MEDLINE | ID: mdl-34447694
ABSTRACT
Colorectal adenocarcinoma (CRC) ranks one of the five most lethal malignant tumors both in China and worldwide. Early diagnosis and treatment of CRC could substantially increase the survival rate. Emerging evidence has revealed the importance of gut microbiome on CRC, thus fecal microbial community could be termed as a potential screen for non-invasive diagnosis. Importantly, few numbers of bacteria genus as non-invasive biomarkers with high sensitivity and specificity causing less cost would be benefitted more in clinical compared with the whole microbial community analysis. Here we analyzed the gut microbiome between CRC patients and healthy people using 16s rRNA sequencing showing the divergence of microbial composition between case and control. Furthermore, ExtraTrees classifier was performed for the classification of CRC gut microbiome and heathy control, and 13 bacteria were screened as biomarkers for CRC. In addition, 13 biomarkers including 12 bacteria genera and FOBT showed an outstanding sensitivity and specificity for discrimination of CRC patients from healthy controls. This method could be used as a non-invasive method for CRC early diagnosis.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Screening_studies Idioma: En Ano de publicação: 2021 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Screening_studies Idioma: En Ano de publicação: 2021 Tipo de documento: Article