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Using New Technologies to Analyze Gut Microbiota and Predict Cancer Risk

Cells, ISSN: 2073-4409, Vol: 13, Issue: 23
2024
  • 1
    Citations
  • 0
    Usage
  • 2
    Captures
  • 2
    Mentions
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    Social Media
Metric Options:   Counts1 Year3 Year

Metrics Details

  • Citations
    1
  • Captures
    2
  • Mentions
    2
    • Blog Mentions
      1
      • Blog
        1
    • News Mentions
      1
      • News
        1

Most Recent News

Semnan University of Medical Sciences Researcher Highlights Research in Cancer (Using New Technologies to Analyze Gut Microbiota and Predict Cancer Risk)

2024 DEC 16 (NewsRx) -- By a News Reporter-Staff News Editor at Disease Prevention Daily -- A new study on cancer is now available. According

Review Description

The gut microbiota significantly impacts human health, influencing metabolism, immunological responses, and disease prevention. Dysbiosis, or microbial imbalance, is linked to various diseases, including cancer. It is crucial to preserve a healthy microbiome since pathogenic bacteria, such as Escherichia coli and Fusobacterium nucleatum, can cause inflammation and cancer. These pathways can lead to the formation of tumors. Recent advancements in high-throughput sequencing, metagenomics, and machine learning have revolutionized our understanding of the role of gut microbiota in cancer risk prediction. Early detection is made easier by machine learning algorithms that improve the categorization of cancer kinds based on microbiological data. Additionally, the investigation of the microbiome has been transformed by next-generation sequencing (NGS), which has made it possible to fully profile both cultivable and non-cultivable bacteria and to understand their roles in connection with cancer. Among the uses of NGS are the detection of microbial fingerprints connected to treatment results and the investigation of metabolic pathways implicated in the development of cancer. The combination of NGS with machine learning opens up new possibilities for creating customized medicine by enabling the development of diagnostic tools and treatments that are specific to each patient’s microbiome profile, even in the face of obstacles like data complexity. Multi-omics studies reveal microbial interactions, biomarkers for cancer detection, and gut microbiota’s impact on cancer progression, underscoring the need for further research on microbiome-based cancer prevention and therapy.

Bibliographic Details

Hemmati, Mohammad Amin; Monemi, Marzieh; Asli, Shima; Mohammadi, Sina; Foroozanmehr, Behina; Haghmorad, Dariush; Oksenych, Valentyn; Eslami, Majid

MDPI AG

Biochemistry, Genetics and Molecular Biology

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