Decoding the microbiome: artificial intelligence-targeted gut microenvironment breakthroughs in personalized cancer...

Area of Science:

• Microbiome Research
• Oncology
• Artificial Intelligence in Medicine

Background:

• The gut microbiome plays a critical role in regulating tumorigenesis and cancer progression.
• It influences tumor development, treatment response (chemoresistance, immunotherapy), and adverse effects via immune and metabolic signaling.
• Multiomics technologies generate complex data requiring advanced analytical methods.

Purpose of the Study:

• To systematically review the gut microbiome's role in tumorigenesis, focusing on colorectal cancer (CRC).
• To explore the gut microbiome as a diagnostic and prognostic biomarker for cancer.
• To present an AI-driven framework for precision intervention and personalized cancer treatment strategies.

Main Methods:

• Systematic literature review of gut microbiome's role in cancer.
• Analysis of multiomics data (metagenomics, metabolomics, transcriptomics) using AI.
• Examination of AI applications in microbiome research, cancer diagnosis, and treatment.

Main Results:

• The gut microbiome is a key regulator of tumorigenesis and influences treatment outcomes.
• AI is essential for analyzing complex microbiome data, exceeding manual analysis capabilities.
• The gut microbiome shows potential as a diagnostic and prognostic biomarker, particularly in CRC.

Conclusions:

• AI-powered analysis of gut microbiome data is vital for understanding cancer.
• This approach enables the development of personalized treatment strategies and precision interventions.
• The gut microbiome holds significant promise as a biomarker for cancer diagnosis and prognosis.