Gut Microbiome Diagnostic Biomarkers for Colorectal Cancer.

Fusobacterium nucleatum (Fn) and Peptostreptococcus anaerobius (P. anaerobius) showed significant correlations with CRC stage and metastasis.

• Both bacteria were identified as potential diagnostic biomarkers for CRC.
• Correlations were observed with both disease stage and metastatic status.
• Bacterial biomarkers were identified through fecal metagenomic sequencing datasets and validated using fluorescence quantitative PCR.
• The study enrolled 180 participants: 65 healthy controls, 65 colorectal adenoma patients, and 50 CRC patients.

P. anaerobius exhibited the highest diagnostic value among individual microbes when combined with Fn.

• Among individual microbial markers examined, P. anaerobius had the highest diagnostic value.
• The combination of P. anaerobius with Fn yielded superior diagnostic performance compared to individual markers alone.
• Diagnostic value was assessed using comprehensive statistical methodologies.
• Fecal samples were analyzed using fluorescence quantitative polymerase chain reaction to confirm biomarker relative abundance.

Differentially abundant bacterial species were identified across healthy controls, adenoma, and CRC patient groups.

• The study analyzed fecal microbial biomarkers associated with CRC progression across three distinct groups.
• Groups included 65 healthy controls (HC), 65 colorectal adenoma patients, and 50 CRC patients.
• An evolutionary model for CRC progression was established based on differential microbial abundance.
• A treatment efficacy and prognostication model was also established from the microbial data.

Gold standard diagnostic methods for CRC have limited sensitivity and specificity.

• Current gold standard methods include invasive procedures and serum biomarkers.
• These methods are characterized by limited sensitivity and specificity for CRC detection.
• This limitation motivated the investigation of noninvasive fecal microbial biomarkers as an alternative approach.
• The authors emphasize the need for precision screening tailored to high-risk cohorts to improve early detection and intervention strategies.

Fecal microbial markers were established as applicable for both diagnosing CRC and monitoring its progression.

• The study culminated in the establishment of an evolutionary model for CRC progression.
• A treatment efficacy and prognostication model supported by comprehensive statistical methodologies was established.
• The approach used fecal metagenomic sequencing datasets to identify potential bacterial biomarkers, followed by validation using fluorescence quantitative PCR.
• The findings underscore the potential application of fecal microbial markers, particularly Fn and P. anaerobius, for both diagnosis and progression monitoring.