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Noninvasive early detection of colorectal cancer through gut microbiome-derived biomarkers.

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Annals of medicine and surgery (2012) 2026 Vol.88(1) p. 997-998
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Mehmood MS, Hajj F

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Colorectal cancer (CRC) remains a major global burden, with 1.9 million new cases and 935000 deaths reported in 2024.

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  • Sensitivity 91%

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BibTeX ↓ RIS ↓
APA Mehmood MS, Hajj F (2026). Noninvasive early detection of colorectal cancer through gut microbiome-derived biomarkers.. Annals of medicine and surgery (2012), 88(1), 997-998. https://doi.org/10.1097/MS9.0000000000004353
MLA Mehmood MS, et al.. "Noninvasive early detection of colorectal cancer through gut microbiome-derived biomarkers.." Annals of medicine and surgery (2012), vol. 88, no. 1, 2026, pp. 997-998.
PMID 41497123

Abstract

Colorectal cancer (CRC) remains a major global burden, with 1.9 million new cases and 935000 deaths reported in 2024. Despite available screening tools, nearly 45% of cases are still diagnosed at advanced stages, where the 5-year survival rate falls below 14%, compared to >90% in early detection. The limitations of colonoscopy its invasiveness, cost, and poor compliance (<40% globally) demand innovative, noninvasive diagnostic solutions. Gut microbiome profiling has recently emerged as a transformative approach, with specific bacterial signatures such as , and showing AUC values between 0.85 and 0.93 for early CRC identification. Integrating metagenomic and metabolomic data enhances diagnostic accuracy to 89% sensitivity and 91% specificity. Moreover, altered microbial metabolites including decreased short-chain fatty acids and elevated secondary bile acids correlate with a 2.3- to 3.1-fold higher risk of carcinogenesis. Novel CRISPR-Cas13a-based assays further allow sub-attomolar detection of microbial RNA transcripts, underscoring a new frontier in microbiome-driven cancer diagnostics. Collectively, gut microbiome-derived biomarkers represent a noninvasive, mechanistically grounded, and highly sensitive platform for early CRC detection with significant translational potential.

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