Oncomicrobial Community Profiling Identifies Clinicomolecular and Prognostic Subtypes of Colorectal Cancer
- Dmitri Mouradov 1, Paul Greenfield 2, Shan Li 3, Eun-Jung In 1, Claire Storey 3, Anuratha Sakthianandeswaren 1, Peter Georgeson 4, Daniel D Buchanan 5, Robyn L Ward 6, Nicholas J Hawkins 7, Iain Skinner 8, Ian T Jones 9, Peter Gibbs 10, Chenkai Ma 11, Yi Jin Liew 11, Kim Y C Fung 11, Oliver M Sieber 12
- Dmitri Mouradov 1, Paul Greenfield 2, Shan Li 3
- 1Personalised Oncology Division, Walter and Eliza Hall Institute of Medical Research, Parkville, Victoria, Australia; Department of Medical Biology, The University of Melbourne, Parkville, Victoria, Australia.
- 2Energy Business Unit, Commonwealth Scientific and Industrial Research Organization, Lindfield, New South Wales, Australia; School of Natural Sciences, Macquarie University, North Ryde, New South Wales, Australia.
- 3Personalised Oncology Division, Walter and Eliza Hall Institute of Medical Research, Parkville, Victoria, Australia.
- 4Colorectal Oncogenomics Group, Department of Clinical Pathology, The University of Melbourne, Melbourne, Victoria, Australia; University of Melbourne Center for Cancer Research, Victorian Comprehensive Cancer Center, Melbourne, Victoria, Australia.
- 5Colorectal Oncogenomics Group, Department of Clinical Pathology, The University of Melbourne, Melbourne, Victoria, Australia; University of Melbourne Center for Cancer Research, Victorian Comprehensive Cancer Center, Melbourne, Victoria, Australia; Genomic Medicine and Family Cancer Clinic, The Royal Melbourne Hospital, Melbourne, Victoria, Australia.
- 6Prince of Wales Clinical School and Lowy Cancer Research Center, UNSW Sydney, Sydney, New South Wales, Australia; Faculty of Medicine and Health, University of Sydney, Sydney, New South Wales, Australia.
- 7School of Medical Sciences, UNSW Sydney, Sydney, New South Wales, Australia.
- 8Department of Surgery, Western Health, Footscray, Victoria, Australia.
- 9Department of Surgery, Royal Melbourne Hospital, Parkville, Victoria, Australia.
- 10Personalised Oncology Division, Walter and Eliza Hall Institute of Medical Research, Parkville, Victoria, Australia; Department of Medical Biology, The University of Melbourne, Parkville, Victoria, Australia; Department of Medical Oncology, Western Health, St Albans, Victoria, Australia; Department of Medical Oncology, Western Health, Footscray, Victoria, Australia.
- 11Molecular Diagnostics Solutions, Commonwealth Scientific and Industrial Research Organization Health and Biosecurity, Westmead, New South Wales, Australia.
- 12Personalised Oncology Division, Walter and Eliza Hall Institute of Medical Research, Parkville, Victoria, Australia; Department of Medical Biology, The University of Melbourne, Parkville, Victoria, Australia; Department of Surgery, The University of Melbourne, Parkville, Victoria, Australia; Department of Biochemistry and Molecular Biology, School of Biomedical Sciences, Monash University, Clayton, Victoria, Australia.
- 0Personalised Oncology Division, Walter and Eliza Hall Institute of Medical Research, Parkville, Victoria, Australia; Department of Medical Biology, The University of Melbourne, Parkville, Victoria, Australia.
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View abstract on PubMed
Summary
This summary is machine-generated.Gut microbiota dysbiosis is linked to colorectal cancer (CRC). This study identified three oncomicrobial community subtypes (OCSs) in CRC tissues, offering a new framework for CRC prognostication and targeted therapies.
Area Of Science
- Microbiome research
- Cancer genomics
- Molecular pathology
Background
- Gut microbiota dysbiosis is associated with colorectal cancer (CRC) development.
- Microbiota-based stratification of CRC and its relation to clinicomolecular features and prognosis requires further clarification.
Purpose Of The Study
- To stratify colorectal cancer (CRC) tissues based on microbiota composition.
- To investigate the relationship between microbiota subtypes and clinicomolecular characteristics, including mutations and molecular subtypes.
- To assess the prognostic implications of identified microbiota subtypes in CRC patients.
Main Methods
- Bacterial 16S rRNA gene sequencing was performed on tumor and normal mucosa from 423 CRC patients (Stage I-IV).
- Tumors were characterized for microsatellite instability (MSI), CpG island methylator phenotype (CIMP), mutations (APC, BRAF, KRAS, PIK3CA, FBXW7, SMAD4, TP53), chromosome instability (CIN), mutation signatures, and consensus molecular subtypes (CMS).
- Microbial clusters (OCSs) were validated in an independent cohort of 293 Stage II/III CRC tumors.
Main Results
- Three distinct oncomicrobial community subtypes (OCSs) were identified: OCS1 (oral pathogens, proteolytic), OCS2 (Firmicutes/Bacteroidetes, saccharolytic), and OCS3 (Escherichia/Pseudescherichia/Shigella, fatty acid β-oxidation).
- OCS1 was associated with right-sided, high-grade, MSI-high, CIMP-positive, CMS1, BRAF V600E, and FBXW7 mutations, and specific MSI-related mutation signatures.
- OCS1 and OCS3 were linked to poorer overall survival in microsatellite-stable and left-sided tumors compared to OCS2, indicating prognostic significance.
Conclusions
- Oncomicrobial community subtypes (OCSs) provide a robust stratification of colorectal cancer (CRC) with distinct clinicomolecular features and outcomes.
- This microbiota-based classification offers a framework for refining CRC prognostication.
- Findings support the development of microbiota-targeted interventions for CRC treatment.
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