Abstract 578P
Background
Early evidence suggested a role of tissue-resident microbiota (TRM) in the development of colorectal cancer. However, its presence in colorectal cancer metastases (CRCM) is poorly reported. Here, we aim to explore and characterize the TRM in CRCM.
Methods
From several biobanks in Belgium, we retrospectively collected 237 frozen samples, including 104 CRC primary tumor (PT) and 133 patient-matched CRCM (liver CRCM=98). Hepatocellular carcinoma (HCC, n=50), cholangiocarcinoma (CGC, n=23) and breast liver metastases (BLM, n = 16) were also collected. 82 CRCM were collected prospectively. The V4 region 16S rRNA gene was amplified and sequenced. We strictly applied sterile conditions from sample collection to sequencing, with the integration of negative controls (n=253). Additionally, 257 duplicated random samples were processed twice by independent experimenters. Sequencing results were processed with DADA2 to identify bacterial amplicon sequence variants (ASVs).
Results
ASVs were identified in all tissues. Microbial composition was significantly different between tumor samples and negative controls (PERMANOVA, p=0.0001). PT presented the highest bacterial biomass. ASV sharing frequency between PT and CRCM was significantly higher within than between patients (Wilcoxon test, p=0.007), suggesting potential bacterial translocation from PT to CRCM. The most prevalent PT bacteria were also the most shared in matched CRCM. No difference was observed between CRCM locations (liver, others). TRM of HCC, CGC and BLM were characterized by an ultra-low bacterial biomass, and distinct phyla compared to CRCM. In CRCM, the presence of Ruminoccocus gnavus (Rg) was associated with overall survival after CRCM resection (median 83.6 vs 41.6 months, HR: 0.35 IC95:0.13-0.90, p=0.024).
Conclusions
We observe a specific TRM in CRCM, shared with matched PT and suggesting bacterial translocation from PT to CRCM. In this cohort, the presence of Rg in CRCM seems prognostic after CRCM resection. Further experiments are needed to confirm and detail these results.
Clinical trial identification
Editorial acknowledgement
Legal entity responsible for the study
M. van den Eynde.
Funding
Fondation contre le cancer, Belgique.
Disclosure
All authors have declared no conflicts of interest.
Resources from the same session
570P - Subclasses of microsatellite-instability colorectal cancer with unique molecular features and immune cell infiltration patterns
Presenter: Kui Wu
Session: Poster session 10
571P - Artificial intelligence-powered analysis of tumor lymphocytes infiltration: A translational analysis of AtezoTRIBE trial
Presenter: Martina Carullo
Session: Poster session 10
572P - Neoantigen heterogeneity among subtypes in colorectal cancer
Presenter: Fuqiang Li
Session: Poster session 10
574P - Comparative analysis of the tumor immune microenvironment (TIME) in primary and metastatic sites of microsatellite stable (MSS) and microsatellite instability-high (MSI) colorectal cancer
Presenter: Marwan Fakih
Session: Poster session 10
575P - Impact of immunological alterations and post-operative biomarkers on long-term outcomes in patients with locally advanced rectal cancer: Results from the STAR-01 study cohort
Presenter: Francesca Negri
Session: Poster session 10
576P - Prognostic values of a modified diagnostic biopsy-adapted immunoscore based on double immunohistochemical staining in patients with locally advanced rectal cancer
Presenter: Qiang Zeng
Session: Poster session 10
577P - Systematically assessing the intratissue microbiota in 937 patients with colorectal cancer
Presenter: Huanzi Zhong
Session: Poster session 10
579P - A clinico-imaging predictive artificial intelligence model of relapse in colon cancer using baseline CT scans
Presenter: América Bueno Gómez
Session: Poster session 10
580P - Prognosis in stage II colorectal cancer: The effect of the primary tumor location and biomarkers
Presenter: Vincent Liégeois
Session: Poster session 10