Rectal cancer–specific subtyping using transcriptomics datasets derived from treatment-naive patients to assess novel prognostic signatures and key differences to CMS-based subtyping.

Abstract

235 Background: Molecular subtyping in colorectal cancer provided novel insights into tumour heterogeneity and delivered new prognostic signatures. Existing methods (such as CMS-based subtyping) were generated without much consideration of differences in expression profiles between colon and rectal cancer tissues. Moreover, stage 2 and 3 rectal cancer patients often receive neo-adjuvant radio-chemotherapy which may impact on gene expression when determined from resection samples. Methods: We investigated possible differences between treatment-naive colon and rectal cancers at the molecular level. We collected mRNA expression profiles for rectal and colon cancer samples available from Gene Expression Omnibus (GEO) database (n=2139) and applied batch-effect correction using ComBat. Results: To explore whether CMS subtypes changed after neoadjuvant chemoradiation in rectal cancers, we analysed rectal tumour samples from 40 patients where both pre-operative biopsies and resections after chemoradiotherapy were available. More than half of samples shifted from CMS1-3 to CMS4 after patients received chemoradiotherapy. We therefore focused our further analysis on treatment-naive rectal cancers. We observed that CMS-based subtyping showed different prognostic potential in treatment-naïve colon vs. rectal cancers. Rectal cancers had significantly better disease-free survival (DFS) when assigned to CMS 2 or 4 compared to colon cancers. This suggested differences in disease biology that were not captured by CMS subtyping. We next aimed to identify molecular subtypes in rectal cancers, and identified three prevalent rectal-specific subtypes (RSS) by applying hierarchical clustering in 182 untreated rectal cancer samples. We used gene co-expression network analysis to define functional gene modules to identify these subtypes. Based on the gene modules’ signatures, we built a classifier to predict our new subtypes in different transcriptomics datasets (n=692). We observed that RSS1 had better disease-free survival (DFS), whereas RSS2 exhibited worse short-term DFS (less than 3 years) and RSS3 showed worse long-term DFS (3+ years). We discovered the deactivation of EGFR, MAPK and WNT pathways on RSS3 as well as high CD8+ infiltration and low CD4+ counts in these tumours. RSS2 exhibits low plasma cell and regulatory T-cell abundance and high activations of TGF-β, NF-κB, and TNF-α. We also observed high EMT, angiogenesis and inflammatory response in this subtype. Lastly, RSS1 showed high expression on MYC target and low activity on angiogenesis genes. Moreover, the immune and inflammatory responses were also lower than in the other subtypes. Conclusions: Rectal-specific subtypes are of prognostic importance and provide new insight into molecular disease pathways and potential targets.