Single-cell and bulk transcriptome sequencing identifies two epithelial tumor cell states and refines the consensus molecular classification of colorectal cancer

The consensus molecular subtype (CMS) classification of colorectal cancer is based on bulk transcriptomics. The underlying epithelial cell diversity remains unclear. We analyzed 373,058 single-cell transcriptomes from 63 patients, focusing on 49,155 epithelial cells. We identified a pervasive genetic and transcriptomic dichotomy of malignant cells, based on distinct gene expression, DNA copy number and gene regulatory network. We recapitulated these subtypes in bulk transcriptomes from 3,614 patients. The two intrinsic subtypes, iCMS2 and iCMS3, refine CMS. iCMS3 comprises microsatellite unstable (MSI-H) cancers and one-third of microsatellite-stable (MSS) tumors. iCMS3 MSS cancers are transcriptomically more similar to MSI-H cancers than to other MSS cancers. CMS4 cancers had either iCMS2 or iCMS3 epithelium; the latter had the worst prognosis. We defined the intrinsic epithelial axis of colorectal cancer and propose a refined ‘IMF’ classification with five subtypes, combining intrinsic epithelial subtype (I), microsatellite instability status (M) and fibrosis (F).

A single-cell transcriptomic analysis of 63 patients with colorectal cancer classifies tumor cells into two epithelial subtypes. An improved tumor classification based on epithelial subtype, microsatellite stability and fibrosis reveals differences in pathway activation and metastasis.

Characterization of a patient-specific T-cell and tumor cell coculture model of immuno-cytotoxicity in colorectal cancer

e14178

Background: Colorectal Cancer (CRC) is the third most commonly diagnosed cancer in the world. Yet, CRC has been difficult to treat with immunotherapy, as majority (85%) of CRC are Microsatellite stable (MSS), lowly immunogenic and do not respond well. To investigate immuno-cytotoxicity in MSS cancers, we set up an ex vivo co-culture model using patient-derived tumor epithelial cells and autologous tumor-infiltrating lymphocytes (TILs). Aims: To perform phenotypic and functional characterisation of the model, and show we are able to modulate immuno-cytotoxicity. Methods: Fresh tumor, adjacent normal and/or liver metastasis samples were collected and freshly dissociated from 29 colorectal cancer patients undergoing surgery. TILs and tumor epithelial cells were grown in culture. Weekly immunophenotyping of TILs was performed via flow cytometry and data was analysed to identify temporal changes in proportions of cell types. To modulate cytotoxicity, epithelial cell lines were co-cultured with autologous and allogeneic TILs at various effector:target ratios with and without anti-PD1 (Pembrolizumab). Caspase dye was used to detect apoptosis and measure cell death. Results: TILs from most patients were successfully expanded, with a theoretical potential of up to 10,000 times. CD4+ T cells were selectively expanded, while CD8+ T cells decreased in proportion over time. A select group of patients showed an opposite trend. Cell type proportions in metastases mirrored those of the primary tumour while NK cells expanded more in tumour samples than normal samples. Selection proceeded up to 3 weeks then decreased. In the cytotoxicity experiment, we show that cell death is increased at higher effector:target ratios in the presence of autologous TILs. Addition of Pembrolizumab further modulates cytotoxicity in vitro. Conclusions: We have developed and characterised an autologous T cell and epithelial cell co-culture system to evaluate immuno-cytotoxicity in colorectal cancer. This will allow screening of perturbations for improved immuno-cytotoxicity in colorectal cancer.

Mining the Human Gut Microbiota for Immunomodulatory Organisms

Within the human gut reside diverse microbes coexisting with the host in a mutually advantageous relationship. Evidence has revealed the pivotal role of the gut microbiota in shaping the immune system. To date, only a few of these microbes have been shown to modulate specific immune parameters. Herein, we broadly identify the immunomodulatory effects of phylogenetically diverse human gut microbes. We monocolonized mice with each of 53 individual bacterial species and systematically analyzed host immunologic adaptation to colonization. Most microbes exerted several specialized, complementary, and redundant transcriptional and immunomodulatory effects. Surprisingly, these were independent of microbial phylogeny. Microbial diversity in the gut ensures robustness of the microbiota's ability to generate a consistent immunomodulatory impact, serving as a highly important epigenetic system. This study provides a foundation for investigation of gut microbiota-host mutualism, highlighting key players that could identify important therapeutics.