Search bioRxiv⌕ Search

Biology subjects

Corry, S. M.

Publications and source records attributed to Corry, S. M..

3 recordsLinked to original sources

Stromal cells modulate innate immune cell phenotype and function in colorectal cancer via the Sialic acid/Siglec axis

BackgroundThe immunosuppressive tumour microenvironment (TME) reduces immune response effectiveness in stromal-rich tumours, including CMS4 colorectal cancer (CRC). Mesenchymal stromal cells (MSCs), precursors to cancer-associated fibroblasts (CAFs), promote cancer progression by suppressing anti-tumour immune responses. Hypersialylation of glycans on tumours engages Siglec receptors on immune cells, driving immune dysfunction, but its role in stromal-mediated immunosuppression remains unclear. MethodsSialic acids and Siglec ligands were measured on CRC tissue, primary human CAFs, and tumour-conditioned-mesenchymal stromal cells (MSCTCS) and CAF using immunohistochemistry and flow cytometry. The effect of stromal cell sialylation on macrophages and NK cells was assessed in ex vivo primary stromal and immune cell co-cultures and expression of Siglec-10 and immune cell phenotype markers and function were measured by flow cytometry. Using an immunocompetent Balb/c CT26 mouse model, we induced tumours with/without conditioned stromal cells, with/without pre-treatment of stromal cells with sialyltransferase inhibitor (3FAX) or sialidase (E610). We assessed the effect of stromal cell sialylation on macrophages and NK cells in the tumour and secondary lymphoid tissues by flow cytometry. ResultsStromal cells, including CAFs, in CRC tumours are highly sialylated compared to epithelial cancer cells and are associated with high expression of ST6GalNAC6. Genetic knockdown of ST6GalNAC6 reduced the expression of stromal cell Siglec-10 ligands in MSCs. CAFs and MSCTCS induced Siglec-10 on macrophages and NK cells and impaired NK cell cytotoxicity. Sialidase treatment reduced Siglec-10 expression, restoring NK cell function. In vivo, desialylation of stromal cells increased macrophage activation (CD11b+CD80+) and reduced immunosuppressive marker expression (CD206, PD-L1, Siglec-G) in lymphoid tissues, indicating sustained systemic anti-tumour immunity. Intratumoural NK cells exhibited high Siglec-G expression and impaired cytotoxicity, and granzyme B expression significantly increased with sialidase treatment of stromal cells. In an inflammatory tumour model, inflammatory tumour-conditioned (iTCS) MSCs promoted metastasis and Siglec-G induction on NK cells and macrophages, both reversed by sialyltransferase inhibition, underscoring the effects of stromal modulation of innate immune cell function in inflammatory tumours. ConclusionStromal cell sialylation modulates innate immune suppression in CRC via the sialic acid/Siglec axis. Targeting stromal sialylation restores NK cytotoxicity and macrophage activation, offering a novel therapeutic strategy for immunosuppressive stromal-rich tumours. What is already known on this topicO_LIThe tumour microenvironment of consensus molecular subtype 4 (CMS4) colorectal cancer (CRC) is associated with high stromal burden, poor immune infiltration, poor response to anti-cancer therapies and thus poor patient prognosis. Immune checkpoint inhibitors (ICIs) have limited impact on stromal-rich CRC tumours, therefore highlighting the need to discover and target novel mechanisms of tumour immune evasion. C_LIO_LIEmerging studies have highlighted that stromal cells in CRC and pancreatic ductal adenocarcinoma (PDAC) are highly sialylated, expressing even higher levels of sialic acid on their cell surface than epithelial cancer cells. Targeting stromal cell sialylation has unveiled promising data in restoring the anti-tumour activity of T cells and macrophages. There is a need to explore the effects of targeting stromal cell sialylation on other immune cells of the TME and to evaluate the Siglec/sialic acid axis of stromal and immune cells in resistant CRC tumours. C_LI What this study addsO_LIWe reveal ST6GalNAC6 as a sialyltransferase enzyme that regulates the production of Siglec-10 ligands in CRC stromal cells. Overexpression of ST6GalNAC6 and Siglec-10 correlated with poor survival in CRC and mesenchymal CRC tumours. C_LIO_LIWe show for the first time an induction of Siglec-10 expression on macrophages and NK cells in stromal-immune co-culture experimental models with hypersialylated MSCs and CAFs in vitro and ex vivo. Targeting stromal cell sialylation increased NK cell cytotoxicity of CRC cells, indicating a direct functional role for stromal cell sialylation in immunosuppression. C_LIO_LIAn immunogenic mouse model of CRC was used to evaluate the potential therapeutic efficacy of targeting stromal cell sialylation in overcoming stromal cell-mediated immunosuppression in CRC. Sialic acid-targeting of stroma slowed tumour growth and reduced inflammation-driven metastasis. This was associated with greater infiltration and activation of macrophages and NK cells with stromal cell sialic acid depletion, highlighting stromal cell sialylation as a mechanism of innate immune cell suppression in stromal-rich CRC. C_LI How this study might affect Research, Practice or PolicyO_LIOur research provides insight into a novel mechanism of stromal cell-mediated immunosuppression of innate immune cells in CRC and may open up new avenues of research for targeting stromal cells in stromal-rich TMEs such as pancreatic, breast and ovarian cancers. C_LIO_LIOur research identifies a stromal cell effect of enhancing Siglec expression on tumour infiltrating innate immune cells as a novel immune checkpoint, which may be useful in identifying potential novel immunotherapeutic combinations in future. C_LI Graphical abstract O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=151 SRC="FIGDIR/small/642985v1_ufig1.gif" ALT="Figure 1"> View larger version (54K): org.highwire.dtl.DTLVardef@cbafc3org.highwire.dtl.DTLVardef@80474forg.highwire.dtl.DTLVardef@1c9d050org.highwire.dtl.DTLVardef@8b6551_HPS_FORMAT_FIGEXP M_FIG C_FIG

cancer biology↗

Viral mimicry redirects immunosuppressed colorectal tumour landscapes towards a proinflammatory and CMS1-like regenerative state

In colorectal cancer (CRC), tumours classifier as consensus molecular subtype 4 (CMS4) have the worst prognosis and derive negligible benefit from chemotherapy. We previously described how repressed interferon-related signalling is associated with increased relapse in CMS4 tumours. Although the viral mimetic poly(I:C) can reduce liver metastasis in vivo, the initial phenotypic changes that underpin its anti-metastatic response remain poorly described, particularly in the immunosuppressed CMS4 tumour microenvironment. Here we characterise lineage-specific anti-metastatic responses induced by poly(I:C), including acute macrophage polarisation and a novel CMS1-like regenerative stem cell state, which drive pro-inflammatory microenvironmental changes in CRC. These insights enabled the development of tractable biomarkers that identify an "immune-warm" patient subset most likely to respond to poly(I:C), enriched for mismatch-repair proficient (pMMR), anti-inflammatory macrophages and CMS4-like features. The viral mimetic poly(I:C) offers a tailored treatment option for CMS4 tumours, by reprogramming stem cell states and activation of an innate-adaptive anti-metastatic response.

cancer biology↗

Evaluation of Gene Set Enrichment Analysis (GSEA) tools highlights the value of single sample approaches over pairwise for robust biological discovery.

BackgroundGene set enrichment analysis (GSEA) tools can be used to identify biological insights from transcriptional datasets and have become an integral analysis within gene expression-based cancer studies. Over the years, additional methods of GSEA-based tools have been developed, providing the field with an ever-expanding range of options to choose from. Although several studies have compared the statistical performance of these tools, the downstream biological implications that arise when choosing between the range of pairwise or single sample forms of GSEA methods remain understudied. MethodsIn this study, we compare the statistical and biological interpretation of results obtained when using a variety of pre-ranking methods and options for pairwise GSEA and fast GSEA (fGSEA), alongside single sample GSEA (ssGSEA) and gene set variation analysis (GSVA). These analyses are applied to a well-established cohort of n=215 colon tumour samples, using the clinical feature of cancer recurrence status, non-relapse (NR) and relapse (R), as an initial exemplar, in conjunction with the Molecular Signatures Database "Hallmark" gene sets. ResultsDespite minor fluctuations in statistical performance, pairwise analysis revealed remarkably similar results when deployed using a range of gene pre-ranking methods or across a range of choices of GSEA versus fGSEA, with the same well-established prognostic signatures being consistently returned as significantly associated with relapse status. In contrast, when the same statistically significant signatures, such as Interferon Gamma Response, were assessed using ssGSEA and GSVA approaches, there was a complete absence of biological distinction between these groups (NR and R). ConclusionsData presented here highlights how pairwise methods can overgeneralise biological enrichment within a group, assigning strong statistical significance to gene sets that may be inadvertently interpreted as equating to distinct biology. Importantly, single sample approaches allow users to clearly visualise and interpret statistical significance alongside biological distinction between samples within groups-of-interest; thus, providing a more robust and reliable basis for discovery research.

cancer biology↗