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Biology subjects

Lannagan, T. R. M.

Publications and source records attributed to Lannagan, T. R. M..

3 recordsLinked to original sources

TGFβ signaling in cancer-associated fibroblasts drives a hepatic gp130-dependent pro-metastatic inflammatory program in CMS4 colorectal cancer subtype

Current molecular classification of colorectal cancer (CRC), the Consensus Molecular Subtypes (CMS), has highlighted the biological heterogeneity of CRC and enables patient stratification based on the molecular subtype of their tumor. The CMS4 subtype shows the worst prognosis and is linked to the highest occurrence of hepatic metastasis but the underlying molecular mechanisms remain unclear. In this study, we show that the molecular features that largely define CMS4 classification, i.e. abundance of cancer-associated fibroblasts (CAFs) in the tumor microenvironment (TME) and active TGF{beta} signaling, converge to promote liver metastasis. Studying TGF{beta} signaling in CRC patient-derived CAFs from the primary tumor revealed that all three TGF{beta} isoforms induce expression of different IL-6 cytokine family members, particularly IL-6 and IL-11. This primary tumor-derived IL-6 and IL-11 in turn induce upregulation of myeloid chemoattractants, including SAA1, in hepatocytes. Chemical inhibition and genetic ablation experiments revealed that gp130, the IL-6 family of cytokine co-receptor, through JAK/STAT signaling is crucial for the induction of neutrophil chemoattractants by hepatocytes and mediates the migration of potential pro-metastatic neutrophils towards the liver. This IL-6 family-JAK/STAT stromal signaling axis is active in both a murine model of CMS4 as well as in human CRC patients in vivo. Combined, our data reveal that TGF{beta} signaling in CAFs actively contributes to the formation of a neutrophil-dependent, pre-metastatic hepatic niche and that this mechanism might play a role in the metastatic phenotype of CMS4 subtype CRC.

cancer biology↗

Metabolic profiling stratifies colorectal cancer and reveals adenosylhomocysteinase as a therapeutic target

With colorectal cancer (CRC) being the second most common cause of cancer-related deaths worldwide1, there is an urgent need for better diagnostic tools and new, more targeted therapies. Here we used genetically engineered mouse models (GEMMs), and multimodal mass spectrometry-based metabolomics to study the impact of common genetic drivers of CRC on the metabolic landscape of the intestine. We show that unsupervised metabolic profiling can stratify intestinal tissues according to underlying genetic alterations, and use mass spectrometry imaging (MSI) to identify tumour, stromal and normal adjacent tissues. By identifying ions that drive variation between normal and transformed tissues, we found dysregulation of the methionine cycle to be a hallmark of APC-mutant CRC, and propose one of its enzymes, i.e. adenosylhomocysteinase (AHCY), as a new therapeutic target. Collectively, we show that the profound genotype-dependent alterations in both lipid and small molecule metabolism in CRC may be exploited for tissue classification with no need for ion identification, and we applied further data analysis to expose a novel metabolic vulnerability of CRC.

cancer biology↗

Molecular phenotyping of colorectal neoplasia shows dynamic and adaptive cancer stem cell population admixture

Intestinal homeostasis is underpinned by LGR5+ve crypt-base columnar stem cells (CBCs), but following injury, dedifferentiation results in the emergence of LGR5-ve regenerative stem cell populations (RSCs), characterised by fetal transcriptional profiles. Neoplasia hijacks regenerative signalling, so we assessed the distribution of CBCs and RSCs in mouse and human intestinal tumors. Using combined molecular-morphological analysis we demonstrate variable expression of stem cell markers across a range of lesions. The degree of CBC-RSC admixture was associated with both epithelial mutation and microenvironmental signalling disruption, and could be mapped across disease molecular subtypes. The CBC-RSC equilibrium was adaptive, with a dynamic response to acute selective pressure, and adaptability was associated with chemoresistance. We propose a fitness landscape model where individual tumors have equilibrated stem cell population distributions along a CBC-RSC phenotypic axis. Cellular plasticity is represented by position shift along this axis, and is influenced by cell-intrinsic, extrinsic and therapeutic selective pressures.

cancer biology↗