Why the study?
Understanding interactions among cell types in the tumor microenvironment can suggest innovative therapeutic strategies for colorectal cancer progression and metastasis.
Does disruption of the FGF19/ANGPTL4 axis reduce colorectal cancer liver metastasis in preclinical models?
Does disruption of the FGF19/ANGPTL4 axis reduce colorectal cancer liver metastasis in preclinical models?
The FGF19/ANGPTL4 axis plays a crucial role in colorectal cancer liver metastasis, and its disruption offers a novel therapeutic strategy.
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FGF19-mediated TME interactions may inform future CRC metastasis therapies; leaves open clinical translation pending validation.
Liver and lung are the most common metastatic sites in colorectal cancer (CRC), where the tumor microenvironment (TME) plays a crucial role in the progression and metastasis of CRC. Understanding the interactions between various types of cells in the TME can suggest innovative therapeutic strategies. Using single-cell RNA sequencing (scRNA-Seq) and clinical samples, fibroblast growth factor-19 (FGF19, rodent FGF15) is found to mediate a significant interaction between CRC cells and cancer-associated fibroblasts (CAFs), activating the hepatic stellate cells (HSCs)-to-CAFs differentiation. In various CRC metastatic mouse models, it is shown that FGF15 has a more pronounced effect on liver metastasis compared to pulmonary metastasis. More importantly, the differentially expressed genes (DEGs) are also identified from the RNA-Seq dataset upon the activation of HSCs by FGF19 and compared the DEGs in matched primary and metastatic mRNA samples from patients with CRC liver metastasis (CRCLM), it is found that the ANGPTL4 gene is significantly associated with HSCs activation. Different mouse models also demonstrated the impact of the FGF19/ANGPTL4 axis on the severity of CRCLM. Importantly, disruption of this axis significantly inhibits CRCLM in vivo. This study is among the first to demonstrate the impact of the FGF19/ANGPTL4 axis on CRCLM, offering a novel therapeutic strategy.
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Fan et al. (2024) studied this question.
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