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Perineural invasion (PNI) is a biological characteristic commonly observed in pancreatic cancer. Although PNI plays a key role in pancreatic cancer metastasis, recurrence, and poor postoperative survival, its mechanism is largely unclarified. Clinical sample analysis and endoscopic ultrasonographic elasticity scoring indicated that cancer-associated fibroblasts (CAFs) were closely related to the occurrence of PNI. Furthermore, CAF-derived extracellular vesicles (EVs) were involved in PNI in dorsal root ganglion coculture and mouse sciatic nerve models. Next, we demonstrated that CAFs promoted PNI through extracellular vesicle transmission of PNI-associated transcript (PIAT). Mechanistically, PIAT specifically bound to YBX1 and blocked the YBX1-Nedd4l interaction to inhibit YBX1 ubiquitination and degradation. Furthermore, PIAT enhanced the binding of YBX1 and PNI-associated mRNAs in a 5-methylcytosine (m5C)–dependent manner. Mutation of m5C recognition motifs in YBX1 or m5C sites in downstream target genes reversed PIAT-mediated PNI. Consistent with these findings, analyses using a KPC mouse model demonstrated that the PIAT/YBX1 axis enhanced PNI through m5C modification. Clinical data suggested that the PIAT expression in the serum EVs of patients with pancreatic cancer was associated with the degree of neural invasion and prognosis. Our study revealed the important role of the PIAT/YBX1 signaling axis in the tumor microenvironment (TME) in promoting tumor cell PNI and provided a new target for precise interference with CAFs and RNA methylation in the TME to suppress PNI in pancreatic cancer. Editor's summary: Pancreatic cancer has a very poor prognosis and is often characterized by perineural invasion (PNI); however, the role that PNI plays in postoperative survival has been unexplored. Here, Zheng et al. evaluate the role PNI plays in pancreatic cancer prognosis and show that cancer-associated fibroblasts (CAFs) induce PNI in tumors through CAF-derived extracellular vesicles (EVs). They show that these EVs are packaged with PNI-associated transcript (PIAT) that enhances PNI in mouse models and induces worse survival. PIAT represents a potential target for reducing PNI in pancreatic cancer and perhaps improving survival for patients that requires further study. —Dorothy Hallberg [ABSTRACT FROM AUTHOR]

Background: Metabolic reprogramming is a well-known hallmark of cancer. Systematical identification of clinically relevant metabolic subtypes of Hepatocellular carcinoma (HCC) is critical to understand tumor heterogeneity and develop efficient treatment strategies., Methods: We performed an integrative analysis of genomic, transcriptomic, and clinical data from an HCC patient cohort in The Cancer Genome Atlas (TCGA)., Results: Four metabolic subtypes were defined: mHCC1, mHHC2, mHCC3, and mHCC4. These subtypes had distinct differences in mutations profiles, activities of metabolic pathways, prognostic metabolism genes, and immune features. The mHCC1 was associated with poorest outcome and was characterized by extensive metabolic alterations, abundant immune infiltration, and increased expression of immunosuppressive checkpoints. The mHHC2 displayed lowest metabolic alteration level and was associated with most significant improvement in overall survival in response to high CD8+ T cell infiltration. The mHHC3 was a "cold-tumor" with low immune infiltration and few metabolic alterations. The mHCC4 presented a medium degree of metabolic alteration and high CTNNB1 mutation rate. Based on our HCC classification and in vitro study, we identified palmitoyl-protein thioesterase 1 (PPT1) was a specific prognostic gene and therapeutic target for mHCC1., Conclusion: Our study highlighted mechanistic differences among metabolic subtypes and identified potential therapeutic targets for subtype-specific treatment strategies targeting unique metabolic vulnerabilities. The immune heterogeneities across metabolic subtypes may help further clarify the association between metabolism and immune environment and guide the development of novel strategies through targeting both unique metabolic vulnerabilities and immunosuppressive triggers., Competing Interests: The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest., (Copyright © 2023 Yang, Zeng, Chen, Zheng, Zhou and Chen.)