The stromal microenvironment endows pancreatic neuroendocrine tumors with spatially specific invasive and metastatic phenotypes.

Cancer-associated fibroblasts (CAFs) play an important role in a variety of cancers. However, the role of tumor stroma in nonfunctional pancreatic neuroendocrine tumors (NF-PanNETs) is often neglected. Profiling the heterogeneity of CAFs can reveal the causes of malignant phenotypes in NF-PanNETs. Here, we found that patients with high stromal proportion had poor prognosis, especially for that with infiltrating stroma (stroma and tumor cells that presented an infiltrative growth pattern and no regular boundary). In addition, myofibroblastic CAFs (myCAFs), characterized by FAP+ and α-SMAhigh, were spatially closer to tumor cells and promoted the EMT and tumor growth. Intriguingly, only tumor cells which were spatially closer to myCAFs underwent EMT. We further elucidated that myCAFs stimulate TGF-ß expression in nearby tumor cells. Then, TGF-ß promoted the EMT in adjacent tumor cells and promoted the expression of myCAFs marker genes in tumor cells, resulting in distant metastasis. Our results indicate that myCAFs cause spatial heterogeneity of EMT, which accounts for liver metastasis of NF-PanNETs. The findings of this study might provide possible targets for the prevention of liver metastasis.

SEM1 promotes tumor progression of glioblastoma via activating the akt signaling pathway.

INTRODUCTION: SEM1, a 26 S proteasome complex subunit, is an essential regulator of tumor growth. However, the underlying mechanism of SEM1 mediated glioma progression remains to be elucidated. METHODS: Data from bulk-tumor, single-cell, and spatial sequencing were analyzed to reveal correlations between SEM1 and clinical traits, cell types, and functional enrichment in gliomas. Immunohistochemistry was used to assess SEM1 expression. MTT, flow cytometry, apoptosis signature, epithelial-mesenchymal transition signature, Transwell, and organoid assays were used to study SEM1's effect on the malignant behavior of glioma (U251 and LN229) cells. Weighted gene co-expression network analysis (WGCNA) was conducted to construct an SEM1-mediated malignant regulatory network. Accordingly, survival analysis, therapeutic response, drug prediction, and molecular docking analyses were performed. RESULTS: High SEM1 expression was observed in gliomas and correlated with worse clinical features and prognosis. Moreover, SEM1 is mainly localized in malignant cells (glioma cells). SEM1 knockout inhibited the proliferation, invasion, and migration of glioma cells and promoted their apoptosis. We also constructed an SEM1 malignant regulatory network that was bridged by the PI3K-Akt pathway. The network had a high prognostic value. Finally, drugs potentially targeting SEM1 were screened and docked to SEM1. CONCLUSIONS: SEM1 is critically involved in the proliferation, apoptosis, invasion, and migration of glioma cells. The SEM1 malignant regulatory network shows high significance for the prognosis and treatment of gliomas.