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Background/Aims: TGF-β plays a key role in the progression of various tumors. The main objective of our study was to investigate whether TGF-β is able to regulate N-nitrosodiethylamine (DEN)-induced hepatocellular carcinoma (HCC) progression in a mouse model by inducing Treg cell polarization. Methods: HCC progression, TGF-β and Foxp3 expression levels, serum TGF-β, IL10 and GP73 levels as well as percentage of Treg cells were analyzed in healthy, HCC and HCC+SM-16 mouse groups. The effect of TGF-β on Treg cell polarization in vitro was measured by flow cytometric analysis. The expression of TGF-β and IL10 was identified by IHC in HCC patients and the correlation between TGF-β and IL10 was also assessed. Results: TGF-β expression is up-regulated in a DEN-induced HCC mouse model. TGF-β can promote the differentiation of Foxp3⁺CD4⁺ T cells (Treg cells) in vitro. However, blocking the TGF-β pathway with a specific TGF-β receptor inhibitor, SM-16, reduced HCC progression and the percentage of Treg cells in liver tissue. The correlation between TGF-β and Treg cells was also confirmed in HCC patients and the expression of both TGF-β and IL-10 was shown to be associated with HCC progression. Conclusion: TGF-β is necessary for HCC progression, acting by inducing Treg cell polarization.

ObjectiveHepatocellular carcinoma (HCC) tumour microenvironment (TME) is highly complex with diverse cellular components organising into various functional units, cellular neighbourhoods (CNs). And we wanted to define CN of HCC while preserving the TME architecture, based on which, potential targets for novel immunotherapy could be identified.DesignA highly multiplexed imaging mass cytometry (IMC) panel was designed to simultaneously quantify 36 biomarkers of tissues from 134 patients with HCC and 7 healthy donors to generate 562 highly multiplexed histology images at single-cell resolution. Different function units were defined by topological analysis of TME. CN relevant to the patients’ prognosis was identified as specific target for HCC therapy. Transgenic mouse models were used to validate the novel immunotherapy target for HCC.ResultsThree major types of intratumour areas with distinct distribution patterns of tumorous, stromal and immune cells were identified. 22 cellular metaclusters and 16 CN were defined. CN composed of various types of cells formed regional function units and the regional immunity was regulated reversely by resident Kupffer cells and infiltrating macrophages with protumour and antitumour function, respectively. Depletion of Kupffer cells in mouse liver largely enhances the T cell response, reduces liver tumour growth and sensitises the tumour response to antiprogrammed cell death protein-1 treatment.ConclusionOur findings reveal for the first time the various topological function units of HCC TME, which also presents the largest depository of pathological landscape for HCC. This work highlights the potential of Kupffer cell-specific targeting rather than overall myeloid cell blocking as a novel immunotherapy for HCC treatment.

BackgroundIn pancreatic cancer, methods to predict early recurrence (ER) and identify patients at increased risk of relapse are urgently required.PurposeTo develop a radiomic nomogram based on MR radiomics to stratify patients preoperatively and potentially improve clinical practice.Study TypeRetrospective.PopulationWe enrolled 303 patients from two medical centers. Patients with a disease‐free survival ≤12 months were assigned as the ER group (n = 130). Patients from the first medical center were divided into a training cohort (n = 123) and an internal validation cohort (n = 54). Patients from the second medical center were used as the external independent validation cohort (n = 126).Field Strength/Sequence3.0T axial T1‐weighted (T1‐w), T2‐weighted (T2‐w), contrast‐enhanced T1‐weighted (CET1‐w).AssessmentER was confirmed via imaging studies as MRI or CT. Risk factors, including clinical stage, CA19‐9, and radiomic‐related features of ER were assessed. In addition, to determine the intra‐ and interobserver reproducibility of radiomic features extraction, the intra‐ and interclass correlation coefficients (ICC) were calculated.Statistical TestsThe area under the receiver‐operator characteristic (ROC) curve (AUC) was used to evaluate the predictive accuracy of the radiomic signature in both the training and test groups. The results of decision curve analysis (DCA) indicated that the radiomic nomogram achieved the most net benefit.ResultsThe AUC values of ER evaluation for the radiomics signature were 0.80 (training cohort), 0.81 (internal validation cohort), and 0.78 (external validation cohort). Multivariate logistic analysis identified the radiomic signature, CA19‐9 level, and clinical stage as independent parameters of ER. A radiomic nomogram was then developed incorporating the CA19‐9 level and clinical stage. The AUC values for ER risk evaluation using the radiomic nomogram were 0.87 (training cohort), 0.88 (internal validation cohort), and 0.85 (external validation cohort).Data ConclusionThe radiomic nomogram can effectively evaluate ER risks in patients with resectable pancreatic cancer preoperatively, which could potentially improve treatment strategies and facilitate personalized therapy in pancreatic cancer.Level of Evidence: 4Technical Efficacy: Stage 4J. Magn. Reson. Imaging 2020;52:231–245.

BackgroundThe metastasis of colorectal cancer frequently tends to liver, which is one of the three leading causes of cancer-related deaths worldwide. Growing evidence showed that aspirin could effectively inhibit liver metastasis of colorectal cancer. However, the potential mechanism has not been fully understood.MethodsMouse splenic vein metastasis assay was used to examine the metastatic ability of colon cancer cells in vivo. And wound healing and transwell assay were applied to detect the metastasis potential of C26 and HCT116 colon cancer cell lines in vitro. RT-PCR and western blotting were used to explore Toll-like receptor 4 (TLR4) expression in colon cancer cell lines. The functions of TLR4 in the migration of the colon cancer cell line were analyzed by infecting cells with lentivirus containing TLR4 siRNA.ResultsWe demonstrated that lipopolysaccharides (LPS) could enhance the metastasis potential of C26 and HCT116 colon cancer cell lines. However, aspirin effectively decreased the metastasis capacity of colon cancer cells in vitro and in vivo. We found that the enhancement of LPS on the migration of colon cancer cells by inducing epithelial-mesenchymal transition (EMT) phenotype demonstrated a TLR4-dependent manner. Aspirin treatment lead to the downregulation of TLR4 on C26 cells which resulted in the decrease of C26 cells migration and EMT phenotype that induced by LPS. Additionally, the inhibitory effect from aspirin on the expression of TLR4 on C26 cells leads to the downregulation of NF-κB.ConclusionThe results of our study indicate that LPS origin from intestinal flora may promote the metastasis of colon cancer to liver and aspirin may inhibit the metastasis of colon cancer by inhibiting the expression of TLR4.