Proteomic profile of TGF-ß1 treated lung fibroblasts identifies novel markers of activated fibroblasts in the silica exposed rat lung.

We performed liquid chromatography-tandem mass spectrometry (LC-MS/MS) on control and TGF-ß1-exposed rat lung fibroblasts to identify proteins differentially expressed between cell populations. A total of 196 proteins were found to be differentially expressed in response to TGF-ß1 treatment. Guided by these results, we next determined whether similar changes in protein expression were detectable in the rat lung after chronic exposure to silica dust. Of the five proteins selected for further analysis, we found that levels of all proteins were markedly increased in the silica-exposed rat lung, including the proteins for the very low density lipoprotein receptor (VLDLR) and the transmembrane (type I) heparin sulfate proteoglycan called syndecan 2 (SDC2). Because VLDLR and SDC2 have not, to our knowledge, been previously linked to the pathobiology of silicosis, we next examined whether knockdown of either gene altered responses to TGF-ß1 in MRC-5 lung fibroblasts. Interestingly, we found knockdown of either VLDLR or SDC2 dramatically reduced collagen production to TGF-ß1, suggesting that both proteins might play a novel role in myofibroblast biology and pathogenesis of silica-induced pulmonary fibrosis. In summary, our findings suggest that performing LC-MS/MS on TGF-ß1 stimulated lung fibroblasts can uncover novel molecular targets of activated myofibroblasts in silica-exposed lung.

Ac-SDKP increases α-TAT 1 and promotes the apoptosis in lung fibroblasts and epithelial cells double-stimulated with TGF-ß1 and silica.

Crystalline silica (SiO2) particles have very strong toxicity to the lungs, and silicosis is an excessive pulmonary interstitial remodeling disease that follows persistent SiO2 injury. We showed here that DNA double strand breaks (DSBs) and apoptosis were aggravated during rat silicosis induced by SiO2 exposure. Ac-SDKP attenuates lung parenchymal distortion and collagen deposition, and decreases the expression of γH2AX, p21, and cleaved caspase-3, as well as improves the reduction of pulmonary function caused by silicosis. In vitro, we found an evolution of smooth muscle actin α (α-SMA), collagen type I (Col I) in both A549 and MRC-5 cells in response to transforming growth factor-beta 1 (TGF-ß1) + SiO2. Only A549 cells showed any reduction in the rate of apoptosis induced by the double stimulation, because of the anti-apoptotic effects of TGF-ß1. N-acetyl-seryl-aspartyl-lysyl-proline (Ac-SDKP) is an anti-fibrotic tetrapeptide. It also has the ability to promote the apoptosis of leukemia cells. However its role in promoting cell apoptosis in silicosis is still unknown. We here found that Ac-SDKP could induce cell apoptosis and inhibit fibrotic response in A549 and MRC-5 cells treated with TGF-ß1 + SiO2, and these effects depended on regulation of α-tubulin acetyltransferase 1 (α-TAT1). These findings suggest that Ac-SDKP may have therapeutic value in the treatment of silicotic fibrosis.

The tumor microenvironment of hepatocellular carcinoma and its targeting strategy by CAR-T cell immunotherapy.

Hepatocellular carcinoma (HCC) is the major subtype of liver cancer, which ranks sixth in cancer incidence and third in mortality. Although great strides have been made in novel therapy for HCC, such as immunotherapy, the prognosis remains less than satisfactory. Increasing evidence demonstrates that the tumor immune microenvironment (TME) exerts a significant role in the evolution of HCC and has a non-negligible impact on the efficacy of HCC treatment. In the past two decades, the success in hematological malignancies made by chimeric antigen receptor-modified T (CAR-T) cell therapy leveraging it holds great promise for cancer treatment. However, in the face of a hostile TME in solid tumors like HCC, the efficacy of CAR-T cells will be greatly compromised. Here, we provide an overview of TME features in HCC, discuss recent advances and challenges of CAR-T immunotherapy in HCC.

An anoikis-based signature for predicting prognosis in hepatocellular carcinoma with machine learning.

Background: Hepatocellular carcinoma (HCC) is a common malignancy with high mortality worldwide. Despite advancements in diagnosis and treatment in recent years, there is still an urgent unmet need to explore the underlying mechanisms and novel prognostic markers. Anoikis has received considerable attention because of its involvement in the progression of human malignancies. However, the potential mechanism of anoikis-related genes (ANRGs) involvement in HCC progression remains unclear. Methods: We use comprehensive bioinformatics analyses to determine the expression profile of ANRGs and their prognostic implications in HCC. Next, a risk score model was established by least absolute shrinkage and selection operator (Lasso) Cox regression analysis. Then, the prognostic value of the risk score in HCC and its correlation with clinical characteristics of HCC patients were further explored. Additionally, machine learning was utilized to identify the outstanding ANRGs to the risk score. Finally, the protein expression of DAP3 was examined on a tissue microarray (TMA), and the potential mechanisms of DAP3 in HCC was explored. Results: ANRGs were dysregulated in HCC, with a low frequency of somatic mutations and associated with prognosis of HCC patients. Then, nine ANRGs were selected to construct a risk score signature based on the LASSO model. The signature presented a strong ability of risk stratification and prediction for overall survival in HCC patients.Additionally, high risk scores were closely correlated with unfavorable clinical features such as advanced pathological stage, poor histological differentiation and vascular invasion. Moreover, The XGBoost algorithm verified that DAP3 was an important risk score contributor. Further immunohistochemistry determined the elevated expression of DAP3 in HCC tissues compared with nontumor tissues. Finally, functional analyses showed that DAP3 may promote HCC progression through multiple cancer-related pathways and suppress immune infiltration. Conclusion: In conclusion, the anoikis-based signature can be utilized as a novel prognostic biomarker for HCC, and DAP3 may play an important role in the development and progression of HCC.