MELK promotes HCC carcinogenesis through modulating cuproptosis-related gene DLAT-mediated mitochondrial function.

Cuproptosis caused by copper overload is mediated by a novel regulatory mechanism that differs from previously documented mechanisms regulating cell death. Cells dependent on mitochondrial respiration showed increased sensitivity to a copper ionophore elesclomol that induced cuproptosis. Maternal embryonic leucine zipper kinase(MELK) promotes tumorigenesis and tumor progression through the PI3K/mTOR pathway, which exerts its effects partly by targeting the pyruvate dehydrogenase complex(PDHc) and reprogramming the morphology and function of mitochondria. However, the role of MELK in cuproptosis remains unclear. Here, we validated that elevated MELK expression enhanced the activity of PI3K/mTOR signaling and subsequently promoted Dihydrolipoamide S-Acetyltransferase (DLAT) expression and stabilized mitochondrial function. This regulatory effect helped to improve mitochondrial respiration, eliminate excessive intracellular reactive oxygen species (ROS), reduce intracellular oxidative stress/damage and the possibility of mitochondria-induced cell fate alternations, and ultimately promote the progression of HCC. Meanwhile, elesclomol reduced translocase of outer mitochondrial membrane 20(TOM 20) expression and increased DLAT oligomers. Moreover, the above changes of MELK to HCC were abolished by elesclomol. In conclusion, MELK enhanced the levels of the cuproptosis-related signature(CRS) gene DLAT (especially the proportion of DLAT monomer) by activating the PI3K/mTOR pathway, thereby promoting elesclomol drug resistance, altering mitochondrial function, and ultimately promoting HCC progression.

[Causes and Countermeasures of Complications After Bariatric Surgery].

Roux-en-Y gastric bypass and laparoscopic sleeve gastrectomy characterized by simple operation and few postoperative complications have gradually become the two most commonly used surgical methods in clinical practice.A series of complications often occur after bariatric surgery,including gallstone disease,anemia,malnutrition,gastroesophageal reflux disease,kidney stones,and birth defects in offspring of women of childbearing age.There are controversies regarding the causes and countermeasures of these complications.This article mainly reviews the risk factors and countermeasures for the complications after bariatric surgery.

Artificial intelligence can accurately distinguish IgA nephropathy from diabetic nephropathy under Masson staining and becomes an important assistant for renal pathologists.

Introduction: Hyperplasia of the mesangial area is common in IgA nephropathy (IgAN) and diabetic nephropathy (DN), and it is often difficult to distinguish them by light microscopy alone, especially in the absence of clinical data. At present, artificial intelligence (AI) is widely used in pathological diagnosis, but mainly in tumor pathology. The application of AI in renal pathological is still in its infancy. Methods: Patients diagnosed as IgAN or DN by renal biopsy in First Affiliated Hospital of Zhejiang Chinese Medicine University from September 1, 2020 to April 30, 2022 were selected as the training set, and patients who diagnosed from May 1, 2022 to June 30, 2022 were selected as the test set. We focused on the glomerulus and captured the field of the glomerulus in Masson staining WSI at 200x magnification, all in 1,000 × 1,000 pixels JPEG format. We augmented the data from training set through minor affine transformation, and then randomly split the training set into training and adjustment data according to 8:2. The training data and the Yolov5 6.1 algorithm were used to train the AI model with constant adjustment of parameters according to the adjusted data. Finally, we obtained the optimal model, tested this model with test set and compared it with renal pathologists. Results: AI can accurately detect the glomeruli. The overall accuracy of AI glomerulus detection was 98.67% and the omission rate was only 1.30%. No Intact glomerulus was missed. The overall accuracy of AI reached 73.24%, among which the accuracy of IgAN reached 77.27% and DN reached 69.59%. The AUC of IgAN was 0.733 and that of DN was 0.627. In addition, compared with renal pathologists, AI can distinguish IgAN from DN more quickly and accurately, and has higher consistency. Discussion: We constructed an AI model based on Masson staining images of renal tissue to distinguish IgAN from DN. This model has also been successfully deployed in the work of renal pathologists to assist them in their daily diagnosis and teaching work.

Prediction of tumor recurrence by distinct immunoprofiles in liver transplant patients based on mass cytometry.

Recurrence of hepatocellular carcinoma (HCC) after liver transplantation (LT) is a marker of poor prognosis. However, the reliable biomarkers of post-LT HCC recurrence remain to be identified. In this study, serial peripheral blood samples from the LT recipients with and without HCC recurrence were collected at five time points. Single-cell mass cytomertry (CyTOF) was utilized for the in-depth analysis of peripheral blood monocellular cells (PBMCs). CyTOF analysis showed that at 3 weeks post-LT, the activated immune cell population was increased, while the fraction of immune cells with suppressive functions (myeloid-derived suppressive cells) was reduced. The post-LT immune composition in patients with LT for HCC was enormously different from that in patients with LT for causes other than HCC. Furthermore, at 3 weeks after LT, compared with patients without recurrence, the patients with HCC recurrences were high in two subsets of T cells: CD57+ HLA-DR+ CD8+ and CD28+γδ. The CD57+ HLA-DR+ CD8+ T cells presented high levels of perforin, granzyme B, and Ki-67 and displayed a highly cytotoxic and proliferative phenotype, while the CD28+γδ T cells had reduced levels of IFN-γ and, hence, were less activated compared to CD28- cells. Based on these findings, we concluded that analyzing the PBMCs of LT recipients by CyTOF can predict the post-LT HCC recurrence. The distinct immune features can stratify patients with the risk of HCC recurrence at 3 weeks after LT, which will help clinician in further management plan and improve the prognosis of patients.

CLIC1 Drives Angiogenesis in Hepatocellular Carcinoma by Modulating VEGFA.

Background: Chloride intracellular channel 1 (CLIC1) is upregulated in hepatocellular carcinoma (HCC). The present study aimed to investigate the role of CLIC1 in HCC angiogenesis. Materials and Methods: Immunohistochemistry (IHC) was used to test the expression of CLIC1 and CD34 in 67 pairs of HCC and paracarcinoma tissues. The prognosis data of the patients were used to analyze the clinical relevance of CLIC1. We built a coculture system of HCC cells and endothelial cells to explore the migration of endothelial cells. Conditioned media (CMs) from HCC cells was then collected to assess endothelial cell migration. Experiments were then conducted to confirm the relationship between CLIC1 and angiogenesis in a subcutaneous tumor model. Results: CLIC1 expression was higher in HCC tumor tissues than in paracarcinoma tissues. Patients with increased CLIC1 expression showed a higher microvascular density (MVD; P = .013). Kaplan-Meier curves indicated that patients with lower expression of CLIC1 had better overall survival (P < .001) and recurrence-free survival (P = .046). Vascular endothelial growth factor A (VEGFA) in CMs from CLIC1-knockdown cells was lower than in the control group, while VEGFA in CMs from CLIC1 overexpression cells was higher than in the control group. CMs from CLIC1 overexpression cell lines promote the in vitro migration of EA.hy926 cells. Meanwhile, adding Bevacizumab to CMs from CLIC1 overexpression cells significantly inhibited this migration. The growth of xenograft tumors derived from CLIC1-knockdown Huh7 cells was restrained compared with the control group (P < .001). IHC staining showed MVD was higher in tumors with CLIC1 overexpression. Conclusion: CLIC1 is a promising biomarker for predicting the prognosis of HCC patients, and expression of CLIC1 correlates with angiogenesis in HCC through regulating VEGFA.

Quantitative proteomic profiling of hepatocellular carcinoma at different serum alpha-fetoprotein level.

PURPOSE: Hepatocellular carcinoma (HCC) is characterized by a poor long-term prognosis and high mortality rate. Serum alpha-fetoprotein (AFP) levels show great prognostic value in patients undergoing hepatectomy. This study aims to explore proteomic profiling in HCC samples based on AFP subgroups and identify potential key targets involved in HCC progression. METHODS: Twelve paired tumor and adjacent noncancerous tissue samples were collected from patients with HCC who underwent primary curative resection from January 2012 to December 2013. Clinical information was curated from four tissue microarrays to conduct survival analysis based on serum AFP levels. TMT-based quantitative proteomic analyses and bioinformatics analyses were performed to comprehensively profile molecular features. Immunohistochemistry was carried out to validate protein expression of identified targets. Kaplan-Meier survival analysis was performed to assess the overall survival and recurrence-free survival based on protein expressions. RESULTS: AFP (400 ng/mL) was a turning point in prognosis, metabolic- and invasion-associated pathways. The mass spectrometry analysis yielded a total of 5573 identified proteins. Annotations of 151 differentially expressed proteins in tumors and 95 proteins in paracancerous tissues (1.2-fold) showed similarities in biological processes, cellular components, molecular functions. Furthermore, differentially expressed hub proteins with five innovatively nominated druggable targets (C1QBP, HSPE1, GLUD2 for tumors and CHDH, ITGAL for paracancerous tissues), of which four (C1QBP, HSPE1, CHDH, ITGAL) targets were associated with poor overall survival (all Log-rank P < 0.05). CONCLUSIONS: Our quantitative proteomics analyses identified four key prognostic biomarkers in HCC and provide opportunities for translational medicine and new treatment.

Proteomics-based identification of the role of osteosarcoma amplified-9 in hepatocellular carcinoma recurrence.

Hepatocellular carcinoma (HCC) is one of the most prevalent malignancies; its recurrence is associated with high mortality and poor recurrence-free survival and is affected by multisystem and multilevel pathological changes. To identify the key proteins associated with tumor recurrence and the underlying mechanisms, proteomic profiling of tumor specimens from early recurrence and nonrecurrence patients was performed in this study. Proteomics was applied to identify differentially expressed proteins during the early recurrence of HCC after surgery. Osteosarcoma amplified-9 (OS-9) was discovered, and the correlation between OS-9 expression and the clinicopathological characteristics of patients was analyzed. Invasion and migration were examined in SMMC-7721 cells with and without OS-9 overexpression. Proteomics was performed once again using SMMC-7721 cells with OS-9 overexpression to further analyze the proteins with altered expression. OS-9 was overexpressed in the early recurrence group, and OS-9 overexpression was associated with high serum alpha-fetoprotein levels and poor recurrence-free survival in 196 patients with HCC. The invasion and migration abilities of SMMC-7721 cells were enhanced in the OS-9 overexpression group. Bioinformatic functional enrichment methods, including Gene Ontology annotation and Kyoto Encyclopedia of Genes and Genomes pathway analysis, revealed that the hypoxia-inducible factor 1 (HIF-1) and tumor necrosis factor (TNF) signaling pathways were activated in the OS-9 overexpression group. The migration and invasion capacities of OS-9 overexpressed HCC cell line were weakened while treated with HIF-1α or TNF-α inhibitors. Conclusion: Our results suggest that the overexpression of OS-9 is related to HCC recurrence, thereby contributing to the migration and invasion capacities of HCC cell line by regulating the HIF-1 and TNF pathways.

Interleukin-2 inducible T-cell kinase: a potential prognostic biomarker and tumor microenvironment remodeling indicator for hepatocellular carcinoma.

BACKGROUND: The heterogeneous tumor microenvironment (TME) contributes to poor prognosis of hepatocellular carcinoma (HCC). However, determining the modulation of TME during HCC progression remains a challenge. METHODS: Herein, the stromal score and immune score of HCC samples from The Cancer Genome Atlas database were calculated using the ESTIMATE algorithm and differentially expressed genes (DEGs) were obtained. Key DEGs were identified based on a protein-protein interaction network and survival analysis. Immunohistochemistry was carried out using primary samples to evaluate key DEGs expression. The CIBERSORT algorithm was applied to evaluate immune components. Gene Set Enrichment Analysis (GSEA) and correlation analysis were carried out to determine the relationship between key DEGs and tumor-infiltrating immune cells (TICs). RESULTS: The stromal score, immune score and estimate score correlated significantly with 1-year recurrence-free survival of patients with HCC. Interleukin-2 inducible T-cell kinase (ITK) was identified as the most prognostic DEG for patients with HCC. GSEA revealed that genes in the high ITK subgroup were enriched in inflammatory-immunological terms. CIBERSORT analysis identified nine TIC subsets that correlated with ITK expression. CONCLUSION: We identified ITK as a novel indicator for early post-surgery tumor recurrence and microenvironment remodeling in HCC, providing a potential therapeutic target to treat HCC.