High KIAA1522 expression predicts a poor prognosis in patients with hepatocellular carcinoma

Exosomes: Another intercellular lipometabolic communication mediators in digestive system neoplasms?

Neoplasms are one of the most concerned public health problems worldwide. Digestive system neoplasms, with a high morbidity and mortality, is one of the most common malignant tumors in human being. It is found that exosomes act as an intercellular communication media to carry the metabolic and genetic information of parental cells to target cells. Likely, exosomes participate in lipid metabolism and regulates multiple processes in digestive system neoplasms, including the information transmission among cancer cells, the formation of neoplastic microenvironment, and the neoplastic biological behaviors like metastasis, invasion, and the chemotherapy resistance. In this review, we firstly introduce the main mechanisms whereas exosomes act as intercellular lipometabolic communication mediator in digestive system neoplasms. Thereafter we introduce the relationship between exosomes lipid metabolism and various type of digestive system neoplasms, including gastric cancer, hepatocellular carcinoma, pancreatic cancer, and colorectal cancer. Eventually, we summarized and prospected the development and implication of exosomes in digestive system neoplasms. The further research of exosomes as intercellular lipid metabolism mediator will contribute to accurate and efficient diagnosis and treatment of digestive system neoplasms.

Expression patterns and immunological characterization of PANoptosis -related genes in gastric cancer

Background

Accumulative studies have demonstrated the close relationship between tumor immunity and pyroptosis, apoptosis, and necroptosis. However, the role of PANoptosis in gastric cancer (GC) is yet to be fully understood.

Methods

This research attempted to identify the expression patterns of PANoptosis regulators and the immune landscape in GC by integrating the GSE54129 and GSE65801 datasets. We analyzed GC specimens and established molecular clusters associated with PANoptosis-related genes (PRGs) and corresponding immune characteristics. The differentially expressed genes were determined with the WGCNA method. Afterward, we employed four machine learning algorithms (Random Forest, Support Vector Machine, Generalized linear Model, and eXtreme Gradient Boosting) to select the optimal model, which was validated using nomogram, calibration curve, decision curve analysis (DCA), and two validation cohorts. Additionally, this study discussed the relationship between infiltrating immune cells and variables in the selected model.

Results

This study identified dysregulated PRGs and differential immune activities between GC and normal samples, and further identified two PANoptosis-related molecular clusters in GC. These clusters demonstrated remarkable immunological heterogeneity, with Cluster1 exhibiting abundant immune infiltration. The Support Vector Machine signature was found to have the best discriminative ability, and a 5-gene-based SVM signature was established. This model showed excellent performance in the external validation cohorts, and the nomogram, calibration curve, and DCA indicated its reliability in predicting GC patterns. Further analysis confirmed that the 5 selected variables were remarkably related to infiltrating immune cells and immune-related pathways.

Conclusion

Taken together, this work demonstrates that the PANoptosis pattern has the potential as a stratification tool for patient risk assessment and a reflection of the immune microenvironment in GC.

New Endothelial Corneal Dystrophy in a Chinese Family

PURPOSE

The aim of this study was to characterize the clinical presentation of atypical endothelial corneal dystrophy (ECD) and to identify possible associated genetic variants in a Chinese family.

METHODS

Six affected members, 4 unaffected first-degree relatives, and 3 spouses who were enrolled in this study underwent ophthalmic examinations. Genetic linkage analysis was performed for 4 affected and 2 unaffected members, and whole-exome sequencing (WES) was performed for 2 patients to identify disease-causing variants. Candidate causal variants were verified using Sanger sequencing in family members and 200 healthy controls.

RESULTS

The mean age at disease onset was 16.5 years. The early phenotype of this atypical ECD was characterized by multiple small white translucent spots located in Descemet membrane of the peripheral cornea. These spots coalesced to form opacities with variable shapes, and eventually merged along the limbus. Subsequently, translucent spots appeared in central Descemet membrane and accumulated, causing diffuse polymorphous opacities over time. Finally, significant endothelial decompensation led to diffuse corneal edema. A heterozygous missense variant in the KIAA1522 gene (c.1331G>A; p.R444Q) was identified by WES, which was present in all 6 patients but was absent in the unaffected members and healthy controls.

CONCLUSIONS

The clinical features of atypical ECD are unique compared with those of known corneal dystrophies. Moreover, genetic analysis identified the c.1331G>A variant in KIAA1522 , which may be responsible for the pathogenesis of this atypical ECD. Thus, we propose this is a new form of ECD based on our clinical findings.

Development of novel DNAJB6-KIAA1522-p-mTOR three-protein prognostic prediction models for CRC

BACKGROUND

To evaluate the prognostic value of DNAJB6, KIAA1522, and p-mTOR expression for colorectal cancer (CRC) and to develop effective prognostic models for CRC patients.

METHODS

The expression of DNAJB6, KIAA1522, and p-mTOR (Ser2448) was detected using immunohistochemistry in 329 CRC specimens. The prognostic values of the three proteins in the training cohort were assessed using Kaplan-Meier curves and univariate and multivariate Cox proportional hazards models. Prediction nomogram models integrating the three proteins and TNM stage were constructed. Subsequently, calibration curves, receiver operating characteristic (ROC) curves, the concordance index (C-index), and decision curve analysis (DCA) were used to evaluate the performance of the nomograms in the training and validation cohorts.

RESULTS

The three proteins DNAJB6, KIAA1522, and p-mTOR were significantly overexpressed in CRC tissues (each P < 0.01), and their expression was an independent prognostic factor for overall survival (OS) and disease-free survival (DFS) (each P < 0.05). The area under the ROC curves (AUC) and C-index values were approximately 0.7. Additionally, the calibration curves showed that the predicted values and the actual values fit well. Furthermore, DCA curves indicated that the clinical value of the nomogram models was higher than that of TNM stage. Overall, the novel prediction models have good discriminability, sensitivity, specificity and clinical utility.

CONCLUSION

The nomograms containing DNAJB6, KIAA1522, and p-mTOR may be promising models for predicting postoperative survival in CRC.

Poor Prognostic Biomarker KIAA1522 Is Associated with Immune Infiltrates in Hepatocellular Carcinoma

Background

The prognosis is poor for hepatocellular carcinoma (HCC), a tumor and cancer associated with inflammation that is common. New data showed that significant levels of KIAA1522 were expressed in HCC tissues and cell lines, suggesting that KIAA1522 may be a highly useful prognostic marker for HCC. However, its biochemical processes and impacts on the immune system go deeper.

Objective

To verify the significance of KIAA1522 in HCC and investigate its related carcinogenic mechanisms.

Methods

Studies examining the relationship between KIAA1522 expression and clinical-pathologic characteristics in HCC have been checked in the Cancer Genome Atlas (TCGA) database. A receiver operating characteristic (ROC) curve was used to assess the diagnostic efficacy of KIAA1522 in HCC. Western blot analysis was used to find the presence of the KIAA1522 protein in the tumor and paraneoplastic tissues of eight randomly chosen HCC patients. The GSVA program in R language was used to evaluate the relationship between KIAA1522 and immune cell infiltration in HCC. We searched the Search Tool for the Retrieval of Interacting Genes (STRING) database for interacting proteins connected to the expression of KIAA1522. Pathways were involved in the enrichment analysis of KIAA1522 to anticipate potential mechanisms through which KIAA1522 may affect immunological infiltration.

Results

Our study found that KIAA1522 was commonly elevated in HCC tumor tissues and that it also signaled a bad outcome. We found an inverse link between KIAA1522 and cytotoxic cells and an inverse relationship between KIAA1522 and Th2 cell infiltration. In STRING analysis, the top 5 coexpressed proteins of KIAA1522 were BAIAP2, NCK2, TSNAXIP1, POGK, and KLHL31. The effect of KIAA1522 on HCC may entail cell cycle alteration, an immunological response, and suppression of the PPAR signaling pathway.

Conclusion

High expression of KIAA1522 was linked to HCC immune cell infiltration, disease progression, and a poor prognosis.

Exosome-mediated circTTLL5 transfer promotes hepatocellular carcinoma malignant progression through miR-136-5p/KIAA1522 axis

BACKGROUND

Exosomes have been recognized as messengers for intercellular communication in tumor microenvironment. Exosomal circRNAs are reported to be important in tumors. Here, this study identified the potential function of exosomal circular RNA tubulin tyrosine ligase like 5 (circTTLL5) in hepatocellular carcinoma (HCC) progression.

METHODS

The expression of circTTLL5, microRNA (miR)- 136-5p and KIAA1522 was detected using qRT-PCR and Western blot assays. Exosomes were isolated by ultracentrifugation, and qualified by transmission electron microscopy (TEM) and Western blot. Cell proliferation, apoptosis and metastasis were investigated using cell counting kit-8, colony formation, flow cytometry, would healing, transwell and Western blot assays, respectively. The interaction between miR-136-5p and circTTLL5 or KIAA1522 was confirmed by dual-luciferase reporter and pull-down assays. In vivo experiment was performed using Xenograft models.

RESULTS

CircTTLL5 was incorporated into exosomes and highly expressed in HCC tissues and cells. CircTTLL5 knockdown suppressed HCC cell proliferation and metastasis in vitro and impeded tumor growth in mice. CircTTLL5 could be delivered to recipient cells via exosomes, and treatment of circTTLL5-elevated exosomes could attenuate the anticancer effects of circTTLL5 knockdown on HCC in vitro and in vivo. Mechanically, circTTLL5 could sponge miR-136-5p, which controlled its down-stream target KIAA1522. MiR-136-5p inhibition reversed the effects of circTTLL5 knockdown on HCC cells. Besides that, miR-136-5p re-expression inhibited HCC cell growth and metastasis, which was abated by KIAA1522 overexpression.

CONCLUSION

Exosomal circTTLL5 promoted HCC progression through miR-136-5p/KIAA1522 axis, suggesting that blockage of the exosome-mediated transfer of circTTLL5 might be a therapeutic target for HCC.

Plasma Insulin/Erythrocytic Aldose Reductase Ratio as a Predictor for Hepatocellular Carcinoma among Type II Diabetics and Hepatitis C Virus-infected Patients

BACKGROUND

Hepatocellular carcinoma (HCC) is a possible oncogenic progression during persistent hepatitis C-infection +/- type II diabetes mellitus (DM). We aim to investigate the plasma insulin, erythrocytic aldose reductase (AR) and sorbitol dehydrogenase (SDH) as possible predictive tools for HCC in hepatitis C-infected patients (HCV) +/- DM. Erythrocytes (RBCs) were adopted as a possible vehicle for pre-malignant variations being of short life span.    Methods: The study included 20 healthy control and 100 patients of 48-64 years old, divided into 5 equal groups as; type II DM, HCC, HCC with DM, DM- HCV infected and non-DM HCV infected. Plasma levels of AFP and insulin were measured.

RESULTS

It showed an elevated AR, significant reduction of SDH in RBCs and plasma of DM patients. These values were greatly elevated among HCV, HCC, diabetic HCV, and diabetic HCC patients. All DM patients showed elevated insulin levels than normoglycemic controls.

CONCLUSION

The study substantiated the use of RBCs as a vehicle for early diagnostic markers better than plasma. We recommend the use of insulin/ erythrocytic AR ratio as a new laboratory marker for predicting HCC among type II diabetics or non-treated HCV-infected patients with control insulin/ erythrocytic AR ratio by each laboratory.

Identification and Validation of Hypoxia-Related lncRNA Signature as a Prognostic Model for Hepatocellular Carcinoma

Hepatocellular carcinoma (HCC) is one of the most general malignant tumors. Hypoxia is a critical clinical characteristic and acts as a significant part in the development and cancers’ prognosis. The prognostic value and biological functions of hypoxia-related lncRNAs in hepatocellular carcinoma is little known. Thus, we aim to establish a hypoxia-related lncRNA signature to predict the HCC patients’ survival. First, we extracted the hypoxia-related genes and expression of lncRNAs from the MSigDB and TCGA database, respectively. The co-expression analysis among hypoxia-related mRNAs and lncRNAs was employed to identify hypoxia-related lncRNAs. Then, comprehensive analyses of lncRNAs expression level and survival data were applied to establish the signature. We built a prognostic signature on the foundation of the three differently expressed hypoxia-related lncRNAs. Kaplan-Meier curves indicated the low-risk group is associated with better survival. The 1−, 3−, and 5 years AUC values of the signature were 0.805, 0.672 and 0.63 respectively. The test set performed consistent outcomes. A nomogram was built grounded on the risk score and clinicopathological features. GSEA showed the immune-related pathways in high-risk group, while metabolism-related pathways in low-risk group. Besides, we found this model was correlated with the clinical features, tumor immune cell infiltration, immune checkpoints, and m6A-related genes. Finally, a novel signature based on hypoxia-related lncRNAs was established and validated for predicting HCC patients’ survival and may offer some useful information for immunotherapies.