KPNA2 Expression Research Articles

Normal male fertility in a mouse model of KPNA2 deficiency.

The nuclear transport of proteins is mediated by karyopherins and has been implicated to be crucial for germ cell and embryonic development. Deletion of distinct members of the karyopherin alpha family has been shown to cause male and female infertility in mice. Using a genetrap approach, we established mice deficient for KPNA2 (KPNA2 KO) and investigated the role of this protein in male germ cell development and fertility. Breeding of male KPNA2 KO mice leads to healthy offsprings in all cases albeit the absence of KPNA2 resulted in a reduction in sperm number by 60%. Analyses of the KPNA2 expression in wild-type mice revealed a strong KPNA2 presence in meiotic germ cells of all stages while a rapid decline is found in round spermatids. The high KPNA2 expression throughout all meiotic stages of sperm development suggests a possible function of KPNA2 during this phase, hence in its absence the spermatogenesis is not completely blocked. In KPNA2 KO mice, a higher portion of sperms presented with morphological abnormalities in the head and neck region, but a severe spermiogenesis defect was not found. Thus, we conclude that the function of KPNA2 in round spermatids is dispensable, as our mice do not show any signs of infertility. Our data provide evidence that KPNA2 is not crucial for male germ cell development and fertility.

Exploring Shared Genetic Features and Molecular Mechanisms between Non-Alcoholic Steatohepatitis and Hepatocellular Carcinoma through Bioinformatics.

Hepatocellular Carcinoma (HCC) is one of the most common malignant tumors in the world, characterized by high incidence, high malignancy, and low survival rate. Currently, 1/4 of adults in the world suffer from Non-Alcoholic Fatty Liver Disease (NAFLD), with an incidence rate of 27% in Asia. We used TCGA and GEO public database data sets to conduct weighted gene coexpression network analysis to identify relevant gene modules, defined the intersection of tumorigenesis-related modules and NASH development-related modules as shared genes, and then used single-factor Cox, LASSO, and multivariate Cox regression analysis screened out core shared genes and verified their prognostic value. We further investigated the relationship between core shared genes and immune infiltration, tumor mutational load, and drug sensitivity. Finally, RT-qPCR was used to verify its mRNA expression in different cell lines. We identified Karyopherin α 2 (KPNA2) as the core shared gene between NASH and HCC. Patients were divided into low-risk groups and high-risk groups based on the expression of KPNA2. The prognosis of the low-risk group was significantly better than that of the highrisk group. Furthermore, we found significant differences in tumor immune cell infiltration, somatic mutations, microsatellite instability, and drug sensitivity between different expression groups. There are very few studies on the molecular mechanism of the relationship between NAFLD and HCC. Our study demonstrates that KPNA2 is a potential therapeutic target and immune-related biomarker for patients with NAFLD and HCC.

KPNA2 promotes the progression of gastric cancer by regulating the alternative splicing of related genes

RNA-binding proteins (RBPs) play critical roles in genome regulation. In this study, we explored the latent function of KPNA2, which is an essential member of the RBP family, in the regulation of alternative splicing (AS) in gastric cancer (GC). We analyzed the role of KPNA2 in regulating differential expression and AS via RNA sequencing (RNA-seq) and improved RNA immunoprecipitation sequencing (iRIP-seq). Clinical specimens were used to analyze the associations between KPNA2 expression and clinicopathological characteristics. CCK8 assays, transwell assays and wound healing assays were performed to explore the effect of KPNA2/WDR62 on GC cell progression. KPNA2 was shown to be highly expressed in GC cells and tissues and associated with lymph node metastases. KPNA2 promoted the proliferation, migration and invasion of GC cells and primarily regulated exon skipping, alternative 3's splice sites (A3SSs), alternative 5' splice sites (A5SSs), and cassette exons. We further revealed that KPNA2 participated in biological processes related to cell proliferation, and the immune response in GC via the regulation of transcription. In addition, KPNA2 preferentially bound to intron regions. Notably, KPNA2 regulated the A3SS AS mode of WDR62, and upregulation of WDR62 reversed the KPNA2 downregulation-induced inhibition of GC cell proliferation, migration and invasion. Finally, we discovered that the AS of immune-related molecules could be regulated by KPNA2. Overall, our results demonstrated for the first time that KPNA2 functions as an oncogenic splicing factor in GC that regulated the AS and differential expression of GC-related genes, and KPNA2 may be a potential target for GC treatment.

Weifuchun suppresses the malignancy of gastric cancer cells by targeting KPNA2 through miR-26a-5p-mediated destabilization and the deactivation of the MAPK signaling pathway

Ethnopharmacological relevanceWeifuchun (WFC) is a Traditional Chinese Medicine commonly used for treating atrophic gastritis and intestinal metaplasia. Till date, its antitumor effect on gastric cancer (GC) and the underlying mechanisms of the effect remains unelucidated. Aim of the studyWe aim to investigate if WFC can suppress the malignancy of stomach cancer cells and dissect the molecular basis and the associated molecular and cellular features. Materials and methodsStomach cancer cell lines and normal gastric epithelial cells were treated with WFC. CCK8 assay, caspase-3 activity assay, adhesion assay, microRNA database analysis, transfection, RT-PCR, Western Blotting, signaling pathway analysis, and in vivo GC model were employed to examine the changes in the features of the gastric cancer cells and the molecular mechanisms of the effect of WFC. ResultsHere we present data demonstrating that WFC suppresses the malignant cellular phenotypes of GC and this inhibitory effect is mediated by downregulating the expression of oncogenic KPNA2. Furthermore, WFC downregulates KPNA2 through miR-26a-5p-mediated gene silencing and the deactivated phosphorylation dynamics of mitogen-activated protein kinase (MAPK). The suppressive effect of WFC on stomach cancer cell behavior was further confirmed in animal model. ConclusionTherefore, WFC can exert inhibitory effect on the malignancy of GC cells by reducing the levels of KPNA2. Moreover, the miR-26a-5p rescue and the deactivation MAPK pathway induced by WFC result in the downregulation of KPNA2 expression. Thus, our findings suggest WFC as a potential treatment option against GC.

Integrated grade-wise profiling analysis reveals potential plasma miR-373-3p as prognostic indicator in Prostate Cancer & its target KPNA2

BackgroundPlasma microRNAs (miRNAs) have recently garnered attention for their potential as stable biomarkers in the context of Prostate Cancer (PCa), demonstrating established associations with tumor grade, biochemical recurrence (BCR), and metastasis. This study seeks to assess the utility of plasma miRNAs as prognostic indicators for distinguishing between high-grade and low-grade PCa, and to explore their involvement in PCa pathogenesis. MethodologyWe conducted miRNA profiling in both plasma and tissue specimens from patients with varying PCa grades. Subsequently, the identified miRNAs were validated in a substantial independent PCa cohort. Furthermore, we identified and confirmed the gene targets of these selected miRNAs through Western blot analysis. ResultsIn our plasma profiling investigation, we identified 98, 132, and 154 differentially expressed miRNAs (DEMs) in high-grade PCa vs. benign prostatic hyperplasia (BPH), low-grade PCa vs. BPH, and high-grade PCa vs. low-grade PCa, respectively. Our tissue profiling study revealed 111, 132, and 257 statistically significant DEMs for the same comparisons. Notably, miR-373-3p emerged as the sole consistently dysregulated miRNA in both plasma and tissue samples of PCa. This miRNA displayed significant overexpression in plasma and tissue samples, with fold changes of 3.584 ± 0.5638 and 8.796 ± 1.245, respectively. Furthermore, we observed a significant reduction in KPNA2 protein expression in PCa. ConclusionOur findings lend support to the potential of plasma miR-373-3p as a valuable biomarker for predicting and diagnosing PCa. Additionally, this miRNA may contribute to the progression of PCa by inhibiting KPNA2 expression, shedding light on its role in the disease.

Immune-phenotyping and transcriptomic profiling of blood monocytes from patients with breast cancer under neoadjuvant chemotherapy

Introduction. Chemotherapy is a common treatment for breast cancer. Chemotherapeutic drugs effect blood monocytes, which are major contributors to cancer pathogenesis. However, to date, pro-tumor or anti-tumor programming by chemotherapy of monocytes is controversial.Aim. To characterize changes in phenotypic and transcriptomic profiles of monocytes of breast cancer patients before and after chemotherapeutic treatment.Materials and methods. In a cohort of 50 breast cancer patients, monocyte populations were identified based on their expression of CD14, CD16, CD163, and HLA-DR evaluated by flow cytometry before and after neoadjuvant chemotherapy. Bulk RNA sequencing was adopted to explore the transcriptomic profile of CD14+ monocytes before and after treatment. After treatment, we observed an increase in the activity of signaling pathways related to lipid metabolism and intracellular transport of vesicles from the endoplasmic reticulum, against the background of a decreased response to exposure to interferon γ and interferon α, and foreign molecules (exogenous nucleic acids, viruses and bacteria).Results. In breast cancer patients, neoadjuvant chemotherapy decreased in CD14+16+HLA-DR+ monocytes. Under cytostatic treatment, increased gene expression of MGLL, NR4A2, UCK1, YOD1, ABCA2, PAPSS2, ATP10 (log2FoldChange ≥0.8; false discovery rate (FDR) ≤0.01) and decreased gene expression of KPNA2, ERCC4, JAGN1, RUBCNL, SMYD4, B3GALT4 (log2FoldChange ≥0.8; FDR ≤0.01) were observed in monocytes of patients. Using discriminant analysis, the relative numbers of CD14+16–, CD14+16+, CD14-16+, CD14+16-HLA-DR+, CD14+16+HLA-DR+ and CD14–16+HLA-DR+ monocytes in the blood were found to be valuable in predicting response to neoadjuvant chemotherapy.Conclusion. Thus, association of blood monocytes with chemotherapeutic treatment in breast cancer was revealed.

Abstract 7269: Karyopherin α-2, a nuclear export protein, promotes cancer progression in lung adenocarcinoma

Abstract Introduction: Karyopherin α-2 (KPNA2), a nucleocytoplasmic transport protein, regulates the nuclear import of macromolecules and contributes to carcinogenesis. Actually, KPNA2 is upregulated in various types of cancer tissues and serum from cancer patients. In particular, it is associated with cancer invasiveness and poor prognosis in patient. Here, we tried to present the molecular mechanism and clinical significance of KPNA2 in lung cancer progression and metastasis. Method: First, we retrospectively analyzed the data extracted from EMR for patients with non-small cell lung cancer receiving curative surgical resection in Uijeongbu and Bucheon St. Mary’s Hospitals (n=165). Immunohistochemistry staining was performed on the tumor microarray samples using antibodies against KPNA2. The functional assay and gene silencing was conducted. Result: The clinical and pathological information of the experimental group is as follows. Based on the TMA staining, mean KPNA2 score was 36.5 [0-240] and median value was 10. Based on the TMA staining, patients with high KPNA2 expression were related to lymphatic invasion (p = 0.00782), advanced stage (p = 0.0202), and current smoker (p = 0.0074). KPNA2 expression was higher in squamous cell carcinoma than in adenocarcinoma histotype. Patients with high KPNA2 expression showed shorter survival than those with low KPNA2 (median OS (months), 72.8 vs 42.2, P < 0.0001; median RFS (months), 72.8 vs 32.1, P < 0.0011) and relevant to high recurrence (recurrence rate (%), 24.7 vs 44.7, p = 0.007). Further, high KPNA2 expression was associated with poor survival outcomes. Knockdown of KPNA2 in lung cancer cells suppressed the invasion and migration of lung cancer cells and inhibited metastasis in a mouse model of lung cancer. Inversely, KPNA2 overexpression promoted cancer cell growth, invasion, and migration. Moreover, ectopic expression of KPNA2 made lung cancer cells less sensitive to anticancer drugs, Talazoparib and Olaparib, indicating that KPNA2 enhances drug resistance in lung cancer cells. Conclusion: Collectively, this study suggest that KPNA2 promotes invasiveness and metastasis and is associated with poor patient outcomes; therefore, KPNA2 will be a good therapeutic target or a biomarker in lung adenocarcinoma. Citation Format: Inyoung Cheon, Seoree Kim, Sengran Cho, Heejin Lee, Jung-Sook Yoon, Ji Hyun Lee, Sang Hoon Chun, Hye Sung Won, Soon Auck Hong, Yoon Ho Ko, Young-Ho Ahn. Karyopherin α-2, a nuclear export protein, promotes cancer progression in lung adenocarcinoma [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2024; Part 1 (Regular Abstracts); 2024 Apr 5-10; San Diego, CA. Philadelphia (PA): AACR; Cancer Res 2024;84(6_Suppl):Abstract nr 7269.

Withaferin A alleviates inflammation and joint injury in arthritic rats via elevating microRNA-1297 to target karyopherin alpha2.

Withaferin A (WFA) is a natural compound separated from the medicinal plant Withania somnifera. As reported, it has the potential to safely cure rheumatoid arthritis (RA) in animal models. Nevertheless, the action mechanism of WFA in treating RA has not been completely illuminated. The study was to explore the action and mechanism of WFA on arthritic rats. First, a collagen-induced arthritis rat model was established. WFA administration alleviated inflammation and injury in arthritic rats. Subsequently, fibroblast synovial cells (FLS) of arthritic rats were separated and cell proliferation and apoptosis abilities were tested. It was found that WFA was available to repress FLS cell proliferation and accelerate apoptosis. MicroRNA-1297 was downregulated in RA patients. Clinical correlation analysis suggested that miR-1297 in the serum of RA patients was negatively associated with pro-inflammatory factors interleukin (IL)-6, IL-17, tumor necrosis factor (TNF)-α, and RA diagnostic indexes (RF, DAS28). In the meantime, miR-1297 had superior diagnostic value in differentiating RA patients from healthy people. Karyopherin α2 (KPNA2) was the downstream target of miR-1297, while miR-1297 negatively modulated KPNA2 expression. Importantly, WFA further restrained KPNA2 expression via elevating miR-1297 in functional rescue experiments, thereby treating inflammation and injury in arthritic rats and repressing FLS cell proliferation and activation. In short, WFA alleviated inflammation and joint damage in arthritic rats via elevating miR-1297 to target KPNA2.

Genetics of sleep medication purchases suggests causality from sleep problems to psychiatric traits.

Over 10% of the population in Europe and in the United States use sleep medication to manage sleep problems. Our objective was to elucidate genetic risk factors and clinical correlates that contribute to sleep medication purchase and estimate the comorbid impact of sleep problems. We performed epidemiological analysis for psychiatric diagnoses, and genetic association studies of sleep medication purchase in 797 714 individuals from FinnGen Release 7 (N = 311 892) and from the UK Biobank (N = 485 822). Post-association analyses included genetic correlation, co-localization, Mendelian randomization (MR), and polygenic risk estimation. In a GWAS we identified 27 genetic loci significantly associated with sleep medication, located in genes associated with sleep; AUTS2, CACNA1C, MEIS1, KIRREL3, PAX8, GABRA2, psychiatric traits; CACNA1C, HIST1H2BD, NUDT12. TOPAZ1 and TSNARE1. Co-localization and expression analysis emphasized effects on the KPNA2, GABRA2, and CACNA1C expression in the brain. Sleep medications use was epidemiologically related to psychiatric traits in FinnGen (OR [95% (CI)] = 3.86 [3.78 to 3.94], p < 2 × 10-16), and the association was accentuated by genetic correlation and MR; depression (rg = 0.55 (0.027), p = 2.86 × 10-89, p MR = 4.5 × 10-5), schizophrenia (rg = 0.25 (0.026), p = 2.52 × 10-21, p MR = 2 × 10-4), and anxiety (rg = 0.44 (0.047), p = 2.88 × 10-27, p MR = 8.6 × 10-12). These results demonstrate the genetics behind sleep problems and the association between sleep problems and psychiatric traits. Our results highlight the scientific basis for sleep management in treating the impact of psychiatric diseases.

Hsa_circ_0022383 promote non-small cell lung cancer tumorigenesis through regulating the miR-495-3p/KPNA2 axis

Hsa_circ_0022383 (circ_0022383) is a newly discovered circRNA. Its functions and relevant molecular mechanisms in tumorigenesis have not been reported. Here we aimed to explore how circ_0022383 regulates the tumorigenesis of non-small-cell lung cancer (NSCLC). We found thatcirc_0022383 expression was dramatically elevated in NSCLC tissues and cell lines. Upregulation of circ_0022383 was associated with poor prognosis in NSCLC patients. Silencing of circ_0022383 repressed cell proliferation and migration in vitro and inhibited oncogenesis and tumor metastasis in vivo. Moreover, our results discovered that circ_0022383 was mainly located in the cytoplasm of NSCLC cells. Mechanistically, circ_0022383 sponged miR-495-3p to modulate KPNA2 expression, thereby regulating NSCLC tumorigenesis and progression. In conclusion, our study demonstrates that circ_0022383 facilitates NSCLC tumorigenesis by regulating the miR-495-3p/KPNA2 axis, providing new insights into NSCLC development.

Hsa_Circ_0000021 Sponges miR-3940-3p/KPNA2 Expression to Promote Cervical Cancer Progression.

Circular RNAs (circRNAs) have a vital role in the occurrence of numerous cancers. However, its function and pattern of expression in cervical cancer (CC) remain unclear. This research aims to investigate the hsa_circ_000002's regulatory mechanism in CC. Hsa_circ_0000021, miR-3940-3p, and KPNA2 expression levels were estimated through qRT-PCR. Nuclear/cytoplasmic separation was conducted to find the subcellular location of hsa_circ_0000021. Western blot was done to estimate the levels of KPNA2 protein. CCK-8, BrdU, wound healing, transwell, and tumor xenograft assays were performed to study how hsa_circ_0000021/miR-3940-3P/KPNA2 function affect CC. Hsa_circ_0000021's targeting relationships with miR-3940-3p and KPNA2 were ascertained through RIP and luciferase experiments. Hsa_circ_0000021 and KPNA2 were overexpressed and inversely associated with the levels of miR-3940-3p in CC. Knocking down either hsa_circ_0000021 or KPNA2 repressed the growth of CC tumors as well as the proliferation, invasion, and migration of CC cells. Silencing miR-3940-3p promoted the malignant proliferation of CC cells. Regarding its mechanism, hsa_circ_0000021 affected the malignant CC cell proliferation via the sponging of miR-3940-3p, which targeted KPNA2. Hsa_circ_0000021 regulates the miR-3940-3p/KPNA2 axis to promote CC occurrence. This potentially is a novel target for CC treatment.

MiR-101-3p targets KPNA2 to inhibit the progression of lung squamous cell carcinoma cell lines.

We herein discuss the impacts of miR-101-3p on the tumorigenesis-related cell behaviors in lung squamous cell carcinoma (LUSC) by repressing KPNA2. TCGA database was utilized to measure miR-101-3p and KPNA2 levels in LUSC tissues and cells. The interaction of miR-101-3p and KPNA2-3'UTR was determined by dual luciferase assay. Western blot evaluated the protein level of KPNA2. MiR-101-3p was under-expressed in LUSC cells while KPNA2 was overexpressed. Western blot confirmed the impact of KPNA2 expression on cancer cell progression. The negative regulatory impact of miR-101-3p on KPNA2 was also verified. In vitro cell function assays revealed the suppressing effect of high miR-101-3p expression on cell invasion, migration and viability, as well as its promoting effect on apoptosis. Up-regulated miR-101-3p weakened the promoting effect of overexpressed KPNA2 on LUSC malignant progression. To conclude, miR-101-3p repressed viability, invasion, and migration, and facilitated cell apoptosis in LUSC by suppressing KPNA2.

The role of KPNA2 as a monotonically changing differentially expressed gene in the diagnosis, risk stratification, and chemotherapy sensitivity of chronic hepatitis B-liver cirrhosis-hepatocellular carcinoma.

Chronic hepatitis B-liver cirrhosis-hepatocellular carcinoma (CLH), commonly called the "liver cancer trilogy", is a crucial evolutionary phase in the emergence of hepatocellular carcinoma (HCC) in China. Previous studies on early diagnostic biomarkers of HCC were limited to the end-stage of HCC and did not focus on the evolutionary process of CLH. 11 monotonically changing differentially expressed genes (MCDEGs) highly correlated with CLH were screened through bioinformatic analysis and KPNA2 was identified for further research. The serum KPNA2 expression in different CLH states was detected by Enzyme linked immunosorbent assay (ELISA). A nomogram model was constructed using univariate and multivariate Cox regression methods. The single-cell RNA-seq and bulk RNA-seq revealed that KPNA2 related to immune infiltration in HCC and may participate in cell cycle pathways in HCC. The serum KPNA2 expression was monotonically upregulated in CLH and was valuable for diagnosing different CLH states. Besides, chronic hepatitis B(CHB) patients, liver cirrhosis (LC) patients, and HCC patients were classified into subgroups with distinct serum KPNA2 expressions. Accordingly, patients with different serum KPNA2 expressions displayed various clinicopathological features. The AUC value of the nomogram model was 0.959 in predicting the likelihood of developing HCC in CHB patients or LC patients. Finally, we found that KPNA2 expression was negatively correlated with the IC50 of four chemotherapeutic drugs in HCC. KPNA2 was a novel serum biomarker for diagnosing different CLH states, monitoring the dynamic evolution of CLH, and a new therapeutic target for intervening in the progression of CLH.

ZNF143 facilitates the growth and migration of glioma cells by regulating KPNA2-mediated Hippo signalling

The disordered expression of ZNF143 is closely related to the malignant progression of tumours. However, the basic control mechanism of ZNF143 in glioma has not yet been clarified. Therefore, we tried to find a new pathway to illustrate the function of ZNF143 in glioma. To explore the function of KPNA2 in the development of glioma, we used survival analysis by the Kaplan‒Meier method to assess the overall survival (OS) of patients with low and high KPNA2 expression in the TCGA and CGGA cohorts. Western blotting assays and RT‒PCR assays were utilized to determine the expression level of KPNA2 in glioma cells. The interaction between ZNF143 and KPNA2 was confirmed by ChIP assays. Proliferation was assessed by CCK-8 assays, and migration was evaluated by wound healing and Transwell assays. Apoptosis was determined by flow cytometry, and the expression level of YAP/TAZ was visualized using an immunofluorescence assay. The expression levels of LATS1, LATS2, YAP1, and p-YAP1 were determined. Patients with low KPNA2 expression showed a better prognosis than those with high KPNA2 expression. KPNA2 was found to be upregulated in human glioma cells. ZNF143 can bind to the promoter region of KPNA2. Downregulation of ZNF143 and KPNA2 can activate the Hippo signalling pathway and reduce YAP/TAZ expression in human glioma cells, thus inducing apoptosis of human glioma cells and weakening their proliferation, migration and invasion. In conclusion, ZNF143 mediates the Hippo/YAP signalling pathway and inhibits the growth and migration of glioma cells by regulating KPNA2.

HBV confers innate immune evasion through triggering HAT1/acetylation of H4K5/H4K12/miR-181a-5p or KPNA2/cGAS-STING/IFN-I signaling.

Viral immune evasion is crucial to the pathogenesis of hepatitis B virus(HBV) infection. However, the role of HBV in the modulation of innate immune evasion is poorly understood. A liver-specific histone acetyltransferase 1 (Hat1) knockout (KO) mouse model and HAT1 KO cell line were established. Immunohistochemistry staining, Western blot analysis, Southern blot analysis, Northern blot analysis, immunofluorescence assays, enzyme-linked immunosorbent assay, reverse transcription-quantitativepolymerase chain reaction, and chromatin immunoprecipitationassays were performed in the livers of mouse models, primary human hepatocytes, HepG2-NTCP,and Huh7 and HepG2 cell lines.HBV-elevated HAT1 increased the expression of miR-181a-5p targeting cyclic GMP-AMP synthase (cGAS) messenger RNA 3'untranslated regions through modulating acetylation of H4K5 and H4K12 in vitro and in vivo, leading to the inability of cGAS-stimulator of interferon genes (STING) pathway and type I interferon (IFN-I) signaling. Additionally, HBV-elevated HAT1 promoted the expression of KPNA2 through modulating acetylation of H4K5 and H4K12 in the system, resulting in nuclear translocation of cGAS, HBx was responsible for the events by HAT1, suggesting that HBV-elevated HAT1 controls the cGAS-STING pathway and IFN-I signaling to modulate viral innate immune evasion.HBV confers innate immune evasion through triggering HAT1/acetylation of H4K5/H4K12/miR-181a-5p or KPNA2/cGAS-STING/IFN-I signaling. Our finding provides new insights into the mechanism by which HBV drives viral innate immune evasion.

Single-cell transcriptome analysis reveals the metabolic changes and the prognostic value of malignant hepatocyte subpopulations and predict new therapeutic agents for hepatocellular carcinoma.

The development of HCC is often associated with extensive metabolic disturbances. Single cell RNA sequencing (scRNA-seq) provides a better understanding of cellular behavior in the context of complex tumor microenvironments by analyzing individual cell populations. The Cancer Genome Atlas (TCGA) and Gene Expression Omnibus (GEO) data was employed to investigate the metabolic pathways in HCC. Principal component analysis (PCA) and uniform manifold approximation and projection (UMAP) analysis were applied to identify six cell subpopulations, namely, T/NK cells, hepatocytes, macrophages, endothelial cells, fibroblasts, and B cells. The gene set enrichment analysis (GSEA) was performed to explore the existence of pathway heterogeneity across different cell subpopulations. Univariate Cox analysis was used to screen genes differentially related to The Overall Survival in TCGA-LIHC patients based on scRNA-seq and bulk RNA-seq datasets, and LASSO analysis was used to select significant predictors for incorporation into multivariate Cox regression. Connectivity Map (CMap) was applied to analysis drug sensitivity of risk models and targeting of potential compounds in high risk groups. Analysis of TCGA-LIHC survival data revealed the molecular markers associated with HCC prognosis, including MARCKSL1, SPP1, BSG, CCT3, LAGE3, KPNA2, SF3B4, GTPBP4, PON1, CFHR3, and CYP2C9. The RNA expression of 11 prognosis-related differentially expressed genes (DEGs) in normal human hepatocyte cell line MIHA and HCC cell lines HCC-LM3 and HepG2 were compared by qPCR. Higher KPNA2, LAGE3, SF3B4, CCT3 and GTPBP4 protein expression and lower CYP2C9 and PON1 protein expression in HCC tissues from Gene Expression Profiling Interactive Analysis (GEPIA) and Human Protein Atlas (HPA) databases. The results of target compound screening of risk model showed that mercaptopurine is a potential anti-HCC drug. The prognostic genes associated with glucose and lipid metabolic changes in a hepatocyte subpopulation and comparison of liver malignancy cells to normal liver cells may provide insight into the metabolic characteristics of HCC and the potential prognostic biomarkers of tumor-related genes and contribute to developing new treatment strategies for individuals.

Retraction Note: Circular RNA circ_0079593 promotes glioma development through regulating KPNA2 expression by sponging miR-499a-5p.

The article "Circular RNA circ_0079593 promotes glioma development through regulating KPNA2 expression by sponging miR-499a-5p, by Z. Yang, C. Li, X.-Y. Fan, L.-J. Liu, published in Eur Rev Med Pharmacol Sci 2020; 24 (3): 1288-1301-DOI: 10.26355/eurrev_202001_20186-PMID: 32096160" has been retracted by the authors as they cannot ensure the reliability of the results (Figure 6C could not be repeatedly verified). The Publisher apologizes for any inconvenience this may cause. https://www.europeanreview.org/article/20186.

Tandem mass tag-based quantitative proteomic analysis of cervical cancer.

Cervical cancer is a common cancer in women caused by high-risk human papillomavirus (Hr-HPV). Many potential biomarkers have been proposed for precancerous lesions and cancer diagnosis and some of these markers studied for prognosis. This study determined potential biomarkers for cervical cancer diagnosis in regard to HPV genotype by using isobaric labeling quantitative proteomics. in the current study, there were 75 formalin fixed paraffin embedded (FFPE) uterine cervical samples that used to determine the 14 HPV genotypes and the viral load of each genotype was determined. The tandem mass tag (TMT) proteomic work was performed on four FFPE samples of cervical cancer and four FFPE of control samples. The validation of biomarkers from cervical proteome were evaluated using Immunohistochemistry (IHC) testing. The most frequent HPV genotype among all other genotypes was HPV 16. There were 2753 proteins quantified by TMT and 336 of these proteins had significant differential abundances. KPNA2, MCM2, COL1A1, and DCN were selected based on functional enrichment analysis and validated by Immunohistochemistry (IHC) testing. The staining of IHC confirmed the upregulation of KPNA2 and MCM2 expression in cervical neoplasia and the downregulation of DCN and COL1A1 in some cervical cancer group subjects. The KPNA2 marker was compared to other previously reported biomarkers and is a putative biomarker to be validated in further studies, specifically the relationship with HPV load.

Decreased Expression of Karyopherin-α 1 is Related to the Malignant Degree of Cervical Cancer and is Critical for the Proliferation of Hela Cells.

Karyopherin α (KPNA) proteins are involved in nucleocytoplasmic trafficking and are critical for protein subcellular localization. Recent studies have suggested that KPNA proteins are abnormally expressed in various solid tumors. The objective of this study was to investigate the expression of KPNA1 and KPNA2 in cervical cancer tissue with different histologic grades and cell lines, as well as the effects of the KPNA1 expression level on Hela cell proliferation. We collected the medical data of 106 patients with cervical cancer and investigated the protein expression of KPNA1 and KPNA2 by immunohistochemistry and western blot. The results revealed a significantly lower expression of KPNA1 in cervical cancer compared to normal tissue. Conversely, stronger staining intensity for KPNA2 was observed in cervical tumor samples. The expression levels of KPNA1 and KPNA2 were significantly associated with the tumor histologic grade. The weakest KPNA1 expression and strongest staining for KPNA2 were observed in grade III tumor tissue. The expression levels of KPNA1 were lower in Hela and C33A cells compared with normal human cervical epithelial cells; however, the expression of KPNA2 exhibited an opposite trend. The up-regulation of KPNA1 significantly suppressed the proliferation of Hela cells and relevant proteins expression, as well as promoted transportation of IRF3 into nucleus. Our results suggest the downregulation of KPNA1 expression is related to the malignant degree of cervical cancer and is closely associated with the proliferation of cervical cancer cells.

Comprehensive analysis of karyopherin alpha family expression in lung adenocarcinoma: Association with prognostic value and immune homeostasis.

Background: Karyopherin alpha (KPNA), a nuclear transporter, has been implicated in the development as well as the progression of many types of malignancies. Immune homeostasis is a multilevel system which regulated by multiple factors. However, the functional significance of the KPNA family in the pathogenesis of lung adenocarcinoma (LUAD) and the impact of immune homeostasis are not well characterized. Methods: In this study, by integrating the TCGA-LUAD database and Masked Somatic Mutation, we first conducted an investigation on the expression levels and mutation status of the KPNA family in patients with LUAD. Then, we constructed a prognostic model based on clinical features and the expression of the KPNA family. We performed functional enrichment analysis and constructed a regulatory network utilizing the differential genes in high-and low-risk groups. Lastly, we performed immune infiltration analysis using CIBERSORT. Results: Analysis of TCGA datasets revealed differential expression of the KPNA family in LUAD. Kaplan-Meier survival analyses indicated that the high expression of KPNA2 and KPNA4 were predictive of inferior overall survival (OS). In addition, we constructed a prognostic model incorporating clinical factors and the expression level of KPNA4 and KPNA5, which accurately predicted 1-year, 3-years, and 5-years survival outcomes. Patients in the high-risk group showed a poor prognosis. Functional enrichment analysis exhibited remarkable enrichment of transcriptional dysregulation in the high-risk group. On the other hand, gene set enrichment analysis (GSEA) displayed enrichment of cell cycle checkpoints as well as cell cycle mitotic in the high-risk group. Finally, analysis of immune infiltration revealed significant differences between the high-and low-risk groups. Further, the high-risk group was more prone to immune evasion while the inflammatory response was strongly associated with the low-risk group. Conclusions: the KPNA family-based prognostic model reflects many biological aspects of LUAD and provides potential targets for precision therapy in LUAD.