Krüppel-like factor 2 promotes cell proliferation in hepatocellular carcinoma through up-regulation of c-myc

Prediction of CAF-related genes in immunotherapy and drug sensitivity in hepatocellular carcinoma: a multi-database analysis

This study aims to identify the cancer-associated fibroblasts (CAF)-related genes that can affect immunotherapy and drug sensitivity in hepatocellular carcinoma (HCC). Expression data and survival data associated with HCC were obtained in The Cancer Genome Atlas (TCGA) and Gene Expression Omnibus (GEO) databases. Weighted correlation network analysis (WGCNA) analysis was performed to obtain CAF-related genes. Least Absolute Shrinkage and Selection Operator (LASSO) regression was used for regression analysis and risk models. Subsequently, Gene Set Enrichment Analysis (GSEA) analysis, Gene Set Enrichment Analysis (ssGSEA) analysis, Tumor Immune Dysfunction and Exclusion (TIDE) analysis and drug sensitivity analysis were performed on the risk models. Survival analysis of CAF scores showed that the survival rate was lower in samples with high CAF scores than those with low scores. However, this difference was not significant, suggesting CAF may not directly influence the prognosis of HCC patients. Further screening of CAF-related genes yielded 33 CAF-related genes. Seven risk models constructed based on CDR2L, SPRED1, PFKP, ENG, KLF2, FSCN1 and VCAN, showed significant differences in immunotherapy and partial drug sensitivity in HCC. Seven CAF-related genes may have important roles in immunotherapy, drug sensitivity and prognostic survival in HCC patients.

PRC2 mediated KLF2 down regulation: a therapeutic and diagnostic axis during tumor progression

Surgery and chemo-radiotherapy are used as the common first-line treatment options in many cancers. However, tumor relapse is observed in many cancer patients following such first-line treatments. Therefore, targeted therapy according to the molecular cancer biology can be very important in reducing tumor recurrence. In this regard, a wide range of monoclonal antibodies against the growth factors and their receptors can offer more targeted treatment in cancer patients. However, due to the importance of growth factors in the normal biology of body cells, side effects can also be observed following the application of growth factor inhibitors. Therefore, more specific factors should be introduced as therapeutic targets with less side effects. Krüppel-like factors 2 (KLF2) belongs to the KLF family of transcription factors that are involved in the regulation of many cellular processes. KLF2 deregulations have been also reported during the progression of many tumors. In the present review we discussed the molecular mechanisms of KLF2 during tumor growth and invasion. It has been shown that the KLF2 as a tumor suppressor is mainly inhibited by the non-coding RNAs (ncRNAs) through the polycomb repressive complex 2 (PRC2) recruitment. This review is an effective step towards introducing the KLF2 as a suitable diagnostic and therapeutic target in cancer patients.

Specificity Proteins (SP) and Krüppel-like Factors (KLF) in Liver Physiology and Pathology

The liver acts as a central hub that controls several essential physiological processes ranging from metabolism to detoxification of xenobiotics. At the cellular level, these pleiotropic functions are facilitated through transcriptional regulation in hepatocytes. Defects in hepatocyte function and its transcriptional regulatory mechanisms have a detrimental influence on liver function leading to the development of hepatic diseases. In recent years, increased intake of alcohol and western diet also resulted in a significantly increasing number of people predisposed to the incidence of hepatic diseases. Liver diseases constitute one of the serious contributors to global deaths, constituting the cause of approximately two million deaths worldwide. Understanding hepatocyte transcriptional mechanisms and gene regulation is essential to delineate pathophysiology during disease progression. The current review summarizes the contribution of a family of zinc finger family transcription factors, named specificity protein (SP) and Krüppel-like factors (KLF), in physiological hepatocyte functions, as well as how they are involved in the onset and development of hepatic diseases.

Bioinformatics analysis of KLF2 as a potential prognostic factor in ccRCC and association with epithelial‑mesenchymal transition

Clear cell renal cell carcinoma (ccRCC) is a primary pathological subtype of RCC and has poor clinical outcome. Krüppel-like factors (KLFs), which are zinc-finger proteins, may be involved in ccRCC development and progression. KLFs belong to the zinc-finger family of DNA-binding transcription factors and regulate transcription of downstream target genes. KLFs are involved in cancer development. The present study aimed to investigate the role of KLFs in ccRCC prognosis. The Cancer Genome Atlas database and multifactorial analysis showed that KLFs were widely expressed in pan-cancers and KLF2 was an independent protective factor for ccRCC prognosis. Patients with low KLF2 expression had a low survival probability and expression of KLF2 was downregulated in patients with ccRCC with high pathological grade (II + III vs. I). In addition, western blot and reverse transcription-quantitative PCR revealed that KLF2 was expressed at low levels in ccRCC cell lines and overexpression of KLF2 inhibited cell migration. In addition, KLF2 expression was negatively correlated with methylation. KLF2 expression was elevated following treatment of ccRCC cells with DNA methyltransferase inhibitor. A prognostic risk index prediction model was constructed based on multiple Cox regression. The receiver operating characteristic curve was 0.780 (area under curve >0.5). Furthermore, Gene Ontology enrichment analysis showed that ‘cell adhesion’ and ‘junction’ were negatively correlated with KLF2 and that high-risk group exhibited significantly activated ‘epithelial-mesenchymal transition’. Western blot analysis showed that overexpression of KLF2 increased expression of E-cadherin, while decreasing levels of N-cadherin and vimentin. The present study highlighted the role of KLFs in ccRCC prognosis prediction and provides a research base for the search of validated prognostic biological markers for ccRCC.

The various regulatory functions of long noncoding RNAs in apoptosis, cell cycle, and cellular senescence

Long noncoding RNAs (lncRNAs) are a group of noncoding cellular RNAs involved in significant biological phenomena such as differentiation, cell development, genomic imprinting, adjusting the enzymatic activity, regulating chromosome conformation, apoptosis, cell cycle, and cellular senescence. The misregulation of lncRNAs interrupting normal biological processes has been implicated in tumor formation and metastasis, resulting in cancer. Apoptosis and cell cycle, two main biological phenomena, are highly conserved and intimately coupled mechanisms. Hence, some cell cycle regulators can influence both programmed cell death and cell division. Apoptosis eliminates defective and unwanted cells, and the cell cycle enables cells to replicate themselves. The improper regulation of apoptosis and cell cycle contributes to numerous disorders such as neurodegenerative and autoimmune diseases, viral infection, anemia, and mainly cancer. Cellular senescence is a tumor-suppressing response initiated by environmental and internal stress factors. This phenomenon has recently attained more attention due to its therapeutic implications in the field of senotherapy. In this review, the regulatory roles of lncRNAs on apoptosis, cell cycle, and senescence will be discussed. First, the role of lncRNAs in mitochondrial dynamics and apoptosis is addressed. Next, the interaction between lncRNAs and caspases, pro/antiapoptotic proteins, and also EGFR/PI3K/PTEN/AKT/mTORC1 signaling pathway will be investigated. Furthermore, the effect of lncRNAs in the cell cycle is surveyed through interaction with cyclins, cdks, p21, and wnt/β-catenin/c-myc pathway. Finally, the function of essential lncRNAs in cellular senescence is mentioned.

KLF2 inhibits cancer cell migration and invasion by regulating ferroptosis through GPX4 in clear cell renal cell carcinoma

The metastatic dissemination and underlying mechanisms of clear cell renal cell carcinoma (ccRCC) remain insufficiently understood. In this study, we identified the essential role of KLF2 in suppressing the metastasis of ccRCC. Downregulation of KLF2 detected by immunohistochemistry in primary metastatic ccRCC was remarkably related to poor clinical outcomes. Overexpression of KLF2 in vitro inhibited growth, migration and invasion of RCC cells. Analysis of clinical specimens revealed that there is a close correlation between KLF2 and GPX4 in ccRCC. Mechanistically, KLF2 deficiency is sufficient to inhibit ferroptosis on account of the impairment of transcriptional repression of GPX4 and thus promotes the migration and invasion of RCC cells. Reverting KLF2 expression in vivo decreased pulmonary metastatic lesions and prolonged life span of mice, whereas GPX4 overexpression reversed these properties. Overall, our results established a novel critical pathway that drives human ccRCC invasion and metastasis, which could be a promising target regarding to the therapies of advanced ccRCC in the clinic.

Downregulated microRNA-92a-3p inhibits apoptosis and promotes proliferation of pancreatic acinar cells in acute pancreatitis by enhancing KLF2 expression

Acute pancreatitis (AP) is known worldwide as one of the most common gastrointestinal diseases, prospectively leading to hospitalization coupled with increasing incidence. Several microRNAs (miRNAs) have been reported to be potential biomarkers for pancreatitis. In this study, we verified the hypothesis that miR-92a-3p is implicated in the development of AP by controlling the proliferation and apoptosis of pancreatic acinar cells (PACs) through the modulation of the Kruppel-like factor 2 (KLF2) and inflammatory factors in rats. Initially, we established a rat model of AP and extracted the pancreatic tissues. Then, the positive rate of KLF2 was measured using immunohistochemistry, and the expression of the related genes was determined by rReverse transcription quantitative polymerase chain reaction and Western blot analysis. The cell proliferation and apoptosis were measured by 5-ethynyl-2'-deoxyuridine assay and flow cytometry, and the contents of inflammatory factors were measured using enzyme-linked immunosorbent assay. AP rats presented with increased miR-92a-3p expression as well as decreased KLF2 expression in PACs. The downregulation of miR-92a-3p and overexpression of KLF2 led to decline in expression of nuclear factor-κB (NF-κB), survivin, tumor necrosis factor-α, and Bax as well as extent of NF-κB phosphorylation, contents of inflammatory factors, and apoptosis rate of PACs, but to increased KLF2 and B-cell lymphoma-2 levels and proliferation rate of PACs. Collectively, the data obtained from the present study demonstrated that reduced miR-92a-3p expression may relieve AP through its suppressive effects on cell apoptosis, inflammatory factors, and facilitatory effects on cell proliferation by enhancing KLF2 expression.

Classical and Deep Learning Paradigms for Detection and Validation of Key Genes of Risky Outcomes of HCV

Hepatitis C virus (HCV) is one of the most dangerous viruses worldwide. It is the foremost cause of the hepatic cirrhosis, and hepatocellular carcinoma, HCC. Detecting new key genes that play a role in the growth of HCC in HCV patients using machine learning techniques paves the way for producing accurate antivirals. In this work, there are two phases: detecting the up/downregulated genes using classical univariate and multivariate feature selection methods, and validating the retrieved list of genes using Insilico classifiers. However, the classification algorithms in the medical domain frequently suffer from a deficiency of training cases. Therefore, a deep neural network approach is proposed here to validate the significance of the retrieved genes in classifying the HCV-infected samples from the disinfected ones. The validation model is based on the artificial generation of new examples from the retrieved genes’ expressions using sparse autoencoders. Subsequently, the generated genes’ expressions data are used to train conventional classifiers. Our results in the first phase yielded a better retrieval of significant genes using Principal Component Analysis (PCA), a multivariate approach. The retrieved list of genes using PCA had a higher number of HCC biomarkers compared to the ones retrieved from the univariate methods. In the second phase, the classification accuracy can reveal the relevance of the extracted key genes in classifying the HCV-infected and disinfected samples.

Knocking Out SST Gene of BGC823 Gastric Cancer Cell by CRISPR/Cas9 Enhances Migration, Invasion and Expression of SEMA5A and KLF2

Background

The impact and potential molecular mechanisms of SST in the occurrence and development of GC have not been determined.

Materials and Methods

Two pairs of sgRNA and reporter were designed according to targeting sequence of SST gene for double-nicking. Plasmids were transfected into 293T for selecting sgRNA with higher cutting efficiency. The subline which has knocked-out SST gene were selected by FACS and verified by sequencing and expression level. Moreover, the migration and invasion ability was evaluated by wound healing and transwell after knocking out SST. Besides, the protein expression of SEMA5A and KLF2 were observed by Western blotting and LSCM. Last, we detected the expression levels of SST, SEMA5A, and KLF2 in GC tissues by Western blotting.

Results

The results revealed that the new subline 1E9, which had knocked out SST gene, was established by CRISPR/Cas9. In addition, the knockout of SST in GC cells markedly increased migration and invasion ability. The results also demonstrated that the knockout of SST increased the expression of SEMA5A and KLF2. The expression level of SST was decreased in GC tissues, and its decrease was associated with overexpression of SEMA5A and KLF2.

Conclusion

SST plays an inhibitory role in the migration and invasion of GC cell BGC823. The protein expression levels of SEMA5A and KLF2 were enhanced in GC cells and tissues lacking SST expression.

Epstein-Barr Virus miR-BART17-5p Promotes Migration and Anchorage-Independent Growth by Targeting Kruppel-Like Factor 2 in Gastric Cancer

Epstein-Barr virus (EBV) infects more than 90% of the global population and is associated with a variety of tumors including nasopharyngeal carcinoma, Hodgkin lymphoma, natural killer/T lymphoma, and gastric carcinoma. In EBV-associated gastric cancer (EBVaGC), highly expressed EBV BamHI A rightward transcripts (BART) miRNAs may contribute to tumorigenesis with limited viral antigens. Despite previous studies on the targets of BART miRNAs, the functions of all 44 BART miRNAs have not been fully clarified. Here, we used RNA sequencing data from the Cancer Genome Atlas to find genes with decreased expression in EBVaGC. Furthermore, we used AGS cells infected with EBV to determine whether expression was reduced by BART miRNA. We showed that the expression of Kruppel-like factor 2 (KLF2) is lower in AGS-EBV cells than in the AGS control. Using bioinformatics analysis, four BART miRNAs were selected to check whether they suppress KLF2 expression. We found that only miR-BART17-5p directly down-regulated KLF2 and promoted gastric carcinoma cell migration and anchorage-independent growth. Our data suggest that KLF2 functions as a tumor suppressor in EBVaGC and that miR-BART17-5p may be a valuable target for effective EBVaGC treatment.

KLF2 Inhibits the Migration and Invasion of Prostate Cancer Cells by Downregulating MMP2

KLF2, a member of the Kruppel-like factor (KLF) family, is thought to be a tumor suppressor in many kinds of malignant tumors. Its functions in prostate cancer (PCa) are unknown. This study aimed to explore the role of KLF2 in the migration and invasion of PCa cells. The expression of KLF2 was measured by immunohistochemistry in PCa tissues and in paired non-tumor tissues. KLF2 and MMP2 expression in cells was measured by Western blot and RT-qPCR. Adenoviruses and siRNAs were used in cell function tests to investigate the role of KLF2 in regulating MMP2. Interactions between KLF2 and MMP2 were analyzed by a luciferase activity assay. The present study, for the first time, identified that KLF2 was downregulated both in PCa clinical tissue samples and in cancer cell lines. The overexpression of KLF2 inhibited the migration and invasion of PCa cells via the suppression of MMP2.This study demonstrates that KLF2 might act as a tumor suppressor gene in PCa and that the pharmaceutical upregulation of KLF2 may be a potential approach for treatment.

Nucleoside diphosphate kinase B promotes osteosarcoma proliferation through c-Myc

Osteosarcoma (OS) is one of the most common primary bone tumors and has a high disablity rate and case-fatality rate. The protracted stagnancy of the chemotherapy program and surgical technology for OS treatment prompted us to focus on the mechanisms of cancer carcinogenesis progression in OS. Nucleoside diphosphate kinase B (NME2) is a type of nucleoside diphosphate kinase that plays an important role in cellular processes. In this study, we report overexpression of NME2 in OS cell lines and correlate this overexpression with the clinicopathologic features of osteosarcoma. We used si-NME2 to downregulate expression of NME2 in OS cell lines. The results of the CCK8 and clone forming assays show that NME2 promotes OS cell line proliferation. Western blot assays show that deregulation of NME2 results in enhanced the expression of c-Myc, which promotes OS proliferation.

Krüppel-like factor 2 suppresses human gastric tumorigenesis through inhibiting PTEN/AKT signaling

Krüppel-like factors (KLFs) are a large family of DNA-binding transcriptional regulators that affect basic cellular processes such as growth, survival, migration and differentiation and serve a complicated function in cancers. KLF2, one member of the KLF family, is dysregulated in many tumors. However, the specific role of KLF2 in human gastric tumorigenesis is unknown. Here we show that the expression of KLF2 protein was lower in gastric tumors when compared with adjacent normal tissue. Moreover, downregulated KLF2 expression in primary gastric tumor was closely correlated with patients’ survival. Various cell experiments showed that ectopic KLF2 expression suppressed the proliferation, migration and invasion of gastric cancer cells. Moreover, KLF2 overexpression remarkably enhanced cell apoptosis and induced cell cycle arrest. Impaired expression of KLF2 markedly promoted cell growth in vitro and significantly expanded tumor size in vivo. Mechanically, the mRNA and protein level of PTEN was reduced in KLF2 deficient cells and xenograft tumors, suggesting that PTEN/AKT signaling was involved in the gastric tumor inhibitory effect of KLF2. Administration of AKT inhibitor AZD5363 or Insulin-like growth factor-1 (IGF-1) in KLF2 knockdown or ectopic expression cell lines, respectively, substantially reversed the proliferation phenotype. Collectively, our findings provide clinical evidence and a potential mechanism supporting that KLF2 suppresses human gastric tumorigenesis through inhibiting the PTEN/AKT axis.

Methylation of kruppel-like factor 2 (KLF2) associates with its expression and non-small cell lung cancer progression

Kruppel-like factor 2 (KLF2) is a putative tumor suppressor gene. This study investigated its role and epigenetic mechanisms in human non-small cell lung cancer (NSCLC) in ex vivo and in vitro. A total of 47 paired NSCLC and normal tissues and six cell lines were analyzed using qRT-PCR for KLF2 expression. KLF2 methylation was assessed using the methylation specific PCR (MSP) or bisulfite sequencing PCR (BSP). Functional KLF2 region 4 (+567 to +906) was confirmed using the dual-luciferase reporter assay, while CCK-8 cell viability and flow cytometric assays were used to assess changes in cell viability, cell cycle distribution, and apoptosis after knockdown or re-expression of KLF2. Western blot was performed to analyze the effects of KLF2 shRNA on knockdown of KLF2 expression and p15 and p21 expression in cells. We found that KLF2 expression was significantly reduced in NSCLC cells and tissues via KLF2 methylation. Reduction of KLF2 expression was associated with KLF2 region 4 hypermethylation in 27 of 47 (57.45%) NSCLC tissues. Furthermore, methylation at KLF2 region 4 was significantly associated with lymph node metastasis and advanced TNM stage. Re-expression of KLF2 suppressed NSCLC cell viability, arrested cells at G0/G1 cell cycle by induction of p15 and p21 expression, and promoted apoptosis, whereas knockdown of KLF2 expression had the opposite effects on cells. Taken together, KLF2 possesses tumor suppressor functions in NSCLC and detection of KLF2 methylation should be further evaluated as a tumor or prognostic biomarker for NSCLC.