KLF7 overexpression in human oral squamous cell carcinoma promotes migration and epithelial-mesenchymal transition

miR-520f-3p blocks MNNG-induced gastric precancerous lesions via the KLF7/NFκB pathway

Studying the regulatory mechanism of gastric disease progression to gastric cancer (GC) is essential. miR-520f expression is down-regulated in GC and inhibits the proliferation of gastric cancer cells, suggesting that it is associated with the development of GC, but whether it plays a role in the gastric precancerous lesion (GPL) is unclear. This study aimed to investigate the effect of miR-520f-3p in the N-methyl-N'-nitro-N-nitrosoguanidine (MNNG)-induced GPL model and to elucidate the role of its downstream target gene Kruppel-like factor 7 (KLF7) in it. The experimental results showed that miR-520f-3p expression was down-regulated in the MNNG-induced GES-1 cell model, and overexpression of miR-520f-3p reversed the effects of MNNG on cell migration, invasion and epithelial-mesenchymal transition (EMT) -related protein expression. Meanwhile, overexpression of KLF7 attenuated the effect of miR-520f-3p on GPL. In a mouse GPL model, it was observed that MNNG elicited inflammation and EMT processes in mouse gastric tissues through the KLF7/ Nuclear Factor Kappa B (NFκB) pathway, and silencing KLF7 alleviated MNNG-induced gastric epithelial cell injury and gastric atrophy symptoms. These results provide a new perspective for understanding the development of GPL, and the development of new therapies targeting miR-520f-3p and KLF7 may provide new ideas for the prevention and treatment of gastric cancer.

Palmitic acid-activated GPRs/KLF7/CCL2 pathway is involved in the crosstalk between bone marrow adipocytes and prostate cancer

BACKGROUND

Obesity-induced abnormal bone marrow microenvironment is one of the important risk element for bone metastasis in prostate cancer (PCa). The present study aimed to determine whether obesity-induced elevation in palmitic acid (PA), which is the most abundant of the free fatty acids (FFAs), increased CCL2 via the GPRs/KLF7 pathway in bone marrow adipocytes (BMA) to facilitate PCa growth and metastasis.

METHODS

We constructed a bone-tumor bearing mouse model with obesity through high-fat diet, and observed the tumor formation ability of PCa cells. In vitro, observe the effect of PA on the expression level of CCL2 in BMA through GPRs/KLF7 signaling pathway. After co-culture of BMA and PCa cells, CCK8 assay and transwell experiment were used to detect the changes in biological behavior of PCa cells stimulated by BMA.

RESULTS

The BMA distribution in the bone marrow cavity of BALB/c nude mice fed with the high-fat diet (HFD) was evidently higher than that in the mice fed with the normal diet (ND). Moreover, HFD-induced obesity promoted KLF7/CCL2 expression in BMA and PCa cell growth in the bone marrow cavity of the mice. In the vitro experiment, a conditioned medium with increased CCL2 obtained from the BMA cultured with PA (CM-BMA-PA) was used for culturing the PCa cell lines, which evidently enhanced the proliferation, invasion, and migration ability. KLF7 significantly increased the CCL2 expression and secretion levels in BMA by targeting the promoter region of the CCL2 gene. In addition, GPR40/120 engaged in the PA-induced high KLF7/CCL2 levels in BMA to facilitate the malignant progression of PC-3 cells.

CONCLUSIONS

PA-activated GPRs/KLF7/CCL2 pathway in BMA facilitates prostate cancer growth and metastasis.

Circular hsa_circ_0020377 regulates KLF7 by targeting miR-194-5p to facilitate tumor cell malignant behaviors and glycolysis in oral squamous cell carcinoma progression

Oral squamous cell carcinoma (OSCC) is a common malignant tumor with high recurrence, metastasis rates, and poor prognosis. Numerous studies discover that circular RNA (circRNA) is closely associated with OSCC progression. Hsa_circ_0020377 has been aberrantly expressed in OSCC, but its role in tumor growth and metastasis remains largely unclear. Hsa_circ_0020377, microRNA-194-5p (miR-194-5p), and Krüppel-like factor 7 (KLF7) contents were determined by real-time quantitative polymerase chain reaction (RT-qPCR). Cell proliferative, cycle progression migration, and invasion were measured using 5-ethynyl-2'-deoxyuridine (EdU), Cell Counting Kit-8 (CCK-8), flow cytometry, wound healing, and Transwell assays. The glycolysis level was detected via specific kits. Cyclin D1, E-cadherin, hexokinase 2 (HK2), and KLF7 protein levels were detected via western blot. Using predicting bioinformatics software, the binding between miR-194-5p and hsa_circ_0020377 or KLF7 was verified using a dual-luciferase reporter and RNA Immunoprecipitation (RIP). Beyond that, a xenograft tumor model was used to analyze the role of hsa_circ_0020377 on tumor cell growth in vivo. Increased hsa_circ_0020377 and KLF7 and reduced miR-194-5p were found in OSCC tissues and cell lines. Loss-of-function experiments proved that hsa_circ_0020377 depletion might block OSCC cell proliferation, cycle progression, migration, invasion, and glycolysis in vitro. In xenograft mouse models, hsa_circ_0020377 silencing might suppress tumor growth. In addition, mechanism research suggested that hsa_circ_0020377 could bind with miR-194-5p and enhance its target gene (KLF7), thereby affecting OSCC development. These results broaden our insights regarding the regulation of OSCC progression via circRNA and act as a reference for future clinical studies in OSCC diagnosis and treatment.

miR-132-3p and KLF7 as novel regulators of aortic stiffening-associated EndMT in type 2 diabetes mellitus

BACKGROUND

The prevalence of diabetes mellitus has risen considerably and currently affects more than 422 million people worldwide. Cardiovascular diseases including myocardial infarction and heart failure represent the major cause of death in type 2 diabetes (T2D). Diabetes patients exhibit accelerated aortic stiffening which is an independent predictor of cardiovascular disease and mortality. We recently showed that aortic stiffness precedes hypertension in a mouse model of diabetes (db/db mice), making aortic stiffness an early contributor to cardiovascular disease development. Elucidating how aortic stiffening develops is a pressing need in order to halt the pathophysiological process at an early time point.

METHODS

To assess EndMT occurrence, we performed co-immunofluorescence staining of an endothelial marker (CD31) with mesenchymal markers (α-SMA/S100A4) in aortic sections from db/db mice. Moreover, we performed qRT-PCR to analyze mRNA expression of EndMT transcription factors in aortic sections of db/db mice and diabetic patients. To identify the underlying mechanism by which EndMT contributes to aortic stiffening, we used aortas from db/db mice and diabetic patients in combination with high glucose-treated human umbilical vein endothelial cells (HUVECs) as an in vitro model of diabetes-associated EndMT.

RESULTS

We demonstrate robust CD31/α-SMA and CD31/S100A4 co-localization in aortic sections of db/db mice which was almost absent in control mice. Moreover, we demonstrate a significant upregulation of EndMT transcription factors in aortic sections of db/db mice and diabetic patients. As underlying regulator, we identified miR-132-3p as the most significantly downregulated miR in the micronome of db/db mice and high glucose-treated HUVECs. Indeed, miR-132-3p was also significantly downregulated in aortic tissue from diabetic patients. We identified Kruppel-like factor 7 (KLF7) as a target of miR-132-3p and show a significant upregulation of KLF7 in aortic sections of db/db mice and diabetic patients as well as in high glucose-treated HUVECs. We further demonstrate that miR-132-3p overexpression and KLF7 downregulation ameliorates EndMT in high glucose-treated HUVECs.

CONCLUSIONS

We demonstrate for the first time that EndMT contributes to aortic stiffening in T2D. We identified miR-132-3p and KLF7 as novel EndMT regulators in this context. Altogether, this gives us new insights in the development of aortic stiffening in T2D.

Promotion of colorectal cancer by transcription factor BHLHE40 involves upregulation of ADAM19 and KLF7

BHLHE40 is a transcription factor, whose role in colorectal cancer has remained elusive. We demonstrate that the BHLHE40 gene is upregulated in colorectal tumors. Transcription of BHLHE40 was jointly stimulated by the DNA-binding ETV1 protein and two associated histone demethylases, JMJD1A/KDM3A and JMJD2A/KDM4A, which were shown to also form complexes on their own and whose enzymatic activity was required for BHLHE40 upregulation. Chromatin immunoprecipitation assays revealed that ETV1, JMJD1A and JMJD2A interacted with several regions within the BHLHE40 gene promoter, suggesting that these three factors directly control BHLHE40 transcription. BHLHE40 downregulation suppressed both growth and clonogenic activity of human HCT116 colorectal cancer cells, strongly hinting at a pro-tumorigenic role of BHLHE40. Through RNA sequencing, the transcription factor KLF7 and the metalloproteinase ADAM19 were identified as putative BHLHE40 downstream effectors. Bioinformatic analyses showed that both KLF7 and ADAM19 are upregulated in colorectal tumors as well as associated with worse survival and their downregulation impaired HCT116 clonogenic activity. In addition, ADAM19, but not KLF7, downregulation reduced HCT116 cell growth. Overall, these data have revealed a ETV1/JMJD1A/JMJD2A→BHLHE40 axis that may stimulate colorectal tumorigenesis through upregulation of genes such as KLF7 and ADAM19, suggesting that targeting this axis represents a potential novel therapeutic avenue.

Comprehensive Analysis and Reinforcement Learning of Hypoxic Genes Based on Four Machine Learning Algorithms for Estimating the Immune Landscape, Clinical Outcomes, and Therapeutic Implications in Patients With Lung Adenocarcinoma

Background

Patients with lung adenocarcinoma (LUAD) exhibit significant heterogeneity in therapeutic responses and overall survival (OS). In recent years, accumulating research has uncovered the critical roles of hypoxia in a variety of solid tumors, but its role in LUAD is not currently fully elucidated. This study aims to discover novel insights into the mechanistic and therapeutic implications of the hypoxia genes in LUAD cancers by exploring the potential association between hypoxia and LUAD.

Methods

Four machine learning approaches were implemented to screen out potential hypoxia-related genes for the prognosis of LUAD based on gene expression profile of LUAD samples obtained from The Cancer Genome Atlas (TCGA), then validated by six cohorts of validation datasets. The risk score derived from the hypoxia-related genes was proven to be an independent factor by using the univariate and multivariate Cox regression analyses and Kaplan-Meier survival analyses. Hypoxia-related mechanisms based on tumor mutational burden (TMB), the immune activity, and therapeutic value were also performed to adequately dig deeper into the clinical value of hypoxia-related genes. Finally, the expression level of hypoxia genes was validated at protein level and clinical samples from LUAD patients at transcript levels.

Results

All patients in TCGA and GEO-LUAD group were distinctly stratified into low- and high-risk groups based on the risk score. Survival analyses demonstrated that our risk score could serve as a powerful and independent risk factor for OS, and the nomogram also exhibited high accuracy. LUAD patients in high-risk group presented worse OS, lower TMB, and lower immune activity. We found that the model is highly sensitive to immune features. Moreover, we revealed that the hypoxia-related genes had potential therapeutic value for LUAD patients based on the drug sensitivity and chemotherapeutic response prediction. The protein and gene expression levels of 10 selected hypoxia gene also showed significant difference between LUAD tumors tissues and normal tissues. The validation experiment showed that the gene transcript levels of most of their genes were consistent with the levels of their translated proteins.

Conclusions

Our study might contribute to the optimization of risk stratification for survival and personalized management of LUAD patients by using the hypoxia genes, which will provide a valuable resource that will guide both mechanistic and therapeutic implications of the hypoxia genes in LUAD cancers.

Identification and validation of a prognostic signature related to hypoxic tumor microenvironment in cervical cancer

Background

Hypoxia is a common microenvironment condition in most malignant tumors and has been shown to be associated with adverse outcomes of cervical cancer patients. In this study, we investigated the effects of hypoxia-related genes on tumor progress to characterize the tumor hypoxic microenvironment.

Methods

We retrieved a set of hypoxia-related genes from the Molecular Signatures Database and evaluated their prognostic value for cervical cancer. A hypoxia-based prognostic signature for cervical cancer was then developed and validated using tumor samples from two independent cohorts (TCGA-CESC and CGCI-HTMCP-CC cohorts). Finally, we validated the hypoxia prediction of ccHPS score in eight human cervical cancer cell lines treated with the hypoxic and normoxic conditions, and 286 tumor samples with hypoxic category (more or less) from Gene Expression Omnibus (GEO) database with accession GSE72723.

Results

A risk signature model containing nine hypoxia-related genes was developed and validated in cervical cancer. Further analysis showed that this risk model could be an independent prognosis factor of cervical cancer, which reflects the condition of the hypoxic tumor microenvironment and its remodeling of cell metabolism and tumor immunity. Furthermore, a nomogram integrating the novel risk model and lymphovascular invasion status was developed, accurately predicting the 1-, 3- and 5-year prognosis with AUC values of 0.928, 0.916 and 0.831, respectively. These findings provided a better understanding of the hypoxic tumor microenvironment in cervical cancer and insights into potential new therapeutic strategies in improving cancer therapy.

The Role of Zinc Finger Proteins in Various Oral Conditions

The zinc finger proteins (ZNFs) are essential transcription factors, and the genes encoding them constitute about 3% of the entire human genome. They are involved in the development of several tissues, and any alterations in their structure may promote chronic conditions like diabetes and tumorigenesis. Lately, their role in the development, progression, and metastasis of Oral Squamous Cell Carcinoma (OSCC), Epithelial Dysplasia, Oral Lichen Planus, and Periodontitis has been found. The present review aims to describe their role in various oral conditions. Electronic databases like Medline (PubMed) and Scopus were searched for original studies related to the role of ZNFs in various oral conditions. It yielded 48 studies included in the review. It was found that the ZNFs influenced chronic conditions like Oral Cancer and Periodontitis. They act both as tumor suppressors and oncogenes and have an anti-inflammatory effect. The knowledge from the present review may be utilized in designing drugs that prevent unusual expression of specific ZNFs. Besides, they may be applied as prognostic markers due to their high expression specificity in some tumors.

Silencing KLF16 inhibits oral squamous cell carcinoma cell proliferation by arresting the cell cycle and inducing apoptosis

Krüppel-like factor 16 (KLF16), a member of the Krüppel-like factor (KLF) family, has been extensively investigated in multiple cancer types. However, the role of KLF16 in oral squamous cell carcinoma (OSCC) remains unknown. Thus, we conducted this study to investigate its related mechanism. KLF16 expression in OSCC cell lines was quantified by western blotting. Then, OECM1 and OC3 cells were divided into Blank, siCtrl, siKLF16#1 and siKLF16#2 groups. Subsequently, cell proliferation was detected using 3-[4,5-dimethylthiazol-2-yl]-2,5 diphenyl tetrazolium bromide (MTT) assays, cell migration and invasion were detected with wound healing and Transwell assays, and cell cycle distribution and cell apoptosis were detected via flow cytometry. KLF16, p21, CDK4, Cyclin D1 and p-Rb expression was detected by western blotting. Finally, xenograft models were established in nude mice to observe the in vivo effects of KLF16 on OSCC. KLF16 protein expression was upregulated in OSCC cells. Compared to the cells in the Blank group, the OECM1 and OC3 cells in the siKLF16#1 group and siKLF16#2 group exhibited a sharp decrease in proliferation but a remarkable increase in apoptosis. Moreover, the proportion of cells in the G0/G1 phase notably increased and that in the S phase decreased, with evident decreases in cell invasion and migration. Moreover, KLF16, cyclin-dependent kinase 4 (CDK4), Cyclin D1 and p-Rb protein expression was upregulated, but p21 expression was downregulated. The mice in the siKLF16#1 and siKLF16#2 xenograft model groups exhibited slower tumour growth and smaller tumours with evident downregulation of Ki67 expression compared to the mice in the Blank group. KLF16 expression was upregulated in OSCC cells, and interfering with KLF16 led to cell cycle arrest, inhibited OSCC cell growth and promoted cell apoptosis.

Transcriptional control of chicken KLF7 promoter in preadipocytes

Krüppel-like factor 7 (KLF7) has been reported to inhibit adipogenesis and regulate the development of the nervous system. However, transcription regulation of KLF7 remains poorly understood. In the current study, a 2196-bp-long 5'-flanking sequence of chicken KLF7 (-2286 bp to -91 bp, upstream of the translation start site) was studied for promoter activity, and there was a remarkable promoter activity in this sequence (P<0.05). The 5'-truncated mutation analysis showed that a minimal promoter was on the sequence from -241 bp to -91 bp. In addition, GATA2 overexpression facilitated the promoter activity of pGL3-KLF7(-2286/-91), pGL3-KLF7(-1215/-91), pGL3-KLF7(-521/-91), and pGL3-KLF7(-241/-91), and GATA3 overexpression inhibited the promoter activity of pGL3-KLF7(-1845/-91), pGL3-KLF7(-1215/-91), pGL3-KLF7(-521/-91), and pGL3-KLF7(-241/-91) in chicken preadipocytes (P<0.05). Knockdown of GATA2 expression inhibited the promoter activity of pGL3-KLF7(-1215/-91) and pGL3-KLF7(-241/-91), and knockdown of GATA3 expression facilitated the promoter activity of pGL3-KLF7(-521/-91) and pGL3-KLF7(-241/-91) (P<0.05). Additionally, overexpression and knockdown analyses showed that GATA3 inhibited KLF7 mRNA expression (P<0.05), and both overexpression and knockdown of GATA2 resulted in the downregulation of KLF7 mRNA expression in chicken preadipocytes (P<0.05). Western blot analysis in chicken preadipocytes showed that GATA2 facilitated KLF7 expression and GATA3 inhibited KLF7 expression. Mutation analysis showed that the motif of 'GGATCTATCA' (-107 bp/-98 bp) might be a cis-regulation element, which is involved in the KLF7 expression regulation by GATA3 in chicken preadipocytes. These results provided some details of KLF7 transcription regulation in chicken adipose tissue.

Microenvironmental Th9 and Th17 lymphocytes induce metastatic spreading in lung cancer

Immune microenvironment plays a critical role in lung cancer control versus progression and metastasis. In this investigation, we explored the effect of tumor-infiltrating lymphocyte subpopulations on lung cancer biology by studying in vitro cocultures, in vivo mouse models, and human lung cancer tissue. Lymphocyte conditioned media (CM) induced epithelial-mesenchymal transition (EMT) and migration in both primary human lung cancer cells and cell lines. Correspondingly, major accumulation of Th9 and Th17 cells was detected in human lung cancer tissue and correlated with poor survival. Coculturing lung cancer cells with Th9/Th17 cells or exposing them to the respective CM induced EMT in cancer cells and modulated the expression profile of genes implicated in EMT and metastasis. These features were reproduced by the signatory cytokines IL-9 and IL-17, with gene regulatory profiles evoked by these cytokines partly overlapping and partly complementary. Coinjection of Th9/Th17 cells with tumor cells in WT, Rag1-/-, Il9r-/-, and Il17ra-/- mice altered tumor growth and metastasis. Accordingly, inhibition of IL-9 or IL-17 cytokines by neutralizing antibodies decreased EMT and slowed lung cancer progression and metastasis. In conclusion, Th9 and Th17 lymphocytes induce lung cancer cell EMT, thereby promoting migration and metastatic spreading and offering potentially novel therapeutic strategies.

KLF7 is associated with poor prognosis and regulates migration and adhesion in tongue cancer

OBJECTIVE

The present study was performed to determine the clinical relevance of KLF7 in tongue squamous cell carcinoma (TSCC) and to characterize its potential function and mechanism of action.

MATERIALS AND METHODS

KLF7 expression was measured by RT-qPCR in 21 tongue cancer samples. The clinical relevance of KLF7 was analyzed in another cohort of 127 TSCC samples from a public database. Then, we performed RNA sequencing analysis in KLF7-overexpressing TSCC (SCC9 and CAL27) cells to define significantly altered pathways. The possible changes in migration and adhesion were then analyzed in KLF7-overexpressing and knockdown TSCC cells.

RESULTS

Our results showed that KLF7 mRNA expression was upregulated in TSCC and was significantly associated with the T and N stages. Patients with high-KLF7 expression had worse overall survival. RNA sequencing and KEGG enriched pathway analysis showed that altered genes were enriched in extracellular matrix-receptor interactions and focal adhesions in both cell lines. KLF7-overexpressing TSCC cell lines showed enhanced migration capacity and cell adhesion ability, and knockdown of KLF7 expression decreased TSCC migration and adhesion ability.

CONCLUSIONS

We concluded that KLF7 was overexpressed in TSCC and has prognostic value. KLF7 promoted TSCC migration and increased cell adhesion.

DNA methylation of CpG sites in the chicken KLF7 promoter and Exon 2 in association with mRNA expression in abdominal adipose tissue and blood metabolic indicators

BACKGROUND

Our previous study found that chicken KLF7 was an important regulator in formation of adipose tissue. In the present study, we analyzed the association for DNA methylation in chicken KLF7 with its transcripts of abdominal adipose tissue and blood metabolic indicators.

RESULTS

The KLF7 transcripts of the adipose tissue of Chinese yellow broilers were associated with age (F = 6.67, P = 0.0035). In addition, the KLF7 transcripts were negatively correlated with blood glucose levels (r = - 0.61841, P = 0.0140). The DNA methylation levels of 26 CpG loci in the chicken KLF7 promoter and Exon 2 were studied by Sequenom MassArray. A total of 22 valid datasets were obtained. None of them was significantly different in relation to age (P > 0.05). However, the DNA methylation levels in the promoter were lower than those in Exon 2 (T = 40.74, P < 0.01). Correlation analysis showed that the DNA methylation levels of PCpG6 and E2CpG9 were significantly correlated with KLF7 transcripts and blood high-density lipoprotein levels, respectively, and many CpG loci were correlated with each other (P < 0.05). The methylation data were subjected to principal component analysis and factor analysis. The six principal components (z1-z6) were extracted and named Factors 1-6, respectively. Factor analysis showed that Factor 1 had a higher load on the loci in the promoter, and Factors 2-6 loaded highly on quite different loci in Exon 2. Correlation analysis showed that only z1 was significantly correlated to KLF7 transcripts (P < 0.05). In addition, an established regression equation between z1 and KLF7 transcripts was built, and the contribution of z1 to the variation on KLF7 transcripts was 34.29%.

CONCLUSIONS

In conclusion, the KLF7 transcripts of chicken abdominal adipose tissue might be inhibited by DNA methylation in the promoter, and it might be related to the DNA methylation level of PCpG6.

Elevated KLF7 levels may serve as a prognostic signature and might contribute to progression of squamous carcinoma

Global efforts have been undertaken to define the genome-wide distribution of epigenetic markers in cancerous tissues, which provide an invaluable opportunity to understand cancer biology and identify predictive signatures. Several studies have focused on the gene expression patterns of squamous carcinoma to identify tumor subtypes and find prognostic and therapeutic targets because squamous carcinoma genomes showed high instability. However, the number of reliable reports referring prognostic significance of genes and their role in squamous carcinoma is still quite limited. Krüppel-like factor 7 (KLF7) is a transcription factor that is widely expressed in numerous human tissues at low levels. Members of the KLF family have established roles in tumor cell fate, stress response, cell survival and the tumor-initiating properties of cancer stem-like cells. Hence to investigate whether KFL7 expression from cancer tissue holds promise as a prognostic and/or therapeutic target, we analyzed gene expression profiles from squamous carcinoma and surgical margin tissues in The Cancer Genome Atlas. We identified significant up-regulation of KLF7 in squamous carcinoma, which was confirmed by immunohistochemical staining. Elevated KLF7 expression was associated with poor squamous carcinoma prognosis before and after correcting for confounding factors by multivariate Cox regression analysis. Several pathways, such as Neurotrophin and GnRH pathways, were activated in KLF7-up-regulated squamous carcinoma samples through Gene Set Enrichment Analysis. In conclusion, we consolidate the potential role(s) of KLF7 in squamous carcinoma carcinogenesis from The Cancer Genome Atlas surgical margin tissue, offering insights into expression signatures that are potentially useful for prognosis modalities.

KLF7 promotes pancreatic cancer growth and metastasis by up-regulating ISG expression and maintaining Golgi complex integrity

Pancreatic ductal adenocarcinoma (PDAC) is an aggressive cancer with a dismal prognosis. Currently, there is no effective therapy for PDAC, and a detailed molecular and functional evaluation of PDACs is needed to identify and develop better therapeutic strategies. Here we show that the transcription factor Krüppel-like factor 7 (KLF7) is overexpressed in PDACs, and that inhibition of KLF7 blocks PDAC tumor growth and metastasis in cell culture and in mice. KLF7 expression in PDACs can be up-regulated due to activation of a MAP kinase pathway or inactivation of the tumor suppressor p53, two alterations that occur in a large majority of PDACs. ShRNA-mediated knockdown of KLF7 inhibits the expression of IFN-stimulated genes (ISGs), which are necessary for KLF7-mediated PDAC tumor growth and metastasis. KLF7 knockdown also results in the down-regulation of Discs Large MAGUK Scaffold Protein 3 (DLG3), resulting in Golgi complex fragmentation, and reduced protein glycosylation, leading to reduced secretion of cancer-promoting growth factors, such as chemokines. Genetic or pharmacologic activation of Golgi complex fragmentation blocks PDAC growth and metastasis similar to KLF7 inhibition. Our results demonstrate a therapeutically amenable, KLF7-driven pathway that promotes PDAC growth and metastasis by activating ISGs and maintaining Golgi complex integrity.

High Expression of Krüppel-like Factor 7 Indicates Unfavorable Clinical Outcomes in Patients with Lung Adenocarcinoma

BACKGROUND

Krüppel-like factor 7 (KLF7), which belongs to the KLF family of zinc finger transcription factors, plays a critical role in regulating gene expression. It was reported that KLF7 overexpression was closely related to the progression of gastric cancer. However, the role of KLF7 in lung adenocarcinoma (LAC) has not been elucidated. The aim of our study is to investigate the expression pattern of KLF7 and explore whether the KLF7 expression is correlated with unfavorable clinical outcome of patients with LAC.

MATERIALS AND METHODS

The protein and mRNA levels of KLF7 were examined in LAC tissues by using immunohistochemistry staining and quantitative reverse transcription polymerase chain reaction, respectively. The prognostic role of KLF7 in patients with LAC was assessed using univariate and multivariate analyses. Clinical outcomes were evaluated by Kaplan-Meier analysis and logrank test. The effects of KLF7 on lung cancer cells were investigated through cellular experiments.

RESULTS

KLF7 expression was elevated in LAC tissues compared with adjacent normal tissues. High protein level of KLF7 was correlated with larger tumor size, positive lymph node metastasis, and advanced TNM stage. Moreover, patients with LAC with higher expression level of KLF7 had poorer overall survival, and KLF7 was identified as an unfavorable independent prognosis factor. Knockdown of KLF7 can suppress the proliferation and invasion abilities of cancer cells.

CONCLUSIONS

Our studies revealed that high KLF7 expression level was significantly associated with the poorer clinical outcomes of patients with LAC, indicating the potential role of KLF7 as a novel prognostic biomarker and therapeutic target.

Epithelial to Mesenchymal Transition: A Mechanism that Fuels Cancer Radio/Chemoresistance

Epithelial to mesenchymal transition (EMT) contributes to tumor progression, cancer cell invasion, and therapy resistance. EMT is regulated by transcription factors such as the protein products of the SNAI gene family, which inhibits the expression of epithelial genes. Several signaling pathways, such as TGF-beta1, IL-6, Akt, and Erk1/2, trigger EMT responses. Besides regulatory transcription factors, RNA molecules without protein translation, micro RNAs, and long non-coding RNAs also assist in the initialization of the EMT gene cluster. A challenging novel aspect of EMT research is the investigation of the interplay between tumor microenvironments and EMT. Several microenvironmental factors, including fibroblasts and myofibroblasts, as well as inflammatory, immune, and endothelial cells, induce EMT in tumor cells. EMT tumor cells change their adverse microenvironment into a tumor friendly neighborhood, loaded with stromal regulatory T cells, exhausted CD8⁺ T cells, and M2 (protumor) macrophages. Several EMT inhibitory mechanisms are instrumental in reversing EMT or targeting EMT cells. Currently, these mechanisms are also significant for clinical use.

Stress-triggered YAP1/SOX2 activation transcriptionally reprograms head and neck squamous cell carcinoma for the acquisition of stemness

PURPOSE

The clinical importance of cancer stem cells (CSCs) in head and neck squamous cell carcinoma (HNSCC) is well recognized. However, a reliable method for the detection of functioning CSC has not yet been established. We hypothesized that YAP1, a transcriptional coactivator, and SOX2, a master transcription factor of SCC, may cooperatively induce stemness through transcriptional reprogramming.

METHODS

We immunohistochemically examined the expression of SOX2 and YAP1 in the CD44 variant 9 (CD44v9)-positive invasion front. A CSC-inducible module was identified through a combination of siRNAs and sphere formation assays. YAP1 and SOX2 interactions were analyzed in vitro.

RESULTS

The triple overexpression of SOX2, YAP1, and CD44v9 was significantly associated with poor prognosis. TCGA data revealed that the CSC-inducible module, which was related to EMT and angiogenesis, was significantly correlated with poor prognosis. The KLF7 expression, representatively chosen from the module, also correlated with poor prognosis and was essential for sphere formation and CSC propagation. Sphere stress-activated YAP1 enhanced SOX2 activity.

CONCLUSIONS

The stress-triggered activation of YAP1/SOX2 transcriptionally reprograms HNSCC for the acquisition of stemness. Triple SOX2, YAP1, and CD44v9 immunostaining assays may be useful for the selection of high-risk patients with functioning CSCs, and YAP1 targeting may lead to the development of a CSC-targeting therapy.

Analysis of genetically driven alternative splicing identifies FBXO38 as a novel COPD susceptibility gene

While many disease-associated single nucleotide polymorphisms (SNPs) are associated with gene expression (expression quantitative trait loci, eQTLs), a large proportion of complex disease genome-wide association study (GWAS) variants are of unknown function. Some of these SNPs may contribute to disease by regulating gene splicing. Here, we investigate whether SNPs that are associated with alternative splicing (splice QTL or sQTL) can identify novel functions for existing GWAS variants or suggest new associated variants in chronic obstructive pulmonary disease (COPD). RNA sequencing was performed on whole blood from 376 subjects from the COPDGene Study. Using linear models, we identified 561,060 unique sQTL SNPs associated with 30,333 splice sites corresponding to 6,419 unique genes. Similarly, 708,928 unique eQTL SNPs involving 15,913 genes were detected at 10% FDR. While there is overlap between sQTLs and eQTLs, 55.3% of sQTLs are not eQTLs. Co-localization analysis revealed that 7 out of 21 loci associated with COPD (p<1x10-6) in a published GWAS have at least one shared causal variant between the GWAS and sQTL studies. Among the genes identified to have splice sites associated with top GWAS SNPs was FBXO38, in which a novel exon was discovered to be protective against COPD. Importantly, the sQTL in this locus was validated by qPCR in both blood and lung tissue, demonstrating that splice variants relevant to lung tissue can be identified in blood. Other identified genes included CDK11A and SULT1A2. Overall, these data indicate that analysis of alternative splicing can provide novel insights into disease mechanisms. In particular, we demonstrated that SNPs in a known COPD GWAS locus on chromosome 5q32 influence alternative splicing in the gene FBXO38.

STAT3-induced long noncoding RNA LINC00668 promotes migration and invasion of non-small cell lung cancer via the miR-193a/KLF7 axis

Long noncoding RNAs (lncRNAs) have been demonstrated to play significant roles in non-small cell lung cancer (NSCLC) progression. Recently, a newly identified lncRNA, LncRNA LINC00668 (LINC00668), was reported to be involved in the regulation of progression of several tumors. However, the expression pattern and biological function of LINC00668 in NSCLC remains largely unclear. In this study, we found that LINC00668 expression was significantly up-regulated in both NSCLC tissues and cell lines. we also showed that LINC00668 upregulation was induced by transcription factor STAT3. Clinical investigation demonstrated that high expression level of LINC00668 was associated with advanced TNM stage, histological grade and lymph node metastasis. Moreover, multivariate analysis confirmed LINC00668 expression level to be an independent prognostic indicator for overall survival of NSCLC patients. Functional assays indicated that knockdown of LINC00668 suppressed NSCLC cells proliferation, migration and invasion, and promoted apoptosis. Mechanistic studies indicated that LINC00668 is a direct target of miR-193a, leading to down-regulation in the expression of its target gene KLF7. Our findings suggested that STAT3-induced LINC00668 contributed to NSCLC progression through upregulating KLF7 expression by sponging miR-193a, and may serve as a prognostic biomarker and a potential target for NSCLC.

Genome-Wide Profiling of Prognostic Alternative Splicing Pattern in Pancreatic Cancer

Alternative splicing (AS) has a critical role in tumor progression and prognosis. Our study aimed to investigate pancreatic cancer-specific AS events using RNA-seq data, gaining systematic insights into potential prognostic predictors. We downloaded 10,623 genes with 45,313 pancreatic cancer-specific AS events from the Cancer Genome Atlas (TCGA) and SpliceSeq database. Cox univariate analyses of overall survival suggested there was a remarkable association between 6,711 AS events and overall survival in pancreatic cancer patients (P < 0.05). The area under the curves (AUC) of the receiver operator characteristic curves (ROC) of risk score was 0.89 for final prognostic predictor. Results indicated that AS events of DAZAP1, RBM4, ESRP1, QKI, and SF1 were significantly associated with overall survival. The results of FunRich showed that transcription factors KLF7, GABPA, and SP1 were the most highly related to survival-associated AS genes. Furthermore, using DriverDBv2, we identified 13 driver genes associated with survival-associated AS events, including TP53 and CDC27. Thus, we concluded that the aberrant AS patterns in pancreatic cancer patients might serve as prognostic predictors.

miR-185 Inhibits the Proliferation and Invasion of Non-Small Cell Lung Cancer by Targeting KLF7

MicroRNAs (miRNAs) are short endogenous noncoding RNAs that frequently play vital roles in many cancer types. Herein we demonstrated that miR-185 was remarkably downregulated in NSCLC tissues compared with adjacent normal tissues. A lower level of miR-185 was associated with lymph node metastasis. Functional assays showed that upregulation of miR-185 inhibited the proliferation, colony formation, and invasion capacities of NSCLC cells in vitro. Furthermore, we found that miR-185 suppressed the epithelial–mesenchymal transition (EMT) process. Bioinformatics analysis and luciferase reporter gene assays revealed that Kruppel-like factor 7 (KLF7) was the target of miR-185. Overexpression of miR-185 reduced the expression of KLF7 in NSCLC cells. Upregulation of KLF7 partly neutralized the inhibitory effects of miR-185 on the proliferation and invasion of NSCLC. Additionally, we confirmed that miR-185 suppressed the tumor growth of NSCLC A549 cells in vivo. Taken together, these results demonstrate that miR-185 acts as a suppressor by targeting KLF7 in NSCLC.

A fast approach to detect gene-gene synergy

Selecting informative genes, including individually discriminant genes and synergic genes, from expression data has been useful for medical diagnosis and prognosis. Detecting synergic genes is more difficult than selecting individually discriminant genes. Several efforts have recently been made to detect gene-gene synergies, such as dendrogram-based I(X₁; X₂; Y) (mutual information), doublets (gene pairs) and MIC(X₁; X₂; Y) based on the maximal information coefficient. It is unclear whether dendrogram-based I(X₁; X₂; Y) and doublets can capture synergies efficiently. Although MIC(X₁; X₂; Y) can capture a wide range of interaction, it has a high computational cost triggered by its 3-D search. In this paper, we developed a simple and fast approach based on abs conversion type (i.e. Z = |X₁ − X₂|) and t-test, to detect interactions in simulation and real-world datasets. Our results showed that dendrogram-based I(X₁; X₂; Y) and doublets are helpless for discovering pair-wise gene interactions, our approach can discover typical pair-wise synergic genes efficiently. These synergic genes can reach comparable accuracy to the individually discriminant genes using the same number of genes. Classifier cannot learn well if synergic genes have not been converted properly. Combining individually discriminant and synergic genes can improve the prediction performance.