MicroRNA-335/ID4 dysregulation predicts clinical outcome and facilitates leukemogenesis by activating PI3K/Akt signaling pathway in acute myeloid leukemia

Evaluation of MicroRNA as Minimal Residual Disease in Leukemia: Diagnostic and Prognostic Approach: A Review

Various factors are effective in the development of minimal residual disease (MRD), one of which is MicroRNAs (miRNAs). miRNAs and their dysfunction in gene expression have influential role in the pathogenesis of leukemia. Nowadays, treatments that lead to the suppression or replacement of miRNAs have been developed. Focusing on the role of miRNAs in managing the treatment of leukemia, in this review article we have investigated the miRNAs and signaling pathways involved in the process of apoptosis and cell proliferation, as well as miRNAs with oncogenic function in malignant leukemia cells. Among the studied miRNAs, miR-99a, and miR-181a play an essential role in apoptosis, proliferation and oncogenesis via AKT, MAPK, RAS, and mTOR signaling pathways. miR-223 and miR-125a affect apoptosis and oncogenesis via Wnt/B-catenin, PTEN/PI3K, and STAT5/AKT/ERK/Src signaling pathways. miR-100 also affects both apoptosis and oncogenesis; it acts via IGF1 and mTOR signaling pathways.

Inhibitor of DNA binding/differentiation proteins as IDs for pancreatic cancer: Role in pancreatic cancer initiation, development and prognosis

A family of inhibitors of cell differentiation or DNA-binding proteins, known as ID proteins (ID1-4), function as mighty transcription factors in various cellular processes, such as inhibiting differentiation, promoting cell-cycle progression, senescence, angiogenesis, tumorigenesis, and metastasis in cancer. Pancreatic cancer represents the deadliest cancer with the lowest survival rate of 10% due to the diagnosis at an advanced fatal stage and therapeutic resistance. Modestly, the only curative option for this lethal cancer is surgery but is done in less than 15-20% of patients because of the locally aggressive and early metastatic nature. Finding the earliest biomarkers and targeting the various hallmarks of pancreatic cancer can improve the treatment and survival of pancreatic cancer patients. Therefore, herein in this review, we explore in depth the potential roles of ID proteins function in hallmarks of pancreatic cancer, signaling pathways, and its oncogenic and tumor-suppressive effects. Hence, understanding the roles of dysregulated ID proteins would provide new insights into its function in pancreatic cancer tumorigenesis.

Comprehensive analysis of ID genes reveals the clinical and prognostic value of ID3 expression in acute myeloid leukemia using bioinformatics identification and experimental validation

BACKGROUND

Dysregulation of inhibitor of differentiation/DNA binding (ID) genes is linked to cancer growth, angiogenesis, invasiveness, metastasis and patient survival. Nevertheless, few investigations have systematically determined the expression and prognostic value of ID genes in acute myeloid leukemia (AML).

METHODS

The expression and clinical prognostic value of ID genes in AML were first identified by public databases and further validated by our research cohort.

RESULTS

Using public data, the expression of ID1/ID3 was markedly downregulated in AML, and the expression of ID2 was greatly upregulated in AML, whereas ID4 showed no significant difference. Among the ID genes, only ID3 expression may be the most valuable prognostic biomarker in both total AML and cytogenetically normal AML (CN-AML) and especially in CN-AML. Clinically, reduced ID3 expression was greatly associated with higher white blood cell counts, peripheral blood/bone marrow blasts, normal karyotypes and intermediate cytogenetic risk. In addition, low ID3 expression was markedly related to FLT3 and NPM1 mutations as well as wild-type TP53. Despite these associations, multivariate Cox regression analysis revealed that ID3 expression was an independent risk factor affecting overall survival (OS) and disease free survival (DFS) in CN-AML patients. Biologically, a total of 839 mRNAs/lncRNAs and 72 microRNAs were found to be associated with ID3 expression in AML. Importantly, the expression of ID3 with discriminative value in AML was further confirmed in our research cohort.

CONCLUSION

The bioinformatics analysis and experimental verification demonstrate that low ID3 expression independently affects OS and DFS in patients with CN-AML, which might be seen as a potential prognostic indicator in CN-AML.

Identification of a prognostic signature based on copy number variations (CNVs) and CNV-modulated gene expression in acute myeloid leukemia

OBJECTIVES

Acute myeloid leukemia (AML) is caused by multiple genetic alterations in hematopoietic progenitors, and molecular genetic analyses have provided useful information for AML diagnosis and prognostication. This study aimed to integratively understand the prognostic value of specific copy number variation (CNV) patterns and CNV-modulated gene expression in AML.

METHODS

We conducted integrative CNV profiling and gene expression analysis using data from the Therapeutically Applicable Research To Generate Effective Treatments (TARGET) and The Cancer Genome Atlas (TCGA) AML cohorts. CNV-related genes associated with survival were identified using the TARGET AML cohort and validated using the TCGA AML cohort. Genes whose CNV-modulated expression was associated with survival were also identified using the TARGET AML cohort and validated using the TCGA AML cohort, and patient bone marrow samples were then used to further validate the effects of CNV-modulated gene expression on survival. CNV and mRNA survival analyses were conducted using proportional hazards regression models (Cox regression) and the "survminer" and "survival" packages of the R Project for Statistical Computing. Genes belonging to the Kyoto Encyclopedia of Genes and Genomes (KEGG) cancer panel were extracted from KEGG cancer-related pathways.

RESULTS

One hundred two CNV-related genes (located at 7q31-34, 16q24) associated with patient survival were identified using the TARGET cohort and validated with the TCGA AML cohort. Among these 102 validated genes, three miRNA genes (MIR29A, MIR183, and MIR335) were included in the KEGG cancer panel. Five genes (SEMA4D, CBFB, CHAF1B, SAE1, and DNMT1) whose expression was modulated by CNVs and significantly associated with clinical outcomes were identified, and the deletion of SEMA4D and CBFB was found to potentially exert protective effects against AML. The results of these five genes were also validated using patient marrow samples. Additionally, the distribution of CNVs affecting these five CNV-modulated genes was independent of the risk group (favorable-, intermediate-, and adverse-risk groups).

CONCLUSIONS

Overall, this study identified 102 CNV-related genes associated with patient survival and identified five genes whose expression was modulated by CNVs and associated with patient survival. Our findings are crucial for the development of new modes of prognosis evaluation and targeted therapy for AML.

Circ_0009910 sponges miR-491-5p to promote acute myeloid leukemia progression through modulating B4GALT5 expression and PI3K/AKT signaling pathway

BACKGROUND

Acute myeloid leukemia (AML) is a heterogeneous group of leukemias with an overall poor prognosis. Circular RNAs (circRNAs) have been verified to play important regulatory roles in AML progression. However, the role and molecular mechanism of circ_0009910 in AML development have not be completely clarified.

METHODS

The expression levels of circ_0009910, microRNA-491-5p (miR-491-5p), and β-1, 4-galactosyltransferase 5 (B4GALT5) were measured by quantitative real-time polymerase chain reaction (qRT-PCR) or Western blot. Cell proliferation and self-renewal ability were assessed via Cell Counting Kit-8 (CCK-8) and sphere formation assay. Cell cycle distribution and cell apoptosis were evaluated by flow cytometry. Caspase-3 activity was tested by Caspase-3 Activity Assay Kit. Western blot was used to examine the protein levels of autophagy-related markers and PI3K/AKT pathway-related markers. The interaction between miR-491-5p and circ_0009910 or B4GALT5 was confirmed by dual-luciferase reporter assay, RNA immunoprecipitation (RIP) assay, or RNA pull-down assay.

RESULTS

Circ_0009910 was highly expressed in AML tissues and cells. Silenced circ_0009910 could significantly inhibit the proliferation, sphere formation, and autophagy and promoted the apoptosis of AML cells. Circ_0009910 bound to miR-491-5p in AML cells, and circ_0009910 promoted AML progression partly through sponging miR-491-5p in vitro. B4GALT5 was a target of miR-491-5p, and miR-491-5p overexpression-mediated influences in AML cells were effectually overturned by the addition of B4GALT5 overexpression plasmid. Furthermore, circ_0009910 could regulate the expression of B4GALT5 by downregulating miR-491-5p in AML cells. Additionally, circ_0009910 could activate the PI3K/AKT signaling pathway by sponging miR-491-5p.

CONCLUSION

Circ_0009910 could suppress the proliferation, sphere formation, and autophagy and accelerated apoptosis by modulating B4GALT5 expression and activating the PI3K/AKT signaling pathway via sponging miR-491-5p in AML cells, suggesting that circ_0009910 might be a potential biomarker for the treatment of AML.

Small molecules with huge impacts: the role of miRNA-regulated PI3K pathway in human malignancies

Along with evolution, a considerable number of signaling cascades have evolved within cells to meet their multifaceted needs. Among transmitting molecules, phosphoinositide 3-kinase (PI3K), Akt, and mammalian target of rapamycin (mTOR) have teamed up to build a signaling axis that effectively regulates various cellular processes including cell proliferation and migration. Given the extensive output of the PI3K/Akt/mTOR signaling axis, its aberrancy could subsequently lead to the formation of a wide range of human cancers spanning from hematologic malignancies to different types of solid tumors. Despite the high frequency of the PI3K pathway over-activation in most malignancies, mutations in the DNA sequence are not equally common. Such incompatibility sheds light on the possible effects of post-translational modification mechanisms that may take control of this pathway, some of the most important ones of which are through microRNAs (miRNAs or miRs). The present review is designed to take off the veil from the regulatory role of these small non-coding RNAs on the PI3K/Akt/mTOR signaling axis in carcinogenesis.

Decitabine shows anti-acute myeloid leukemia potential via regulating the miR-212-5p/CCNT2 axis

Previous research has revealed the involvement of microRNA-212-5p (miR-212-5p) and cyclin T2 (CCNT2) in acute myeloid leukemia (AML). However, whether the miR-212-5p/CCNT2 axis is required for the function of decitabine in AML has not been well elucidated. Quantitative reverse transcription-polymerase chain reaction was used to examine enrichment of miR-212-5p. The relationship between CCNT2 and miR-212-5p was verified by the luciferase reporter assay. Cell apoptosis was evaluated by flow cytometry and western blot. CCK-8 assay was performed to determine cell viability. Decitabine significantly repressed cell viability, while promoted cell apoptosis. Meanwhile, the expression levels of cyclinD1, CDK4, and Bcl-2 were suppressed in cells with decitabine exposure, but Bax and caspase-3 expression levels were upregulated. Besides, miR-212-5p upregulation had the similar function with decitabine in AML cell proliferation and apoptosis. Subsequently, restoration of CCNT2 attenuated miR-212-5p overexpression-induced effects in Kasumi-1 and SKNO-1 cells. In addition, miR-212-5p depletion reversed decitabine-induced CCNT2 downregulation. The miR-212-5p/CCNT2 axis had an implication in the anti-leukemic effect of decitabine in AML.

Novel Gene Signature Reveals Prognostic Model in Acute Myeloid Leukemia

Background

Acute myeloid leukemia (AML) is a clonal malignant disease with poor prognosis and a low overall survival rate. Although many studies on the treatment and detection of AML have been conducted, the molecular mechanism of AML development and progression has not been fully elucidated. The present study was designed to pursuit the molecular mechanism of AML using a comprehensive bioinformatics analysis, and build an applicable model to predict the survival probability of AML patients in clinical use.

Methods

To simplify the complicated regulatory networks, we performed the gene co-expression and PPI network based on WGCNA and STRING database using modularization design. Two machine learning methods, A least absolute shrinkage and selector operation (LASSO) algorithm and support vector machine-recursive feature elimination (SVM-RFE), were used to filter the common hub genes by five-fold cross-validation. The candidate hub genes were used to build the predictive model of AML by the cox-proportional hazards analysis, and validated in The Cancer Genome Atlas (TCGA) cohort and ohsu cohort, which were reliable in the experimental verification by qRT-PCR and western blotting in mRNA and protein levels.

Results

Three hub genes, FLT3, CD177 and TTPAL were used to build a clinically applicable model to predict the survival probability of AML patients and divided them into high and low groups. To compare the survival ability of the model with the classical clinical features, we generated the nomogram. The model displayed the most risk points contrast to other clinical characteristics, which was compatible with the data of cox multivariate regression.

Conclusion

This study reveal the novel molecular mechanism of AML, and construct a clinical model significantly related to AML patient prognosis. We showed the integrated roles of critical pathways, hub genes associated, which provide potential targets and new research ideas for the treatment and early detection of AML.

Expression and prognosis analysis of DNMT family in acute myeloid leukemia

DNA methyltransferases (DNMTs) by regulating DNA methylation play crucial roles in the progression of hematologic malignancies, especially for acute myeloid leukemia (AML). Accumulating investigations have identified the high incidence of DNMT3A mutation in AML, and it is correlated with poor prognosis. Although a few studies have shown the expression of DNMTs and their clinical significance in AML, the results remain to be discussed. Herein, we systemically analyzed the DNMTs expression and their relationship with clinic-pathological features and prognosis in AML patients. DNMTs expression especially for DNMT3A/3B was closely associated with AML among various human cancers. DNMT3A expression was increased in AML patients, whereas DNMT3B expression was decreased. Significant associations between DNMT3A/B expression and clinic-pathological features/gene mutations were observed. Kaplan-Meier analysis showed that DNMT3A expression was associated with better overall survival (OS) and leukemia-free survival (LFS) among whole-cohort AML, and independently affected OS determined by Cox repression multivariate analysis. Notably, patients that received hematopoietic stem cell transplantation (HSCT) showed significantly better OS and LFS in DNMT3A lower-expressed groups, whereas patients in DNMT3A higher-expressed groups did not. By bioinformatics analysis, DNMT3A expression was found to be positively correlated with several leukemia-associated genes/microRNAs, and DNMT3A was identified as direct targets of miR-429 and miR-29b in AML. Collectively, our study demonstrated that DNMT3A/3B showed significant expression differences in AML. DNMT3A expression acted as a potential prognostic biomarker and may guide treatment choice between chemotherapy and HSCT in AML.

Role of microRNA dysregulation in childhood acute leukemias: Diagnostics, monitoring and therapeutics: A comprehensive review

MicroRNAs (miRNAs) are short noncoding RNAs that regulate the expression of genes by sequence-specific binding to mRNA to either promote or block its translation; they can also act as tumor suppressors (e.g., let-7b, miR-29a, miR-99, mir-100, miR-155, and miR-181) and/or oncogenes (e.g., miR-29a, miR-125b, miR-143-p3, mir-155, miR-181, miR-183, miR-196b, and miR-223) in childhood acute leukemia (AL). Differentially expressed miRNAs are important factors associated with the initiation and progression of AL. As shown in many studies, they can be used as noninvasive diagnostic and prognostic biomarkers, which are useful in monitoring early stages of AL development or during therapy (e.g., miR-125b, miR-146b, miR-181c, and miR-4786), accurate classification of different cellular or molecular AL subgroups (e.g., let-7b, miR-98, miR-100, miR-128b, and miR-223), and identification and development of new therapeutic agents (e.g., mir-10, miR-125b, miR-203, miR-210, miR-335). Specific miRNA patterns have also been described for commonly used AL therapy drugs (e.g., miR-125b and miR-223 for doxorubicin, miR-335 and miR-1208 for prednisolone, and miR-203 for imatinib), uncovering miRNAs that are associated with treatment response. In the current review, the role of miRNAs in the development, progression, and therapy monitoring of pediatric ALs will be presented and discussed.

MicroRNAs: pivotal regulators in acute myeloid leukemia

MicroRNAs are a class of small non-coding RNAs that are 19-22 nucleotides in length and regulate a variety of biological processes at the post-transcriptional level. MicroRNA dysregulation disrupts normal biological processes, resulting in tumorigenesis. Acute myeloid leukemia is an invasive hematological malignancy characterized by the abnormal proliferation and differentiation of immature myeloid cells. Due to the low 5-year survival rate, there is an urgent need to discover novel diagnostic markers and therapeutic targets. In recent years, microRNAs have been shown to play important roles in hematological malignancies by acting as tumor suppressors and oncogenes. MicroRNAs have the potential to be a breakthrough in the diagnosis and treatment of acute myeloid leukemia. In this review, we summarize the biology of microRNAs and discuss the relationships between microRNA dysregulation and acute myeloid leukemia in the following aspects: signaling pathways, the abnormal biological behavior of acute myeloid leukemia cells, the clinical application of microRNAs and competing endogenous RNA regulatory networks.

MicroRNA-188-5p Promotes Epithelial-Mesenchymal Transition by Targeting ID4 Through Wnt/β‑catenin Signaling in Retinoblastoma

PURPOSE

Here, we investigated the involvement of the miR-188-5p/inhibitor of the DNA binding 4 (ID4) axis in retinoblastoma (Rb).

PATIENTS AND METHODS

We included 35 Rb tissues and the corresponding adjacent normal tissues. RT-qPCR, Western blot, lentivirus transfection, measurement of cell migration in vitro, and chip analysis were performed during the study. Mouse Rb models were established to investigate the in vivo mechanisms.

RESULTS

We showed that miR-188-5p was upregulated in Rb tissues; moreover, we identified a pathway involving the upregulation of miR-188-5p and its downstream target, ID4, in vitro. Cell experiments revealed that the overexpression of miR-188-5p significantly downregulated the expression of ID4 and the underlying mechanism involved direct targeting of the ID4 3'-UTR. The levels of ID4 are lower in Rb tissues; it plays an antitumor role by inhibiting Rb metastasis in vitro and in vivo. Further investigation revealed that the miR-188-5p/ID4 axis regulated metastasis by promoting epithelial-mesenchymal transition (EMT). We demonstrated that microRNA-188-5p promoted EMT by targeting ID4 through Wnt/β catenin signaling in Rb.

CONCLUSION

miRNA-188-5p can promote EMT by targeting ID4 through the Wnt/β‑catenin signaling pathway.

Weighted Gene Coexpression Network Analysis Identifies Cysteine-Rich Intestinal Protein 1 (CRIP1) as a Prognostic Gene Associated with Relapse in Patients with Acute Myeloid Leukemia

BACKGROUND Acute myeloid leukemia (AML) is associated with a high relapse rate and poor prognosis. This study aimed to use weighted gene coexpression network analysis (WGCNA) of gene coexpression networks to identify candidate prognostic biomarker genes in patients with AML and to investigate the expression of these genes in the human U937 cell line in vitro. MATERIAL AND METHODS RNA-seq data were retrieved from the Cancer Genome Atlas (TCGA) and included bone marrow samples and survival data of patients with AML (N=151), patients who did not relapse after treatment (N=119), and patients with relapse (N=40). Differentially expressed genes were identified, WGCNA was used to detect functional modules, and survival analysis was performed. The Cell Counting Kit-8 (CCK-8) assay investigated the proliferation of U937 cells transfected with short hairpin RNAs (shRNAs), shCRIP1, shHIST1H1C, and shHIST1H1E. RNA-seq analysis identified gene expression following CRIP1 knockdown. RESULTS Eighty-two genes were associated with both relapse and prognosis in patients with AML. There were two prognosis-related gene modules in the coexpression network. In the coexpression network, the histone cluster 1 H1 family member gene, HIST1H1C had the maximum relapse fold change, HIST1H1E had the lowest survival p-value, and the cysteine-rich intestinal protein 1 (CRIP1) gene had the most edge numbers and was significantly associated with poor prognosis (P=0.0165786). RNA-seq data showed that there was a significant difference in gene expression after CRIP1 knockdown in U937 cells. CONCLUSIONS WGCNA of gene coexpression networks identified CRIP1 as a potential prognostic biomarker gene in patients with AML.