Characteristics and Clinical Value of MYC, BCL2, and BCL6 Rearrangement Detected by Next-generation Sequencing in DLBCL.

MYC, BCL2, and BCL6 rearrangements are clinically important events of diffuse large B-cell lymphoma (DLBCL). The ability and clinical value of targeted next-generation sequencing (NGS) in the detection of these rearrangements in DLBCL have not been fully determined. We performed targeted NGS (481-gene-panel) and break-apart FISH of MYC, BCL2, and BCL6 gene regions in 233 DLBCL cases. We identified 88 rearrangements (16 MYC; 20 BCL2; 52 BCL6 ) using NGS and 96 rearrangements (28 MYC; 20 BCL2; 65 BCL6) using FISH. The consistency rates between FISH and targeted NGS for the detection of MYC, BCL2, and BCL6 rearrangements were 93%, 97%, and 89%, respectively. FISH-cryptic rearrangements (NGS+/FISH-) were detected in 7 cases (1 MYC; 3 BCL2; 2 BCL6; 1 MYC::BCL6), mainly caused by small chromosomal insertions and inversions. NGS-/FISH+ were detected in 38 cases (14 MYC; 4 BCL2; 20 BCL6).To clarify the cause of the inconsistencies, we selected 17 from the NGS-/FISH+ rearrangements for further whole genome sequencing (WGS), and all 17 rearrangements were detected with break points by WGS. These break points were all located outside the region covered by the probe of targeted NGS, and most (16/17) were located in the intergenic region. These results indicated that targeted NGS is a powerful clinical diagnostics tool for comprehensive MYC, BCL2, and BCL6 rearrangement detection. Compared to FISH, it has advantages in describing the break point distribution, identifying uncharacterized partners, and detecting FISH-cryptic rearrangements. However, the lack of high-sensitivity caused by insufficient probe coverage is the main limitation of the current technology.

Long Non-coding RNA Linc01224 Regulates Hypopharyngeal Squamous Cell Carcinoma Growth Through Interactions with miR-485-5p and IGF2BP3.

Increasing evidence illustrates that long non-coding RNAs (lncRNAs) play significant oncogenic roles, including hypopharyngeal squamous cell carcinoma (HSCC). The function and mechanism of long non-coding RNAs (lncRNAs) in hypopharyngeal squamous cell carcinoma (HSCC) have not been fully elucidated. Therefore, this study aimed to investigate the role of a specific lncRNA, linc01224, in regulating the miR-485-5p/IGF2BP3 axis in HSCC. We confirmed the lncRNA expression profiles in 5 pairs of HSCC and normal tissues by lncRNA sequencing. Another 28 HSCC tissues were further validated by quantitative real-time PCR (qRT-PCR). qRT-PCR was also used to detect the expression levels of linc01224, miR-485-5p and IGF2BP3 in HSCC cell lines. Next, functional experiments in vitro and in vivo were applied to determine the effects of linc01224 silencing on tumor proliferation, migration, apoptosis and progression in HSCC. Linc01224 expression was significantly higher in HSCC tissues than in adjacent normal tissues. In addition, HSCC patients with low IGF2BP3 expression had good survival. In vitro assays were mechanistically performed to explore whether linc01224 positively regulates IGF2BP3 expression via its competitive inhibition of miR-485-5p. An in vivo animal model also confirmed that linc01224 could promote the occurrence and development of HSCC. Our study first identified that linc01224 plays an oncogenic role in HSCC. It suggests that linc01224 may act as a prognostic biomarker and potential therapeutic target for HSCC.

Aberrant miRNA-mRNA regulatory network in polycystic ovary syndrome is associated with markers of insulin sensitivity and inflammation.

BACKGROUND: Polycystic ovary syndrome (PCOS) is a common multifactorial metabolic and endocrine disorder in women of reproductive age. Increasingly, evidence indicates that the microRNA (miRNA)-mRNA axis contributes to the development of PCOS. METHODS: To investigate the molecular mechanisms through which miRNA-mRNA expression affects hyperandrogenism, ovarian tissue samples from prenatally androgenized (PNA) mice were subjected to miRNA-seq and RNA-seq analysis. Analyses were performed to identify differentially expressed microRNAs (DEmiRs) and differentially expressed genes (DEGs). In combination with our previous data obtained from clinical samples, we have performed an integrated miRNA-mRNA analysis of PNA mice and granulosa cells (GCs) from patients with PCOS. The changes in expression were validated by RT-qPCR in more mouse models and clinical samples. RESULTS: In total, 3,432 genes and 16 miRNAs were differentially expressed in PNA mice compared with the control mice. We investigated the regulation pattern of miRNAs-mRNAs and observed a total of 12 miRNA-mRNA pairs involved in negative regulation. Functional analysis concentrated on insulin resistance, the T cell receptor signaling pathway, and other inflammation-related pathways. Verification of these results by RT-qPCR showed that the expression of miR-106-5p and miR-155-5p in clinical GCs was consistent with that in PNA mice. After predicting the target genes of miR-106-5p and miR-155-5p and performing negative regulation analysis, six target genes were obtained in GCs. The integration analysis showed that the network of miR-106-5p/miR-155-5p targets was mostly concentrated in pathway related to insulin resistance and inflammation. In addition, the upregulation of the inflammatory genes Il18/IL18 and Socs3/SOCS3 was validated in the PNA mice and GCs from patients compared with the appropriate control sample. The in vitro experiments showed that the regulatory relationship observed may be related to the direct stimulation of DHT. CONCLUSIONS: Our results showed that the miRNA-mRNA regulatory network in PCOS was associated with markers of insulin sensitivity and inflammation. Our study provides a new genetic basis and novel insight regarding the pathogenesis of PCOS.

Integrated Transcriptomic and Epigenetic Study of PCOS: Impact of Map3k1 and Map1lc3a Promoter Methylation on Autophagy.

Polycystic ovary syndrome (PCOS) is a prevalent heterogeneous endocrine and metabolic disorder in women of reproductive age. Epigenetic mechanisms contribute to the development of PCOS. Nevertheless, the role of DNA methylation in the development of PCOS remains unclear. To investigate the molecular mechanisms underlying the hyperandrogenic phenotype of PCOS, dihydrotestosterone (DHT)-induced prenatally androgenized (PNA) mice were used to mimic this phenotype. Ovarian samples from PNA and control mice were subjected to methyl-CpG-binding domain (MBD)-seq and RNA-seq, and validation was conducted using methylation-specific polymerase chain reaction (MSP) and quantitative real-time PCR (RT-qPCR). Immunohistochemical analysis (using anti-LC3II antibody) and transmission electron microscopy were conducted using ovarian tissue sections (which included granulosa cells) from PNA and control mice. There were 857 genes with differentially methylated promoter regions and 3,317 differentially expressed genes (DEGs) in the PNA mice compared to the control mice. Downregulation of Dnmt1 (which encodes DNA methyltransferase 1), accompanied by global hypomethylation, was observed in the PNA mice compared to the control mice. The promoter regions of Map3k1 (which encodes MEKK1) and Map1lc3a (which encodes LC3II) were hypomethylated, accompanied by upregulation of Map3k1 and Map1lc3a mRNA expression. The autophagy profiling results showed that LC3II protein expression and autophagosomes were significantly increased in the granulosa cells of PNA mice. Additionally, the mRNA expression of genes related to the mitogen-activated protein kinase (MAPK)/p53 pathway (Mapk14, Mapkapk3, and Trp53) and the autophagy-related gene Becn1 were significantly increased. DHT could change the DNA methylation and transcription level of Map3k1 and lead to an activation of autophagy in granulosa cells. These observations indicated that the change in autophagy may be driven by MAPK/p53 pathway activation, which may have been caused by DHT-induced transcriptional, and the methylation level changed of the key upstream gene Map3k1. Our study provides a novel genetic basis and new insights regarding the pathogenesis of PCOS.

Identification of epigenetic interactions between microRNA and DNA methylation associated with polycystic ovarian syndrome.

Aberration in microRNA expression or DNA methylation is a causal factor for polycystic ovarian syndrome. However, the epigenetic interactions between miRNA and DNA methylation remain unexplored in PCOS. We conducted a novel integrated analysis of RNA-seq, miRNA-seq, and methylated DNA-binding domain sequencing on ovarian granulosa cells to reveal the epigenetic interactions involved in the pathogenesis of PCOS. We identified 830 genes and 30 miRNAs that were expressed differently in PCOS, and seven miRNAs negatively regulated target mRNA expression. 130 miRNAs' promoters were significantly differently methylated, while 13 were associated with miRNA expression. Furthermore, the hypermethylation of miR-429, miR-141-3p, and miR-126-3p' promoter was found related to miRNA expression suppression and therefore their corresponding genes upregulation, including XIAP, BRD3, MAPK14, and SLC7A5. Our findings provide a novel insight in PCOS. The consequential reversal of genes silencing may participate in PCOS pathogenesis and served as potential molecular targets for PCOS.

An Iron Metabolism-Related SLC22A17 for the Prognostic Value of Gastric Cancer.

PURPOSE: Gastric cancer (GC) is a type of malignant cancer with a poor prognosis. The iron's metabolism plays an important role in the process of GC. The aim of this study was to evaluate the effectiveness of SLC22A17, associated with iron metabolism, in predicting the prognosis of GC patients. MATERIALS AND METHODS: We analyzed genes related to iron metabolism of gastric cancer mRNA-seq data from TCGA database. We identified an iron metabolism-related SLC22A17 as an independent prognostic factor using univariate and multivariate Cox regression analysis. RESULTS: Further research showed that SLC22A17 was related with many pathways involved in the process of gastric cancer, and the expression was associated with diverse cancer-infiltrating immune cells. The expression of SLC22A17 was associated with T (Topography). CONCLUSION: We validated that SLC22A17 associated with iron metabolism could serve as a prognostic biomarker for GC patients.

Post-Transcriptional Dysregulation of microRNA and Alternative Polyadenylation in Colorectal Cancer.

BACKGROUND: Colorectal cancer (CRC) is one of the leading causes of cancer death worldwide. microRNAs (miRNAs) repress gene expression by binding to complementary sequences in the 3' untranslated region (3'UTR) of target mRNAs. Alternative polyadenylation (APA) are relevant to the variability of the 3'UTR of mRNA. However, the posttranscriptional dysregulation of miRNAs and APA in CRC are poorly understood. METHOD: In this study, we conducted small RNA sequencing to identify differentially expressed miRNAs (DERs) and their target genes. Function analysis on DER-target genes can explain the regulation roles of miRNAs in CRC. The mutual regulation of miRNAs and APA was analyzed by combining miRNA data to 3'UTR alteration using 3' termini of polyadenylated RNAs sequencing (3T-seq) technique, and this was validated using TCGA gene expression data. RESULTS: Our results showed 64 significant differentially expressed miRNAs (DERs) in CRC patients. Their target genes were related to cell adhesion and transcription regulation and were prevailingly involved in the CRC-related pathway. Integrative analysis of the miRNA and APA profile revealed 16 DERs were correlated with 12 polyadenylation factors, and six of them were significantly differently expressed in CRC. We also found four DERs that lost binding sites due to APA and showed a positive correlation between the miRNA and gene expression. CONCLUSION: Our study found that miRNAs regulated APA by modulating key polyadenylation factors, and several miRNAs lost their suppression on mRNA due to APA. Associating this with gene expression may provide some important clues for a deeper study of posttranscriptional cellular regulation and biomarker research in CRC. Our data provided the first evidence that the interaction between miRNAs and APA associated with gene expression could serve as biomarkers for CRC, suggesting that hsa-miR-133a-3p and MLEC, hsa-miR-145-5p and SET, hsa-miR-1-3p and PPIA, and hsa-miR-378d and YY1 might be novel and potential biomarkers in improving the diagnosis of CRC.

Gene mutation and pedigree analysis of tetrahydrobiopterin deficiency in a Uygur family of China.

BACKGROUND: Tetrahydrobiopterin (BH4 ) deficiency is an autosomal recessive disorder, which is caused by an enzyme deficiency involved in its synthetic or metabolic pathways. Clinical symptoms may include microcephaly, hypoevolutism, severe ataxia, and seizures. The purposes of this study are to analyze the genotype-phenotype and the pedigree of the first case of BH4 deficiency in the Uygur of China. METHODS: (a) This patient received tandem mass spectrometry, urinary neopterin and biopterin analysis, and determination of dihydropteridine reductase (DHPR) activity in dried blood spots. (b) Blood DNA samples of this patient and her three family members were collected for gene sequencing and mutation analysis. RESULTS: (a) The basic urinary neopterin and biopterin were 1.07 mmol/mol Cr and 3.12 mmol/mol Cr, respectively, and biopterin percentage was 74.42%. The DHPR activity of this patient was 31.11% of normal control. (b) Sanger sequencing of PAH gene in this patient was negative but positive of her sister, which carries 2 heterozygous mutation c.781C>T and c.1238G>C. Next-generation sequencing on the patient identified a homozygous mutation in the quinoid dihydropteridine reductase (QDPR) gene at c.508G>A, which was confirmed by Sanger sequencing. CONCLUSION: (a) The patient was the first case of clinical diagnosis of BH4 deficiency in the Uighur. And there are two types of hyperphenylalaninemia (HPA) in the same family. (b) The mild HPA patient with severe nervous system damage should pay more attention to the BH4 deficiency. (c) Using next-generation sequencing technology can increase the mutation detection rate when the hereditary diseases are highly suspected in clinic.

Risk factors of mild cognitive impairment in middle aged patients with type 2 diabetes: a cross-section study.

UNLABELLED: The aim of this study was to evaluate the risk factors of mild cognitive impairment (MCI) in middle-aged patients with type 2 diabetes (T2DM). METHODS: Montreal Cognitive Assessment (MoCA) was applied as cognition assessment implement. One hundred and fifty-seven middle-aged type 2 diabetic patients were enrolled in this cross-section study (age 40~69, mean age 55 ± 7). There were 93 patients with MCI (MoCA score<26) in MCI group and 64 with normal cognitive function (MoCA score ≥ 26) in control group. Information of history of disease, family history, data of BMI, WHR, HbA1c, FINS, C-Peptide (C-P), SBP, DBP, blood lipid (TG, TC, LDL-C, HDL-C and carotid ultrasound (carotid IMT, carotid resistance index [RI]) was collected. RESULTS: There were significant differences in the rate of patients with hypertension ([40.63 vs. 58.06%], P=0.026), duration of diabetes mellitus ([3.09 ± 4.04 y vs. 4.80 ± 4.94 y], P=0.024), C-P ([2.79 ± 1.09 ng/ml vs. 2.26 ± 1.00 ng/ml], P=0.008), Max C-IMT ([0.81 ± 0.15 mm vs. 0.91 ± 0.15 mm], P<0.001), Min C-RI (0.71 ± 0.06 vs. 0.68 ± 0.06, P<0.05), and no significant differences in the duration of hypertension and hyperlipidemia, BMI, WHR, HbA1c, SBP, DBP and blood lipid between control group and MCI group. MoCA scores were positively correlated with C-P (r=0.252, P=0.005), and negatively correlated with the history of hypertension (r=-0.244, P=0.002), duration of DM (r=-0.161, P=0.044), Max C-IMT (r=-0.253, P=0.005) and Min C-RI (r=-0.183, P=0.023). Multiple regression analysis showed that history of hypertension (Beta=-0.267, P=0.002), C-P (Beta=0.281, P=0.001) and Min C-RI (Beta=-0.221, P=0.011) were significantly independent determinants for the MoCA scores. CONCLUSIONS: The longer duration of diabetes, history of hypertension, lower serum C-P levels, thickened C-IMT and higher C-RI could be risk factors of MCI in type 2 diabetic patients. This finding could have an important impact on the management of cognitive decline in diabetic patients.