Alterations of ATM and CADM1 in chromosomal 11q22.3-23.2 region are associated with the development of invasive cervical carcinoma

Knockdown of long non-coding RNA LINC01006 represses the development of hepatocellular carcinoma by modulating the miR-194-5p/CADM1 axis

INTRODUCTION AND OBJECTIVES

Long non-coding RNAs (lncRNAs) have great potential as therapeutic targets in hepatocellular carcinoma (HCC). In this study, we aimed to uncover the function and molecular mechanism of long intergenic non-protein coding RNA 1006 (LINC01006) in HCC.

MATERIALS AND METHODS

Mice were injected with HCC cells in order to establish the HCC model. Quantitative reverse transcription polymerase chain reaction was used to determine the expression levels of LINC01006, cell adhesion molecule 1 (CADM1), and microRNA (miR)-194-5p in HCC tissues and cells. The cell proliferation, invasion, and migration abilities were assessed by 3-(4,5-dimethylthiazol-2-yl)-2,5-diphenyl-2H-tetrazolium bromide, transwell, and wound healing assays. The interrelation between LINC01006, miR-194-5p, and CADM1 was confirmed by a dual-luciferase reporter assay. Western blotting was employed to assess the relative protein expression level of CADM1.

RESULTS

LINC01006 and CADM1 displayed upregulation, but miR-194-5p exhibited downregulation in HCC cells and tissues. Short hairpin (sh)-LINC01006 and miR-194-5p mimics repressed the proliferative, migratory, and invasive capacities of HCC cells, and injection of sh-LINC01006 restrained the growth of HCC tumours in mice. LINC01006 served as a competing endogenous RNA of miR-194-5p and was inversely correlated with miR-194-5p. CADM1 was targeted by miR-194-5p, inversely correlated with miR-194-5p, and positively associated with LINC01006. Furthermore, transfection of pcDNA-CADM1 or the miR-194-5p inhibitor reversed the suppressive effects of sh-LINC01006 on the proliferation, invasion, and migration abilities of HCC cells.

CONCLUSIONS

Downregulation of LINC01006 repressed the development of HCC by sponging miR-194-5p to modulate the expression of CADM1, implying its potential as a therapeutic target for HCC.

Identifying ataxia-telangiectasia in cancer patients: Novel insights from an interesting case and review of literature

Timely genetic testing leading to early diagnosis of A-T is crucial due to its plethora of implications on clinical management, particularly in those who develop malignancies. Thus, clinicians have to be astute in identifying diagnostic clues of A-T.

Deregulation of H19 is associated with cervical carcinoma

CACX is one of the most common cancer affecting women world-wide. Here, expression microarray analysis revealed 8 over-expressed transcribed pseudogenes (GBP1P1, HLA-DRB6, HLA-H, SLC6A10P, NAPSB, KRT16P2, PTTG3P and RNF126P1), down-regulated 7 lincRNAs (H19, MIR100HG, MEG3, DIO3OS, HOXA11-AS, CD27-AS1 and EPB41L4A-AS) and 6 snoRNAs (SNORD97, SNORD3A, SNORD3C, SNORD3D, SNORA12 and SCARNA9) as DEncGs (log2 fold-change ≥ ±1.0) in CACX. Consequently, down-regulation of lincRNA MEG3 and over-expression of pseudogenes, GBP1P1 and PTTG3P in the microarray analysis were found concordant with the real-time quantitative PCR results upon validation. Then, Ingenuity® Pathway analysis (IPA®) analysis with deregulated DEncGs identified functionally important gene, H19. Further, validation (n = 52) of expression confirmed frequent downregulation of H19 with significant association with its deletion (LOH) and promoter methylation (n = 128) in CACX. Moreover, clinicopathological analysis found Indian CACX patients (n = 26) with alterations of H19 by deletion or, promoter methylation with concomitant low expression have poor prognosis.

Exploration of the molecular mechanisms of cervical cancer based on mRNA expression profiles and predicted microRNA interactions

The molecular mechanisms of cervical cancer have been minimally explored with multi-omics data. In the present study, mRNA expression profiles were analyzed and combined with predicted miRNA interactions to contribute to the characterization of the underlying regulatory mechanisms of cervical cancer. A total of 92 significantly differentially expressed genes (DEGs) were identified in 33 tumor samples by comparison with 29 normal samples. mRNA-miRNA interaction network analysis revealed that 16 out of the 92 DEGs, including checkpoint kinase 1 (CHEK1), SRY-box 17 (SOX17), centrosomal protein 55, cyclin dependent kinase inhibitor 2A (CDKN2A), and inhibitor of DNA binding 4, were the targets of 4 miRNAs which were previously reported to be involved in the regulation of cervical cancer. Tumor and normal samples could be distinctly classified into two groups based on the expression of the 16 DEGs. Furthermore, survival analysis using the SurvExpress database indicated that the 16 DEGs could individually significantly differentiate low- and high-risk cervical cancer groups. Overall, multiple biological processes are likely to participate in the progression of cervical cancer based on the pathway and function enrichment identified for the DEGs. The dysregulation of SOX17 is associated with the regulation of embryonic development, the determination of cell fate and likely promotes cancer cell transformation. The dysregulation of CHEK1 and CDKN2A further promote cancer cell proliferation by affecting the cell cycle checkpoint in response to DNA damage. The identification of critical genes and biological processes associated with cervical cancer may be beneficial for the exploration of the molecular mechanisms.

An Optimization-Driven Analysis Pipeline to Uncover Biomarkers and Signaling Paths: Cervix Cancer

Establishing how a series of potentially important genes might relate to each other is relevant to understand the origin and evolution of illnesses, such as cancer. High-throughput biological experiments have played a critical role in providing information in this regard. A special challenge, however, is that of trying to conciliate information from separate microarray experiments to build a potential genetic signaling path. This work proposes a two-step analysis pipeline, based on optimization, to approach meta-analysis aiming to build a proxy for a genetic signaling path.

MicroRNA-1246 enhances migration and invasion through CADM1 in hepatocellular carcinoma

BACKGROUND

The aberrant expression of microRNAs has been demonstrated to play a crucial role in the initiation and progression of hepatocarcinoma. miR-1246 expression in High invasive ability cell line than significantly higher than that in low invasive ability cell line.

METHODS

Transwell chambers (8-uM pore size; Costar) were used in the in vitro migration and invison anssay. Dual luciferase reporter gene construct and Dual luciferase reporter assay to identify the target of miR-1246. CADM1 expression was evaluated by immunohistochemistric staining. The clinical manifestations, treatments and survival were collected for statistical analysis.

RESULTS

Inhibition of miR-1246 effectively reduced migration and invasion of hepatocellular carcinoma cell lines. Bioinformatics and luciferase reporter assay revealed that miR-1246 specifically targeted the 3'-UTR of Cell adhesion molecule 1 and regulated its expression. Down-regulation of CADM1 enhanced migration and invasion of HCC cell lines. Furthermore, in tumor tissues obtained from liver cancer patients, the expression of miR-1246 was negatively correlated with CADM1 and the high expression of miR-1246 combined with low expression of CADM1 might serve as a risk factor for stage1 liver cancer patients.

CONCLUSIONS

Our study showed that miR-1246, by down-regulation CADM1, enhances migration and invasion in HCC cells.

Metastasis of neuroendocrine tumors are characterized by increased cell proliferation and reduced expression of the ATM gene

PURPOSE

Gastroenteropancreatic neuroendocrine tumors (GEP-NETs) are rare group of tumors with a wide spectrum of clinical behavior. However, there are no known clinically relevant biomarkers to predict metastasis.

EXPERIMENTAL DESIGN

To investigate differential gene expression signatures of metastatic vs non-metastatic NETs, we studied cell cycle regulatory genes in 19 metastatic and 22 non-metastatic colorectal NETs by PCR arrays. Immunohistochemistry (IHC) and quantitative real-time RT-PCR were performed to verify the results and another set of 38 GEP-NETs were further studied for validation.

RESULTS

We first delineated six candidate genes for metastasis including ATM, CCND2, RBL2, CDKN3, CCNB1, and GTSE1. ATM was negatively correlated with metastatic NETs (p<0.001) with more than 2-fold change compared to non-metastatic NETs. Overexpression of ATM protein by IHC was strongly correlated with high ATM mRNA levels and low Ki-67 labeling index. Patients with ATM-negativity by IHC showed significantly decreased overall survival than patients with ATM-positivity (median OS, metastatic vs non-metastatic NETs; 2.7 years vs not reached; p = 0.003) and 85.7% of metastatic NETs were ATM-negative. In another validation set of GEP-NETs, decreased mRNA of ATM gene was associated with metastasis and remained significant (p = 0.023).

CONCLUSIONS

ATM down-regulation was strongly associated with metastatic NETs when compared with non-metastatic NETs and ATM may be a potential predictive marker for metastasis as well as a novel target in metastatic GEP-NETs.