Effect of the transcriptional repressor Mad1 on proliferation of human melanoma cells

MAD1 deficiency accelerates hepatocellular proliferation via suppressing TGF-β signaling

Numerous researches have reported on the regulatory network of liver regeneration induced by partial hepatectomy (PH). However, information on key molecules and/or signaling pathways regulating the termination stage of liver regeneration remains limited. In this study, we identify hepatic mitotic arrest deficient 1 (MAD1) as a crucial regulator of transforming growth factor β (TGF-β) in the hepatocyte to repress liver regeneration. MAD1 has a low expression level at the rapid proliferation phase but significantly increases at the termination phase of liver regeneration. We show that MAD1 deficiency accelerates hepatocyte proliferation and enhances mitochondrial biogenesis and respiratory. Mechanistically, MAD1 deficiency in hepatocytes enhances mitochondrial function and promotes hepatocyte proliferation by suppressing TGF-β signaling. Our study reveals MAD1 as a novel suppressor of hepatocyte proliferation, which may provide a new therapeutic target for the recovery of liver function after liver transplant and partial hepatectomy.

Schizophrenia-associated differential DNA methylation in brain is distributed across the genome and annotated to MAD1L1, a locus at which DNA methylation and transcription phenotypes share genetic variation with schizophrenia risk

DNA methylation (DNAm), the addition of a methyl group to a cytosine in DNA, plays an important role in the regulation of gene expression. Single-nucleotide polymorphisms (SNPs) associated with schizophrenia (SZ) by genome-wide association studies (GWAS) often influence local DNAm levels. Thus, DNAm alterations, acting through effects on gene expression, represent one potential mechanism by which SZ-associated SNPs confer risk. In this study, we investigated genome-wide DNAm in postmortem superior temporal gyrus from 44 subjects with SZ and 44 non-psychiatric comparison subjects using Illumina Infinium MethylationEPIC BeadChip microarrays, and extracted cell-type-specific methylation signals by applying tensor composition analysis. We identified SZ-associated differential methylation at 242 sites, and 44 regions containing two or more sites (FDR cutoff of q = 0.1) and determined a subset of these were cell-type specific. We found mitotic arrest deficient 1-like 1 (MAD1L1), a gene within an established GWAS risk locus, harbored robust SZ-associated differential methylation. We investigated the potential role of MAD1L1 DNAm in conferring SZ risk by assessing for colocalization among quantitative trait loci for methylation and gene transcripts (mQTLs and tQTLs) in brain tissue and GWAS signal at the locus using multiple-trait-colocalization analysis. We found that mQTLs and tQTLs colocalized with the GWAS signal (posterior probability >0.8). Our findings suggest that alterations in MAD1L1 methylation and transcription may mediate risk for SZ at the MAD1L1-containing locus. Future studies to identify how SZ-associated differential methylation affects MAD1L1 biological function are indicated.

A Forward and Backward Stagewise Algorithm for Nonconvex Loss Functions with Adaptive Lasso

Penalization is a popular tool for multi- and high-dimensional data. Most of the existing computational algorithms have been developed for convex loss functions. Nonconvex loss functions can sometimes generate more robust results and have important applications. Motivated by the BLasso algorithm, this study develops the Forward and Backward Stagewise (Fabs) algorithm for nonconvex loss functions with the adaptive Lasso (aLasso) penalty. It is shown that each point along the Fabs paths is a δ-approximate solution to the aLasso problem and the Fabs paths converge to the stationary points of the aLasso problem when δ goes to zero, given that the loss function has second-order derivatives bounded from above. This study exemplifies the Fabs with an application to the penalized smooth partial rank (SPR) estimation, for which there is still a lack of effective algorithm. Extensive numerical studies are conducted to demonstrate the benefit of penalized SPR estimation using Fabs, especially under high-dimensional settings. Application to the smoothed 0-1 loss in binary classification is introduced to demonstrate its capability to work with other differentiable nonconvex loss function.

miR-19a/b modulates lung cancer cells metastasis through suppression of MXD1 expression

Increasing evidence has shown that microRNA (miRNA) is extensively involved in the pathophysiology of lung cancer. Microarray data demonstrated the increasing levels of miR-19a in the peripheral blood from patients suffering from lung cancer, which is closely associated with poor prognosis of lung cancer. However, the underlying molecular mechanism of miR-19a remains to be determined. The results of the present study showed a higher expression of miR-19a compared with normal bronchial epithelial cells. Furthermore, lentivirus vectors were constructed to establish cell lines that overexpressed and knocked out miR-19a in order to study the role of miR-19a on the metastasis and proliferation of lung cancer cells. Investigation into the underlying mechanism of miR-19a, revealed that MXD1 may be the key gene targeting miR-19a, participating in the process of proliferation and metastasis of lung cancer cells.

Functional interactions among members of the MAX and MLX transcriptional network during oncogenesis

The transcription factor MYC and its related family members MYCN and MYCL have been implicated in the etiology of a wide spectrum of human cancers. Compared to other oncoproteins, such as RAS or SRC, MYC is unique because its protein coding region is rarely mutated. Instead, MYC's oncogenic properties are unleashed by regulatory mutations leading to unconstrained high levels of expression. Under both normal and pathological conditions MYC regulates multiple aspects of cellular physiology including proliferation, differentiation, apoptosis, growth and metabolism by controlling the expression of thousands of genes. How a single transcription factor exerts such broad effects remains a fascinating puzzle. Notably, MYC is part of a network of bHLHLZ proteins centered on the MYC heterodimeric partner MAX and its counterpart, the MAX-like protein MLX. This network includes MXD1-4, MNT, MGA, MONDOA and MONDOB proteins. With some exceptions, MXD proteins have been functionally linked to cell cycle arrest and differentiation, while MONDO proteins control cellular metabolism. Although the temporal expression patterns of many of these proteins can differ markedly they are frequently expressed simultaneously in the same cellular context, and potentially bind to the same, or similar DNA consensus sequence. Here we review the activities and interactions among these proteins and propose that the broad spectrum of phenotypes elicited by MYC deregulation is intimately connected to the functions and regulation of the other network members. Furthermore, we provide a meta-analysis of TCGA data suggesting that the coordinate regulation of the network is important in MYC driven tumorigenesis. This article is part of a Special Issue entitled: Myc proteins in cell biology and pathology.

Prognostic impact of array-based genomic profiles in esophageal squamous cell cancer

BACKGROUND

Esophageal squamous cell carcinoma (ESCC) is a genetically complex tumor type and a major cause of cancer related mortality. Although distinct genetic alterations have been linked to ESCC development and prognosis, the genetic alterations have not gained clinical applicability. We applied array-based comparative genomic hybridization (aCGH) to obtain a whole genome copy number profile relevant for identifying deranged pathways and clinically applicable markers.

METHODS

A 32 k aCGH platform was used for high resolution mapping of copy number changes in 30 stage I-IV ESCC. Potential interdependent alterations and deranged pathways were identified and copy number changes were correlated to stage, differentiation and survival.

RESULTS

Copy number alterations affected median 19% of the genome and included recurrent gains of chromosome regions 5p, 7p, 7q, 8q, 10q, 11q, 12p, 14q, 16p, 17p, 19p, 19q, and 20q and losses of 3p, 5q, 8p, 9p and 11q. High-level amplifications were observed in 30 regions and recurrently involved 7p11 (EGFR), 11q13 (MYEOV, CCND1, FGF4, FGF3, PPFIA, FAD, TMEM16A, CTTS and SHANK2) and 11q22 (PDFG). Gain of 7p22.3 predicted nodal metastases and gains of 1p36.32 and 19p13.3 independently predicted poor survival in multivariate analysis.

CONCLUSION

aCGH profiling verified genetic complexity in ESCC and herein identified imbalances of multiple central tumorigenic pathways. Distinct gains correlate with clinicopathological variables and independently predict survival, suggesting clinical applicability of genomic profiling in ESCC.

Mad1 suppresses bladder cancer cell proliferation by inhibiting human telomerase reverse transcriptase transcription and telomerase activity

OBJECTIVES

To study the effects and possible mechanisms of mitosis arrest deficiency 1 (Mad1), the heterodimerizer of Max and a transcriptional repressor, on cell proliferation of bladder cancer in vitro and in vivo.

METHODS

Combining methyl thiazolyl tetrazolium (MTT) assay, flow cytometry, luciferase assay, telomeric repeat amplification protocol-enzyme-linked immunosorbent assay, real-time reverse transcriptase polymerase chain reaction, experimental animal models, and other assays, we detected the alterations of cell proliferation, cell cycle, promoter activity and expression of human telomerase reverse transcriptase (hTERT), and telomerase activity in different treated bladder cells and xenograft tissues.

RESULTS

Mad1 inhibited cell proliferation, increased G0/G1 accumulation in cell cycle distribution, decreased the transcription and expression of hTERT, and reduced telomerase activity compared with controls in T24 and EJ cells. Mad1 also arrested tumor growth and downregulated hTERT expression and telomerase activity in bladder cancer xenograft BALB/c nude mice.

CONCLUSIONS

Mad1 inhibited the proliferation of human bladder cancer cells by inhibiting hTERT transcription and telomerase activity. Mad1 could be a potentially useful candidate for inhibition of bladder cancer growth.

Gain of a region on 7p22.3, containing MAD1L1, is the most frequent event in small-cell lung cancer cell lines

Small-cell lung cancer (SCLC) is a highly aggressive lung neoplasm, which accounts for 20% of yearly lung cancer cases. The lack of knowledge of the progenitor cell type for SCLC precludes the definition of a normal gene expression profile and has hampered the identification of gene expression changes, while the low resolution of conventional genomic screens such as comparative genomic hybridization (CGH) and loss of heterozygosity analysis limit our ability to fine-map genetic alterations. The recent advent of whole genome tiling path array CGH enables profiling of segmental DNA copy number gains and losses at a resolution 100 times that of conventional methods. Here we report the analysis of 14 SCLC cell lines and six matched normal B-lymphocyte lines. We detected 7p22.3 copy number gain in 13 of the 14 SCLC lines and 0 of the 6 matched normal lines. In 4 of the 14 cell lines, this gain is present as a 350 kbp gene specific copy number gain centered at MAD1L1 (the human homologue of the yeast gene MAD1). Fluorescence in situ hybridization validated the array CGH finding. Intriguingly, MAD1L1 has been implicated to have tumor-suppressing functions. Our data suggest a more complex role for this gene, as MAD1L1 is the most frequent copy number gain in SCLC cell lines.

Down-regulation of Myc as a potential target for growth arrest induced by human polynucleotide phosphorylase (hPNPaseold-35) in human melanoma cells

Terminal differentiation and senescence share several common properties, including irreversible cessation of growth and changes in gene expression profiles. To identify molecules that converge in both processes, an overlapping pathway screening was employed that identified old-35, which is human polynucleotide phosphorylase (hPNPaseold-35), a 3',5'-exoribonuclease. We previously demonstrated that hPNPaseold-35 is a type I interferon-inducible gene that is also induced in senescent fibroblasts. In vitro RNA degradation assays confirmed its exoribonuclease properties, and overexpression of hPNPaseold-35 resulted in growth suppression in HO-1 human melanoma cells. The present study examined the molecular mechanism of the growth-arresting property of hPNPaseold-35. When overexpressed by means of a replication-incompetent adenoviral vector (Ad.hPNPaseold-35), hPNPaseold-35 inhibited cell growth in all cell lines tested. Analysis of cell cycle revealed that infection of HO-1 cells with Ad.hPNPaseold-35 resulted in arrest in the G1 phase and eventually apoptosis accompanied by marked reduction in the S phase. Infection with Ad.hPNPaseold-35 resulted in reduction in expression of the c-myc mRNA and Myc protein and modulated the expression of proteins regulating G1 checkpoint and apoptosis. In vitro mRNA degradation assays revealed that hPNPaseOLD-35 degraded c-myc mRNA. Overexpression of Myc partially but significantly protected HO-1 cells from Ad.hPNPaseold-35-induced growth arrest, indicating that Myc down-regulation might directly mediate the growth-inhibitory properties of Ad.hPNPaseold-35. Inhibition of hPNPaseold-35 by an antisense approach provided partial but significant protection against interferon-beta-mediated growth inhibition, thus demonstrating the biological significance of hPNPaseold-35 in interferon action.