PENGARUH TANGGUNG JAWAB SOSIAL PERUSAHAAN, PENGUNGKAPAN LINGKUNGAN TERHADAP KINERJA KEUANGAN PERUSAHAAN (Studi Pada Perusahaan Sub Sektor Manufaktur Makanan dan Minuman yang Terdaftar di Bursa Efek Indonesia Periode 2015-2019)

ABSTRAK Tujuan dari penelitian ini adalah untuk menemukan bukti empriris tentang pengaruh pengaruh tanggung jawab sosial perusahaan, pengungkapan lingkungan terhadap kinerja keuangan perusahaan. Sampel yang digunakan dalam penelitian ini pada perusahaan sub sektor manufaktur makanan dan minuman yang terdaftar di bursa efek Indonesia tahun 2015-2019. Metode yang digunakan dalam penelitian ini adalah metode kuantitaif. Penelitian ini menggunakan data sekunder. Teknik sampling yang digunakan dalam penelitian ini non-probability sampling dengan metode purposive sampling. Dalam penelitian ini populasi berjumlah 27 perusahaan dengan sampel sebanyak 8 perusahaan. Analisis statistik yang digunakan dalam penelitian ini adalah uji asumsi klasik, regresi linear berganda, koefisien determinasi, serta pengujian hipotesis parsial, pengujian hipotesis simultan dan pengolahan data. Hasil penelitian ini menunjukan bahwa Tanggung Jawab Sosial Perusahaan, dan Pengungkapan Lingkungan berpengaruh positif terhadap Kinerja Keuangan Perusahaan sub sektor manufaktur makanan dan minuman yang terdaftar di bursa efek Indonesia tahun 2015-2019. Dengan demikian perusahaan yang mengungkapkan tanggung jawab sosial perusahaan serta pengungkapan lingkungan cenderung memiliki kinerja keuangan perusahaan yang baik. Kata Kunci : Tanggung Jawab Sosial, Pengungkapan Lingkungan, Kinerja Keuangan Perusahaa

PPARgamma inhibits hepatocellular carcinoma metastases in vitro and in mice

Background: We have previously demonstrated that peroxisome proliferator-activated receptor (PPARγ) activation inhibits hepatocarcinogenesis. We aim to investigate the effect of PPARγ on hepatocellular carcinoma (HCC) metastatic potential and explore its underlying mechanisms. Methods: Human HCC cells (MHCC97L, BEL-7404) were infected with adenovirus-expressing PPARγ (Ad-PPARγ) or Ad-lacZ and treated with or without PPARγ agonist (rosiglitazone). The effects of PPARγ on cell migration and invasive activity were determined by wound healing assay and Matrigel invasive model in vitro, and in an orthotopic liver tumour metastatic model in mice.Results:Pronounced expression of PPARγ was demonstrated in HCC cells (MHCC97L, BEL-7404) treated with Ad-PPARγ, rosiglitazone or Ad-PPARγ plus rosiglitazone, compared with control (Ad-LacZ). Such induction markedly suppressed HCC cell migration. Moreover, the invasiveness of MHCC97L and BEL-7404 cells infected with Ad-PPARγ, or treated with rosiglitazone was significantly diminished up to 60%. Combination of Ad-PPARγ and rosiglitazone showed an additive effect. Activation of PPARγ by rosiglitazone significantly reduced the incidence and severity of lung metastasis in an orthotopic HCC mouse model. Key mechanisms underlying the effect of PPARγ in HCC include upregulation of cell adhesion genes, E-cadherin and SYK (spleen tyrosine kinase), extracellular matrix regulator tissue inhibitors of metalloproteinase (TIMP) 3, tumour suppressor gene retinoblastoma 1, and downregulation of pro-metastatic genes MMP9 (matrix metallopeptidase 9), MMP13, HPSE (heparanase), and Hepatocyte growth factor (HGF). Direct transcriptional regulation of TIMP3, MMP9, MMP13, and HPSE by PPARγ was shown by ChIP-PCR. Conclusion: Peroxisome proliferator-activated receptor-gamma exerts an inhibitory effect on the invasive and metastatic potential of HCC in vitro and in vivo, and is thus, a target for the prevention and treatment of HCC metastases. © 2012 Cancer Research UK All rights reserved.published_or_final_versio

Dissecting Epigenetic Silencing Complexity in the Mouse Lung Cancer Suppressor Gene Cadm1

Disease-oriented functional analysis of epigenetic factors and their regulatory mechanisms in aberrant silencing is a prerequisite for better diagnostics and therapy. Yet, the precise mechanisms are still unclear and complex, involving the interplay of several effectors including nucleosome positioning, DNA methylation, histone variants and histone modifications. We investigated the epigenetic silencing complexity in the tumor suppressor gene Cadm1 in mouse lung cancer progenitor cell lines, exhibiting promoter hypermethylation associated with transcriptional repression, but mostly unresponsive to demethylating drug treatments. After predicting nucleosome positions and transcription factor binding sites along the Cadm1 promoter, we carried out single-molecule mapping with DNA methyltransferase M.SssI, which revealed in silent promoters high nucleosome occupancy and occlusion of transcription factor binding sites. Furthermore, M.SssI maps of promoters varied within and among the different lung cancer cell lines. Chromatin analysis with micrococcal nuclease also indicated variations in nucleosome positioning to have implications in the binding of transcription factors near nucleosome borders. Chromatin immunoprecipitation showed that histone variants (H2A.Z and H3.3), and opposing histone modification marks (H3K4me3 and H3K27me3) all colocalized in the same nucleosome positions that is reminiscent of epigenetic plasticity in embryonic stem cells. Altogether, epigenetic silencing complexity in the promoter region of Cadm1 is not only defined by DNA hypermethylation, but high nucleosome occupancy, altered nucleosome positioning, and ‘bivalent’ histone modifications, also likely contributed in the transcriptional repression of this gene in the lung cancer cells. Our results will help define therapeutic intervention strategies using epigenetic drugs in lung cancer

Genomic analysis of family data reveals additional genetic effects on intelligence and personality

BioRXiv version. Please see https://rubenarslan.github.io/generation_scotland_pedigree_gcta/ to access this website in a browsable form

Drug target prioritization by perturbed gene expression and network information

Drugs bind to their target proteins, which interact with downstream effectors and ultimately perturb the transcriptome of a cancer cell. These perturbations reveal information about their source, i.e., drugs’ targets. Here, we investigate whether these perturbations and protein interaction networks can uncover drug targets and key pathways. We performed the first systematic analysis of over 500 drugs from the Connectivity Map. First, we show that the gene expression of drug targets is usually not significantly affected by the drug perturbation. Hence, expression changes after drug treatment on their own are not sufficient to identify drug targets. However, ranking of candidate drug targets by network topological measures prioritizes the targets. We introduce a novel measure, local radiality, which combines perturbed genes and functional interaction network information. The new measure outperforms other methods in target prioritization and proposes cancer-specific pathways from drugs to affected genes for the first time. Local radiality identifies more diverse targets with fewer neighbors and possibly less side effects