CEBPD Potentiates the Macrophage Inflammatory Response but CEBPD
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REVIEW Signal Transduction, Cell Cycle Regulatory, and Anti
Leukemia (1999) 13, 1109–1166 1999 Stockton Press All rights reserved 0887-6924/99 $12.00 http://www.stockton-press.co.uk/leu REVIEW Signal transduction, cell cycle regulatory, and anti-apoptotic pathways regulated by IL-3 in hematopoietic cells: possible sites for intervention with anti-neoplastic drugs WL Blalock1, C Weinstein-Oppenheimer1,2, F Chang1, PE Hoyle1, X-Y Wang3, PA Algate4, RA Franklin1,5, SM Oberhaus1,5, LS Steelman1 and JA McCubrey1,5 1Department of Microbiology and Immunology, 5Leo Jenkins Cancer Center, East Carolina University School of Medicine Greenville, NC, USA; 2Escuela de Quı´mica y Farmacia, Facultad de Medicina, Universidad de Valparaiso, Valparaiso, Chile; 3Department of Laboratory Medicine and Pathology, Mayo Clinic and Foundation, Rochester, MN, USA; and 4Division of Basic Sciences, Fred Hutchinson Cancer Research Center, Seattle, WA, USA Over the past decade, there has been an exponential increase growth factor), Flt-L (the ligand for the flt2/3 receptor), erythro- in our knowledge of how cytokines regulate signal transduc- poietin (EPO), and others affect the growth and differentiation tion, cell cycle progression, differentiation and apoptosis. Research has focused on different biochemical and genetic of these early hematopoietic precursor cells into cells of the 1–4 aspects of these processes. Initially, cytokines were identified myeloid, lymphoid and erythroid lineages (Table 1). This by clonogenic assays and purified by biochemical techniques. review will concentrate on IL-3 since much of the knowledge This soon led to the molecular cloning of the genes encoding of how cytokines affect cell growth, signal transduction, and the cytokines and their cognate receptors. -
The Activator Protein-1 Transcription Factor in Respiratory Epithelium Carcinogenesis
Subject Review The Activator Protein-1 Transcription Factor in Respiratory Epithelium Carcinogenesis Michalis V. Karamouzis,1 Panagiotis A. Konstantinopoulos,1,2 and Athanasios G. Papavassiliou1 1Department of Biological Chemistry, Medical School, University of Athens, Athens, Greece and 2Division of Hematology-Oncology, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, Massachusetts Abstract Much of the current anticancer research effort is focused on Respiratory epithelium cancers are the leading cause cell-surface receptors and their cognate upstream molecules of cancer-related death worldwide. The multistep natural because they provide the easiest route for drugs to affect history of carcinogenesis can be considered as a cellular behavior, whereas agents acting at the level of gradual accumulation of genetic and epigenetic transcription need to invade the nucleus. However, the aberrations, resulting in the deregulation of cellular therapeutic effect of surface receptor manipulation might be homeostasis. Growing evidence suggests that cross- considered less than specific because their actions are talk between membrane and nuclear receptor signaling modulated by complex interacting downstream signal trans- pathways along with the activator protein-1 (AP-1) duction pathways. A pivotal transcription factor during cascade and its cofactor network represent a pivotal respiratory epithelium carcinogenesis is activator protein-1 molecular circuitry participating directly or indirectly in (AP-1). AP-1–regulated genes include important modulators of respiratory epithelium carcinogenesis. The crucial role invasion and metastasis, proliferation, differentiation, and of AP-1 transcription factor renders it an appealing survival as well as genes associated with hypoxia and target of future nuclear-directed anticancer therapeutic angiogenesis (7). Nuclear-directed therapeutic strategies might and chemoprevention approaches. -
Signal Transduction and the Ets Family of Transcription Factors
Oncogene (2000) 19, 6503 ± 6513 ã 2000 Macmillan Publishers Ltd All rights reserved 0950 ± 9232/00 $15.00 www.nature.com/onc Signal transduction and the Ets family of transcription factors John S Yordy1 and Robin C Muise-Helmericks*,1,2 1Center for Molecular and Structural Biology, Hollings Cancer Center, Medical University of South Carolina, Charleston, South Carolina, SC 29403, USA; 2Department of Cell Biology and Anatomy, Medical University of South Carolina, Charleston, South Carolina, SC 29403, USA Cellular responses to environmental stimuli are con- expression required for cellular growth, dierentiation trolled by a series of signaling cascades that transduce and survival. One group of downstream eectors of extracellular signals from ligand-activated cell surface these signaling pathways is the Ets family of transcrip- receptors to the nucleus. Although most pathways were tion factors. Ets family members can also be initially thought to be linear, it has become apparent that considered upstream eectors of signal transduction there is a dynamic interplay between signaling pathways pathways controlling the expression of a number of that result in the complex pattern of cell-type speci®c signaling components including both receptor tyrosine responses required for proliferation, dierentiation and kinases and intermediate signaling molecules. survival. One group of nuclear eectors of these The Ets family of transcription factors is de®ned by signaling pathways are the Ets family of transcription a conserved winged helix ± turn ± helix DNA binding factors, directing cytoplasmic signals to the control of domain (Papas et al., 1989; Wasylyk et al., 1993; gene expression. This family is de®ned by a highly Werner et al., 1995). -
Quantitative Analysis of NF-B Transactivation Specificity Using A
Quantitative Analysis of NF-#B Transactivation Specificity Using a Yeast-Based Functional Assay The MIT Faculty has made this article openly available. Please share how this access benefits you. Your story matters. Citation Sharma, Vasundhara, Jennifer J. Jordan, Yari Ciribilli, Michael A. Resnick, Alessandra Bisio, and Alberto Inga. “Quantitative Analysis of NF-κB Transactivation Specificity Using a Yeast-Based Functional Assay.” Edited by Sue Cotterill. PLOS ONE 10, no. 7 (July 6, 2015): e0130170. As Published http://dx.doi.org/10.1371/journal.pone.0130170 Publisher Public Library of Science Version Final published version Citable link http://hdl.handle.net/1721.1/99881 Terms of Use Creative Commons Attribution Detailed Terms http://creativecommons.org/licenses/by/4.0/ RESEARCH ARTICLE Quantitative Analysis of NF-κB Transactivation Specificity Using a Yeast- Based Functional Assay Vasundhara Sharma1, Jennifer J. Jordan1¤, Yari Ciribilli1, Michael A. Resnick2, Alessandra Bisio1‡*, Alberto Inga1‡* 1 Laboratory of Transcriptional Networks, Centre for Integrative Biology (CIBIO), University of Trento, Trento, Italy, 2 Chromosome Stability Group; National Institute of Environmental Health Sciences, Research Triangle Park, North Carolina, United States of America a11111 ¤ Current address: Department of Biological Engineering, MIT, Boston, MA, USA ‡ These authors are co-last authors on this work. * [email protected] (AB); [email protected] (AI) Abstract κ OPEN ACCESS The NF- B transcription factor family plays a central role in innate immunity and inflamma- tion processes and is frequently dysregulated in cancer. We developed an NF-κB functional Citation: Sharma V, Jordan JJ, Ciribilli Y, Resnick κ MA, Bisio A, Inga A (2015) Quantitative Analysis of assay in yeast to investigate the following issues: transactivation specificity of NF- B pro- NF-κB Transactivation Specificity Using a Yeast- teins acting as homodimers or heterodimers; correlation between transactivation capacity Based Functional Assay. -
1714 Gene Comprehensive Cancer Panel Enriched for Clinically Actionable Genes with Additional Biologically Relevant Genes 400-500X Average Coverage on Tumor
xO GENE PANEL 1714 gene comprehensive cancer panel enriched for clinically actionable genes with additional biologically relevant genes 400-500x average coverage on tumor Genes A-C Genes D-F Genes G-I Genes J-L AATK ATAD2B BTG1 CDH7 CREM DACH1 EPHA1 FES G6PC3 HGF IL18RAP JADE1 LMO1 ABCA1 ATF1 BTG2 CDK1 CRHR1 DACH2 EPHA2 FEV G6PD HIF1A IL1R1 JAK1 LMO2 ABCB1 ATM BTG3 CDK10 CRK DAXX EPHA3 FGF1 GAB1 HIF1AN IL1R2 JAK2 LMO7 ABCB11 ATR BTK CDK11A CRKL DBH EPHA4 FGF10 GAB2 HIST1H1E IL1RAP JAK3 LMTK2 ABCB4 ATRX BTRC CDK11B CRLF2 DCC EPHA5 FGF11 GABPA HIST1H3B IL20RA JARID2 LMTK3 ABCC1 AURKA BUB1 CDK12 CRTC1 DCUN1D1 EPHA6 FGF12 GALNT12 HIST1H4E IL20RB JAZF1 LPHN2 ABCC2 AURKB BUB1B CDK13 CRTC2 DCUN1D2 EPHA7 FGF13 GATA1 HLA-A IL21R JMJD1C LPHN3 ABCG1 AURKC BUB3 CDK14 CRTC3 DDB2 EPHA8 FGF14 GATA2 HLA-B IL22RA1 JMJD4 LPP ABCG2 AXIN1 C11orf30 CDK15 CSF1 DDIT3 EPHB1 FGF16 GATA3 HLF IL22RA2 JMJD6 LRP1B ABI1 AXIN2 CACNA1C CDK16 CSF1R DDR1 EPHB2 FGF17 GATA5 HLTF IL23R JMJD7 LRP5 ABL1 AXL CACNA1S CDK17 CSF2RA DDR2 EPHB3 FGF18 GATA6 HMGA1 IL2RA JMJD8 LRP6 ABL2 B2M CACNB2 CDK18 CSF2RB DDX3X EPHB4 FGF19 GDNF HMGA2 IL2RB JUN LRRK2 ACE BABAM1 CADM2 CDK19 CSF3R DDX5 EPHB6 FGF2 GFI1 HMGCR IL2RG JUNB LSM1 ACSL6 BACH1 CALR CDK2 CSK DDX6 EPOR FGF20 GFI1B HNF1A IL3 JUND LTK ACTA2 BACH2 CAMTA1 CDK20 CSNK1D DEK ERBB2 FGF21 GFRA4 HNF1B IL3RA JUP LYL1 ACTC1 BAG4 CAPRIN2 CDK3 CSNK1E DHFR ERBB3 FGF22 GGCX HNRNPA3 IL4R KAT2A LYN ACVR1 BAI3 CARD10 CDK4 CTCF DHH ERBB4 FGF23 GHR HOXA10 IL5RA KAT2B LZTR1 ACVR1B BAP1 CARD11 CDK5 CTCFL DIAPH1 ERCC1 FGF3 GID4 HOXA11 IL6R KAT5 ACVR2A -
Open Chromatin Profiling in Adipose Tissue Marks Genomic Regions with Functional Roles in Cardiometabolic Traits
INVESTIGATION Open Chromatin Profiling in Adipose Tissue Marks Genomic Regions with Functional Roles in Cardiometabolic Traits Maren E. Cannon,*,1 Kevin W. Currin,*,1 Kristin L. Young,† Hannah J. Perrin,* Swarooparani Vadlamudi,* Alexias Safi,‡ Lingyun Song,‡ Ying Wu,* Martin Wabitsch,§ Markku Laakso,** Gregory E. Crawford,‡ and Karen L. Mohlke*,2 *Department of Genetics, †Department of Epidemiology, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, ‡Department of Pediatrics, Division of Medical Genetics and Center for Genomic and Computational Biology, § Duke University, NC 27710, Department of Pediatrics and Adolescents Medicine, Division of Pediatric Endocrinology and Diabetes, University of Ulm, Germany 89081, and **Department of Medicine, University of Eastern Finland and Kuopio University Hospital, Kuopio, Finland 70210 ORCID ID: 0000-0001-6721-153X (K.L.M.) ABSTRACT Identifying the regulatory mechanisms of genome-wide association study (GWAS) loci KEYWORDS affecting adipose tissue has been restricted due to limited characterization of adipose transcriptional chromatin regulatory elements. We profiled chromatin accessibility in three frozen human subcutaneous adipose accessibility tissue needle biopsies and preadipocytes and adipocytes from the Simpson Golabi-Behmel Syndrome adipose tissue (SGBS) cell strain using an assay for transposase-accessible chromatin (ATAC-seq). We identified preadipocytes 68,571 representative accessible chromatin regions (peaks) across adipose tissue samples (FDR , 5%). GWAS GWAS loci for eight cardiometabolic traits were enriched in these peaks (P , 0.005), with the strongest cardiometabolic enrichment for waist-hip ratio. Of 110 recently described cardiometabolic GWAS loci colocalized with trait adiposetissueeQTLs,59locihadoneormorevariantsoverlappinganadiposetissuepeak.Annotated variants at the SNX10 waist-hip ratio locus and the ATP2A1-SH2B1 body mass index locus showed allelic differences in regulatory assays. -
ETS1, Nfkb and AP1 Synergistically Transactivate the Human GM ± CSF Promoter
Oncogene (1997) 14, 2845 ± 2855 1997 Stockton Press All rights reserved 0950 ± 9232/97 $12.00 ETS1, NFkB and AP1 synergistically transactivate the human GM ± CSF promoter Ross S Thomas1, Martin J Tymms1, Leigh H McKinlay1, M Frances Shannon2, Arun Seth3 and Ismarl Kola1 1Molecular Genetics and Development Group, Institute of Reproduction and Development, Monash University, Melbourne 3168, Australia; 2Division of Human Immunology, Hanson Centre for Cancer Research, Institute of Medical and Veterinary Science, Adelaide 5000, Australia; 3Department of Pathology, University of Toronto/Women's College Hospital, Toronto, Ontario, Canada Activation of helper T cells results in coordinate Activating signals ultimately result in cellular prolifera- expression of a number of cytokines involved in tion, and transcriptional induction and secretion of a dierentiation, proliferation and activation of the number of cytokines including IL-2 (interleukin-2), IL-3, haematopoietic system. Granulocyte-macrophage colony IFNg (interferon-gamma) and GM ± CSF (granulocyte- stimulating factor (GM ± CSF) is one such cytokine, macrophage colony-stimulating factor) (Stanley et al., whose increased expression results mostly from increases 1985; Miyajima et al., 1988; Arai et al., 1990). These in transcription. Cis-acting elements with NFkB, AP1 cytokines direct the eector functions of various cell and ETS-like binding motifs have been identi®ed in the types involved in an immune response, including B cells, promoter region of the GM ± CSF gene, and are macrophages, mast cells, eosinophils and neutrophils. important or essential for transcriptional activity follow- GM ± CSF expression in activated T cells is ing T cell activation. ETS1 is a transcription factor of regulated by two mechanisms. -
Transcription Factor Gene Expression Profiling and Analysis of SOX Gene Family Transcription Factors in Human Limbal Epithelial
Transcription factor gene expression profiling and analysis of SOX gene family transcription factors in human limbal epithelial progenitor cells Der Naturwissenschaftlichen Fakultät der Friedrich-Alexander-Universität Erlangen-Nürnberg zur Erlangung des Doktorgrades Dr. rer. nat. vorgelegt von Dr. med. Johannes Menzel-Severing aus Bonn Als Dissertation genehmigt von der Naturwissenschaftlichen Fakultät der Friedrich-Alexander-Universität Erlangen-Nürnberg Tag der mündlichen Prüfung: 7. Februar 2018 Vorsitzender des Promotionsorgans: Prof. Dr. Georg Kreimer Gutachter: Prof. Dr. Andreas Feigenspan Prof. Dr. Ursula Schlötzer-Schrehardt 1 INDEX 1. ABSTRACTS Page 1.1. Abstract in English 4 1.2. Zusammenfassung auf Deutsch 7 2. INTRODUCTION 2.1. Anatomy and histology of the cornea and the corneal surface 11 2.2. Homeostasis of corneal epithelium and the limbal stem cell paradigm 13 2.3. The limbal stem cell niche 15 2.4. Cell therapeutic strategies in ocular surface disease 17 2.5. Alternative cell sources for transplantation to the corneal surface 18 2.6. Transcription factors in cell differentiation and reprogramming 21 2.7. Transcription factors in limbal epithelial cells 22 2.8. Research question 25 3. MATERIALS AND METHODS 3.1. Human donor corneas 27 3.2. Laser Capture Microdissection (LCM) 28 3.3. RNA amplification and RT2 profiler PCR arrays 29 3.4. Real-time PCR analysis 33 3.5. Immunohistochemistry 34 3.6. Limbal epithelial cell culture 38 3.7. Transcription-factor knockdown/overexpression in vitro 39 3.8. Proliferation assay 40 3.9. Western blot 40 3.10. Statistical analysis 41 2 4. RESULTS 4.1. Quality control of LCM-isolated and amplified RNA 42 4.2. -
Xo GENE PANEL
xO GENE PANEL Targeted panel of 1714 genes | Tumor DNA Coverage: 500x | RNA reads: 50 million Onco-seq panel includes clinically relevant genes and a wide array of biologically relevant genes Genes A-C Genes D-F Genes G-I Genes J-L AATK ATAD2B BTG1 CDH7 CREM DACH1 EPHA1 FES G6PC3 HGF IL18RAP JADE1 LMO1 ABCA1 ATF1 BTG2 CDK1 CRHR1 DACH2 EPHA2 FEV G6PD HIF1A IL1R1 JAK1 LMO2 ABCB1 ATM BTG3 CDK10 CRK DAXX EPHA3 FGF1 GAB1 HIF1AN IL1R2 JAK2 LMO7 ABCB11 ATR BTK CDK11A CRKL DBH EPHA4 FGF10 GAB2 HIST1H1E IL1RAP JAK3 LMTK2 ABCB4 ATRX BTRC CDK11B CRLF2 DCC EPHA5 FGF11 GABPA HIST1H3B IL20RA JARID2 LMTK3 ABCC1 AURKA BUB1 CDK12 CRTC1 DCUN1D1 EPHA6 FGF12 GALNT12 HIST1H4E IL20RB JAZF1 LPHN2 ABCC2 AURKB BUB1B CDK13 CRTC2 DCUN1D2 EPHA7 FGF13 GATA1 HLA-A IL21R JMJD1C LPHN3 ABCG1 AURKC BUB3 CDK14 CRTC3 DDB2 EPHA8 FGF14 GATA2 HLA-B IL22RA1 JMJD4 LPP ABCG2 AXIN1 C11orf30 CDK15 CSF1 DDIT3 EPHB1 FGF16 GATA3 HLF IL22RA2 JMJD6 LRP1B ABI1 AXIN2 CACNA1C CDK16 CSF1R DDR1 EPHB2 FGF17 GATA5 HLTF IL23R JMJD7 LRP5 ABL1 AXL CACNA1S CDK17 CSF2RA DDR2 EPHB3 FGF18 GATA6 HMGA1 IL2RA JMJD8 LRP6 ABL2 B2M CACNB2 CDK18 CSF2RB DDX3X EPHB4 FGF19 GDNF HMGA2 IL2RB JUN LRRK2 ACE BABAM1 CADM2 CDK19 CSF3R DDX5 EPHB6 FGF2 GFI1 HMGCR IL2RG JUNB LSM1 ACSL6 BACH1 CALR CDK2 CSK DDX6 EPOR FGF20 GFI1B HNF1A IL3 JUND LTK ACTA2 BACH2 CAMTA1 CDK20 CSNK1D DEK ERBB2 FGF21 GFRA4 HNF1B IL3RA JUP LYL1 ACTC1 BAG4 CAPRIN2 CDK3 CSNK1E DHFR ERBB3 FGF22 GGCX HNRNPA3 IL4R KAT2A LYN ACVR1 BAI3 CARD10 CDK4 CTCF DHH ERBB4 FGF23 GHR HOXA10 IL5RA KAT2B LZTR1 ACVR1B BAP1 CARD11 CDK5 CTCFL DIAPH1 ERCC1 FGF3 GID4 -
In Vitro Targeting of Transcription Factors to Control the Cytokine Release Syndrome in 2 COVID-19 3
bioRxiv preprint doi: https://doi.org/10.1101/2020.12.29.424728; this version posted December 30, 2020. The copyright holder for this preprint (which was not certified by peer review) is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under aCC-BY-NC 4.0 International license. 1 In vitro Targeting of Transcription Factors to Control the Cytokine Release Syndrome in 2 COVID-19 3 4 Clarissa S. Santoso1, Zhaorong Li2, Jaice T. Rottenberg1, Xing Liu1, Vivian X. Shen1, Juan I. 5 Fuxman Bass1,2 6 7 1Department of Biology, Boston University, Boston, MA 02215, USA; 2Bioinformatics Program, 8 Boston University, Boston, MA 02215, USA 9 10 Corresponding author: 11 Juan I. Fuxman Bass 12 Boston University 13 5 Cummington Mall 14 Boston, MA 02215 15 Email: [email protected] 16 Phone: 617-353-2448 17 18 Classification: Biological Sciences 19 20 Keywords: COVID-19, cytokine release syndrome, cytokine storm, drug repurposing, 21 transcriptional regulators 1 bioRxiv preprint doi: https://doi.org/10.1101/2020.12.29.424728; this version posted December 30, 2020. The copyright holder for this preprint (which was not certified by peer review) is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under aCC-BY-NC 4.0 International license. 22 Abstract 23 Treatment of the cytokine release syndrome (CRS) has become an important part of rescuing 24 hospitalized COVID-19 patients. Here, we systematically explored the transcriptional regulators 25 of inflammatory cytokines involved in the COVID-19 CRS to identify candidate transcription 26 factors (TFs) for therapeutic targeting using approved drugs. -
Gene Regulatory Networks Underlying Human Microglia Maturation 2 3 Claudia Z
bioRxiv preprint doi: https://doi.org/10.1101/2021.06.02.446636; this version posted June 2, 2021. The copyright holder for this preprint (which was not certified by peer review) is the author/funder. All rights reserved. No reuse allowed without permission. 1 Gene regulatory networks underlying human microglia maturation 2 3 Claudia Z. Han1*, Rick Z. Li1*, Emily Hansen2,3, Hunter R. Bennett1 , Olivier Poirion4, Justin 4 Buchanan1,4, Jean F. Challacombe1, Bethany R. Fixsen1, Samantha Trescott2,3, Johannes C.M. 5 Schlachetzki1, Sebastian Preissl1,4, Allen Wang1,4, Carolyn O’Connor5, Anna S. Warden1,2,3, 6 Shreya Shriram2,3 , Roy Kim2,3, Celina T. Nguyen1,2,3, Danielle M. Schafer2,3, Gabriela Ramirez2,3, 7 Samuel A. Anavim2,3, Avalon Johnson2,3, Eniko Sajti2, Mihir Gupta6, Michael L. Levy6, Sharona 8 Ben-Haim6, David D. Gonda6, Louise Laurent7, Christopher K. Glass1, Nicole G. Coufal2,3,5 9 10 1 Department of Cellular and Molecular Medicine, University of California, San Diego, La Jolla, 11 CA 92093, USA. 12 2 Department of Pediatrics, University of California, San Diego, La Jolla, CA 92093 13 3 Sanford Consortium for Regenerative Medicine 14 4 Center for Epigenomics, University of California, San Diego, La Jolla, CA 92093 15 5 Salk Institute for Biological Studies, La Jolla, CA 92037 16 6 Department of Neurosurgery, University of California, San Diego-Rady Children's Hospital, San 17 Diego, CA 92123, USA 18 7 Department of Obstetrics, Gynecology, and Reproductive Sciences, University of California, 19 San Diego, CA 92123 20 *These authors contributed equally to this work. -
The Multifaced Role of STAT3 in Cancer and Its Implication for Anticancer Therapy
International Journal of Molecular Sciences Review The Multifaced Role of STAT3 in Cancer and Its Implication for Anticancer Therapy Manlio Tolomeo * and Antonio Cascio Department of Health Promotion Sciences, Maternal and Infant Care, Internal Medicine and Medical Specialties, University of Palermo, via del Vespro 129, 90127 Palermo, Italy; [email protected] * Correspondence: [email protected] Abstract: Signal transducer and activator of transcription (STAT) 3 is one of the most complex regulators of transcription. Constitutive activation of STAT3 has been reported in many types of tumors and depends on mechanisms such as hyperactivation of receptors for pro-oncogenic cytokines and growth factors, loss of negative regulation, and excessive cytokine stimulation. In contrast, somatic STAT3 mutations are less frequent in cancer. Several oncogenic targets of STAT3 have been recently identified such as c-myc, c-Jun, PLK-1, Pim1/2, Bcl-2, VEGF, bFGF, and Cten, and inhibitors of STAT3 have been developed for cancer prevention and treatment. However, despite the oncogenic role of STAT3 having been widely demonstrated, an increasing amount of data indicate that STAT3 functions are multifaced and not easy to classify. In fact, the specific cellular role of STAT3 seems to be determined by the integration of multiple signals, by the oncogenic environment, and by the alternative splicing into two distinct isoforms, STAT3α and STAT3β. On the basis of these different conditions, STAT3 can act both as a potent tumor promoter or tumor suppressor factor. This implies that the therapies based on STAT3 modulators should be performed considering the pleiotropic functions of this transcription factor and tailored to the specific tumor type.