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1.
Clin Infect Dis ; 68(Suppl 2): S96-S104, 2019 03 07.
Article in English | MEDLINE | ID: mdl-30845324

ABSTRACT

BACKGROUND: Empiric prescribing of antimicrobials in typhoid-endemic settings has increased selective pressure on the development of antimicrobial-resistant Salmonella enterica serovar Typhi. The introduction of typhoid conjugate vaccines (TCVs) in these settings may relieve this selective pressure, thereby reducing resistant infections and improving health outcomes. METHODS: A deterministic transmission dynamic model was developed to simulate the impact of TCVs on the number and proportion of antimicrobial-resistant typhoid infections and chronic carriers. One-way sensitivity analyses were performed to ascertain particularly impactful model parameters influencing the proportion of antimicrobial-resistant infections and the proportion of cases averted over 10 years. RESULTS: The model simulations suggested that increasing vaccination coverage would decrease the total number of antimicrobial-resistant typhoid infections but not affect the proportion of cases that were antimicrobial resistant. In the base-case scenario with 80% vaccination coverage, 35% of all typhoid infections were antimicrobial resistant, and 44% of the total cases were averted over 10 years by vaccination. Vaccination also decreased both the total number and proportion of chronic carriers of antimicrobial-resistant infections. The prevalence of chronic carriers, recovery rates from infection, and relative fitness of resistant strains were identified as crucially important parameters. CONCLUSIONS: Model predictions for the proportion of antimicrobial resistant infections and number of cases averted depended strongly on the relative fitness of the resistant strain(s), prevalence of chronic carriers, and rates of recovery without treatment. Further elucidation of these parameter values in real-world typhoid-endemic settings will improve model predictions and assist in targeting future vaccination campaigns and treatment strategies.


Subject(s)
Anti-Bacterial Agents/pharmacology , Drug Resistance, Multiple, Bacterial , Salmonella typhi/drug effects , Typhoid Fever/microbiology , Typhoid Fever/transmission , Typhoid-Paratyphoid Vaccines/administration & dosage , Carrier State/microbiology , Humans , Microbial Sensitivity Tests , Models, Biological , Predictive Value of Tests , Prevalence , Typhoid Fever/epidemiology , Vaccination Coverage/statistics & numerical data , Vaccines, Conjugate/administration & dosage
2.
Drug Resist Updat ; 30: 28-38, 2017 01.
Article in English | MEDLINE | ID: mdl-28363333

ABSTRACT

Several gene products have been postulated to mediate inherent and/or acquired anticancer drug resistance and tumor metastasis. Among these, the metastasis suppressor and chemo-immuno-sensitizing gene product, Raf Kinase Inhibitor Protein (RKIP), is poorly expressed in many cancers. In contrast, the metastasis inducer and chemo-immuno-resistant factor Yin Yang 1 (YY1) is overexpressed in many cancers. This inverse relationship between RKIP and YY1 expression suggests that these two gene products may be regulated via cross-talks of molecular signaling pathways, culminating in the expression of different phenotypes based on their targets. Analyses of the molecular regulation of the expression patterns of RKIP and YY1 as well as epigenetic, post-transcriptional, and post-translational regulation revealed the existence of several effector mechanisms and crosstalk pathways, of which five pathways of relevance have been identified and analyzed. The five examined cross-talk pathways include the following loops: RKIP/NF-κB/Snail/YY1, p38/MAPK/RKIP/GSK3ß/Snail/YY1, RKIP/Smurf2/YY1/Snail, RKIP/MAPK/Myc/Let-7/HMGA2/Snail/YY1, as well as RKIP/GPCR/STAT3/miR-34/YY1. Each loop is comprised of multiple interactions and cascades that provide evidence for YY1's negative regulation of RKIP expression and vice versa. These loops elucidate potential prognostic motifs and targets for therapeutic intervention. Chiefly, these findings suggest that targeted inhibition of YY1 by specific small molecule inhibitors and/or the specific induction of RKIP expression and activity are potential therapeutic strategies to block tumor growth and metastasis in many cancers, as well as to overcome anticancer drug resistance. These strategies present potential alternatives for their synergistic uses in combination with low doses of conventional chemo-immunotherapeutics and hence, increasing survival, reducing toxicity, and improving quality of life.


Subject(s)
Antineoplastic Agents/pharmacology , Drug Resistance, Neoplasm/physiology , Neoplasms/drug therapy , Phosphatidylethanolamine Binding Protein/biosynthesis , YY1 Transcription Factor/biosynthesis , Apoptosis , Humans , Signal Transduction/physiology , Transcription Factors/metabolism
3.
Crit Rev Oncog ; 22(1-2): 63-73, 2017.
Article in English | MEDLINE | ID: mdl-29604937

ABSTRACT

The transcription factor Yin Yang 1 (YY1) has been reported to be overexpressed in the majority of human cancers and that overexpression has prognostic significance. YY1 regulates several properties associated with cancer cells, including cell survival, cell proliferation, endothelial-mesenchymal transition, metastases, and resistance to both chemotherapeutics and immunotherapeutics. Although the majority of published reports focus on YY1 levels, little has been reported on the expression and activity of YY1 family member Yin Yang 2 (YY2). YY1 and YY2 share more than 50% homologies in DNA and amino acid sequences and share the same C-terminal zinc finger domains involved in DNA binding. This survey of the reported literature revealed that the antibodies used in published immunohistochemistry analyses were not uniquely specific for YY1. Most were likely cross-reactive with YY2. Furthermore, data from the Human Protein Atlas regarding YY1 and YY2 expression in various cancers were generated using antibodies that did not discriminate between YY1 and YY2. This review analyzed the commercially available antibodies listed against YY1 and YY2 and determined their cross-reactivities. A summary is of the published studies on the expression levels of YY1 in human cancers and their potential cross-reactivities with YY2 is also provided. Well-documented monospecific antibodies to both YY1 and YY2 have to be developed and used when examining the expression levels of YY1 and YY2 in human cancers to elucidate the accurate relationship between them and clinical significance of each.


Subject(s)
Epithelial-Mesenchymal Transition/genetics , Neoplasms/genetics , Transcription Factors/genetics , YY1 Transcription Factor/genetics , Cell Proliferation/genetics , Cell Survival/genetics , Gene Expression Regulation, Neoplastic/genetics , Humans , Neoplasm Metastasis , Neoplasms/pathology , Transcription Factors/antagonists & inhibitors , YY1 Transcription Factor/antagonists & inhibitors
4.
J Exp Clin Cancer Res ; 35: 84, 2016 May 25.
Article in English | MEDLINE | ID: mdl-27225481

ABSTRACT

The transcription factor Yin Yang 1 (YY1) is frequently overexpressed in cancerous tissues compared to normal tissues and has regulatory roles in cell proliferation, cell viability, epithelial-mesenchymal transition, metastasis and drug/immune resistance. YY1 shares many properties with cancer stem cells (CSCs) that drive tumorigenesis, metastasis and drug resistance and are regulated by overexpression of certain transcription factors, including SOX2, OCT4 (POU5F1), BMI1 and NANOG. Based on these similarities, it was expected that YY1 expression would be associated with SOX2, OCT4, BMI1, and NANOG's expressions and activities. Data mining from the proteomic tissue-based datasets from the Human Protein Atlas were used for protein expression patterns of YY1 and the four CSC markers in 17 types of cancer, including both solid and hematological malignancies. A close association was revealed between the frequency of expressions of YY1 and SOX2 as well as SOX2 and OCT4 in all cancers analyzed. Two types of dynamics were identified based on the nature of their association, namely, inverse or direct, between YY1 and SOX2. These two dynamics define distinctive patterns of BMI1 and OCT4 expressions. The relationship between YY1 and SOX2 expressions as well as the expressions of BMI1 and OCT4 resulted in the classification of four groups of cancers with distinct molecular signatures: (1) Prostate, lung, cervical, endometrial, ovarian and glioma cancers (YY1(lo)SOX2(hi)BMI1(hi)OCT4(hi)) (2) Skin, testis and breast cancers (YY1(hi)SOX2(lo)BMI1(hi)OCT4(hi)) (3) Liver, stomach, renal, pancreatic and urothelial cancers (YY1(lo)SOX2(lo)BMI1(hi)OCT4(hi)) and (4) Colorectal cancer, lymphoma and melanoma (YY1(hi)SOX2(hi)BMI1(lo)OCT4(hi)). A regulatory loop is proposed consisting of the cross-talk between the NF-kB/PI3K/AKT pathways and the downstream inter-regulation of target gene products YY1, OCT4, SOX2 and BMI1.


Subject(s)
Neoplastic Stem Cells/metabolism , Octamer Transcription Factor-3/metabolism , Polycomb Repressive Complex 1/metabolism , SOXB1 Transcription Factors/metabolism , YY1 Transcription Factor/metabolism , Animals , Data Mining , Gene Expression Regulation, Neoplastic , Humans , Neoplasms/metabolism , Proteomics/methods , Signal Transduction
5.
Pharmacol Ther ; 150: 149-68, 2015 Jun.
Article in English | MEDLINE | ID: mdl-25619146

ABSTRACT

Conventional therapeutic treatments for various cancers include chemotherapy, radiotherapy, hormonal therapy and immunotherapy. While such therapies have resulted in clinical responses, they were coupled with non-tumor specificity, toxicity and resistance in a large subset of the treated patients. During the last decade, novel approaches based on scientific knowledge on the biology of cancer were exploited and led to the development of novel targeted therapies, such as specific chemical inhibitors and immune-based therapies. Although these targeted therapies resulted in better responses and less toxicity, there still remains the problem of the inherent or acquired resistance. Hence, current studies are seeking additional novel therapeutic targets that can overcome several mechanisms of resistance. The transcription factor Yin Yang 1 (YY1) is a ubiquitous protein expressed in normal and cancer tissues, though the expression level is much higher in a large number of cancers; hence, YY1 has been considered as a potential novel prognostic biomarker and therapeutic target. YY1 has been reported to be involved in the regulation of drug/immune resistance and also in the regulation of EMT. Several excellent reviews have been published on YY1 and cancer (see below), and, thus, this review will update recently published reports as well as report on the analysis of bioinformatics datasets for YY1 in various cancers and the relationship between reported protein expression and mRNA levels. The potential clinical significance of YY1 is discussed.


Subject(s)
Neoplasms/metabolism , RNA, Messenger/metabolism , YY1 Transcription Factor/metabolism , Animals , Autophagy , Computational Biology , Drug Resistance, Neoplasm , Epithelial-Mesenchymal Transition , Gene Expression , Humans , Inhibitor of Apoptosis Proteins/genetics , Molecular Targeted Therapy , Neoplasms/drug therapy , Neoplasms/pathology , Survivin , Transcription, Genetic , YY1 Transcription Factor/genetics
6.
J Exp Clin Cancer Res ; 33: 62, 2014 Aug 02.
Article in English | MEDLINE | ID: mdl-25084828

ABSTRACT

Snail1 is the founding member of the Snail superfamily of zinc-finger transcription factors, which also includes Snail2 (Slug) and Snail3 (Smuc). The superfamily is involved in cell differentiation and survival, two processes central in cancer research. Encoded by the SNAI1 gene located on human chromosome 20q13.2, Snail1 is composed of 264 amino acids and usually acts as a transcriptional repressor. Phosphorylation and nuclear localization of Snail1, governed by PI3K and Wnt signaling pathways crosstalk, are critical in Snail1's regulation. Snail1 has a pivotal role in the regulation of epithelial-mesenchymal transition (EMT), the process by which epithelial cells acquire a migratory, mesenchymal phenotype, as a result of its repression of E-cadherin. Snail1-induced EMT involves the loss of E-cadherin and claudins with concomitant upregulation of vimentin and fibronectin, among other biomarkers. While essential to normal developmental processes such as gastrulation, EMT is associated with metastasis, the cancer stem cell phenotype, and the regulation of chemo and immune resistance in cancer. Snail1 expression is a common sign of poor prognosis in metastatic cancer, and tumors with elevated Snail1 expression are disproportionately difficult to eradicate by current therapeutic treatments. The significance of Snail1 as a prognostic indicator, its involvement in the regulation of EMT and metastasis, and its roles in both drug and immune resistance point out that Snail1 is an attractive target for tumor growth inhibition and a target for sensitization to cytotoxic drugs.


Subject(s)
Neoplasms/genetics , Transcription Factors/metabolism , Amino Acid Sequence , Animals , Epithelial-Mesenchymal Transition , Humans , Molecular Sequence Data , Neoplasms/metabolism , Sequence Homology, Amino Acid , Snail Family Transcription Factors , Transcription Factors/genetics
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