Pulmonary arterial hypertension (PAH) is a chronic debilitating cardiopulmonary disease characterized by abnormal remodeling of peripheral lung vasculature resulting in progressive vasoconstriction. Idiopathic pulmonary fibrosis (IPF) is a chronic, progressive, and irreversible disease that is often associated with significant morbidity and poor quality of life. The prognosis of PAH and IPF is poor and currently available medications focus on relieving symptoms and slowing down progression. Hence, there is a clear necessity to develop new therapies. ETS-related genes and Friend leukemia integration–1 (FLI–1) are transcription factors involved in angiogenesis, cellular homeostasis, vascular remodeling, and the genetic regulation of inflammation, apoptosis, and fibrosis seen in PAH and IPF. Simultaneous small-interfering-RNA (siRNA) knockdown of ERG and FLI1 in human pulmonary artery endothelial cells (HPAEC) and human pulmonary microvasculature endothelial cells (HPMEC) has been associated with up-regulation of pro-inflammatory genes and interferon (IFN) pathway-related genes. Notably, the endothelium in normal lungs has also been shown to have high levels of nuclear ERG and Fli-1 compared to significantly lower levels in diseased lungs. Recently, ERG upregulation was found to promote liver homoeostasis by regulating canonical TGFβ1SMAD signaling and promoting the SMAD1 pathway while repressing SMAD3 activity. Improvement in pulmonary fibrosis through medications that suppress the TGF-β1/Smad3 pathway has also been a subject of study. In this review, we hypothesize that targeting the regulation of ERG, FLI-1 and ERG-mediation of TGF-β1/Smad3 signaling may be a promising therapeutic strategy in PAH and IPF. Keyword: Pulmonary Diseases, ETS genes, Signaling pathways, Targeted therapy, small molecules, Smad3 inhibitors, ERG/Fli-1 inducers.
{"title":"ETS-Related Gene (ERG) and Friend leukemia integration – 1 (FLI-1) Transcription Factors in the Precision Treatment of Pulmonary Arterial Hypertension and Pulmonary Fibrosis","authors":"E. Reddy","doi":"10.24218/JCET.2019.21","DOIUrl":"https://doi.org/10.24218/JCET.2019.21","url":null,"abstract":"Pulmonary arterial hypertension (PAH) is a chronic debilitating cardiopulmonary disease characterized by abnormal remodeling of peripheral lung vasculature resulting in progressive vasoconstriction. Idiopathic pulmonary fibrosis (IPF) is a chronic, progressive, and irreversible disease that is often associated with significant morbidity and poor quality of life. The prognosis of PAH and IPF is poor and currently available medications focus on relieving symptoms and slowing down progression. Hence, there is a clear necessity to develop new therapies. ETS-related genes and Friend leukemia integration–1 (FLI–1) are transcription factors involved in angiogenesis, cellular homeostasis, vascular remodeling, and the genetic regulation of inflammation, apoptosis, and fibrosis seen in PAH and IPF. Simultaneous small-interfering-RNA (siRNA) knockdown of ERG and FLI1 in human pulmonary artery endothelial cells (HPAEC) and human pulmonary microvasculature endothelial cells (HPMEC) has been associated with up-regulation of pro-inflammatory genes and interferon (IFN) pathway-related genes. Notably, the endothelium in normal lungs has also been shown to have high levels of nuclear ERG and Fli-1 compared to significantly lower levels in diseased lungs. Recently, ERG upregulation was found to promote liver homoeostasis by regulating canonical TGFβ1SMAD signaling and promoting the SMAD1 pathway while repressing SMAD3 activity. Improvement in pulmonary fibrosis through medications that suppress the TGF-β1/Smad3 pathway has also been a subject of study. In this review, we hypothesize that targeting the regulation of ERG, FLI-1 and ERG-mediation of TGF-β1/Smad3 signaling may be a promising therapeutic strategy in PAH and IPF. Keyword: Pulmonary Diseases, ETS genes, Signaling pathways, Targeted therapy, small molecules, Smad3 inhibitors, ERG/Fli-1 inducers.","PeriodicalId":91106,"journal":{"name":"Journal of cancer epidemiology & treatment","volume":"1 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2019-06-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43255712","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
C. Lokko, J. Turner, Wonsuk Yoo, D. Wood, Kyra P Clark, E. Childs, V. Rao, E. Reddy, C. Clark
Background The incidence of anal carcinoma has increased over the last few decades especially in African Americans (AA) despite the use of highly active anti-retroviral therapy (HAART). Here, we retrospectively review oncologic outcomes of AA patients with anal squamous cell carcinoma (SCC) with and without HIV to further examine the cause of this trend. Materials and Methods All adult AA patients diagnosed with anal SCC from 2000 to 2007 who met inclusion were examined. All patients were staged according to the American Joint Committee on Carcinoma (AJCC) sixth edition staging classification. Patients were divided into two cohorts: HIV (−) and HIV (+). Demographics, comorbidities, and oncologic outcomes were analyzed. Results Twenty-two AA patients with anal SCC were analyzed. Fifteen (68.%) were HIV (+) and seven (32%) were negative. Seventy-four percent of HIV (+) patients were on HAART therapy at the time of diagnosis. The HIV (+) cohort was significantly younger, mostly male, and had more comorbidities compared to the negative cohort. There was no difference in tumor, nodal or metastasis (TNM) stage for both cohorts. HIV (+) patients were more likely to receive non-operative therapy. The 5-year survival rate for HIV negative and positive patients was 57% and 58%, respectively. AJCC stage was the only factor predictive of survival after performing Cox hazard proportional regression analysis, HR: 1.96 (95% CI, 0.987 to 3.881). Conclusions In the HAART era, HIV (+) AA patients are at high risk of developing anal SCC. However, the prognosis of HIV (+) AA with anal SSC is similar to that of their HIV (−) counterparts. Carcinoma stage is the only factor predictive of survival.
{"title":"Anal Squamous Cell Carcinoma in African Americans with and without HIV: A Comparative Study","authors":"C. Lokko, J. Turner, Wonsuk Yoo, D. Wood, Kyra P Clark, E. Childs, V. Rao, E. Reddy, C. Clark","doi":"10.24218/JCET.2015.04","DOIUrl":"https://doi.org/10.24218/JCET.2015.04","url":null,"abstract":"Background The incidence of anal carcinoma has increased over the last few decades especially in African Americans (AA) despite the use of highly active anti-retroviral therapy (HAART). Here, we retrospectively review oncologic outcomes of AA patients with anal squamous cell carcinoma (SCC) with and without HIV to further examine the cause of this trend. Materials and Methods All adult AA patients diagnosed with anal SCC from 2000 to 2007 who met inclusion were examined. All patients were staged according to the American Joint Committee on Carcinoma (AJCC) sixth edition staging classification. Patients were divided into two cohorts: HIV (−) and HIV (+). Demographics, comorbidities, and oncologic outcomes were analyzed. Results Twenty-two AA patients with anal SCC were analyzed. Fifteen (68.%) were HIV (+) and seven (32%) were negative. Seventy-four percent of HIV (+) patients were on HAART therapy at the time of diagnosis. The HIV (+) cohort was significantly younger, mostly male, and had more comorbidities compared to the negative cohort. There was no difference in tumor, nodal or metastasis (TNM) stage for both cohorts. HIV (+) patients were more likely to receive non-operative therapy. The 5-year survival rate for HIV negative and positive patients was 57% and 58%, respectively. AJCC stage was the only factor predictive of survival after performing Cox hazard proportional regression analysis, HR: 1.96 (95% CI, 0.987 to 3.881). Conclusions In the HAART era, HIV (+) AA patients are at high risk of developing anal SCC. However, the prognosis of HIV (+) AA with anal SSC is similar to that of their HIV (−) counterparts. Carcinoma stage is the only factor predictive of survival.","PeriodicalId":91106,"journal":{"name":"Journal of cancer epidemiology & treatment","volume":"1 1","pages":"6 - 10"},"PeriodicalIF":0.0,"publicationDate":"2015-07-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"68798537","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2015-01-01Epub Date: 2015-08-12DOI: 10.24218/jcet.2015.08
Arthur J Lustig
Real time qPCR has become the method of choice for rapid large-scale telomere length measurements. Large samples sizes are critical for clinical trials, and epidemiological studies. QPCR has become such routine procedure that it is often used with little critical analysis. With proper controls, the mean telomere size can be derived from the data and even the size can be estimated. But there is a need for more consistent and reliable controls that will provide closer to the actual mean size can be obtained with uniform consensus controls. Although originating at the level of basic telomere research, many researchers less familiar with telomeres often misunderstand the source and significance of the qPCR metric. These include researchers and clinicians who are interested in having a rapid tool to produce exciting results in disease prognostics and diagnostics than in the multiple characteristics of telomeres that form the basis of the measurement. But other characteristics of the non-bimodal and heterogeneous telomeres as well as the complexities of telomere dynamics are not easily related to qPCR mean telomere values. The qPCR metric does not reveal the heterogeneity and dynamics of telomeres. This is a critical issue since mutations in multiple genes including telomerase can cause telomere dysfunction and a loss of repeats. The smallest cellular telomere has been shown to arrest growth of the cell carrying the dysfunction telomere. A goal for the future is a simple method that takes into account the heterogeneity by measuring the highest and lowest values as part of the scheme to compare. In the absence of this technique, Southern blots need to be performed in a subset of qPCR samples for both mean telomere size and the upper and lower extremes of the distribution. Most importantly, there is a need for greater transparency in discussing the limitations of the qPCR data. Given the potentially exciting qPCR telomere size results emerging from clinical studies that relate qPCR mean telomere size estimates to disease states, the current ambiguities have become urgent issues to validate the findings and to set the right course for future clinical investigations.
{"title":"Potential Risks in the Paradigm of Basic to Translational Research: A Critical Evaluation of qPCR Telomere Size Techniques.","authors":"Arthur J Lustig","doi":"10.24218/jcet.2015.08","DOIUrl":"10.24218/jcet.2015.08","url":null,"abstract":"<p><p>Real time qPCR has become the method of choice for rapid large-scale telomere length measurements. Large samples sizes are critical for clinical trials, and epidemiological studies. QPCR has become such routine procedure that it is often used with little critical analysis. With proper controls, the mean telomere size can be derived from the data and even the size can be estimated. But there is a need for more consistent and reliable controls that will provide closer to the actual mean size can be obtained with uniform consensus controls. Although originating at the level of basic telomere research, many researchers less familiar with telomeres often misunderstand the source and significance of the qPCR metric. These include researchers and clinicians who are interested in having a rapid tool to produce exciting results in disease prognostics and diagnostics than in the multiple characteristics of telomeres that form the basis of the measurement. But other characteristics of the non-bimodal and heterogeneous telomeres as well as the complexities of telomere dynamics are not easily related to qPCR mean telomere values. The qPCR metric does not reveal the heterogeneity and dynamics of telomeres. This is a critical issue since mutations in multiple genes including telomerase can cause telomere dysfunction and a loss of repeats. The smallest cellular telomere has been shown to arrest growth of the cell carrying the dysfunction telomere. A goal for the future is a simple method that takes into account the heterogeneity by measuring the highest and lowest values as part of the scheme to compare. In the absence of this technique, Southern blots need to be performed in a subset of qPCR samples for both mean telomere size and the upper and lower extremes of the distribution. Most importantly, there is a need for greater transparency in discussing the limitations of the qPCR data. Given the potentially exciting qPCR telomere size results emerging from clinical studies that relate qPCR mean telomere size estimates to disease states, the current ambiguities have become urgent issues to validate the findings and to set the right course for future clinical investigations.</p>","PeriodicalId":91106,"journal":{"name":"Journal of cancer epidemiology & treatment","volume":"1 1","pages":"28-37"},"PeriodicalIF":0.0,"publicationDate":"2015-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4590993/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"34231293","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}