Application of Real-Time PCR Technlogies for Analysis of JCV as a Human Cancerogen

Tsekov, Iliya; Ferdinandov, Dilyan; Hristova, S.; Stoyanova, D.; Kacarov, Krum; Kalvatchev, Z.

doi:10.5504/bbeq.2011.0023

Cited by 2 publications

(5 citation statements)

References 14 publications

(10 reference statements)

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“…As just one study used real time PCR and NCCR, it was excluded from the metanalysis. In the study 10 and 0 out of 44 cases were positive for the JC virus by using TAg and NCCR, respectively (Tsekov et al, 2011).…”

Section: Prevalence Of Jcv In Subgroupsmentioning

confidence: 78%

“…Sarvari et al, 2018;Haghi Navand et al, 2019) and five studies assessed the BK virus prevalence (Casini et al, 2005;Giuliani et al, 2008;Tseng et al, 2014;Jarzynski et al, 2017;Sarvari et al, 2018) Some studies had used several targets and diagnostic methods (Enam et al, 2002;Hori et al, 2005;Lin et al, 2008;Tsekov et al, 2011;Mou et al, 2012;Matalka et al, 2013;Tseng et al, 2014). One stydy used In Situ Hybridization (ISH) (Samaka et al, 2013), one study used real time PCR(Polymerase Chain Reaction) (Tsekov et al, 2011) and others used PCR, nested-PCR or Immunohistochemistry (IHC), (Enam et al, 2002;Casini et al, 2005;Hori et al, 2005;Theodoropoulos et al, 2005;Goel et al, 2006;Giuliani et al, 2008;Jung et al, 2008;Lin et al, 2008;Niv et al, 2010a;Niv et al, 2010b;Ramamoorthy et al, 2011;Tsekov et al, 2011;Mou et al, 2012;Coelho et al, 2013;Matalka et al, 2013;Ripple et al, 2014;Sinagra et al, 2014;Ksiaa et al, 2015;Jarzynski et al, 2017;Toumi et al, 2017;Sarvari et al, 2018;Haghi Navand et al, 2019). Most of the studies targeted DNA and T antigen (TAg) from the samples in order to diagnose the viruses …”

Section: Discussionmentioning

confidence: 99%

“…One stydy used In Situ Hybridization (ISH) (Samaka et al, 2013), one study used real time PCR(Polymerase Chain Reaction) (Tsekov et al, 2011) and others used PCR, nested-PCR or Immunohistochemistry (IHC), (Enam et al, 2002;Casini et al, 2005;Hori et al, 2005;Theodoropoulos et al, 2005;Goel et al, 2006;Giuliani et al, 2008;Jung et al, 2008;Lin et al, 2008;Niv et al, 2010a;Niv et al, 2010b;Ramamoorthy et al, 2011;Tsekov et al, 2011;Mou et al, 2012;Coelho et al, 2013;Matalka et al, 2013;Ripple et al, 2014;Sinagra et al, 2014;Ksiaa et al, 2015;Jarzynski et al, 2017;Toumi et al, 2017;Sarvari et al, 2018;Haghi Navand et al, 2019). Most of the studies targeted DNA and T antigen (TAg) from the samples in order to diagnose the viruses (Enam et al, 2002;Hori et al, 2005;Goel et al, 2006;Jung et al, 2008;Lin et al, 2008;Niv et al, 2010b;Tsekov et al, 2011;Mou et al, 2012;Vilkin et al, 2012;Matalka et al, 2013;Samaka et al, 2013;Ripple et al, 2014;Tseng et al, 2014;Haghi Navand et al, 2019), however, viral protein 1(VP1), noncoding control region (NCCR) and Agnoprotein were also used as target …”

Section: Discussionmentioning

confidence: 99%

“…Overall 18 studies reported the JCV prevalence in colorectal cancer that were included in prevalence (Enam et al, 2002;Casini et al, 2005;Hori et al, 2005;Theodoropoulos et al, 2005;Goel et al, 2006;Giuliani et al, 2008;Lin et al, 2008;Niv et al, 2010a;Niv et al, 2010b;Tsekov et al, 2011;Mou et al, 2012;Coelho et al, 2013;Matalka et al, 2013;Sinagra et al, 2014;Ksiaa et al, 2015;Toumi et al, 2017;Sarvari et al, 2018;Haghi Navand et al, 2019). Nine studies used PCR (Enam et al, 2002;Casini et al, 2005;Goel et al, 2006;Giuliani et al, 2008;Niv et al, 2010b;Matalka et al, 2013;Ksiaa et al, 2015;Sarvari et al, 2018;Haghi Navand et al, 2019), seven studies used nested-PCR (Hori et al, 2005;Theodoropoulos et al, 2005;Lin et al, 2008;Mou et al, 2012;Coelho et al, 2013;Sinagra et al, 2014;Toumi et al, 2017) and seven studies used IHC methods for virus detection).…”

Section: Meta-analysis Of Jcv Prevalencementioning

confidence: 99%

“…In 13 studies, the prevalence of JCV in CRC was compared with a control group. There were four types of control groups in order to compare the prevalence of JCV in CRC with them (Casini et al, 2005;Hori et al, 2005;Theodoropoulos et al, 2005;Goel et al, 2006;Jung et al, 2008;Niv et al, 2010b;Tsekov et al, 2011;Mou et al, 2012;Coelho et al, 2013;Matalka et al, 2013;Samaka et al, 2013;Ksiaa et al, 2015;Haghi Navand et al, 2019). The control groups used were healthy people, normal mucous tissue of the same person, patients with colorectal adenoma and patients with non-CRC (HCV, polyp and gastrointestinal disorders other than CRC).…”

Section: Association Of Jcv and Colorectal Cancermentioning

confidence: 99%

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Prevalence of JC and BK viruses in Patients with Colorectal Cancer: A Systematic Review and Meta- Analysis

Shoraka

Abobakri

Tahami

et al. 2020

Asian Pac J Cancer Prev

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Introduction: Polyomaviruses including BK virus (BKV) and JC virus (JCV) are widespread in human and have been associated with colorectal cancer (CRC) in some studies. The aim of present systematic review and meta-analysis article is to calculate the pooled prevalence of BKV and JCV in patients with CRC and assessing their association with this malignancy. Materials and Methods: Domestic databases and Sciences Direct, PubMed, ProQuest, Web of Sciences and Scopus were searched for relevant articles up to 2nd June 2019Two independent reviewers extracted the related data from eligible articles. The pooled prevalence and pooled odds ratio (POR) and their 95% confidence interval (95% CI) were calculated using “metaprop” and “metan” commands in Stata 14. Where I2 statistics were >50%, the random effect model was used. Results: From 1461 relevant studies, 24 articles were eligible and included in the qualitative while 19 articles included in quantitative analysis. The pooled prevalence based on diagnostic methods varies from 29% using immunohistochemistry to 52% using nested-PCR method. The likelihood of being infected with JCV was significantly higher in CRC patients compared to healthy (POR: 4.41, 95% CI: 2.13 – 9.13) controls, normal adjacent mucosa (POR: 2.79, 95% CI: 1.3-5.9) and colorectal adenoma (POR: 3.1, 95% CI: 1.5-6.5) but was not significant when non-CRC patients used as control group. Conclusion: The prevalence of JCV in colorectal patients was substantially variable by different methods and targets. The significant association between JCV and CRC that was observed in the present study is not indicative of causation and should be studied more in large-scale prospective designs.

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Section: Prevalence Of Jcv In Subgroupsmentioning

confidence: 78%

Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

Section: Meta-analysis Of Jcv Prevalencementioning

confidence: 99%

Section: Association Of Jcv and Colorectal Cancermentioning

confidence: 99%

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Prevalence of JC and BK viruses in Patients with Colorectal Cancer: A Systematic Review and Meta- Analysis

Shoraka

Abobakri

Tahami

et al. 2020

Asian Pac J Cancer Prev

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JC polyomavirus in the aetiology and pathophysiology of glial tumours

et al. 2015

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Glial brain tumours with their poor prognosis, limited treatment modalities and unclear detailed pathophysiology represent a significant health concern. The purpose of the current study was to investigate and describe the possible role of the human polyomavirus JC as an underlying cancerogenic or co-cancerogenic factor in the complex processes of glial tumour induction and development. Samples from 101 patients with glial tumours were obtained during neurosurgical tumour resection. Small tissue pieces were taken from several areas of the histologically verified solid tumour core. Biopsies were used for DNA extraction and subsequent amplification reactions of sequences from the JC viral genome. Real-time polymerase chain reaction was used for detection and quantification of its non-coding control region (NCCR) and gene encoding the regulatory protein Large T antigen (LT). An average of 37.6% of all patients was found to be LT positive, whereas only 6.9% tested positive for NCCR. The analysis of the results demonstrated significant variance between the determined LT prevalence and the rate for NCCR, with a low starting copy number in all positive samples and threshold cycles in the range of 36 to 42 representing viral load in the range from 10 to 1000 copies/μl. The results most probably indicate incomplete JC viral replication. Under such conditions, mutations in the host cell genome may be accumulated due to interference of the virus with the host cell machinery, and eventually malignant transformation may occur.

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Application of Real-Time PCR Technlogies for Analysis of JCV as a Human Cancerogen

Cited by 2 publications

References 14 publications

Prevalence of JC and BK viruses in Patients with Colorectal Cancer: A Systematic Review and Meta- Analysis

Prevalence of JC and BK viruses in Patients with Colorectal Cancer: A Systematic Review and Meta- Analysis

JC polyomavirus in the aetiology and pathophysiology of glial tumours

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