Network


Latest external collaboration on country level. Dive into details by clicking on the dots.

Hotspot


Dive into the research topics where Jennifer Wagner is active.

Publication


Featured researches published by Jennifer Wagner.


The Journal of Urology | 2013

Using the Epigenetic Field Defect to Detect Prostate Cancer in Biopsy Negative Patients

Matthew Truong; Bing Yang; Andrew Livermore; Jennifer Wagner; Puspha Weeratunga; Wei Huang; Rajiv Dhir; Joel B. Nelson; Daniel W. Lin; David F. Jarrard

PURPOSE We determined whether a novel combination of field defect DNA methylation markers could predict the presence of prostate cancer using histologically normal transrectal ultrasound guided biopsy cores. MATERIALS AND METHODS Methylation was assessed using quantitative Pyrosequencing® in a training set consisting of 65 nontumor and tumor associated prostate tissues from University of Wisconsin. A multiplex model was generated using multivariate logistic regression and externally validated in blinded fashion in a set of 47 nontumor and tumor associated biopsy specimens from University of Washington. RESULTS We observed robust methylation differences in all genes at all CpGs assayed (p <0.0001). Regression models incorporating individual genes (EVX1, CAV1 and FGF1) and a gene combination (EVX1 and FGF1) discriminated nontumor from tumor associated tissues in the original training set (AUC 0.796-0.898, p <0.001). On external validation uniplex models incorporating EVX1, CAV1 or FGF1 discriminated tumor from nontumor associated biopsy negative specimens (AUC 0.702, 0.696 and 0.658, respectively, p <0.05). A multiplex model (EVX1 and FGF1) identified patients with prostate cancer (AUC 0.774, p = 0.001) and had a negative predictive value of 0.909. Comparison between 2 separate cores in patients in this validation set revealed similar methylation defects, indicating detection of a widespread field defect. CONCLUSIONS A widespread epigenetic field defect can be used to detect prostate cancer in patients with histologically negative biopsies. To our knowledge this assay is unique, in that it detects alterations in nontumor cells. With further validation this marker combination (EVX1 and FGF1) has the potential to decrease the need for repeat prostate biopsies, a procedure associated with cost and complications.


PLOS ONE | 2015

Overexpression of the novel senescence marker β-galactosidase (GLB1) in prostate cancer predicts reduced PSA recurrence.

Jennifer Wagner; Nathan Damaschke; Bing Yang; Matthew Truong; Chad Guenther; Johnathon McCormick; Wei Huang; David F. Jarrard

Purpose Senescence is a terminal growth arrest that functions as a tumor suppressor in aging and precancerous cells and is a response to selected anticancer compounds. Lysosomal-β-galactosidase (GLB1) hydrolyzes β-galactose from glycoconjugates and is the origin of senescence-associated β-gal activity (SA-β-gal). Using a new GLB1 antibody, senescence biology was investigated in prostate cancer (PCa) tissues. Experimental Design In vitro characterization of GLB1 was determined in primary prostate epithelial cell cultures passaged to replicative senescence and in therapy-induced senescence in PCa lines using chemotherapeutic agents. FFPE tissue microarrays were subjected to immunofluorescent staining for GLB1, Ki67 and HP1γ and automated quantitative imaging initially using AQUA in exploratory samples and Vectra in a validation series. Results GLB1 expression accumulates in replicative and induced senescence and correlates with senescent morphology and P16 (CDKN2) expression. In tissue arrays, quantitative imaging detects increased GLB1 expression in high-grade prostatic intraepithelial neoplasia (HGPIN), known to contain senescent cells, and cancer compared to benign prostate tissues (p<0.01) and senescent cells contain low Ki67 and elevated HP1γ. Within primary tumors, elevated GLB1 associates with lower T stage (p=0.01), localized versus metastatic disease (p=0.0003) and improved PSA-free survival (p=0.03). Increased GLB1 stratifies better PSA-free survival in intermediate grade PCa (0.01). Tissues that elaborate higher GLB1 display increased uniformity of expression. Conclusion Increased GLB1 is a valuable marker in formalin-fixed paraffin-embedded (FFPE) tissues for the senescence-like phenotype and associates with improved cancer outcomes. This protein addresses a lack of senescence markers and should be applicable to study the biologic role of senescence in other cancers.


PLOS ONE | 2014

A Novel Pathway Links Oxidative Stress to Loss of Insulin Growth Factor-2 (IGF2) Imprinting through NF-κB Activation

Bing Yang; Jennifer Wagner; Nathan Damaschke; Tianyu Yao; Moon-Hee Lee; John Svaren; David F. Jarrard

Genomic imprinting is the allele-specific expression of a gene based on parental origin. Loss of imprinting(LOI) of Insulin-like Growth Factor 2 (IGF2) during aging is important in tumorigenesis, yet the regulatory mechanisms driving this event are largely unknown. In this study oxidative stress, measured by increased NF-κB activity, induces LOI in both cancerous and noncancerous human prostate cells. Decreased expression of the enhancer-blocking element CCCTC-binding factor(CTCF) results in reduced binding of CTCF to the H19-ICR (imprint control region), a major factor in the allelic silencing of IGF2. This ICR then develops increased DNA methylation. Assays identify a recruitment of the canonical pathway proteins NF-κB p65 and p50 to the CTCF promoter associated with the co-repressor HDAC1 explaining gene repression. An IκBα super-repressor blocks oxidative stress-induced activation of NF-κB and IGF2 imprinting is maintained. In vivo experiments using IκBα mutant mice with continuous NF-κB activation demonstrate increased IGF2 LOI further confirming a central role for canonical NF-κB signaling. We conclude CTCF plays a central role in mediating the effects of NF-κB activation that result in altered imprinting both in vitro and in vivo. This novel finding connects inflammation found in aging prostate tissues with the altered epigenetic landscape.


Epigenomics | 2013

Analysis of Promoter Non-CG Methylation in Prostate Cancer

Matthew Truong; Bing Yang; Jennifer Wagner; Joshua A. Desotelle; David F. Jarrard

BACKGROUND In vertebrates, DNA methylation occurs primarily at CG dinucleotides but recently, non-CG methylation has been found at appreciable levels in embryonic stem cells. MATERIALS & METHODS To assess non-CG methylation in cancer, we compared the extent of non-CG methylation at several biologically important CG islands in prostate cancer and normal cell lines. An assessment of the promoter CG islands EVX1 and FILIP1L demonstrates a fourfold higher rate of non-CG methylation at EVX1 compared with FILIP1L across all cell lines. These loci are densely methylated at CG sites in cancer. RESULTS No significant difference in non-CG methylation was demonstrated between cancer and normal. Treatment of cancer cell lines with 5-azacytidine significantly reduced methylation within EVX1 at CG and CC sites, preferentially. CONCLUSION Non-CG methylation does not correlate with CG methylation at hypermethylated promoter regions in cancer. Furthermore, global inhibition of DNA methyltransferases does not affect all methylated cytosines uniformly.


Epigenetics | 2013

Pyrosequencing for the rapid and efficient quantification of allele-specific expression

Bing Yang; Jennifer Wagner; Tianyu Yao; Nathan Damaschke; David F. Jarrard

We have developed a rapid and sensitive quantitative assay for the measurement of individual allelic ratios. This assay minimizes time and labor, the need for special restriction endonuclease enzymes for polymorphic sites, and avoids heteroduplex formation seen with traditional quantitative PCR-based methods. It has improved sensitivity compared to other methods and is capable of distinguishing 1% differences in allelic expression. This assay, termed Pyrosequencing for Imprinted Expression (PIE), involves the use of an intron-crossing PCR primer to generate the first PCR product. We applied the assay to analyze Insulin-like Growth Factor-2 (IGF2) imprinting in both human and mouse prostate tissues.


PLOS ONE | 2017

Persistence of senescent prostate cancer cells following prolonged neoadjuvant androgen deprivation therapy

Michael L. Blute; Nathan Damaschke; Jennifer Wagner; Bing Yang; Martin Gleave; Ladan Fazli; Fangfang Shi; E. Jason Abel; Tracy M. Downs; Wei Huang; David F. Jarrard

Purpose Androgen deprivation therapy (ADT) commonly leads to incomplete cell death and the fate of persistent cells involves, in part, a senescent phenotype. Senescence is terminal growth arrest in response to cell stress that is characterized by increased lysosomal-β-galactosidase (GLB1) the origin of senescence associated-β-gal activity (SA-β-gal). In the current study senescence is examined in vivo after ADT use in a neoadjuvant trial. Methods and materials Tissue microarrays were generated from prostate cancer specimens (n = 126) from a multicenter neoadjuvant ADT trial. Arrays were subjected to multiplexed immunofluorescent staining for GLB1, Ki67, cleaved caspase 3 (CC3) and E-cadherin. Automated quantitative imaging was performed using Vectra™ and expression correlated with clinicopathologic features. Results Tissue was analyzed from 59 patients treated with neoadjuvant ADT and 67 receiving no therapy preoperatively. Median follow-up was 85.3 mo and median ADT treatment was 5 mo. In PC treated with neoadjuvant ADT, GLB1 expression increased in intermediate Gleason score (GS 6–7; p = 0.001), but not high grade (GS 8–10) cancer. Significantly higher levels of GLB1 were seen in tissues undergoing neoadjuvant ADT longer than 5 months compared to untreated tissues (p = 0.002). In contrast, apoptosis significantly increased earlier (1–4 mo) after ADT treatment (p<0.5). Conclusions Increased GLB1 after neoadjuvant ADT occurs primarily among more clinically favorable intermediate grade cancers and enrichment of the phenotype occurs in a temporally prolonged fashion. Senescence may explain the persistence of PCa cells after ADT. Given concerns for the detrimental longer term presence of senescent cells, targeting these cells for removal may improve outcomes.


PeerJ | 2018

Combined accelerometer and genetic analysis to differentiate essential tremor from Parkinson’s disease

Bhuvan Molparia; Brian N. Schrader; Eli Cohen; Jennifer Wagner; Sandeep Gupta; Sherrie Gould; Nelson Hwynn; Emily G. Spencer; Ali Torkamani

Essential tremor (ET) and Parkinson’s disease (PD) are among the most common adult-onset tremor disorders. Clinical and pathological studies suggest that misdiagnosis of PD for ET, and vice versa, occur in anywhere from 15% to 35% of cases. Complex diagnostic procedures, such as dopamine transporter imaging, can be powerful diagnostic aids but are lengthy and expensive procedures that are not widely available. Preliminary studies suggest that monitoring of tremor characteristics with consumer grade accelerometer devices could be a more accessible approach to the discrimination of PD from ET, but these studies have been performed in well-controlled clinical settings requiring multiple maneuvers and oversight from clinical or research staff, and thus may not be representative of at-home monitoring in the community setting. Therefore, we set out to determine whether discrimination of PD vs. ET diagnosis could be achieved by monitoring research subject movements at home using consumer grade devices, and whether discrimination could be improved with the addition of genetic profiling of the type that is readily available through direct-to-consumer genetic testing services. Forty subjects with PD and 27 patients with ET were genetically profiled and had their movements characterized three-times a day for two weeks through a simple procedure meant to induce rest tremors. We found that tremor characteristics could be used to predict diagnosis status (sensitivity = 76%, specificity = 65%, area under the curve (AUC) = 0.75), but that the addition of genetic risk information, via a PD polygenic risk score, did not improve discriminatory power (sensitivity = 80%, specificity = 65%, AUC = 0.73).


PLOS ONE | 2018

A feasibility study of colorectal cancer diagnosis via circulating tumor DNA derived CNV detection

Bhuvan Molparia; Glenn Oliveira; Jennifer Wagner; Emily G. Spencer; Ali Torkamani

Circulating tumor DNA (ctDNA) has shown great promise as a biomarker for early detection of cancer. However, due to the low abundance of ctDNA, especially at early stages, it is hard to detect at high accuracies while keeping sequencing costs low. Here we present a pilot stage study to detect large scale somatic copy numbers variations (CNVs), which contribute more molecules to ctDNA signal compared to point mutations, via cell free DNA sequencing. We show that it is possible to detect somatic CNVs in early stage colorectal cancer (CRC) patients and subsequently discriminate them from normal patients. With 25 normal and 24 CRC samples, we achieve 100% specificity (lower bound confidence interval: 86%) and ~79% sensitivity (95% confidence interval: 63% - 95%,), though the performance should be considered with caution given the limited sample size. We report a lack of concordance between the CNVs detected via cfDNA sequencing and CNVs identified in parent tissue samples. However, recent findings suggest that a lack of concordance is expected for CNVs in CRC because of their sub-clonal nature. Finally, the CNVs we detect very likely contribute to cancer progression as they lie in functionally important regions, and have been shown to be associated with CRC specifically. This study paves the path for a larger scale exploration of the potential of CNV detection for both diagnoses and prognoses of cancer.


Frontiers in Cardiovascular Medicine | 2018

Corrigendum: Molecular Autopsy for Sudden Death in the Young: Is Data Aggregation the Key?

Manuel Rueda; Jennifer Wagner; Tierney Phillips; Sarah E. Topol; Evan D. Muse; Jonathan R. Lucas; Glenn N. Wagner; Eric J. Topol; Ali Torkamani

[This corrects the article on p. 72 in vol. 4, PMID: 29181379.].


Frontiers in Cardiovascular Medicine | 2017

Molecular Autopsy for Sudden Death in the Young: Is Data Aggregation the Key?

Manuel Rueda; Jennifer Wagner; Tierney C. Phillips; Sarah E. Topol; Evan D. Muse; Jonathan R. Lucas; Glenn N. Wagner; Eric J. Topol; Ali Torkamani

The Scripps molecular autopsy study seeks to incorporate genetic testing into the postmortem examination of cases of sudden death in the young (<45 years old). Here, we describe the results from the first 2 years of the study, which consisted of whole exome sequencing (WES) of a cohort of 50 cases predominantly from San Diego County. Apart from the individual description of cases, we analyzed the data at the cohort-level, which brought new perspectives on the genetic causes of sudden death. We investigated the advantages and disadvantages of using WES compared to a gene panel for cardiac disease (usually the first genetic test used by medical examiners). In an attempt to connect complex clinical phenotypes with genotypes, we classified samples by their genetic fingerprint. Finally, we studied the benefits of analyzing the mitochondrial DNA genome. In this regard, we found that half of the cases clinically diagnosed as sudden infant death syndrome had an increased ratio of heteroplasmic variants, and that the variants were also present in the mothers. We believe that community-based data aggregation and sharing will eventually lead to an improved classification of variants. Allele frequencies for the all cases can be accessed via our genomics browser at https://genomics.scripps.edu/browser.

Collaboration


Dive into the Jennifer Wagner's collaboration.

Top Co-Authors

Avatar

Bing Yang

University of Wisconsin-Madison

View shared research outputs
Top Co-Authors

Avatar

David F. Jarrard

University of Wisconsin-Madison

View shared research outputs
Top Co-Authors

Avatar

Nathan Damaschke

University of Wisconsin-Madison

View shared research outputs
Top Co-Authors

Avatar

Wei Huang

University of Wisconsin-Madison

View shared research outputs
Top Co-Authors

Avatar

Ali Torkamani

Scripps Research Institute

View shared research outputs
Top Co-Authors

Avatar

Matthew Truong

University of Wisconsin-Madison

View shared research outputs
Top Co-Authors

Avatar

Pushpa Weeratunga

University of Wisconsin-Madison

View shared research outputs
Top Co-Authors

Avatar

Tianyu Yao

University of Wisconsin-Madison

View shared research outputs
Top Co-Authors

Avatar

Andrew Livermore

University of Wisconsin-Madison

View shared research outputs
Top Co-Authors

Avatar

Bhuvan Molparia

Scripps Research Institute

View shared research outputs
Researchain Logo
Decentralizing Knowledge