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Jordan JA, Rivas KI, Aldous A, Connors KA, Jair K, Klein DA, Hoke ES, Abbott SE. Demonstrating a Statistically Significant Association Between Anal High-Grade Squamous Intraepithelial Lesion and Positive OncoE6 Anal Test in Men Who Have Sex With Men and Are Living With HIV. J Low Genit Tract Dis 2023; 27:248-251. [PMID: 37201549 PMCID: PMC10348354 DOI: 10.1097/lgt.0000000000000750] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 05/20/2023]
Abstract
OBJECTIVES The aim of the study is to determine whether a positive OncoE6 Anal Test result has statistically significant higher odds of being associated with high-grade squamous intraepithelial lesion (HSIL) and to calculate sensitivity and specificity of this test for predicting HSIL in adult men who have sex with men and are living with HIV (MSMLWH). MATERIALS AND METHODS Men living with HIV 18 years or older having ≥atypical squamous cells of undetermined significance-grade anal cytology results were eligible to enroll in this cross-sectional study. Anal samples were collected just before the high-resolution anoscopy procedure. OncoE6 Anal Test results were compared with histology, the reference standard. Sensitivity, specificity, and odds ratio were calculated using HSIL as the threshold. RESULTS Two hundred seventy-seven consented MSMLWH were enrolled between June 2017 and January 2022. Of these, 219 (79.1%) had biopsies obtained and histology performed; 81 of 219 participants (37%) had 1 or more biopsies with HSIL results while the remaining 138 of 219 (63%) had only low-grade squamous intraepithelial lesion or were negative for dysplasia. Anal samples from 7 participants (8.6%, 7/81) with HSIL and 3 (2.2%, 3/138) with low-grade squamous intraepithelial lesion had positive OncoE6 Anal Test results. Odds of having HSIL were 4.26 times higher among participants testing positive for HPV16/HPV18 E6 oncoprotein(s) (OR = 4.26, 95% CI = 1.07-16.95, p = .04). The OncoE6 Anal Test demonstrated excellent specificity, 97.83% (93.78-99.55), but poor sensitivity, 8.64% (3.55-17.0). CONCLUSIONS In this highest-risk population for anal cancer, one could combine the OncoE6 Anal Test, having excellent specificity, with the anal Pap test, having higher sensitivity. Patients found having both an abnormal anal Pap and positive OncoE6 Anal Test result could be triaged for rapid scheduling of their high-resolution anoscopy.
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Affiliation(s)
- Jeanne A. Jordan
- Department of Epidemiology, School of Public Health, The George Washington University, Washington, DC, USA
| | - Karina I. Rivas
- Department of Epidemiology, School of Public Health, The George Washington University, Washington, DC, USA
| | - Annette Aldous
- Department of Biostatistics and Bioinformatics, School of Public Health, The George Washington University, Washington, DC, USA
| | - Kaleigh A. Connors
- Department of Epidemiology, School of Public Health, The George Washington University, Washington, DC, USA
| | - Kamwing Jair
- Department of Epidemiology, School of Public Health, The George Washington University, Washington, DC, USA
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Wilbourn B, Saafir-Callaway B, Jair K, Wertheim JO, Laeyendeker O, Jordan JA, Kharfen M, Castel A. Characterization of HIV Risk Behaviors and Clusters Using HIV-Transmission Cluster Engine Among a Cohort of Persons Living with HIV in Washington, DC. AIDS Res Hum Retroviruses 2021; 37:706-715. [PMID: 34157853 PMCID: PMC8501467 DOI: 10.1089/aid.2021.0031] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/12/2022] Open
Abstract
Molecular epidemiology (ME) is one tool used to end the HIV epidemic in the United States. We combined clinical and behavioral data with HIV sequence data to identify any overlap in clusters generated from different sequence datasets; to characterize HIV transmission clusters; and to identify correlates of clustering among people living with HIV (PLWH) in Washington, District of Columbia (DC). First, Sanger sequences from DC Cohort participants, a longitudinal HIV study, were combined with next-generation sequences (NGS) from participants in a ME substudy to identify clusters. Next, demographic and self-reported behavioral data from ME substudy participants were used to identify risks of secondary transmission. Finally, we combined NGS from ME substudy participants with Sanger sequences in the DC Molecular HIV Surveillance database to identify clusters. Cluster analyses used HIV-Transmission Cluster Engine to identify linked pairs of sequences (defined as distance ≤1.5%). Twenty-eight clusters of ≥3 sequences (size range: 3-12) representing 108 (3%) participants were identified. None of the five largest clusters (size range: 5-12) included newly diagnosed PLWH. Thirty-four percent of ME substudy participants (n = 213) reported condomless sex during their last sexual encounter and 14% reported a Syphilis diagnosis in the past year. Seven transmission clusters (size range: 2-19) were identified in the final analysis, each containing at least one ME substudy participant. Substudy participants in clusters from the third analysis were present in clusters from the first analysis. Combining HIV sequence, clinical and behavioral data provided insights into HIV transmission that may not be identified using traditional epidemiological methods alone. Specifically, the sexual risk behaviors and STI diagnoses reported in the substudy survey may not have been disclosed during Partner Services activities and the survey data complemented clinical data to fully characterize transmission clusters. These findings can be used to enhance local efforts to interrupt transmission and avert new infections.
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Affiliation(s)
- Brittany Wilbourn
- Department of Epidemiology, Milken Institute School of Public Health, The George Washington University, Washington, District of Columbia, USA
| | - Brittani Saafir-Callaway
- HIV/AIDS, Hepatitis, STD and TB Administration, DC Health, Washington, District of Columbia, USA
| | - Kamwing Jair
- Department of Epidemiology, Milken Institute School of Public Health, The George Washington University, Washington, District of Columbia, USA
| | - Joel O. Wertheim
- Department of Medicine, University of California San Diego, LA Jolla, California, USA
| | - Oliver Laeyendeker
- Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA
- Division of Intramural Research, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Baltimore, Maryland, USA
| | - Jeanne A. Jordan
- Department of Epidemiology, Milken Institute School of Public Health, The George Washington University, Washington, District of Columbia, USA
| | - Michael Kharfen
- HIV/AIDS, Hepatitis, STD and TB Administration, DC Health, Washington, District of Columbia, USA
| | - Amanda Castel
- Department of Epidemiology, Milken Institute School of Public Health, The George Washington University, Washington, District of Columbia, USA
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Connors KA, Abbott S, Jair K, Daniels J, Lintner M, Klein D, Wimpleberg A, Jordan JA. Cross comparison of AmpFire HPV genotyping assay and Roche human papillomavirus (HPV) linear array for HPV genotyping of anal swab samples. J Virol Methods 2021; 292:114113. [PMID: 33652016 DOI: 10.1016/j.jviromet.2021.114113] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/18/2020] [Revised: 02/23/2021] [Accepted: 02/24/2021] [Indexed: 11/26/2022]
Abstract
Although anal cancers represent just 0.5 % of all new cancer cases in U.S., rates have increased markedly, with highest rates in HIV-infected MSM. American Cancer Society estimates there will be ∼9090 new cases and ∼1420 deaths in 2021. We compared Roche Linear Array HPV Genotyping (Roche) and AmpFire HPV Genotyping (AmpFire) assays for concordance and agreement to detect 15 hr-HPV types from 151 anal specimens. Within run precision of AmpFire was assessed on 50 anal specimens. Specimens with Roche Combo-positive and HPV33, HPV35 and/or HPV58-positive results were further tested using HPV52-specific TaqMan assay. AmpFire generated valid results on 149/151 (98.7 %) specimens; 135/149 (90.6 %) and 134/149 (89.9 %) had detectable HR-HPV DNA by AmpFire or Roche, respectively. Overall concordance was 89.8 % (2007/2235, κ = 0.65). HPV16 showed highest overall concordance at 93.3 % (139/149, κ = 0.84). HPV68 had lowest overall concordance at 77.2 % (115/149, κ = 0.28). Kappa values were interpreted as being moderate or good for all other HR-HPV types. Within run precision generated 744/750 concordant results; R2 value = 0.97 (p < 0.0001) (Mantel Test). In conclusion, AmpFire and Roche demonstrated good inter-assay agreement for detecting most HR-HPV types from anal samples, with AmpFire detecting a broader range of HPV68 subtypes and detecting HPV52 without the need for confirmatory testing.
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Affiliation(s)
- Kaleigh A Connors
- Department of Epidemiology, School of Public Health, The George Washington University, Washington, DC, USA
| | | | - Kamwing Jair
- Department of Epidemiology, School of Public Health, The George Washington University, Washington, DC, USA
| | - Jason Daniels
- Bloomberg School of Public Health, Johns Hopkins University, Baltimore, MD, USA
| | - Madison Lintner
- Department of Epidemiology, School of Public Health, The George Washington University, Washington, DC, USA
| | | | | | - Jeanne A Jordan
- Department of Epidemiology, School of Public Health, The George Washington University, Washington, DC, USA.
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Kulkarni A, Parker A, Jair K, Petluru P, Chen X, Kochat H, Hausheer FH, Kathad U, Bhatia K, Barnhart K, Sharma P. LP-300 as a potential first-in-class combination agent with tyrosine kinase inhibitors (TKIs) in non-smoker lung adenocarcinoma. J Clin Oncol 2020. [DOI: 10.1200/jco.2020.38.15_suppl.e21660] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/20/2022] Open
Abstract
e21660 Background: Lung cancer in non-smokers (LCINS) is the seventh leading cause of death among solid tumors. LCINS is more frequent in women, and the histological incidence of adenocarcinoma is higher among non-smokers. The mutation pattern by smoking status in non-small cell lung cancer (NSCLC) is distinct with genomic alterations in EGFR, MET and ROS1 being more frequent in non-smokers. Non-smoking status is the strongest clinical predictor of benefit from the EGFR TKIs. Lantern Pharma is developing LP-300/Dimesna, a non-toxic, well-tolerated, water-soluble disulfide as a combination therapy agent potentially indicated in female never-smokers with adenocarcinoma. Retrospective subgroup analyses of prior phase 3 trial data showed substantial overall survival benefit for LP-300 in combination with standard chemotherapy in patients with advanced NSCLC, especially in the female non-smoker adenocarcinoma subgroup (13.4 months in control arm to 27 months in treatment arm). Purpose of this work conducted at BioNumerik Pharmaceuticals was to determine if LP-300 modulates activity of selected receptor tyrosine kinases relevant to non-smoker NSCLC. Methods: In vitro luminescence-based kinase assays were used to evaluate the effect of LP-300 and LP-300-derived mesna-disulfide heteroconjugates, Erlotinib, and Crizotinib, in combination and as single agents, on EGFR, MET, and ROS1 kinase activity. Results: LP-300 inhibited WT EGFR kinase and MET kinase. LP-300 had a time-dependent inhibitory effect on ROS1 kinase activity. LP-300 and LP-300-derived mesna-disulfide heteroconjugates stimulated Erlotinib-mediated inhibition of WT and T790M EGFR. T790M EGFR is normally insensitive to Erlotinib but when LP-300 was used with Erlotinib, inhibition was more prominent. LP-300 also stimulated Crizotinib-mediated inhibition of MET kinase and displayed time-dependent stimulation of Crizotinib-mediated inhibition of ROS1 kinase. Conclusions: LP-300 is a multi-targeted modulator of enzymatic activities of EGFR, MET and ROS1, and potentiates the activity of Erlotinib and Crizotinib. EGFR family members contain conserved extracellular structures that are stabilized by disulfide bonds. Compounds that disrupt extracellular disulfide bonds could inactivate EGFR and potentially downregulate EGFR-dependent proliferative signaling in cancer cells. We propose LP-300 as a Disulfide Bond Disrupting Agent (DDA) that may complement existing EGFR-targeted agents functioning through alternate mechanisms.
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Affiliation(s)
| | - Aulma Parker
- Formerly at BioNumerik Pharmaceuticals, San Antonio, TX
| | - Kamwing Jair
- Formerly at BioNumerik Pharmaceuticals, San Antonio, TX
| | | | - Xinghai Chen
- Formerly BioNumerik Pharmaceuticals, San Antonio, TX
| | - Harry Kochat
- Formerly BioNumerik Pharmaceuticals, San Antonio, TX
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Gibson KM, Jair K, Castel AD, Bendall ML, Wilbourn B, Jordan JA, Crandall KA, Pérez-Losada M. A cross-sectional study to characterize local HIV-1 dynamics in Washington, DC using next-generation sequencing. Sci Rep 2020; 10:1989. [PMID: 32029767 PMCID: PMC7004982 DOI: 10.1038/s41598-020-58410-y] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/23/2019] [Accepted: 12/31/2019] [Indexed: 11/08/2022] Open
Abstract
Washington, DC continues to experience a generalized HIV-1 epidemic. We characterized the local phylodynamics of HIV-1 in DC using next-generation sequencing (NGS) data. Viral samples from 68 participants from 2016 through 2017 were sequenced and paired with epidemiological data. Phylogenetic and network inferences, drug resistant mutations (DRMs), subtypes and HIV-1 diversity estimations were completed. Haplotypes were reconstructed to infer transmission clusters. Phylodynamic inferences based on the HIV-1 polymerase (pol) and envelope genes (env) were compared. Higher HIV-1 diversity (n.s.) was seen in men who have sex with men, heterosexual, and male participants in DC. 54.0% of the participants contained at least one DRM. The 40-49 year-olds showed the highest prevalence of DRMs (22.9%). Phylogenetic analysis of pol and env sequences grouped 31.9-33.8% of the participants into clusters. HIV-TRACE grouped 2.9-12.8% of participants when using consensus sequences and 9.0-64.2% when using haplotypes. NGS allowed us to characterize the local phylodynamics of HIV-1 in DC more broadly and accurately, given a better representation of its diversity and dynamics. Reconstructed haplotypes provided novel and deeper phylodynamic insights, which led to networks linking a higher number of participants. Our understanding of the HIV-1 epidemic was expanded with the powerful coupling of HIV-1 NGS data with epidemiological data.
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Grants
- P30 AI117970 NIAID NIH HHS
- U01 AI069503 NIAID NIH HHS
- UM1 AI069503 NIAID NIH HHS
- This study was supported by the DC Cohort Study (U01 AI69503-03S2), a supplement from the Women’s Interagency Study for HIV-1 (410722_GR410708), a DC D-CFAR pilot award, and a 2015 HIV-1 Phylodynamics Supplement award from the District of Columbia for AIDS Research, an NIH funded program (AI117970), which is supported by the following NIH Co-Funding and Participating Institutes and Centers: NIAID, NCI, NICHD, NHLBI, NIDA, NIMH, NIA, FIC, NIGMS, NIDDK and OAR. The content is solely the responsibility of the authors and does not necessarily represent the official views of the NIH.
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Affiliation(s)
- Keylie M Gibson
- Computational Biology Institute, The Milken Institute School of Public Health, The George Washington University, Washington, DC, 20052, USA.
| | - Kamwing Jair
- Department of Epidemiology, The Milken Institute School of Public Health, The George Washington University, Washington, DC, 20052, USA
| | - Amanda D Castel
- Department of Epidemiology, The Milken Institute School of Public Health, The George Washington University, Washington, DC, 20052, USA
| | - Matthew L Bendall
- Computational Biology Institute, The Milken Institute School of Public Health, The George Washington University, Washington, DC, 20052, USA
| | - Brittany Wilbourn
- Department of Epidemiology, The Milken Institute School of Public Health, The George Washington University, Washington, DC, 20052, USA
| | - Jeanne A Jordan
- Department of Epidemiology, The Milken Institute School of Public Health, The George Washington University, Washington, DC, 20052, USA
| | - Keith A Crandall
- Computational Biology Institute, The Milken Institute School of Public Health, The George Washington University, Washington, DC, 20052, USA
- Department of Biostatistics and Bioinformatics, The Milken Institute School of Public Health, The George Washington University, Washington, DC, 20052, USA
| | - Marcos Pérez-Losada
- Computational Biology Institute, The Milken Institute School of Public Health, The George Washington University, Washington, DC, 20052, USA
- Department of Biostatistics and Bioinformatics, The Milken Institute School of Public Health, The George Washington University, Washington, DC, 20052, USA
- CIBIO-InBIO, Centro de Investigação em Biodiversidade e Recursos Genéticos, Universidade do Porto, Campus Agrário de Vairão, Vairão, Portugal
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Jair K, McCann CD, Reed H, Castel AD, Pérez-Losada M, Wilbourn B, Greenberg AE, Jordan JA. Validation of publicly-available software used in analyzing NGS data for HIV-1 drug resistance mutations and transmission networks in a Washington, DC, Cohort. PLoS One 2019; 14:e0214820. [PMID: 30964884 PMCID: PMC6456221 DOI: 10.1371/journal.pone.0214820] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/04/2019] [Accepted: 03/20/2019] [Indexed: 12/03/2022] Open
Abstract
The DC Cohort is an ongoing longitudinal observational study of persons living with HIV. To better understand HIV-1 drug resistance and potential transmission clusters among these participants, we performed targeted, paired-end next-generation sequencing (NGS) of protease, reverse transcriptase and integrase amplicons. We elected to use free, publicly-available software (HyDRA Web, Stanford HIVdb and HIV-TRACE) for data analyses so that laboratory personnel without extensive bioinformatics expertise could use it; making the approach accessible and affordable for labs worldwide. With more laboratories transitioning away from Sanger-based chemistries to NGS platforms, lower frequency drug resistance mutations (DRMs) can be detected, yet their clinical relevance is uncertain. We looked at the impact choice in cutoff percentage had on number of DRMs detected and found an inverse correlation between the two. Longitudinal studies will be needed to determine whether low frequency DRMs are an early indicator of emerging resistance. We successfully validated this pipeline against a commercial pipeline, and another free, publicly-available pipeline. RT DRM results from HyDRA Web were compared to both SmartGene and PASeq Web; using the Mantel test, R2 values were 0.9332 (p<0.0001) and 0.9097 (p<0.0001), respectively. PR and IN DRM results from HyDRA Web were then compared with PASeq Web only; using the Mantel test, R2 values were 0.9993 (p<0.0001) and 0.9765 (p<0.0001), respectively. Drug resistance was highest for the NRTI drug class and lowest for the PI drug class in this cohort. RT DRM interpretation reports from this pipeline were also highly correlative compared to SmartGene pipeline; using the Spearman's Correlation, rs value was 0.97757 (p<0.0001). HIV-TRACE was used to identify potential transmission clusters to better understand potential linkages among an urban cohort of persons living with HIV; more individuals were male, of black race, with an HIV risk factor of either MSM or High-risk Heterosexual. Common DRMs existed among individuals within a cluster. In summary, we validated a comprehensive, easy-to-use and affordable NGS approach for tracking HIV-1 drug resistance and identifying potential transmission clusters within the community.
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Affiliation(s)
- Kamwing Jair
- Department of Epidemiology and Biostatistics, Milken Institute School of Public Health, The George Washington University, Washington, DC, United States of America
| | - Chase D. McCann
- Department of Immunology and Microbial Pathogenesis, Weill Cornell Graduate School of Medical Sciences, New York, NY, United States of America
| | - Harrison Reed
- Department of Forensic Sciences, Public Health Laboratory, District of Columbia, Washington, DC, United States of America
| | - Amanda D. Castel
- Department of Epidemiology and Biostatistics, Milken Institute School of Public Health, The George Washington University, Washington, DC, United States of America
| | - Marcos Pérez-Losada
- Department of Epidemiology and Biostatistics, Milken Institute School of Public Health, The George Washington University, Washington, DC, United States of America
- GWU Computational Biology Institute and CIBIO-InBIO, Centro de Investigação em Biodiversidade e Recursos Genéticos, Universidade do Porto, Campus Agrário de Vairão, Vairão, Portugal
| | - Brittany Wilbourn
- Department of Epidemiology and Biostatistics, Milken Institute School of Public Health, The George Washington University, Washington, DC, United States of America
| | - Alan E. Greenberg
- Department of Epidemiology and Biostatistics, Milken Institute School of Public Health, The George Washington University, Washington, DC, United States of America
| | - Jeanne A. Jordan
- Department of Epidemiology and Biostatistics, Milken Institute School of Public Health, The George Washington University, Washington, DC, United States of America
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De Biase LM, Schuebel KE, Fusfeld ZH, Jair K, Hawes IA, Cimbro R, Zhang HY, Liu QR, Shen H, Xi ZX, Goldman D, Bonci A. Local Cues Establish and Maintain Region-Specific Phenotypes of Basal Ganglia Microglia. Neuron 2017; 95:341-356.e6. [PMID: 28689984 DOI: 10.1016/j.neuron.2017.06.020] [Citation(s) in RCA: 281] [Impact Index Per Article: 40.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/23/2016] [Revised: 04/13/2017] [Accepted: 06/12/2017] [Indexed: 12/11/2022]
Abstract
Microglia play critical roles in tissue homeostasis and can also modulate neuronal function and synaptic connectivity. In contrast to astrocytes and oligodendrocytes, which arise from multiple progenitor pools, microglia arise from yolk sac progenitors and are widely considered to be equivalent throughout the CNS. However, little is known about basic properties of deep brain microglia, such as those within the basal ganglia (BG). Here, we show that microglial anatomical features, lysosome content, membrane properties, and transcriptomes differ significantly across BG nuclei. Region-specific phenotypes of BG microglia emerged during the second postnatal week and were re-established following genetic or pharmacological microglial ablation and repopulation in the adult, indicating that local cues play an ongoing role in shaping microglial diversity. These findings demonstrate that microglia in the healthy brain exhibit a spectrum of distinct functional states and provide a critical foundation for defining microglial contributions to BG circuit function.
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Affiliation(s)
- Lindsay M De Biase
- Intramural Research Program, National Institute on Drug Abuse, National Institutes of Health, Baltimore, MD 21224, USA.
| | - Kornel E Schuebel
- Intramural Research Program, Laboratory of Neurogenetics, National Institute on Alcohol Abuse and Alcoholism, National Institutes of Health, Rockville, MD 20852, USA
| | - Zachary H Fusfeld
- Intramural Research Program, National Institute on Drug Abuse, National Institutes of Health, Baltimore, MD 21224, USA
| | - Kamwing Jair
- Intramural Research Program, Laboratory of Neurogenetics, National Institute on Alcohol Abuse and Alcoholism, National Institutes of Health, Rockville, MD 20852, USA
| | - Isobel A Hawes
- Intramural Research Program, National Institute on Drug Abuse, National Institutes of Health, Baltimore, MD 21224, USA
| | - Raffaello Cimbro
- Division of Rheumatology, Bayview Flow Cytometry Core, Johns Hopkins University School of Medicine, Baltimore, MD 21224, USA
| | - Hai-Ying Zhang
- Intramural Research Program, National Institute on Drug Abuse, National Institutes of Health, Baltimore, MD 21224, USA
| | - Qing-Rong Liu
- Intramural Research Program, National Institute on Drug Abuse, National Institutes of Health, Baltimore, MD 21224, USA
| | - Hui Shen
- Intramural Research Program, National Institute on Drug Abuse, National Institutes of Health, Baltimore, MD 21224, USA
| | - Zheng-Xiong Xi
- Intramural Research Program, National Institute on Drug Abuse, National Institutes of Health, Baltimore, MD 21224, USA
| | - David Goldman
- Intramural Research Program, Laboratory of Neurogenetics, National Institute on Alcohol Abuse and Alcoholism, National Institutes of Health, Rockville, MD 20852, USA
| | - Antonello Bonci
- Intramural Research Program, National Institute on Drug Abuse, National Institutes of Health, Baltimore, MD 21224, USA; Solomon H. Snyder Department of Neuroscience, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA; Department of Psychiatry and Behavioral Sciences, Johns Hopkins University School of Medicine, Baltimore, MD 21287, USA.
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Parker AR, Petluru PN, Nienaber VL, Badger J, Leverett BD, Jair K, Sridhar V, Logan C, Ayala PY, Kochat H, Hausheer FH. Cysteine specific targeting of the functionally distinct peroxiredoxin and glutaredoxin proteins by the investigational disulfide BNP7787. Molecules 2015; 20:4928-50. [PMID: 25793542 PMCID: PMC6272748 DOI: 10.3390/molecules20034928] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/10/2014] [Accepted: 03/05/2015] [Indexed: 10/25/2022] Open
Abstract
Glutaredoxin (Grx), peroxiredoxin (Prx), and thioredoxin (Trx) are redoxin family proteins that catalyze different types of chemical reactions that impact cell growth and survival through functionally distinct intracellular pathways. Much research is focused on understanding the roles of these redoxin proteins in the development and/or progression of human diseases. Grx and Prx are overexpressed in human cancers, including human lung cancers. BNP7787 is a novel investigational agent that has been evaluated in previous clinical studies, including non-small cell lung cancer (NSCLC) studies. Herein, data from activity assays, mass spectrometry analyses, and X-ray crystallographic studies indicate that BNP7787 forms mixed disulfides with select cysteine residues on Grx and Prx and modulates their function. Studies of interactions between BNP7787 and Trx have been conducted and reported separately. Despite the fact that Trx, Grx, and Prx are functionally distinct proteins that impact oxidative stress, cell proliferation and disease processes through different intracellular pathways, BNP7787 can modify each protein and appears to modulate function through mechanisms that are unique to each target protein. Tumor cells are often genomically heterogeneous containing subpopulations of cancer cells that often express different tumor-promoting proteins or that have multiple dysregulated signaling pathways modulating cell proliferation and drug resistance. A multi-targeted agent that simultaneously modulates activity of proteins important in mediating cell proliferation by functionally distinct intracellular pathways could have many potentially useful therapeutic applications.
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Affiliation(s)
- Aulma R Parker
- BioNumerik Pharmaceuticals, Inc., 8122 Datapoint Drive, Ste. 1250, San Antonio, TX 78229, USA
| | - Pavankumar N Petluru
- BioNumerik Pharmaceuticals, Inc., 8122 Datapoint Drive, Ste. 1250, San Antonio, TX 78229, USA
| | - Vicki L Nienaber
- Zenobia Therapeutics, Inc., 505 Coast Blvd. South, Suite 111, La Jolla, CA 92037, USA
| | - John Badger
- Zenobia Therapeutics, Inc., 505 Coast Blvd. South, Suite 111, La Jolla, CA 92037, USA
| | - Betsy D Leverett
- BioNumerik Pharmaceuticals, Inc., 8122 Datapoint Drive, Ste. 1250, San Antonio, TX 78229, USA
| | - Kamwing Jair
- BioNumerik Pharmaceuticals, Inc., 8122 Datapoint Drive, Ste. 1250, San Antonio, TX 78229, USA
| | - Vandana Sridhar
- Zenobia Therapeutics, Inc., 505 Coast Blvd. South, Suite 111, La Jolla, CA 92037, USA
| | - Cheyenne Logan
- Zenobia Therapeutics, Inc., 505 Coast Blvd. South, Suite 111, La Jolla, CA 92037, USA
| | - Philippe Y Ayala
- BioNumerik Pharmaceuticals, Inc., 8122 Datapoint Drive, Ste. 1250, San Antonio, TX 78229, USA
| | - Harry Kochat
- BioNumerik Pharmaceuticals, Inc., 8122 Datapoint Drive, Ste. 1250, San Antonio, TX 78229, USA
| | - Frederick H Hausheer
- BioNumerik Pharmaceuticals, Inc., 8122 Datapoint Drive, Ste. 1250, San Antonio, TX 78229, USA.
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9
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Schuebel KE, Chen W, Cope L, Glöckner SC, Suzuki H, Yi JM, Chan TA, Neste LV, Criekinge WV, van den Bosch S, van Engeland M, Ting AH, Jair K, Yu W, Toyota M, Imai K, Ahuja N, Herman JG, Baylin SB. Comparing the DNA hypermethylome with gene mutations in human colorectal cancer. PLoS Genet 2007; 3:1709-23. [PMID: 17892325 PMCID: PMC1988850 DOI: 10.1371/journal.pgen.0030157] [Citation(s) in RCA: 280] [Impact Index Per Article: 16.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/12/2007] [Accepted: 07/31/2007] [Indexed: 11/18/2022] Open
Abstract
We have developed a transcriptome-wide approach to identify genes affected by promoter CpG island DNA hypermethylation and transcriptional silencing in colorectal cancer. By screening cell lines and validating tumor-specific hypermethylation in a panel of primary human colorectal cancer samples, we estimate that nearly 5% or more of all known genes may be promoter methylated in an individual tumor. When directly compared to gene mutations, we find larger numbers of genes hypermethylated in individual tumors, and a higher frequency of hypermethylation within individual genes harboring either genetic or epigenetic changes. Thus, to enumerate the full spectrum of alterations in the human cancer genome, and to facilitate the most efficacious grouping of tumors to identify cancer biomarkers and tailor therapeutic approaches, both genetic and epigenetic screens should be undertaken. Loss of gene expression in association with aberrant accumulation of 5-methylcytosine in gene promoter CpG islands is a common feature of human cancer. Here, we describe a method to discover these genes that permits identification of hundreds of novel candidate cancer genes in any cancer cell line. We now estimate that as much as 5% of colon cancer genes may harbor aberrant gene hypermethylation and we term these the cancer “promoter CpG island DNA hypermethylome.” Multiple mutated genes recently identified via cancer resequencing efforts are shown to be within this hypermethylome and to be more likely to undergo epigenetic inactivation than genetic alteration. Our approach allows derivation of new potential tumor biomarkers and potential pathways for therapeutic intervention. Importantly, our findings illustrate that efforts aimed at complete identification of the human cancer genome should include analyses of epigenetic, as well as genetic, changes.
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Affiliation(s)
- Kornel E Schuebel
- Cancer Biology Division, The Sidney Kimmel Comprehensive Cancer Center at Johns Hopkins, Baltimore, Maryland, United States of America
- * To whom correspondence should be addressed. E-mail: (KES); (SBB)
| | - Wei Chen
- Cancer Biology Division, The Sidney Kimmel Comprehensive Cancer Center at Johns Hopkins, Baltimore, Maryland, United States of America
- Predoctoral Training Program in Human Genetics, The Johns Hopkins University, Baltimore, Maryland, United States of America
| | - Leslie Cope
- Biometry and Clinical Trials Division, The Sidney Kimmel Comprehensive Cancer Center at Johns Hopkins, Baltimore, Maryland, United States of America
| | - Sabine C Glöckner
- Department of Surgery, The Johns Hopkins University School of Medicine, Baltimore, Maryland, United States of America
| | - Hiromu Suzuki
- First Department of Internal Medicine, Sapporo Medical University, Sapporo, Japan
| | - Joo-Mi Yi
- Cancer Biology Division, The Sidney Kimmel Comprehensive Cancer Center at Johns Hopkins, Baltimore, Maryland, United States of America
| | - Timothy A Chan
- Cancer Biology Division, The Sidney Kimmel Comprehensive Cancer Center at Johns Hopkins, Baltimore, Maryland, United States of America
| | - Leander Van Neste
- Department of Molecular Biotechnology, Faculty of Bioscience Engineering, Ghent University, Ghent, Belgium
| | | | | | - Manon van Engeland
- Department of Pathology, University of Maastricht, Maastricht, The Netherlands
| | - Angela H Ting
- Cancer Biology Division, The Sidney Kimmel Comprehensive Cancer Center at Johns Hopkins, Baltimore, Maryland, United States of America
| | - Kamwing Jair
- Bionumerik Pharmaceuticals Inc., San Antonio, Texas, United States of America
| | - Wayne Yu
- Cancer Biology Division, The Sidney Kimmel Comprehensive Cancer Center at Johns Hopkins, Baltimore, Maryland, United States of America
| | - Minoru Toyota
- First Department of Internal Medicine, Sapporo Medical University, Sapporo, Japan
| | - Kohzoh Imai
- First Department of Internal Medicine, Sapporo Medical University, Sapporo, Japan
| | - Nita Ahuja
- Department of Surgery, The Johns Hopkins University School of Medicine, Baltimore, Maryland, United States of America
| | - James G Herman
- Cancer Biology Division, The Sidney Kimmel Comprehensive Cancer Center at Johns Hopkins, Baltimore, Maryland, United States of America
| | - Stephen B Baylin
- Cancer Biology Division, The Sidney Kimmel Comprehensive Cancer Center at Johns Hopkins, Baltimore, Maryland, United States of America
- Predoctoral Training Program in Human Genetics, The Johns Hopkins University, Baltimore, Maryland, United States of America
- * To whom correspondence should be addressed. E-mail: (KES); (SBB)
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