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  • 1
    In: Diabetes Care, American Diabetes Association, Vol. 42, No. 2 ( 2019-02-01), p. 192-199
    Abstract: There are variable reports of risk of concordance for progression to islet autoantibodies and type 1 diabetes in identical twins after one twin is diagnosed. We examined development of positive autoantibodies and type 1 diabetes and the effects of genetic factors and common environment on autoantibody positivity in identical twins, nonidentical twins, and full siblings. RESEARCH DESIGN AND METHODS Subjects from the TrialNet Pathway to Prevention Study (N = 48,026) were screened from 2004 to 2015 for islet autoantibodies (GAD antibody [GADA], insulinoma-associated antigen 2 [IA-2A] , and autoantibodies against insulin [IAA]). Of these subjects, 17,226 (157 identical twins, 283 nonidentical twins, and 16,786 full siblings) were followed for autoantibody positivity or type 1 diabetes for a median of 2.1 years. RESULTS At screening, identical twins were more likely to have positive GADA, IA-2A, and IAA than nonidentical twins or full siblings (all P & lt; 0.0001). Younger age, male sex, and genetic factors were significant factors for expression of IA-2A, IAA, one or more positive autoantibodies, and two or more positive autoantibodies (all P ≤ 0.03). Initially autoantibody-positive identical twins had a 69% risk of diabetes by 3 years compared with 1.5% for initially autoantibody-negative identical twins. In nonidentical twins, type 1 diabetes risk by 3 years was 72% for initially multiple autoantibody–positive, 13% for single autoantibody–positive, and 0% for initially autoantibody-negative nonidentical twins. Full siblings had a 3-year type 1 diabetes risk of 47% for multiple autoantibody–positive, 12% for single autoantibody–positive, and 0.5% for initially autoantibody-negative subjects. CONCLUSIONS Risk of type 1 diabetes at 3 years is high for initially multiple and single autoantibody–positive identical twins and multiple autoantibody–positive nonidentical twins. Genetic predisposition, age, and male sex are significant risk factors for development of positive autoantibodies in twins.
    Type of Medium: Online Resource
    ISSN: 0149-5992 , 1935-5548
    Language: English
    Publisher: American Diabetes Association
    Publication Date: 2019
    detail.hit.zdb_id: 1490520-6
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  • 2
    In: Journal of Clinical Oncology, American Society of Clinical Oncology (ASCO), Vol. 40, No. 29 ( 2022-10-10), p. 3377-3382
    Abstract: Clinical trials frequently include multiple end points that mature at different times. The initial report, typically based on the primary end point, may be published when key planned co‐primary or secondary analyses are not yet available. Clinical Trial Updates provide an opportunity to disseminate additional results from studies, published in JCO or elsewhere, for which the primary end point has already been reported. The initial STOMP and ORIOLE trial reports suggested that metastasis-directed therapy (MDT) in oligometastatic castration-sensitive prostate cancer (omCSPC) was associated with improved treatment outcomes. Here, we present long-term outcomes of MDT in omCSPC by pooling STOMP and ORIOLE and assess the ability of a high-risk mutational signature to risk stratify outcomes after MDT. The primary end point was progression-free survival (PFS) calculated using the Kaplan-Meier method. High-risk mutations were defined as pathogenic somatic mutations within ATM, BRCA1/ 2, Rb1, or TP53. The median follow-up for the whole group was 52.5 months. Median PFS was prolonged with MDT compared with observation (pooled hazard ratio [HR], 0.44; 95% CI, 0.29 to 0.66; P value 〈 .001), with the largest benefit of MDT in patients with a high-risk mutation (HR high-risk, 0.05; HR no high-risk, 0.42; P value for interaction: .12). Within the MDT cohort, the PFS was 13.4 months in those without a high-risk mutation, compared with 7.5 months in those with a high-risk mutation (HR, 0.53; 95% CI, 0.25 to 1.11; P = .09). Long-term outcomes from the only two randomized trials in omCSPC suggest a sustained clinical benefit to MDT over observation. A high-risk mutational signature may help risk stratify treatment outcomes after MDT.
    Type of Medium: Online Resource
    ISSN: 0732-183X , 1527-7755
    RVK:
    RVK:
    Language: English
    Publisher: American Society of Clinical Oncology (ASCO)
    Publication Date: 2022
    detail.hit.zdb_id: 2005181-5
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  • 3
    In: Metabolites, MDPI AG, Vol. 13, No. 8 ( 2023-07-30), p. 899-
    Abstract: Obesity in children and adolescents has increased globally. Increased body mass index (BMI) during adolescence carries significant long-term adverse health outcomes, including chronic diseases such as cardiovascular disease, stroke, diabetes, and cancer. Little is known about the metabolic consequences of changes in BMI in adolescents outside of typical clinical parameters. Here, we used untargeted metabolomics to assess changing BMI in male adolescents. Untargeted metabolomic profiling was performed on urine samples from 360 adolescents using UPLC–QTOF-MS. The study includes a baseline of 235 subjects in a discovery set and 125 subjects in a validation set. Of them, a follow-up of 81 subjects (1 year later) as a replication set was studied. Linear regression analysis models were used to estimate the associations of metabolic features with BMI z-score in the discovery and validation sets, after adjusting for age, race, and total energy intake (kcal) at false-discovery-rate correction (FDR) ≤ 0.1. We identified 221 and 16 significant metabolic features in the discovery and in the validation set, respectively. The metabolites associated with BMI z-score in validation sets are glycylproline, citrulline, 4-vinylsyringol, 3′-sialyllactose, estrone sulfate, carnosine, formiminoglutamic acid, 4-hydroxyproline, hydroxyprolyl-asparagine, 2-hexenoylcarnitine, L-glutamine, inosine, N-(2-Hydroxyphenyl) acetamide glucuronide, and galactosylhydroxylysine. Of those 16 features, 9 significant metabolic features were associated with a positive change in BMI in the replication set 1 year later. Histidine and arginine metabolism were the most affected metabolic pathways. Our findings suggest that obesity and its metabolic outcomes in the urine metabolome of children are linked to altered amino acids, lipid, and carbohydrate metabolism. These identified metabolites may serve as biomarkers and aid in the investigation of obesity’s underlying pathological mechanisms. Whether these features are associated with the development of obesity, or a consequence of changing BMI, requires further study.
    Type of Medium: Online Resource
    ISSN: 2218-1989
    Language: English
    Publisher: MDPI AG
    Publication Date: 2023
    detail.hit.zdb_id: 2662251-8
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  • 4
    In: EBioMedicine, Elsevier BV, Vol. 60 ( 2020-10), p. 102982-
    Type of Medium: Online Resource
    ISSN: 2352-3964
    Language: English
    Publisher: Elsevier BV
    Publication Date: 2020
    detail.hit.zdb_id: 2799017-5
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  • 5
    In: Carcinogenesis, Oxford University Press (OUP), Vol. 37, No. 5 ( 2016-05), p. 471-480
    Type of Medium: Online Resource
    ISSN: 0143-3334 , 1460-2180
    Language: English
    Publisher: Oxford University Press (OUP)
    Publication Date: 2016
    detail.hit.zdb_id: 1474206-8
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  • 6
    In: Oncotarget, Impact Journals, LLC, Vol. 8, No. 70 ( 2017-12-29), p. 114648-114662
    Type of Medium: Online Resource
    ISSN: 1949-2553
    URL: Issue
    Language: English
    Publisher: Impact Journals, LLC
    Publication Date: 2017
    detail.hit.zdb_id: 2560162-3
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  • 7
    In: Cancer Research, American Association for Cancer Research (AACR), Vol. 76, No. 14_Supplement ( 2016-07-15), p. 2777-2777
    Abstract: Altered DNA methylation is an early event in carcinogenesis. Little is known about the mechanism of altered methylation in breast tissue; possible factors include diet such as alcohol and folate intake, and genetic variation for enzymes in one carbon metabolism. Examination of the association of these factors with methylation in breast tissues from healthy women provides insight into these changes. Blood and glandular breast tissues from 81 women with no history of cancer and who underwent reduction mammoplasty were assayed. The 96-plex Illumina BeadXpress® or TaqMan® SNP Genotyping assays assessed SNPs, genome-wide DNA methylation profiling was performed using the Illumina Infinium HumanMethylation450 BeadChip.The Affymetrix GeneChip Human Trascriptome Array 2.0 was used to compare gene expression level with methylation change in fresh frozen breast tissues. Biological networks of differentially-methylated (DM) genes were assigned using the Ingenuity Pathway Analysis (IPA). Fifty-seven CpG sites were DM in comparisons of genotype for eight SNPs in FTHFD, MTHFD1, MTHFR, MTR, MTRR, and TYMS (P & lt;5.0 × 10-5 for each). SNPs in FTHFD were associated with 56% of the DM CpGs. SNPs in FTHFD and MTR were associated with DM CpG sites in their own genes. Six methylation and gene expression pairs were modestly to weakly correlated (P & lt;0.05), five positively correlated (HCN4, FRMD4A, FTHFD, SLC39A7, and LOC63930) and one negatively correlated (ADAMTS14). Four DM CpGs identified by SNPs in MTRR, MTHFR, and FTHFD were significantly associated with alcohol consumption and/or breast folate. Forty-five DM genes were available in the IPA database. IPA revealed enrichment for genes (91%) involved in cancers. The top-scoring network was “Energy Production, Molecular Transportation, Nucleic Acid Metabolism” (score = 32). The top molecular and cellular functions were Amino Acid Metabolism (ALDH1L1, MTR, and PTPRN2), Cell-to-Cell Signaling (DLG3, GRN, HLA-DQB1, PTPRN2, and SLC6A3), Cellular Function and Maintenance (ADAMTS14, ADMTS2, CRIPT, DCL1, DLG3, GRN, KAG2, PTPRN2, and RXRB). High concordance of methylation levels for all DM loci analyzed was found between HM450 and pyrosequencing on 75 technically validated samples (Spearman correlation r = 0.98, P & lt;1.0×10-47). This is the first comprehensive study of the association between variation in one-carbon metabolism genes and genome-wide DNA methylation in histologically normal breast tissues. These SNPs, particularly FTHFD, as well as alcohol intake and folate exposure appear to affect DNA methylation in the breast of healthy women. The finding that SNPs in FTHFD and MTR are associated with their own methylation is also novel and highlights a role for these SNPs as methylation quantitative trait loci. Understanding of the role of one carbon metabolism in altered DNA methylation could provide insight into prevention of breast tumors. Citation Format: Min-Ae Song, Theodore M. Brasky, Catalin Marian, Daniel Y. Weng, Cenny Taslim, Adana A. Llanos, Ramona G. Dumitrescu, Zhenhua Liu, Joel B. Mason, Bhaskar V. Kallakury, Jo L. Freudenheim, Peter G. Shields. One-carbon metabolism genetic variant and genome-wide DNA methylation in breast tissues from healthy women. [abstract]. In: Proceedings of the 107th Annual Meeting of the American Association for Cancer Research; 2016 Apr 16-20; New Orleans, LA. Philadelphia (PA): AACR; Cancer Res 2016;76(14 Suppl):Abstract nr 2777.
    Type of Medium: Online Resource
    ISSN: 0008-5472 , 1538-7445
    RVK:
    RVK:
    Language: English
    Publisher: American Association for Cancer Research (AACR)
    Publication Date: 2016
    detail.hit.zdb_id: 2036785-5
    detail.hit.zdb_id: 1432-1
    detail.hit.zdb_id: 410466-3
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  • 8
    In: Cancer Research, American Association for Cancer Research (AACR), Vol. 81, No. 13_Supplement ( 2021-07-01), p. 751-751
    Abstract: Background: Electronic cigarettes (e-cigs) are one of the most popular tobacco products in the US. Little is known regarding their pulmonary effects. E-cigs induce similar oxidant reactivity as cigarette smoke and promote oxidative damage/inflammation in airway cells. Given that mtDNA is more prone to oxidative stress than nuclear DNA because of a less effective proofreading system, mtDNA alterations may be important indicators of e-cigs' toxic effects. Clinically, mitochondrial DNA alteration is an emerging biomarker of respiratory diseases. Methods: We compared mtDNA copy number (mtDNA-CN) from lung brushings in a cross-sectional bronchoscopy study of healthy young adults, e-cig users (EC)(n=15), non-smokers, non-EC users (NS)(n=43), and smokers (SM)(n=26). We examined associations of mtDNA-CN with immune response (differential cell counts and cytokines in bronchoalveolar lavage), DNA methylation and gene expression brushings. Associations for: 1) EC vs NS vs SM, and 2) tobacco product users (EC+SM) vs NS for MtDNA-CN with immune response, methylation, and expression were made using linear regression. Further, significant features by group interactions were followed up by within-group tests. False Discovery Rate (FDR) at 0.1 was considered significant. Ingenuity pathway analysis was used to identify the most significantly enriched pathways/molecular functions/diseases. Results: MtDNA-CN was not significantly different among the three groups (P=0.06). MtDNA-CN was higher in SM than NS (P=0.02), and in tobacco product users than NS (P=0.02); EC mtDNA-CN tended to be intermediate between the 2 other groups. There were significantly positive associations of IL-2 and IL-4 with mtDNA-CN in EC, but not in SM or NS (Interaction FDR=0.06 for both). We found 147 transcripts (60 genes) and 1,153 CpGs (713 genes) to be significantly associated with mtDNA-CN in all three groups. The most common canonical pathway of the signatures for both expression and methylation were immune responses. The top molecular and cellular functions for both included cell death and survival. Ten transcripts (LINC01184, SNU13, RPL35A, COLCA1, HLA-DRB1, LOC105379655, TRIM9, TCIRG1, CLPB, MIR2114) and 3,929 CpGs (top: ULK4, STARD13, HLCS, FLT1, TMEM91, CYP2J2) were associated with mtDNA-CN in E-cig users only. Some of these genes are known to play a role in lung diseases, including cancer. For the signatures associated in all groups, we found many more significant signatures (236 vs 147 transcripts and 40,830 vs 1,153 CpGs) in the two group vs. three group comparisons, respectively. Conclusion: While the sample size was small, this study is the first to suggest that mtDNA-CN is a site of pulmonary toxic effects. We found associations of mtDNA-CN with inflammatory markers among EC users, and with a number of biological signatures, particularly genes related to immune response, in the lungs of EC, SM, and NS, but differently by groups for some. Citation Format: Kellie M. Mori, Joseph P. McElroy, Daniel Y. Weng, Sangwoon Chung, Sarah A. Reisinger, Kevin L. Ying, Quentin A. Nickerson, Theodore M. Brasky, Mark D. Wewers, Jo L. Freudenheim, Peter G. Shields, Min-Ae Song. Lung mitochondrial DNA copy number variations: E-cig users, smokers, and never-smokers [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2021; 2021 Apr 10-15 and May 17-21. Philadelphia (PA): AACR; Cancer Res 2021;81(13_Suppl):Abstract nr 751.
    Type of Medium: Online Resource
    ISSN: 0008-5472 , 1538-7445
    RVK:
    RVK:
    Language: English
    Publisher: American Association for Cancer Research (AACR)
    Publication Date: 2021
    detail.hit.zdb_id: 2036785-5
    detail.hit.zdb_id: 1432-1
    detail.hit.zdb_id: 410466-3
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  • 9
    In: Cancer Research, American Association for Cancer Research (AACR), Vol. 75, No. 15_Supplement ( 2015-08-01), p. 3971-3971
    Abstract: Introduction: Small non-coding microRNAs (miRNAs) play important roles in both normal breast development and breast carcinogenesis. The goal of this study is to identify miRNAs in normal breast tissues which are related to breast cancer risk. Materials and Methods: We used a high-throughput digital counting of miRNAs without amplification (Nanostring®) to examine miRNA expression in 161 reduction mammoplasty (RM) tissues from two independent studies. A multivariate model was used to identify miRNAs associated with breast cancer risk (based upon Gail risk scores) in a training study (n = 90) then the model was validated in a replication study (n = 71). Risk-related microRNAs were then evaluated in serum for associations with real breast cancer cases using publically available prospective cohort (Sister Study, n = 410). Results: We identified a 41-miRNA signature in healthy women distinguishing high risk from low risk women with a prediction accuracy of 82% (95% CI = 80% to 87%) in the training study. Predictive accuracy was 69% (95% CI = 65% to 73%) in the replication study. 34 of 41 serum miRNAs that mapped to public data predicted women who developed breast cancer within 18 months after blood draw from those who remained cancer free with accuracy of 59% (95% CI = 57% to 61%). We have also shown that these accuracies were significantly higher than random chance (P & lt; 0.0001). IPA canonical pathway analysis revealed that the risk-related microRNAs targets were significantly enriched for HER-2 signaling in breast cancer, and estrogen-dependent breast cancer signaling, and other important cancer pathways such as molecular mechanisms of cancer, PI3K/AKT signaling, PTEN signaling, and TGF-beta signaling. Conclusion: Our results indicate that miRNA profiling from breast tissue of healthy patients may identify clinically useful predictors of breast cancer risk and these miRNAs may also work as non-invasive biomarker for early breast cancer prediction. Citation Format: Cenny Taslim, Daniel Y. Weng, Theodore M. Brasky, Ramona G. Dumitrescu, Kun Huang, Bhaskar V. s. Kallakury, Shiva Krishnan, Adana A. Llanos, Catalin Marian, Sallie S. Schneider, Scott L. Spear, Melissa A. Troester, Jo L. Freudenheim, Susan Geyer, Peter G. Shields. Genome-wide tissue-based microRNA signature in healthy women predicting breast cancer risk. [abstract]. In: Proceedings of the 106th Annual Meeting of the American Association for Cancer Research; 2015 Apr 18-22; Philadelphia, PA. Philadelphia (PA): AACR; Cancer Res 2015;75(15 Suppl):Abstract nr 3971. doi:10.1158/1538-7445.AM2015-3971
    Type of Medium: Online Resource
    ISSN: 0008-5472 , 1538-7445
    RVK:
    RVK:
    Language: English
    Publisher: American Association for Cancer Research (AACR)
    Publication Date: 2015
    detail.hit.zdb_id: 2036785-5
    detail.hit.zdb_id: 1432-1
    detail.hit.zdb_id: 410466-3
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  • 10
    In: Cancer Research, American Association for Cancer Research (AACR), Vol. 80, No. 8_Supplement ( 2020-04-15), p. A34-A34
    Abstract: Background: Little is known about the microbiomes of the lung and oral cavity with electronic cigarette (e-cig) use and how they compare to those of smokers and never-smokers. E-cigs have been promoted as a safe alternative to smoking cigarettes. Given the recent outbreak of E-cigarette or Vaping product use Associated Lung Injury (EVALI), there is an urgent need for understanding the biologic effects of e-cig use on the lung and oral cavity, including effects on the microbiome. Previous studies have been limited to 16S-rRNA sequencing, which was used to detect bacteria genera. In this study, we used metatranscriptome profiling to study differentially abundant bacteria species in the oral and lung microbiome of never-smokers, smokers, and e-cig users. Methods: A cross-sectional study of 10 never-smokers, 8 cigarette smokers, and 10 e-cig users was conducted, with saliva and bronchoalveolar lavage (BAL) collected for each study participant. RNA was extracted from saliva and BAL samples for total transcriptome RNA-seq analysis. Sequences were aligned with bowtie2 v.2.2.8 to the human genome (hg19) and nonaligned reads were aligned and annotated using NCBI metagenomes database and Kraken v.1. Differences in the microbiome by smoking status were determined by pairwise comparisons using limma-voom with FDR q-value cutoffs & lt;0.2. Results: The distribution of richness and evenness of bacterial communities measured by Shannon diversity in our metatranscriptome data did not significantly differ between the three smoking status groups. When comparing levels of bacteria species between groups in the saliva, 234 were differentially abundant between smokers and never-smokers, and 39 were differentially abundant between smokers and e-cig users. In the lung, 87 bacterial species were differentially abundant between smokers and never-smokers and 36 were differentially abundant between smokers and e-cig users. Notably, no bacteria species were differentially abundant when comparing e-cig users and never-smokers in both the saliva and lung samples. There are 50 bacterial species found to be differentially abundant in both the lung and saliva samples, 47 of which are decreased in smokers. These 47 bacteria species included common commensal oral microbiome species such as Haemophilus parainfluenzae, Capnocytophaga gingivalis, and Neisseria species. The 3 species that were increased in smokers were Lactobacillus species. Conclusion: Our findings suggests that smoking cigarettes may alter populations of common commensal species in both the oral and lung microbiome. The lack of differentially abundant bacterial species between electronic cigarette users and never-smokers indicates that e-cigs may alter bacterial species to a lesser extent than smoking. Citation Format: Kevin L. Ying, Min-Ae Song, Daniel Y. Weng, Quentin A. Nickerson, Joseph P. McElroy, Theodore M. Brasky, Noah B. Whiteman, Mark D. Wewers, Jo L. Freudenheim, Ewy A. Mathe, Peter G. Shields. Lung and salivary microbiome in electronic cigarette users, never-smokers, and smokers: A pilot cross-sectional study [abstract]. In: Proceedings of the AACR Special Conference on the Microbiome, Viruses, and Cancer; 2020 Feb 21-24; Orlando, FL. Philadelphia (PA): AACR; Cancer Res 2020;80(8 Suppl):Abstract nr A34.
    Type of Medium: Online Resource
    ISSN: 0008-5472 , 1538-7445
    RVK:
    RVK:
    Language: English
    Publisher: American Association for Cancer Research (AACR)
    Publication Date: 2020
    detail.hit.zdb_id: 2036785-5
    detail.hit.zdb_id: 1432-1
    detail.hit.zdb_id: 410466-3
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