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  • 1
    In: BioScience, Oxford University Press (OUP), ( 2024-06-19)
    Abstract: The fundamental value of universal nomenclatural systems in biology is that they enable unambiguous scientific communication. However, the stability of these systems is threatened by recent discussions asking for a fairer nomenclature, raising the possibility of bulk revision processes for “inappropriate” names. It is evident that such proposals come from very deep feelings, but we show how they can irreparably damage the foundation of biological communication and, in turn, the sciences that depend on it. There are four essential consequences of objective codes of nomenclature: universality, stability, neutrality, and transculturality. These codes provide fair and impartial guides to the principles governing biological nomenclature and allow unambiguous universal communication in biology. Accordingly, no subjective proposals should be allowed to undermine them.
    Type of Medium: Online Resource
    ISSN: 0006-3568 , 1525-3244
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    Language: English
    Publisher: Oxford University Press (OUP)
    Publication Date: 2024
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  • 2
    In: Nature, Springer Science and Business Media LLC, Vol. 621, No. 7977 ( 2023-09-07), p. E7-E26
    Type of Medium: Online Resource
    ISSN: 0028-0836 , 1476-4687
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    Language: English
    Publisher: Springer Science and Business Media LLC
    Publication Date: 2023
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  • 3
    In: Annals of Internal Medicine, American College of Physicians, Vol. 175, No. 9 ( 2022-09), p. 1266-1274
    Type of Medium: Online Resource
    ISSN: 0003-4819 , 1539-3704
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    Language: English
    Publisher: American College of Physicians
    Publication Date: 2022
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  • 4
    In: Annals of Internal Medicine, American College of Physicians, Vol. 175, No. 10 ( 2022-10), p. 1401-1410
    Type of Medium: Online Resource
    ISSN: 0003-4819 , 1539-3704
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    Language: English
    Publisher: American College of Physicians
    Publication Date: 2022
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  • 5
    In: Cancer Research, American Association for Cancer Research (AACR), Vol. 75, No. 22_Supplement_1 ( 2015-11-15), p. A1-50-A1-50
    Abstract: Human Papilloma Virus (HPV) testing is increasingly used for cervical cancer screening in conjunction with cervical cytology. Although privacy, cultural, and infrastructure issues challenge the effective implementation of HPV testing for cervical cancer screening worldwide, several countries have already implemented HPV testing in their screening protocols. There are currently no tests that can reliably identify the patients with abnormal cytology and positive oncogenic HPV results (HPV+) that need to be referred for colposcopy. A useful triage test from cytology to colposcopy must discriminate the patients with a Cervical Intraepithelial Neoplasia (CIN) lesion that are more likely to progress to cervical cancer (CIN2+), from those that are less likely to progress. We set out to identify a panel of methylated HPV and human genes that can discriminate between CIN2+ and normal/CIN1 patients, first in cytology samples and then in urine samples. The Reverse Line Blot Assay identified high-risk HPV types in study participants from a Discovery cohort (n=96): 31 women with normal cervical cytology and 65 women with dysplasia (LSIL, n=43) and (HSIL, n=22). We developed custom sequence capture pools of baits to pull down genomic (Roche SeqCap EZ) and bisulfite converted high-risk HPV DNA (Agilent SureSelect) from urine, before library prep for NGS in a Roche 454 and MiSeq instruments, respectively. We also optimzed a qPCR assay to identify high risk HPV types, and quantitative Methylation Specific PCR (qMSP) assays to examine methylated HPV and human genes, in Pap smear DNA and TrDNA samples from women with normal Pap and women with CIN1, CIN2 and CIN3 lesions (n=80). The human genes selected for the qMSP assays, ZNF516, FKBP6, and INTS1, were identified in a previously published genome-wide analysis of the cevical cancer methylome using Nimblegen 385K CpG plus Promoters oligonucleotide tiling arrays. Presence of high-risk HPV in cervical epithelium correctly classified 37% of HSIL when compared with LSIL patients, with 61% sensitivity and 22% specificity. Promoter methylation of INTS1 correctly classified 67% (31% sensitivity, 92% specificity), promoter methylation of ZNF516 correctly classified 54% (11% sensitivity, 84% specificity), promoter methylation of FKBP6 correctly classified 59% (19% sensitivity, 88% specificity), and methylation of the HPVL1 gene correctly classified 61% (22% sensitivity, 90% specificity) of HSIL patients when compared with LSIL patients. A molecular panel comprised of HPV16-L1 methylation and promoter methylation of INTS1, ZNF516 and FKBP6 correctly classified 70% of HSIL patients with an Area Under the Curve of 0.66, 44% sensitivity, 88% specificity and 72% Positive Predictive value. While HPV16-L1 methylation discriminated patients with normal cytology from women with cervical dysplasia with close to 100% sensitivity and specificity, the high-risk HPV TrDNA qPCR assay had a pre-capture and post-capture sensitivity of 79% with 50% specificity. The detection of circulating HPV DNA in urine is a cost-effective and non-invasive alternative for cervical cancer screening. We have shown that a panel of genomic and epigenomic alterations in human and high risk HPV DNA can discriminate normal from cervical dysplasia in cervical epithelium DNA and TrDNA isolated from patients seen in a high risk cervical cancer screening setting. Citation Format: Rafael Guerrero-Preston, Anne Jedlicka, Oluwasina Folawiyo, Francesca Pirini, Blanca L. Valle, Fahcina Lawson, Angelo Vergura, Gabriela Perez, Marisa Renehan, Carolina Guerrero-Díaz, Liliana Florea, Teresa Díaz-Montes, Josefina Romaguera, David Sidransky. Genomic and epigenomic alterations in human and high-risk HPV DNA can discriminate normal from cervical dysplasia patients in urine. [abstract]. In: Proceedings of the AACR Special Conference on Translation of the Cancer Genome; Feb 7-9, 2015; San Francisco, CA. Philadelphia (PA): AACR; Cancer Res 2015;75(22 Suppl 1):Abstract nr A1-50.
    Type of Medium: Online Resource
    ISSN: 0008-5472 , 1538-7445
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    Language: English
    Publisher: American Association for Cancer Research (AACR)
    Publication Date: 2015
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  • 6
    In: Cancer Epidemiology, Biomarkers & Prevention, American Association for Cancer Research (AACR), Vol. 25, No. 3_Supplement ( 2016-03-01), p. B11-B11
    Abstract: Latino women in the United States have the highest cervical cancer incidence rate, yet the highest death rate from cervical cancer is among Black women. The disproportionate burden of cervical cancer in the United States is primarily due to lack of screening, among the medically underserved, regardless of race or ethnicity. Rural and inner city women living in poverty have lower rates of screening and higher rates of cervical cancer in the US. The advent of molecular diagnostics provides an opportunity to develop novel cervical cancer screening and triage tools that can be packaged as point of care and self-testing solutions. We set out to identify a panel of methylated HPV DNA and human genes that can discriminate between CIN2+ and normal/CIN1 patients in liquid prep samples and in Transrenal DNA (TrDNA) isolated from urine. We used three independent cohorts, from Chile, Baltimore and Puerto Rico, to develop a method that can be used to triage into colposcopy, HPV+ women with abnormal cytology. Participants were women with no cervical intraepithelial lesions or malignancy and women with abnormal cervical biopsies– Cervical Intraepithelial Neoplasia (CIN), carcinoma in-situ and cervical cancer. Using DNA methylation arrays for Discovery and quantitative Methylation Specific PCR (qMSP) for Validation, we found that promoter methylation of ZNF516, FKBP6, and INST1 discriminates samples with CIN2+ lesions from samples with no intraepithelial lesions or malignancy (NILM): 88.3% sensitivity, 88.9% specificity, 93.2 Area Under the Curve (AUC), 86.9% positive predictive value (PPV) and 90.2% negative predictive value (NPV). Using custom sequence capture pools of baits, we pulled down genomic and bisulfite converted high-risk HPV DNA before library prep for NGS in 454 and MiSeq instruments, respectively. Using our NGS results, we optimized a Syber Greeen qPCR assay to detect high risk HPV DNA and a qMSP primer-probe set to detect methylated HPV. We replicated the results in liquid prep samples (n=67), adding HPV16 methylation to the panel: 90.9% sensitivity, 60.9% specificity, 90.1 (AUC), 52.6% positive predictive value (PPV) and 93.3% NPV. These results were verified in plasma DNA (AUC=80.7) and TrDNA (AUC=86.1) isolated from a subset of patients who provided the liquid prep samples. Our results suggest that our panel of viral and host gene methylation markers may be used as a reflex test in liquid prep to triage high risk HPV positive women into colposcopy, or as a screening and triage test in TrDNA, in combination with our high risk HPV test. There are several commercial co-testing options for identification of oncogenic high-risk HPV types (HPV+) in patients with abnormal cytology. However, there are currently no tests that can reliably identify the HPV+ patients with abnormal cytology that need to be referred for colposcopy. Consequently, more than half of the women that are referred to colposcopy either have a negative biopsy, or a grade 1 Cervical Intraepithelial Neoplasia (CIN1) diagnosis, which usually reverts to normal in 12-24 months. A triage test from cytology to colposcopy that can identify in the liquid prep sample those patients with a CIN grade more likely to progress to cervical cancer (CIN2+), would decrease the number of unnecessary cervical mucosa biopsies performed today, decreasing health care cost and improving the quality of health care delivery. These molecular tools can also be packaged as point of care and self-testing solutions to eliminate cervical cancer disparities in medically underserved women. Note: This abstract was not presented at the conference. Citation Format: Rafael Guerrero-Preston, Anne Jedlicka, Blanca L. Valle, Nitesh Turaga, Liliana Florea, Oluwasina Folawiyo, Francesca Pirini, Fahcina Lawson, Angelo Vergura, Maartje Noordhuis, Gabriela Perez, Marisa Renehan, Carolina Guerrero-Díaz, Edgardo De Jesus, Teresa Diaz-Montes, Bruce Trock, Keimari Mendez, Josefina Romaguera, David Sidransky. Viral and host gene methylation in liquid prep: novel molecular screening and triage tools to reduce cervical cancer disparities. [abstract] . In: Proceedings of the Eighth AACR Conference on The Science of Health Disparities in Racial/Ethnic Minorities and the Medically Underserved; Nov 13-16, 2015; Atlanta, GA. Philadelphia (PA): AACR; Cancer Epidemiol Biomarkers Prev 2016;25(3 Suppl):Abstract nr B11.
    Type of Medium: Online Resource
    ISSN: 1055-9965 , 1538-7755
    Language: English
    Publisher: American Association for Cancer Research (AACR)
    Publication Date: 2016
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  • 7
    In: Cancer Prevention Research, American Association for Cancer Research (AACR), Vol. 9, No. 12 ( 2016-12-01), p. 915-924
    Abstract: Clinically useful molecular tools to triage women for a biopsy upon referral to colposcopy are not available. We aimed to develop a molecular panel to detect cervical intraepithelial neoplasia (CIN) grade 2 or higher lesions (CIN2+) in women with abnormal cervical cytology and high-risk HPV (HPV+). We tested a biomarker panel in cervical epithelium DNA obtained from 211 women evaluated in a cervical cancer clinic in Chile from 2006 to 2008. Results were verified in a prospective cohort of 107 women evaluated in a high-risk clinic in Puerto Rico from 2013 to 2015. Promoter methylation of ZNF516, FKBP6, and INTS1 discriminated cervical brush samples with CIN2+ lesions from samples with no intraepithelial lesions or malignancy (NILM) with 90% sensitivity, 88.9% specificity, 0.94 area under the curve (AUC), 93.1% positive predictive value (PPV), and 84.2% negative predictive value (NPV). The panel results were verified in liquid-based cervical cytology samples from an independent cohort with 90.9% sensitivity, 60.9% specificity, 0.90 AUC, 52.6% PPV, and 93.3% NPV, after adding HPV16-L1 methylation to the panel. Next-generation sequencing results in HPV+ cultured cells, and urine circulating cell-free DNA (ccfDNA) were used to design assays that show clinical feasibility in a subset (n = 40) of paired plasma (AUC = 0.81) and urine (AUC = 0.86) ccfDNA samples obtained from the prospective cohort. Viral and host DNA methylation panels can be tested in liquid cytology and urine ccfDNA from women referred to colposcopy, to triage CIN2+ lesions for biopsy and inform personalized screening algorithms. Cancer Prev Res; 9(12); 915–24. ©2016 AACR.
    Type of Medium: Online Resource
    ISSN: 1940-6207 , 1940-6215
    Language: English
    Publisher: American Association for Cancer Research (AACR)
    Publication Date: 2016
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  • 8
    In: Cancer Research, American Association for Cancer Research (AACR), Vol. 76, No. 14_Supplement ( 2016-07-15), p. LB-133-LB-133
    Abstract: We set out to develp novel workflows to identify panels of methylated human papilloma virus (HPV) and human genes that can discriminate between CIN2+ and normal/CIN1 patients in liquid prep samples and in Transrenal DNA (TrDNA) isolated from urine. Using Human DNA methylation arrays and massively parallel Next Generation Sequencing (NGS) for Discovery and quantitative Methylation Specific PCR (qMSP) for validation, we found that promoter methylation of ZNF516, FKBP6, and INST1 discriminates samples with CIN2+ lesions from no intraepithelial lesions or malignancy (NILM) in cervical brush samples: 88.3% sensitivity, 88.9% specificity, 93.2 Area Under the Curve (AUC), 86.9% positive predictive value (PPV) and 90.2% negative predictive value (NPV). Using custom sequence capture pools of baits, we pulled down genomic and bisulfite converted high-risk HPV DNA before library prep for massively parallel Next Generation Sequencing (NGS) in 454 and MiSeq instruments, respectively to identify high risk HPV and the HPV methylome. Using our NGS results, we designed Syber Greeen qPCR assays to detect high risk HPV DNA in tissue and in Trans Renal DNA (TrDNA). We also designed qMSP primers-probe sets to detect methylated DNA in the HPV16-L1 gene region and ZNF516, FKBP6, and INST1 in TrDNA. TrDNA is circulating DNA that gets filtered by the kidneys and we isolate from urine as fragmented DNA ranging is size from 50 to 250 bp. We replicated the cervical brush epithelium results in liquid prep samples from another cohort, by adding HPV16-L1 methylation to the panel of methylated host genes (ZNF516, FKBP6, and INST1): 90.9% sensitivity, 60.9% specificity, AUC = 90.1, 52.6% positive predictive value (PPV) and 93.3% NPV. These results were verified in plasma DNA (AUC = 80.7) and TrDNA (AUC = 86.1) isolated from a subset of patients who provided liquid prep samples. Our results suggest that a biomarker panel that quantifies DNA methylation in the HPV-LI gene, together with promoter methylation of three host genes, ZNF516, FKBP6, and INST1, may be used as a reflex test in liquid prep to triage high-risk HPV positive women into colposcopy in countries with established cervical cancer screening programs. Our results also suggest that a panel of human and viral DNA methylation markers can be combined with a high-risk HPV DNA assay, to develop urine screening and triage tests in countries where cervical cancer screening programs are not effective due to cultural or infrastructure factors. Country specific DNA methylomes of normal and premalignant cervical epithelium for different age groups can be created as reference methylomes, to better understand the cultural-, socio-economic- and age-specific variations in the cervical epithelium and their correlation with HPV DNA methylomes. Citation Format: Rafael E. Guerrero-Preston, Blanca L. Valle, Anne Jedlicka, Nitesh Turaga, Liliana Florea, Oluwasina Folawiyo, Francesca Pirini, Angelo Vergura, Maartje Noordhuis, Gabriela Perez, Marisa Renehan, Carolina Guerrero-Díaz, Edgardo De Jesus-Rodríguez, Keimari Méndez-Martínez, José Rodríguez-Orengo, Teresa Díaz-Montes, David Sidransky, Josefina Romaguera. Triage of high risk HPV positive women before colposcopy with reflex tests in pap smears and screening of high risk HPV in Transrenal DNA isolated from urine, using novel workflows to identify panels of methylated viral and human DNA. [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 LB-133.
    Type of Medium: Online Resource
    ISSN: 0008-5472 , 1538-7445
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    Language: English
    Publisher: American Association for Cancer Research (AACR)
    Publication Date: 2016
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  • 9
    In: Nature, Springer Science and Business Media LLC, Vol. 600, No. 7889 ( 2021-12-16), p. 472-477
    Abstract: The genetic make-up of an individual contributes to the susceptibility and response to viral infection. Although environmental, clinical and social factors have a role in the chance of exposure to SARS-CoV-2 and the severity of COVID-19 1,2 , host genetics may also be important. Identifying host-specific genetic factors may reveal biological mechanisms of therapeutic relevance and clarify causal relationships of modifiable environmental risk factors for SARS-CoV-2 infection and outcomes. We formed a global network of researchers to investigate the role of human genetics in SARS-CoV-2 infection and COVID-19 severity. Here we describe the results of three genome-wide association meta-analyses that consist of up to 49,562 patients with COVID-19 from 46 studies across 19 countries. We report 13 genome-wide significant loci that are associated with SARS-CoV-2 infection or severe manifestations of COVID-19. Several of these loci correspond to previously documented associations to lung or autoimmune and inflammatory diseases 3–7 . They also represent potentially actionable mechanisms in response to infection. Mendelian randomization analyses support a causal role for smoking and body-mass index for severe COVID-19 although not for type II diabetes. The identification of novel host genetic factors associated with COVID-19 was made possible by the community of human genetics researchers coming together to prioritize the sharing of data, results, resources and analytical frameworks. This working model of international collaboration underscores what is possible for future genetic discoveries in emerging pandemics, or indeed for any complex human disease.
    Type of Medium: Online Resource
    ISSN: 0028-0836 , 1476-4687
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    Language: English
    Publisher: Springer Science and Business Media LLC
    Publication Date: 2021
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  • 10
    In: Cancer Research, American Association for Cancer Research (AACR), Vol. 70, No. 8_Supplement ( 2010-04-15), p. 2924-2924
    Abstract: Introduction: Panels of hypermethylated genes have been proposed as diagnostic markers in primary head and neck squamous cell carcinoma using a pharmacological unmasking expression microarray approach. Such experiments are performed in cancer cell lines, mostly with poor relevance when extrapolating to primary cancers. Objective: To overcome this lack of relevance we used two unbiased genome-wide DNA methylation platforms that represent 28K CpG Islands and the promoter regions of 14K-17K genes to identify hypermethylated genes in Oral Squamous Cell Carcinoma (OSCC), which also exhibited downregulated expression in the Gene Expression Omnibus (GEO) repository. Methods: DNA isolated from normal, premalignant lesions and squamous cell carcinoma lesions of the oral cavity was: a) bisulfite treated and hybridized to Infinium arrays; b) enriched with Methylated DNA Immunoprecipitation (MeDIP) and hybridized to Nimblegen 385K tiling arrays. Bioinformatics strategies were used for background correction, array normalization and data analysis of differentially methylated genomic regions between tumor and normal tissue. Genes identified as hypermethylated in cancer with methylation platforms were cross-validated against expression profiles published in the GEO public data repository. Quantitative Methylation Specific PCR (QMSP) was then used to validate candidate genes that were both, hypermethylated and downregulated in cancer. Results: The two unbiased microarray platforms were successful in identifying three novel genes hypermethylated and down regulated in OSCC: MCAM, EDNRB and CALCA. EDNRB, MCAM and CALCA expression was downregulated in HNSCC when compared to normal tissue. A twofold or higher downregulated expression was seen for EDNRB (59%) than for MCAM (55%) and CALCA (55%). The sensitivity of each gene was higher for EDNRB (82%) than for MCAM (60%) and CALCA (76%). The specificity was also higher for EDNRB (86%) than for CALCA (71%), and MCAM (57%). KIF1a had both high sensitivity (82%) and specificity (86%) but there was no expression data in HNSCC available for this gene in the GEO repository. The Receiver Characteristic Operator Curves (ROC) for individual genes revealed area under the curve values (AUC) for: EDNRB (0.88), CALCA (0.85), KIF1a (0.84), and MCAM (0.61). Methylation of three genes was found in 71% of tumor and 0% of normal tissue. Methylation of two genes was found in 82% of tumor and 29% of normal tissue. Conclusion: We successfully demonstrated that unbiased genome-wide methylation arrays paired with publicly available expression data identify panels of relevant hypermethylated genes in primary OSCC. MCAM, KIF1a, EDNRB and CALCA were identified as hypermethylated in OSSC tumor tissue, when compared to normal tissue. These results should be validated in a Phase II Biomarker Development Study. Citation Format: {Authors}. {Abstract title} [abstract]. In: Proceedings of the 101st Annual Meeting of the American Association for Cancer Research; 2010 Apr 17-21; Washington, DC. Philadelphia (PA): AACR; Cancer Res 2010;70(8 Suppl):Abstract nr 2924.
    Type of Medium: Online Resource
    ISSN: 0008-5472 , 1538-7445
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    Language: English
    Publisher: American Association for Cancer Research (AACR)
    Publication Date: 2010
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