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  • 1
    In: eBioMedicine, Elsevier BV, Vol. 96 ( 2023-10), p. 104799-
    Type of Medium: Online Resource
    ISSN: 2352-3964
    Language: English
    Publisher: Elsevier BV
    Publication Date: 2023
    detail.hit.zdb_id: 2799017-5
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  • 2
    In: JAMA Network Open, American Medical Association (AMA), Vol. 6, No. 7 ( 2023-07-13), p. e2323349-
    Abstract: Current data identifying COVID-19 risk factors lack standardized outcomes and insufficiently control for confounders. Objective To identify risk factors associated with COVID-19, severe COVID-19, and SARS-CoV-2 infection. Design, Setting, and Participants This secondary cross-protocol analysis included 4 multicenter, international, randomized, blinded, placebo-controlled, COVID-19 vaccine efficacy trials with harmonized protocols established by the COVID-19 Prevention Network. Individual-level data from participants randomized to receive placebo within each trial were combined and analyzed. Enrollment began July 2020 and the last data cutoff was in July 2021. Participants included adults in stable health, at risk for SARS-CoV-2, and assigned to the placebo group within each vaccine trial. Data were analyzed from April 2022 to February 2023. Exposures Comorbid conditions, demographic factors, and SARS-CoV-2 exposure risk at the time of enrollment. Main Outcomes and Measures Coprimary outcomes were COVID-19 and severe COVID-19. Multivariate Cox proportional regression models estimated adjusted hazard ratios (aHRs) and 95% CIs for baseline covariates, accounting for trial, region, and calendar time. Secondary outcomes included severe COVID-19 among people with COVID-19, subclinical SARS-CoV-2 infection, and SARS-CoV-2 infection. Results A total of 57 692 participants (median [range] age, 51 [18-95] years; 11 720 participants [20.3%] aged ≥65 years; 31 058 participants [53.8%] assigned male at birth) were included. The analysis population included 3270 American Indian or Alaska Native participants (5.7%), 7849 Black or African American participants (13.6%), 17 678 Hispanic or Latino participants (30.6%), and 40 745 White participants (70.6%). Annualized incidence was 13.9% (95% CI, 13.3%-14.4%) for COVID-19 and 2.0% (95% CI, 1.8%-2.2%) for severe COVID-19. Factors associated with increased rates of COVID-19 included workplace exposure (high vs low: aHR, 1.35 [95% CI, 1.16-1.58]; medium vs low: aHR, 1.41 [95% CI, 1.21-1.65] ; P   & amp;lt; .001) and living condition risk (very high vs low risk: aHR, 1.41 [95% CI, 1.21-1.66]; medium vs low risk: aHR, 1.19 [95% CI, 1.08-1.32] ; P   & amp;lt; .001). Factors associated with decreased rates of COVID-19 included previous SARS-CoV-2 infection (aHR, 0.13 [95% CI, 0.09-0.19]; P   & amp;lt; .001), age 65 years or older (aHR vs age & amp;lt;65 years, 0.57 [95% CI, 0.50-0.64]; P   & amp;lt; .001) and Black or African American race (aHR vs White race, 0.78 [95% CI, 0.67-0.91]; P  = .002). Factors associated with increased rates of severe COVID-19 included race (American Indian or Alaska Native vs White: aHR, 2.61 [95% CI, 1.85-3.69]; multiracial vs White: aHR, 2.19 [95% CI, 1.50-3.20] ; P   & amp;lt; .001), diabetes (aHR, 1.54 [95% CI, 1.14-2.08]; P  = .005) and at least 2 comorbidities (aHR vs none, 1.39 [95% CI, 1.09-1.76]; P  = .008). In analyses restricted to participants who contracted COVID-19, increased severe COVID-19 rates were associated with age 65 years or older (aHR vs & amp;lt;65 years, 1.75 [95% CI, 1.32-2.31]; P   & amp;lt; .001), race (American Indian or Alaska Native vs White: aHR, 1.98 [95% CI, 1.38-2.83]; Black or African American vs White: aHR, 1.49 [95% CI, 1.03-2.14] ; multiracial: aHR, 1.81 [95% CI, 1.21-2.69]; overall P  = .001), body mass index (aHR per 1-unit increase, 1.03 [95% CI, 1.01-1.04]; P  = .001), and diabetes (aHR, 1.85 [95% CI, 1.37-2.49]; P   & amp;lt; .001). Previous SARS-CoV-2 infection was associated with decreased severe COVID-19 rates (aHR, 0.04 [95% CI, 0.01-0.14]; P   & amp;lt; .001). Conclusions and Relevance In this secondary cross-protocol analysis of 4 randomized clinical trials, exposure and demographic factors had the strongest associations with outcomes; results could inform mitigation strategies for SARS-CoV-2 and viruses with comparable epidemiological characteristics.
    Type of Medium: Online Resource
    ISSN: 2574-3805
    Language: English
    Publisher: American Medical Association (AMA)
    Publication Date: 2023
    detail.hit.zdb_id: 2931249-8
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  • 3
    In: BMC Medical Education, Springer Science and Business Media LLC, Vol. 23, No. 1 ( 2023-10-03)
    Abstract: Entrustable Professional Activities (EPA) and competencies represent components of a competency-based education framework. EPAs are assessed based on the level of supervision (LOS) necessary to perform the activity safely and effectively. The broad competencies, broken down into narrower subcompetencies, are assessed using milestones, observable behaviors of one’s abilities along a developmental spectrum. Integration of the two methods, accomplished by mapping the most relevant subcompetencies to each EPA, may provide a cross check between the two forms of assessment and uncover those subcompetencies that have the greatest influence on the EPA assessment. Objectives We hypothesized that 1) there would be a strong correlation between EPA LOS ratings with the milestone levels for the subcompetencies mapped to the EPA; 2) some subcompetencies would be more critical in determining entrustment decisions than others, and 3) the correlation would be weaker if the analysis included only milestones reported to the Accreditation Council for Graduate Medical Education (ACGME). Methods In fall 2014 and spring 2015, the Subspecialty Pediatrics Investigator Network asked Clinical Competency Committees to assign milestone levels to each trainee enrolled in a pediatric fellowship for all subcompetencies mapped to 6 Common Pediatric Subspecialty EPAs as well as provide a rating for each EPA based upon a 5-point LOS scale. Results One-thousand forty fellows were assessed in fall and 1048 in spring, representing about 27% of all fellows. For each EPA and in both periods, the average milestone level was highly correlated with LOS (rho range 0.59–0.74; p   〈  0.001). Correlations were similar when using a weighted versus unweighted milestone score or using only the ACGME reported milestones ( p   〉  0.05). Conclusions We found a strong relationship between milestone level and EPA LOS rating but no difference if the subcompetencies were weighted, or if only milestones reported to the ACGME were used. Our results suggest that representative behaviors needed to effectively perform the EPA, such as key subcompetencies and milestones, allow for future language adaptations while still supporting the current model of assessment. In addition, these data provide additional validity evidence for using these complementary tools in building a program of assessment.
    Type of Medium: Online Resource
    ISSN: 1472-6920
    Language: English
    Publisher: Springer Science and Business Media LLC
    Publication Date: 2023
    detail.hit.zdb_id: 2044473-4
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  • 4
    In: Breast Cancer Research, Springer Science and Business Media LLC, Vol. 11, No. 2 ( 2009-4)
    Type of Medium: Online Resource
    ISSN: 1465-542X
    Language: English
    Publisher: Springer Science and Business Media LLC
    Publication Date: 2009
    detail.hit.zdb_id: 2041618-0
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  • 5
    In: Acta Oncologica, Informa UK Limited, Vol. 49, No. 3 ( 2010-01), p. 305-312
    Type of Medium: Online Resource
    ISSN: 0284-186X , 1651-226X
    Language: English
    Publisher: Informa UK Limited
    Publication Date: 2010
    detail.hit.zdb_id: 1492623-4
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  • 6
    In: Journal of Clinical Oncology, American Society of Clinical Oncology (ASCO), Vol. 23, No. 34 ( 2005-12-01), p. 8613-8619
    Abstract: Normal-appearing breast epithelium can contain genetic abnormalities, including allele imbalance (AI), also referred to as loss of heterozygosity. Whether abnormalities are associated with cancer or cancer risk is unknown. Patients and Methods We performed a miniallelotype, using 20 microsatellites, on each of 460 histologically normal, microdissected breast terminal ducto-lobular units (TDLUs) from three groups of women: sporadic breast cancer patients (SP; n = 18), BRCA1 gene mutation carriers (BRCA1; n = 16), and controls undergoing reduction mammoplasty (RM; n = 18). We analyzed the results using Fisher's exact tests, logistic regression, and generalized estimating equations. Results AI was increased three-fold in SP and BRCA1 groups compared with RM. Both the number of TDLUs with AI increased (eight [5%] of 162 in the RM group compared with 24 [15%] of 162 in the SP and 22 [16%] of 136 in the BRCA1 groups; P = .0150), and the proportion of patients with AI increased (five [28%] of 18 in the RM group compared with 15 [83%] of 18 in the SP and 13 [81%] of 16 in the BRCA1 groups; P = .0007). The adjusted odds ratios (OR) for AI in TDLU increased in SP (OR = 15.5) and BRCA1 (OR = 13.7) patients compared with RM (P = .0025). This result was particularly evident on chromosome 17q (P = .0393), where more AI was seen in BRCA1 (OR = 12.4) than in SP (OR = 4.9) patients or RM controls. Conclusion Increased prevalence of AI in normal-appearing epithelium is associated with breast cancer and increased breast cancer risk. The increased prevalence may reflect dysregulation, even in normal-appearing epithelium, of genomic processes contributing to cancer development. The clinical significance of genetic alterations in the subset of controls remains to be determined.
    Type of Medium: Online Resource
    ISSN: 0732-183X , 1527-7755
    RVK:
    RVK:
    Language: English
    Publisher: American Society of Clinical Oncology (ASCO)
    Publication Date: 2005
    detail.hit.zdb_id: 2005181-5
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  • 7
    In: Cancer Epidemiology, Biomarkers & Prevention, American Association for Cancer Research (AACR), Vol. 20, No. 9 ( 2011-09-01), p. 1937-1943
    Abstract: Background: Tamoxifen is oxidized by cytochrome-P450 enzymes (e.g., CYP2D6) to two active metabolites, which are eliminated via glucuronidation by UDP-glucuronosyl transferases (UGT). We measured the association between functional polymorphisms in key UGTs (UGT2B15*2, UGT2B7*2, and UGT1A8*3) and the recurrence rate among breast cancer survivors. Methods: We used the Danish Breast Cancer Cooperative Group registry to identify 541 cases of recurrent breast cancer among women with estrogen receptor-positive tumors treated with tamoxifen for at least 1 year (ER+/TAM+), and 300 cases of recurrent breast cancer among women with estrogen receptor-negative tumors who were not treated with tamoxifen (ER−/TAM−). We matched one control to each case on ER status, menopausal status, stage, calendar period, and county. UGT polymorphisms were genotyped from archived primary tumors. We estimated the recurrence OR for the UGT polymorphisms by using logistic regression models, with and without stratification on CYP2D6*4 genotype. Results: No UGT polymorphism was associated with breast cancer recurrence in either the ER+/TAM+ or ER−/TAM− groups [in the ER+/TAM+ group, compared with two normal alleles: adjusted OR for two UGT2B15*2 variant alleles = 1.0 (95% CI, 0.70–1.5); adjusted OR for two UGT2B7*2 variant alleles = 0.96 (95% CI, 0.65–1.4); adjusted OR for one or two UGT1A8*3 variant alleles = 0.95 (0.49–1.9)]. Associations were similar within strata of CYP2D6*4 genotype. Conclusions: Functional polymorphisms in key tamoxifen-metabolizing enzymes were not associated with breast cancer recurrence risk. Impact: Our results do not support the genotyping of key metabolic enzyme polymorphisms to predict response to tamoxifen therapy. Cancer Epidemiol Biomarkers Prev; 20(9); 1937–43. ©2011 AACR.
    Type of Medium: Online Resource
    ISSN: 1055-9965 , 1538-7755
    Language: English
    Publisher: American Association for Cancer Research (AACR)
    Publication Date: 2011
    detail.hit.zdb_id: 2036781-8
    detail.hit.zdb_id: 1153420-5
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  • 8
    Online Resource
    Online Resource
    American Society of Clinical Oncology (ASCO) ; 2004
    In:  Journal of Clinical Oncology Vol. 22, No. 10 ( 2004-05-15), p. 1830-1838
    In: Journal of Clinical Oncology, American Society of Clinical Oncology (ASCO), Vol. 22, No. 10 ( 2004-05-15), p. 1830-1838
    Abstract: Approximately 10% of women with breast cancer develop a second breast tumor, either a new primary or a recurrence. Differentiating between these entities using standard clinical and pathologic criteria remains challenging. Ambiguous cases arise, and misclassifications may occur. We investigated whether quantitative DNA fingerprinting, based on allele imbalance (AI) or loss of heterozygosity (LOH), could evaluate clonality and distinguish second primary breast cancer from recurrence. Methods We developed a scoring system based on the AI/LOH fingerprints of 20 independent breast tumors and generated a decision rule to classify any breast tumor pair as related or unrelated. We validated this approach on eight related tumors (cancers and synchronous positive lymph nodes). Finally, we analyzed paired tumors from 13 women (bilateral cancers, primary tumors and contralateral positive axillary lymph nodes, or two ipsilateral tumors). Each pair's genetic classification was compared with their clinical diagnosis and outcome. Results Each independent cancer had a unique fingerprint. Every tumor pair's relationship was quantifiable. Six of eight related tumor pairs were genetically classified correctly, two were indeterminate, and none were misclassified. Among the 13 women with two cancers, four of five clinically indeterminate pairs could be classified genetically. In three of 13 women, the pair's classification contradicted the clinical diagnosis. These women had bilateral cancers genetically classified as related and disease progression. This challenges the paradigm that bilateral cancers represent independent tumors. Overall, women with tumors genetically classified as related had poorer outcomes. Conclusion Quantitative AI/LOH fingerprinting is a potentially valuable tool to improve diagnosis and optimize treatment for the growing number of second breast malignancies.
    Type of Medium: Online Resource
    ISSN: 0732-183X , 1527-7755
    RVK:
    RVK:
    Language: English
    Publisher: American Society of Clinical Oncology (ASCO)
    Publication Date: 2004
    detail.hit.zdb_id: 2005181-5
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  • 9
    In: BMC Cancer, Springer Science and Business Media LLC, Vol. 8, No. 1 ( 2008-12)
    Abstract: CDKN1C (also known as p57 KIP2 ) is a cyclin-dependent kinase inhibitor previously implicated in several types of human cancer. Its family members (CDKN1A/p21 CIP1 and B/p27 KIP1 ) have been implicated in breast cancer, but information about CDKN1C's role is limited. We hypothesized that decreased CDKN1C may be involved in human breast carcinogenesis in vivo . Methods We determined rates of allele imbalance or loss of heterozygosity (AI/LOH) in CDKN1C , using an intronic polymorphism, and in the surrounding 11p15.5 region in 82 breast cancers. We examined the CDKN1C mRNA level in 10 cancers using quantitative real-time PCR (qPCR), and the CDKN1C protein level in 20 cancers using immunohistochemistry (IHC). All samples were obtained using laser microdissection. Data were analyzed using standard statistical tests. Results AI/LOH at 11p15.5 occurred in 28/73 (38%) informative cancers, but CDKN1C itself underwent AI/LOH in only 3/16 (19%) cancers (p = ns). In contrast, CDKN1C mRNA levels were reduced in 9/10 (90%) cancers (p 〈 0.0001), ranging from 2–60% of paired normal epithelium. Similarly, CDKN1C protein staining was seen in 19/20 (95%) cases' normal epithelium but in only 7/14 (50%) cases' CIS (p 〈 0.004) and 5/18 (28%) cases' IC (p 〈 0.00003). The reduction appears primarily due to loss of CDKN1C expression from myoepithelial layer cells, which stained intensely in 17/20 (85%) normal lobules, but in 0/14 (0%) CIS (p 〈 0.00001). In contrast, luminal cells displayed less intense, focal staining fairly consistently across histologies. Decreased CDKN1C was not clearly associated with tumor grade, histology, ER, PR or HER2 status. Conclusion CDKN1C is expressed in normal epithelium of most breast cancer cases, mainly in the myothepithelial layer. This expression decreases, at both the mRNA and protein level, in the large majority of breast cancers, and does not appear to be mediated by AI/LOH at the gene. Thus, CDKN1C may be a breast cancer tumor suppressor.
    Type of Medium: Online Resource
    ISSN: 1471-2407
    Language: English
    Publisher: Springer Science and Business Media LLC
    Publication Date: 2008
    detail.hit.zdb_id: 2041352-X
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  • 10
    Online Resource
    Online Resource
    Wiley ; 2000
    In:  International Journal of Cancer Vol. 89, No. 2 ( 2000-03-20), p. 105-110
    In: International Journal of Cancer, Wiley, Vol. 89, No. 2 ( 2000-03-20), p. 105-110
    Type of Medium: Online Resource
    ISSN: 0020-7136 , 1097-0215
    URL: Issue
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    Language: English
    Publisher: Wiley
    Publication Date: 2000
    detail.hit.zdb_id: 218257-9
    detail.hit.zdb_id: 1474822-8
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