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  2. Matching Content Categories
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We are analyzing https://link.springer.com/article/10.1007/s10549-014-3089-1.

Title:
Association of H3K9me3 and H3K27me3 repressive histone marks with breast cancer subtypes in the Nurses’ Health Study | Breast Cancer Research and Treatment
Description:
Repressive histone tail modifications have been associated with molecular breast cancer subtypes. We investigated whether histone 3 lysine 9 trimethylation (H3K9me3) and histone 3 lysine 27 trimethylation (H3K27me3) were associated with tumor features and subtypes while adjusting for prospectively collected reproductive and lifestyle breast cancer risk factors. We have tissue microarray data with immunohistochemical marker information on 804 incident cases of invasive breast cancer diagnosed from 1976–2000 in the Nurses’ Health Study. Tissue microarray sections were stained for global H3K9me3 and H3K27me3, and scored into four categories. Multivariate odds ratios (OR) and 95 % confidence intervals (CI) were calculated using logistic regression models for tumor features and subtypes, adjusting for breast cancer risk factors. While there were no significant associations between H3K9me3 and tumor features, H3K27me3 was significantly associated with lower grade tumors compared to high grade tumors in the multivariate model (OR = 1.95, 95 % CI 1.35–2.81, p = 0.0004). H3K27me3 was suggestively associated with estrogen receptor-positive (ER+) tumors (OR = 1.47, 95 % CI 0.97–2.23, p = 0.07). In subtype analyses, H3K27me3 was positively associated with the luminal A subtype compared to all other subtypes (OR = 1.42, 95 % CI 1.14–1.77, p = 0.002), and was inversely associated with HER2-type (OR = 0.58, 95 % CI 0.37–0.91, p = 0.02) and basal-like breast cancer (OR = 0.52, 95 % CI 0.36–0.76, p = 0.0006). In the largest immunohistochemical examination of H3K9me3 and H3K27me3 in breast cancer, we found that H3K27me3 positivity, but not H3K9me3, was associated with lower grade tumors and the luminal A subtype after adjusting for reproductive and lifestyle breast cancer risk factors.
Website Age:
28 years and 1 months (reg. 1997-05-29).

Matching Content Categories {📚}

  • Education
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Content Management System {📝}

What CMS is link.springer.com built with?

Custom-built

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Traffic Estimate {📈}

What is the average monthly size of link.springer.com audience?

🌠 Phenomenal Traffic: 5M - 10M visitors per month


Based on our best estimate, this website will receive around 5,000,019 visitors per month in the current month.
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How Does Link.springer.com Make Money? {💸}

We don't see any clear sign of profit-making.

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Keywords {🔍}

cancer, breast, pubmed, article, google, scholar, cas, hkme, central, van, histone, study, subtypes, risk, data, health, receptor, res, nature, factors, tamimi, tumor, expression, ezh, usa, analysis, nurses, molecular, trimethylation, grade, access, natl, doinature, privacy, cookies, content, research, association, repressive, epidemiology, hazra, lysine, reproductive, global, estrogen, luminal, triplenegative, clin, liu, oncol,

Topics {✒️}

month download article/chapter triple-negative breast cancer hr-positive her2-negative stem/progenitor cell signature full article pdf de-identified data sets progesterone receptor status estrogen receptor-positive breast cancer risk breast cancer risk familial breast cancer pathology tissue-chromatin immunoprecipitation privacy choices/manage cookies state cancer registries garcia-closas independent prognostic factor breast epithelial cells hormonal risk factors millikan rc human breast tumours single nucleotide polymorphisms breast cancer defined aggressive breast cancer inflammatory breast cancer androgen receptor expression breast cancer prognosis lakhani sr gene expression patterns cancer prev res reproductive risk factors van de vijver breast cancer subtypes polycomb complex prc2 human investigations committee protect human subjects nurses’ health study harvard medical school institutional review boards breast cancer associations alter gene expression largest immunohistochemical examination dna hypermethylation module tumour dna ploidy tissue microarray sections renal cell carcinoma van de rijn van leeuwen fe van den ouweland high ezh2 expression bmc cancer 13

Schema {🗺️}

WebPage:
      mainEntity:
         headline:Association of H3K9me3 and H3K27me3 repressive histone marks with breast cancer subtypes in the Nurses’ Health Study
         description:Repressive histone tail modifications have been associated with molecular breast cancer subtypes. We investigated whether histone 3 lysine 9 trimethylation (H3K9me3) and histone 3 lysine 27 trimethylation (H3K27me3) were associated with tumor features and subtypes while adjusting for prospectively collected reproductive and lifestyle breast cancer risk factors. We have tissue microarray data with immunohistochemical marker information on 804 incident cases of invasive breast cancer diagnosed from 1976–2000 in the Nurses’ Health Study. Tissue microarray sections were stained for global H3K9me3 and H3K27me3, and scored into four categories. Multivariate odds ratios (OR) and 95 % confidence intervals (CI) were calculated using logistic regression models for tumor features and subtypes, adjusting for breast cancer risk factors. While there were no significant associations between H3K9me3 and tumor features, H3K27me3 was significantly associated with lower grade tumors compared to high grade tumors in the multivariate model (OR = 1.95, 95 % CI 1.35–2.81, p = 0.0004). H3K27me3 was suggestively associated with estrogen receptor-positive (ER+) tumors (OR = 1.47, 95 % CI 0.97–2.23, p = 0.07). In subtype analyses, H3K27me3 was positively associated with the luminal A subtype compared to all other subtypes (OR = 1.42, 95 % CI 1.14–1.77, p = 0.002), and was inversely associated with HER2-type (OR = 0.58, 95 % CI 0.37–0.91, p = 0.02) and basal-like breast cancer (OR = 0.52, 95 % CI 0.36–0.76, p = 0.0006). In the largest immunohistochemical examination of H3K9me3 and H3K27me3 in breast cancer, we found that H3K27me3 positivity, but not H3K9me3, was associated with lower grade tumors and the luminal A subtype after adjusting for reproductive and lifestyle breast cancer risk factors.
         datePublished:2014-09-16T00:00:00Z
         dateModified:2014-09-16T00:00:00Z
         pageStart:639
         pageEnd:651
         sameAs:https://doi.org/10.1007/s10549-014-3089-1
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            H3K9me3
            H3K27me3
            Histone methylation
            Breast cancer
            Subtype
            Risk factor
            Oncology
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                        name:Channing Division of Network Medicine, Department of Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, USA
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                     name:Harvard School of Public Health
                     address:
                        name:Department of Epidemiology, Program in Genetic Epidemiology and Statistical Genetics, Harvard School of Public Health, Boston, USA
                        type:PostalAddress
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                     address:
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      headline:Association of H3K9me3 and H3K27me3 repressive histone marks with breast cancer subtypes in the Nurses’ Health Study
      description:Repressive histone tail modifications have been associated with molecular breast cancer subtypes. We investigated whether histone 3 lysine 9 trimethylation (H3K9me3) and histone 3 lysine 27 trimethylation (H3K27me3) were associated with tumor features and subtypes while adjusting for prospectively collected reproductive and lifestyle breast cancer risk factors. We have tissue microarray data with immunohistochemical marker information on 804 incident cases of invasive breast cancer diagnosed from 1976–2000 in the Nurses’ Health Study. Tissue microarray sections were stained for global H3K9me3 and H3K27me3, and scored into four categories. Multivariate odds ratios (OR) and 95 % confidence intervals (CI) were calculated using logistic regression models for tumor features and subtypes, adjusting for breast cancer risk factors. While there were no significant associations between H3K9me3 and tumor features, H3K27me3 was significantly associated with lower grade tumors compared to high grade tumors in the multivariate model (OR = 1.95, 95 % CI 1.35–2.81, p = 0.0004). H3K27me3 was suggestively associated with estrogen receptor-positive (ER+) tumors (OR = 1.47, 95 % CI 0.97–2.23, p = 0.07). In subtype analyses, H3K27me3 was positively associated with the luminal A subtype compared to all other subtypes (OR = 1.42, 95 % CI 1.14–1.77, p = 0.002), and was inversely associated with HER2-type (OR = 0.58, 95 % CI 0.37–0.91, p = 0.02) and basal-like breast cancer (OR = 0.52, 95 % CI 0.36–0.76, p = 0.0006). In the largest immunohistochemical examination of H3K9me3 and H3K27me3 in breast cancer, we found that H3K27me3 positivity, but not H3K9me3, was associated with lower grade tumors and the luminal A subtype after adjusting for reproductive and lifestyle breast cancer risk factors.
      datePublished:2014-09-16T00:00:00Z
      dateModified:2014-09-16T00:00:00Z
      pageStart:639
      pageEnd:651
      sameAs:https://doi.org/10.1007/s10549-014-3089-1
      keywords:
         H3K9me3
         H3K27me3
         Histone methylation
         Breast cancer
         Subtype
         Risk factor
         Oncology
      image:
         https://media.springernature.com/lw1200/springer-static/image/art%3A10.1007%2Fs10549-014-3089-1/MediaObjects/10549_2014_3089_Fig1_HTML.jpg
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            name:Megan A. Healey
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                  address:
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                     type:PostalAddress
                  type:Organization
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            affiliation:
                  name:Brigham and Women’s Hospital and Harvard Medical School
                  address:
                     name:Channing Division of Network Medicine, Department of Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, USA
                     type:PostalAddress
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            name:Andrew H. Beck
            affiliation:
                  name:Beth Israel Deaconess Medical Center and Harvard Medical School
                  address:
                     name:Department of Pathology, Beth Israel Deaconess Medical Center and Harvard Medical School, Boston, USA
                     type:PostalAddress
                  type:Organization
            type:Person
            name:Laura C. Collins
            affiliation:
                  name:Beth Israel Deaconess Medical Center and Harvard Medical School
                  address:
                     name:Department of Pathology, Beth Israel Deaconess Medical Center and Harvard Medical School, Boston, USA
                     type:PostalAddress
                  type:Organization
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            name:Stuart J. Schnitt
            affiliation:
                  name:Beth Israel Deaconess Medical Center and Harvard Medical School
                  address:
                     name:Department of Pathology, Beth Israel Deaconess Medical Center and Harvard Medical School, Boston, USA
                     type:PostalAddress
                  type:Organization
            type:Person
            name:Rulla M. Tamimi
            affiliation:
                  name:Brigham and Women’s Hospital and Harvard Medical School
                  address:
                     name:Channing Division of Network Medicine, Department of Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, USA
                     type:PostalAddress
                  type:Organization
                  name:Harvard School of Public Health
                  address:
                     name:Department of Epidemiology, Program in Genetic Epidemiology and Statistical Genetics, Harvard School of Public Health, Boston, USA
                     type:PostalAddress
                  type:Organization
            type:Person
            name:Aditi Hazra
            affiliation:
                  name:Brigham and Women’s Hospital and Harvard Medical School
                  address:
                     name:Channing Division of Network Medicine, Department of Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, USA
                     type:PostalAddress
                  type:Organization
                  name:Harvard School of Public Health
                  address:
                     name:Department of Epidemiology, Program in Genetic Epidemiology and Statistical Genetics, Harvard School of Public Health, Boston, USA
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         name:Channing Division of Network Medicine, Department of Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, USA
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      name:Harvard School of Public Health
      address:
         name:Department of Epidemiology, Program in Genetic Epidemiology and Statistical Genetics, Harvard School of Public Health, Boston, USA
         type:PostalAddress
      name:Brigham and Women’s Hospital and Harvard Medical School
      address:
         name:Channing Division of Network Medicine, Department of Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, USA
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      address:
         name:Department of Pathology, Beth Israel Deaconess Medical Center and Harvard Medical School, Boston, USA
         type:PostalAddress
      name:Beth Israel Deaconess Medical Center and Harvard Medical School
      address:
         name:Department of Pathology, Beth Israel Deaconess Medical Center and Harvard Medical School, Boston, USA
         type:PostalAddress
      name:Beth Israel Deaconess Medical Center and Harvard Medical School
      address:
         name:Department of Pathology, Beth Israel Deaconess Medical Center and Harvard Medical School, Boston, USA
         type:PostalAddress
      name:Brigham and Women’s Hospital and Harvard Medical School
      address:
         name:Channing Division of Network Medicine, Department of Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, USA
         type:PostalAddress
      name:Harvard School of Public Health
      address:
         name:Department of Epidemiology, Program in Genetic Epidemiology and Statistical Genetics, Harvard School of Public Health, Boston, USA
         type:PostalAddress
      name:Brigham and Women’s Hospital and Harvard Medical School
      address:
         name:Channing Division of Network Medicine, Department of Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, USA
         type:PostalAddress
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            name:Brigham and Women’s Hospital and Harvard Medical School
            address:
               name:Channing Division of Network Medicine, Department of Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, USA
               type:PostalAddress
            type:Organization
            name:Harvard School of Public Health
            address:
               name:Department of Epidemiology, Program in Genetic Epidemiology and Statistical Genetics, Harvard School of Public Health, Boston, USA
               type:PostalAddress
            type:Organization
      name:Rong Hu
      affiliation:
            name:Brigham and Women’s Hospital and Harvard Medical School
            address:
               name:Channing Division of Network Medicine, Department of Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, USA
               type:PostalAddress
            type:Organization
      name:Andrew H. Beck
      affiliation:
            name:Beth Israel Deaconess Medical Center and Harvard Medical School
            address:
               name:Department of Pathology, Beth Israel Deaconess Medical Center and Harvard Medical School, Boston, USA
               type:PostalAddress
            type:Organization
      name:Laura C. Collins
      affiliation:
            name:Beth Israel Deaconess Medical Center and Harvard Medical School
            address:
               name:Department of Pathology, Beth Israel Deaconess Medical Center and Harvard Medical School, Boston, USA
               type:PostalAddress
            type:Organization
      name:Stuart J. Schnitt
      affiliation:
            name:Beth Israel Deaconess Medical Center and Harvard Medical School
            address:
               name:Department of Pathology, Beth Israel Deaconess Medical Center and Harvard Medical School, Boston, USA
               type:PostalAddress
            type:Organization
      name:Rulla M. Tamimi
      affiliation:
            name:Brigham and Women’s Hospital and Harvard Medical School
            address:
               name:Channing Division of Network Medicine, Department of Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, USA
               type:PostalAddress
            type:Organization
            name:Harvard School of Public Health
            address:
               name:Department of Epidemiology, Program in Genetic Epidemiology and Statistical Genetics, Harvard School of Public Health, Boston, USA
               type:PostalAddress
            type:Organization
      name:Aditi Hazra
      affiliation:
            name:Brigham and Women’s Hospital and Harvard Medical School
            address:
               name:Channing Division of Network Medicine, Department of Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, USA
               type:PostalAddress
            type:Organization
            name:Harvard School of Public Health
            address:
               name:Department of Epidemiology, Program in Genetic Epidemiology and Statistical Genetics, Harvard School of Public Health, Boston, USA
               type:PostalAddress
            type:Organization
      email:[email protected]
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      name:Channing Division of Network Medicine, Department of Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, USA
      name:Department of Epidemiology, Program in Genetic Epidemiology and Statistical Genetics, Harvard School of Public Health, Boston, USA
      name:Channing Division of Network Medicine, Department of Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, USA
      name:Department of Pathology, Beth Israel Deaconess Medical Center and Harvard Medical School, Boston, USA
      name:Department of Pathology, Beth Israel Deaconess Medical Center and Harvard Medical School, Boston, USA
      name:Department of Pathology, Beth Israel Deaconess Medical Center and Harvard Medical School, Boston, USA
      name:Channing Division of Network Medicine, Department of Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, USA
      name:Department of Epidemiology, Program in Genetic Epidemiology and Statistical Genetics, Harvard School of Public Health, Boston, USA
      name:Channing Division of Network Medicine, Department of Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, USA
      name:Department of Epidemiology, Program in Genetic Epidemiology and Statistical Genetics, Harvard School of Public Health, Boston, USA
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