| 1. |
- Houssami, Nehmat, et al.
(författare)
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Effectiveness of digital breast tomosynthesis (3D-mammography) in population breast cancer screening : A protocol for a collaborative individual participant data (IPD) meta-analysis
- 2017
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Ingår i: Translational Cancer Research. - : AME Publishing Company. - 2218-676X .- 2219-6803. ; 6:4, s. 869-877
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Tidskriftsartikel (refereegranskat)abstract
- Background: There is accumulating evidence that digital breast tomosynthesis, referred to as 3D-mammography in this protocol, improves screen-detection measures compared to standard 2D-mammography in the context of population screening for breast cancer. However, the effect of 3D-mammography at follow-up of screened women is not yet known: it is unknown whether additional cancer detection from 3D-mammography leads to incremental screening benefit through a reduction of interval cancers, or whether it is mostly over-detecting indolent cancers. Methods: The aim of this study is to examine whether 3D-mammography population screening improves breast cancer screening effectiveness by reducing interval cancer rates compared to standard digital (2D) mammography screening, using individual participant data (IPD) meta-analysis. In this protocol, we outline the research plan which includes systematic identification of studies eligible to contribute data into the IPD meta-analysis, and sourcing and assembling IPD for participants screened with 3D-mammography (3D alone or integrated 2D/3D or integrated 2Dsynthetic/3D) and comparison participants screened with 2D-mammography (standard of care in breast screening). The primary end-point of this work is the interval breast cancer rate per 10,000 screens for 3D-mammography versus 2D-mammography screening. The IPD meta-analysis will also assess secondary outcomes including: screening sensitivity, cancer detection rates, cancer (prognostic) characteristics, and recall rates, for 3D-mammography versus 2D-mammography screening. The use of IPD meta-analysis will allow stratification of results by age and breast density, and will also facilitate analysis of cancer histological (prognostic) characteristics. Discussion: Finalization of data collection procedures and analysis plans will be complete by the end of 2017. Data collection will occur from late 2017 to late 2018 (screen-detection measures: cancer detection and recall data) and from mid-2018 to mid-2019 (interval cancer data). Results of detection measures should be available by 2019, and interval cancer results in 2020. By addressing the critical evidence gap on whether 3D-mammography screening reduces interval cancer rates (compared to 2D-mammography), we expect that our findings will inform timely translation of 3D-mammography technology into breast screening practice in population-based health programs.
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| 2. |
- Johansson, Henrik J., et al.
(författare)
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Breast cancer quantitative proteome and proteogenomic landscape
- 2019
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Ingår i: Nature Communications. - : NATURE PUBLISHING GROUP. - 2041-1723. ; 10
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Tidskriftsartikel (refereegranskat)abstract
- In the preceding decades, molecular characterization has revolutionized breast cancer (BC) research and therapeutic approaches. Presented herein, an unbiased analysis of breast tumor proteomes, inclusive of 9995 proteins quantified across all tumors, for the first time recapitulates BC subtypes. Additionally, poor-prognosis basal-like and luminal B tumors are further subdivided by immune component infiltration, suggesting the current classification is incomplete. Proteome-based networks distinguish functional protein modules for breast tumor groups, with co-expression of EGFR and MET marking ductal carcinoma in situ regions of normal-like tumors and lending to a more accurate classification of this poorly defined subtype. Genes included within prognostic mRNA panels have significantly higher than average mRNA-protein correlations, and gene copy number alterations are dampened at the protein-level; underscoring the value of proteome quantification for prognostication and phenotypic classification. Furthermore, protein products mapping to non-coding genomic regions are identified; highlighting a potential new class of tumor-specific immunotherapeutic targets.
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| 3. |
- Sandvei, Marie Søfteland, et al.
(författare)
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Menopausal hormone therapy and breast cancer risk : effect modification by body mass through life
- 2019
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Ingår i: European Journal of Epidemiology. - : Springer Science and Business Media LLC. - 0393-2990 .- 1573-7284. ; 34:3, s. 267-278
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Tidskriftsartikel (refereegranskat)abstract
- It is not known whether increased breast cancer risk caused by menopausal hormone therapy (HT) depends on body mass patterns through life. In a prospective study of 483,241 Norwegian women aged 50–69 years at baseline, 7656 women developed breast cancer during follow-up (2006–2013). We combined baseline information on recalled body mass in childhood/adolescence and current (baseline) body mass index (BMI) to construct mutually exclusive life-course body mass patterns. We assessed associations of current HT use with breast cancer risk according to baseline BMI and life-course patterns of body mass, and estimated relative excess risk due to interaction (RERI). Within all levels of baseline BMI, HT use was associated with increased risk. Considering life-course body mass patterns as a single exposure, we used women who “remained at normal weight” through life as the reference, and found that being “overweight as young” was associated with lower risk (hazard ratio (HR) 0.85, 95% confidence interval (CI) 0.76–0.94), whereas women who “gained weight” had higher risk (HR 1.20, 95% CI 1.12–1.28). Compared to never users of HT who were “overweight as young”, HT users who either “remained at normal weight” or “gained weight” in adulthood were at higher risk than expected when adding the separate risks (RERI 0.52, 95% CI 0.09–0.95, and RERI 0.37, 95% CI − 0.07–0.80), suggesting effect modification. Thus, we found that women who remain at normal weight or gain weight in adulthood may be more susceptible to the risk increasing effect of HT compared to women who were overweight as young.
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| 4. |
- Schunemann, Holger J., et al.
(författare)
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Methods for Development of the European Commission Initiative on Breast Cancer Guidelines Recommendations in the Era of Guideline Transparency
- 2019
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Ingår i: Annals of Internal Medicine. - : American College of Physicians. - 0003-4819 .- 1539-3704. ; 171:4, s. 273-280
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Tidskriftsartikel (refereegranskat)abstract
- Neither breast cancer prevention and early-detection programs, nor their outcomes, are uniform across Europe. This article describes the rationale, methods, and process for development of the European Commission ( EC) Initiative on Breast Cancer Screening and Diagnosis Guidelines. To be consistent with standards set by the Institute of Medicine and others, the EC followed 6 general principles. First, the EC selected, via an open call, a panel with broad representation of areas of expertise. Second, it ensured that all recommendations were supported by systematic reviews. Third, the EC separately considered important subgroups of women, included patient advocates in the guidelines development group, and focused on good communication to inform women's decisions. Fourth, EC rules on conflicts of interest were followed and the GRADE ( Grading of Recommendations Assessment, Development and Evaluation) Evidence to Decision frameworks were used to structure the process and minimize the influence of competing interests. Fifth, it focused its recommendations on outcomes that matter to women, and certainty of the evidence is rated for each. Sixth, the EC elicited stakeholder feedback to ensure that the recommendations remain up to date and relevant to practice. This article describes the approach and highlights ways of disseminating and adapting the recommendations both within and outside Europe, using innovative information technology tools.
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| 5. |
- Tekpli, Xavier, et al.
(författare)
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An independent poor-prognosis subtype of breast cancer defined by a distinct tumor immune microenvironment
- 2019
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Ingår i: Nature Communications. - : Springer Science and Business Media LLC. - 2041-1723. ; 10:1
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Tidskriftsartikel (refereegranskat)abstract
- How mixtures of immune cells associate with cancer cell phenotype and affect pathogenesis is still unclear. In 15 breast cancer gene expression datasets, we invariably identify three clusters of patients with gradual levels of immune infiltration. The intermediate immune infiltration cluster (Cluster B) is associated with a worse prognosis independently of known clinicopathological features. Furthermore, immune clusters are associated with response to neoadjuvant chemotherapy. In silico dissection of the immune contexture of the clusters identified Cluster A as immune cold, Cluster C as immune hot while Cluster B has a pro-tumorigenic immune infiltration. Through phenotypical analysis, we find epithelial mesenchymal transition and proliferation associated with the immune clusters and mutually exclusive in breast cancers. Here, we describe immune clusters which improve the prognostic accuracy of immune contexture in breast cancer. Our discovery of a novel independent prognostic factor in breast cancer highlights a correlation between tumor phenotype and immune contexture.
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