Materials Map

Discover the materials research landscape. Find experts, partners, networks.

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The Materials Map is an open tool for improving networking and interdisciplinary exchange within materials research. It enables cross-database search for cooperation and network partners and discovering of the research landscape.

The dashboard provides detailed information about the selected scientist, e.g. publications. The dashboard can be filtered and shows the relationship to co-authors in different diagrams. In addition, a link is provided to find contact information.

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The Materials Map is still under development. In its current state, it is only based on one single data source and, thus, incomplete and contains duplicates. We are working on incorporating new open data sources like ORCID to improve the quality and the timeliness of our data. We will update Materials Map as soon as possible and kindly ask for your patience.

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in Cooperation with on an Cooperation-Score of 37%

Topics

Publications (4/4 displayed)

  • 2019A cost-effectiveness analysis of multigene testing for all patients with breast cancer119citations
  • 2019Ki-67 is an independent predictor of prostate cancer death in routine needle biopsy samples36citations
  • 2017The impact of a panel of 18 single nucleotide polymorphisms on breast cancer risk in women attending a UK familial-screening clinic: A case-control study64citations
  • 2015Visual Inspection after Acetic Acid (VIA) Is Highly Heterogeneous in Primary Cervical Screening in Amazonian Peru22citations

Places of action

Chart of shared publication
Sadique, Zia
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Miners, Alec
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Silva, Isabel Dos Santos
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Eccles, Diana M.
1 / 4 shared
Duffy, Stephen
1 / 2 shared
Buist, Diana S. M.
1 / 2 shared
Bowles, Erin J. A.
1 / 1 shared
Manchanda, Ranjit
1 / 1 shared
Brentnall, Adam
1 / 1 shared
Patel, Shreeya
1 / 1 shared
Legood, Rosa
1 / 1 shared
Hopper, John
1 / 1 shared
Li, Shuai
1 / 2 shared
Yang, Li
1 / 4 shared
Evans, D. Gareth R.
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Southey, Melissa
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Sun, Li
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Moller, Henrik
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Berney, Daniel M.
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Beltran, Luis
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Soosay, Geraldine
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Scardino, Peter
1 / 1 shared
Sandu, Holly
1 / 1 shared
Ahmad, Amar
1 / 1 shared
Kammerer-Jacquet, Solène-Florence
1 / 1 shared
Newman, William
1 / 3 shared
Harkness, Elaine
1 / 3 shared
Howell, Anthony
1 / 3 shared
Stavrinos, Paula
1 / 1 shared
Brentnall, Adam R.
1 / 1 shared
Evans, Gareth
1 / 5 shared
Byers, Helen
1 / 1 shared
Sasieni, Peter
1 / 1 shared
Alvarez, Manuel
1 / 2 shared
Gonzales, Miguel
1 / 1 shared
Luciani, Silvana
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Ferreccio, Catterina
1 / 1 shared
Almonte, Maribel
1 / 1 shared
Santos, Carlos
1 / 1 shared
Delgado, Jose M.
1 / 1 shared
Chart of publication period
2019
2017
2015

Co-Authors (by relevance)

  • Sadique, Zia
  • Miners, Alec
  • Silva, Isabel Dos Santos
  • Eccles, Diana M.
  • Duffy, Stephen
  • Buist, Diana S. M.
  • Bowles, Erin J. A.
  • Manchanda, Ranjit
  • Brentnall, Adam
  • Patel, Shreeya
  • Legood, Rosa
  • Hopper, John
  • Li, Shuai
  • Yang, Li
  • Evans, D. Gareth R.
  • Southey, Melissa
  • Sun, Li
  • Moller, Henrik
  • Berney, Daniel M.
  • Beltran, Luis
  • Soosay, Geraldine
  • Scardino, Peter
  • Sandu, Holly
  • Ahmad, Amar
  • Kammerer-Jacquet, Solène-Florence
  • Newman, William
  • Harkness, Elaine
  • Howell, Anthony
  • Stavrinos, Paula
  • Brentnall, Adam R.
  • Evans, Gareth
  • Byers, Helen
  • Sasieni, Peter
  • Alvarez, Manuel
  • Gonzales, Miguel
  • Luciani, Silvana
  • Ferreccio, Catterina
  • Almonte, Maribel
  • Santos, Carlos
  • Delgado, Jose M.
OrganizationsLocationPeople

article

Ki-67 is an independent predictor of prostate cancer death in routine needle biopsy samples

  • Moller, Henrik
  • Berney, Daniel M.
  • Cuzick, Jack
  • Beltran, Luis
  • Soosay, Geraldine
  • Scardino, Peter
  • Sandu, Holly
  • Ahmad, Amar
  • Kammerer-Jacquet, Solène-Florence
Abstract

<p>Standard clinical parameters fail to accurately differentiate indolent from aggressive prostate cancer. Our previous studies showed that immunohistochemical testing for Ki-67 improved prediction of prostate cancer death in a previous cohort of conservatively treated clinically localized prostate cancer. However there is a need for validation of usage with whole biopsy sections rather than tissue micro-arrays for use in routine diagnostics. Prostate cancer biopsy cases were identified in the UK, between 1990 and 2003, treated conservatively. Tumor extent and prostate-specific antigen (PSA) serum measurements were available. Biopsy cases were centrally reviewed by three uropathologists and Gleason conformed to contemporary ISUP 2014 criteria. Follow-up was through cancer registries up until 2012. Deaths were divided into those from prostate cancer and those from other causes. The percentage of Ki-67 in tumor cells was evaluated by immunohistochemistry on whole biopsy sections and was available for 756 patients. This percentage was used in analysis of cancer specific survival using a Cox proportional hazards model. In univariate analysis, the interquartile hazard ratio (HR) (95% confidence intervals) for continuous Ki-67 was 1.68 (1.49, 1.89), χ<sub>1</sub><sup>2</sup> = 47.975, P &lt; 0.001. In grade groups 1 and 2, continuous Ki-67 was a statistically significant predictor of time to death from prostate cancer, HR (95% CI) = 1.97 (1.34, 2.88), χ<sub>1</sub><sup>2</sup> = 9.017, p = 0.003. In multivariate analysis, continuous Ki-67 added significant predictive information to that provided by grade groups, extent of disease and serum PSA, HR (95% CI) = 1.34 (1.16, 1.54), Δχ<sub>1</sub><sup>2</sup> = 13.703, P &lt; 0.001. We now advocate the introduction of Ki-67 as a viable and practicable prognostic biomarker in clinical practice. The association of Ki-67 with mortality was highest in grade groups 1 and 2, showing that Ki-67 can be used as a routine biomarker in patients being considered for active surveillance.</p>

Topics
  • impedance spectroscopy
  • chemical ionisation