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 (1/1 displayed)

  • 2015Better allele-level matching improves transplant-related mortality after double cord blood transplantation32citations

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Willis, Dana
1 / 1 shared
Rondon, Gabriela
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Parmar, Simrit
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Shah, Nina
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Shpall, Elizabeth J.
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Nieto, Yago
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Fernandez-Vina, Marcelo
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Kebriaei, Partow
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Hosing, Chitra M.
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Popat, Uday R.
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2015

Co-Authors (by relevance)

  • Willis, Dana
  • Rondon, Gabriela
  • Parmar, Simrit
  • Shah, Nina
  • Shpall, Elizabeth J.
  • Nieto, Yago
  • Champlin, Richard E.
  • Fernandez-Vina, Marcelo
  • Kebriaei, Partow
  • Hosing, Chitra M.
  • Popat, Uday R.
  • Moore, Brandt
  • Olson, Amanda
  • Mehta, Rohtesh
  • Marin, David
  • Cao, Kai
  • Oran, Betuel
  • De Lima, Marcos
  • Ahmed, Sairah
  • Rezvani, Katayoun
  • Saliba, Rima M.
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article

Better allele-level matching improves transplant-related mortality after double cord blood transplantation

  • Willis, Dana
  • Rondon, Gabriela
  • Parmar, Simrit
  • Shah, Nina
  • Shpall, Elizabeth J.
  • Nieto, Yago
  • Champlin, Richard E.
  • Carmazzi, Yudith
  • Fernandez-Vina, Marcelo
  • Kebriaei, Partow
  • Hosing, Chitra M.
  • Popat, Uday R.
  • Moore, Brandt
  • Olson, Amanda
  • Mehta, Rohtesh
  • Marin, David
  • Cao, Kai
  • Oran, Betuel
  • De Lima, Marcos
  • Ahmed, Sairah
  • Rezvani, Katayoun
  • Saliba, Rima M.
Abstract

Cord blood transplant requires less stringent human leukocyte antigen matching than unrelated donors. In 133 patients with hematologic malignancies who engrafted after double cord blood transplantation with a dominant unit, we studied the effect of high resolution testing at 4 loci (-A, -B, -C, -DRB1) for its impact on 2-year transplant-related mortality. Ten percent of the dominant cord blood units were matched at 7-8/8 alleles using HLA-A, -B, -C, and -DRB1; 25% were matched at 6/8, 40% at 5/8, and 25% at 4/8 or less allele. High resolution typing at 4 loci showed that there was no 2-year transplant-related mortality in 7-8/8 matched patients. Patients with 5-6/8 matched dominant cord blood units had 2-year transplant-related mortality of 39% while patients with 4/8 or less matched units had 60%. Multivariate regression analyses confirmed the independent effect of high resolution typing on the outcome when adjusted for age, diagnosis, CD34(+) cell dose infused, graft manipulation and cord to cord matching. The worst prognostic group included patients aged over 32 years with 4/8 or less matched cord blood units compared with patients who were either younger than 32 years old independent of allele-level matching, or aged over 32 years but with 5-6/8 matched cord blood units (Hazard Ratio 2.2; 95% confidence interval: 1.3-3.7; P<0.001). Patients with 7-8/8 matched units remained the group with the best prognosis. Our data suggest that high resolution typing at 4 loci and selecting cord blood units matched at at least 5/8 alleles may reduce transplant-related mortality after double cord blood transplantation.

Topics
  • laser emission spectroscopy