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 (3/3 displayed)

  • 2023Key Considerations when Evaluating Whether to Establish a PD-L1 Laboratory Developed Test (LDT)citations
  • 2017On-Chip Andreev Devices: Hard Superconducting Gap and Quantum Transport in Ballistic Nb–In0.75Ga0.25AsQuantum-Well–Nb Josephson Junctionscitations
  • 2016Modulating reactivity in iridium bis(N-heterocyclic carbene) complexes: influence of ring size on E-H bond activation chemistry.24citations

Places of action

Chart of shared publication
Schulte, J. J.
1 / 1 shared
Saeed, L.
1 / 1 shared
Beumer, K.
1 / 1 shared
Liu, X.
1 / 54 shared
Chivukula, M.
1 / 1 shared
Zhang, W.
1 / 58 shared
Lazure, P.
1 / 1 shared
Nam, M.
1 / 3 shared
Murray, S.
1 / 1 shared
Hung, Y.
1 / 1 shared
Rosa, M.
1 / 3 shared
Zhang, H.
1 / 92 shared
Ritchie, D.
1 / 6 shared
Gul, Y.
1 / 3 shared
Puddy, R.
1 / 1 shared
Farrer, I.
1 / 22 shared
Cao, M.
1 / 6 shared
Joyce, H.
1 / 6 shared
Delfanazari, K.
1 / 4 shared
Yi, T.
1 / 2 shared
Ma, P.
1 / 4 shared
Smith, C.
1 / 8 shared
Tirfoin, R.
1 / 1 shared
Phillips, N.
1 / 2 shared
Aldridge, S.
1 / 3 shared
Tang, C.
1 / 13 shared
Thompson, A.
1 / 15 shared
Gutmann, M.
1 / 5 shared
Chart of publication period
2023
2017
2016

Co-Authors (by relevance)

  • Schulte, J. J.
  • Saeed, L.
  • Beumer, K.
  • Liu, X.
  • Chivukula, M.
  • Zhang, W.
  • Lazure, P.
  • Nam, M.
  • Murray, S.
  • Hung, Y.
  • Rosa, M.
  • Zhang, H.
  • Ritchie, D.
  • Gul, Y.
  • Puddy, R.
  • Farrer, I.
  • Cao, M.
  • Joyce, H.
  • Delfanazari, K.
  • Yi, T.
  • Ma, P.
  • Smith, C.
  • Tirfoin, R.
  • Phillips, N.
  • Aldridge, S.
  • Tang, C.
  • Thompson, A.
  • Gutmann, M.
OrganizationsLocationPeople

article

Key Considerations when Evaluating Whether to Establish a PD-L1 Laboratory Developed Test (LDT)

  • Schulte, J. J.
  • Saeed, L.
  • Beumer, K.
  • Liu, X.
  • Chivukula, M.
  • Zhang, W.
  • Lazure, P.
  • Nam, M.
  • Murray, S.
  • Kelly, M.
  • Hung, Y.
  • Rosa, M.
  • Zhang, H.
Abstract

<jats:title>Abstract</jats:title><jats:sec><jats:title>Introduction/Objective</jats:title><jats:p>Programmed death ligand-1 (PD-L1) immunohistochemistry (IHC) testing is often used to identify patients with cancer who may be eligible for immune checkpoint inhibitor therapy. The complexity around using different assays and platforms has caused confusion and reluctance to perform in-house PD-L1 testing. Some labs have established a laboratory developed test (LDT) that may be used across multiple types of tumors. To evaluate the role of PD-L1 LDTs, ASCP formed an ad-hoc working group to identify key considerations.</jats:p></jats:sec><jats:sec><jats:title>Methods/Case Report</jats:title><jats:p>In early 2023, 40 pathologists and laboratory professionals joined the ASCP PD-L1 Learning Collaborative to explore ways to improve PD-L1 testing processes. An ad-hoc working group focused on LDTs and reviewed the literature, spoke with labs using LDTs, and developed guidance questions.</jats:p></jats:sec><jats:sec><jats:title>Results (if a Case Study enter NA)</jats:title><jats:p>The working group identified these key topics and questions:</jats:p><jats:p>Testing volume and types of cancers: How many tests are performed each month to justify an in-house PD-L1 test? Which types of cancers are tested? Do we have (or do we plan to develop) reflex PD-L1 testing protocols for certain types of tumors?</jats:p><jats:p>Buy-in from oncologists: Do our medical oncologists feel that a PD-L1 LDT provides the results they need to make treatment decisions across different types of cancers?</jats:p><jats:p>Assay selection and testing platforms: Which IHC platform (eg, Ventana, Dako, Leica, etc.) do we currently use and which assay (eg, 22C3, 28-8, SP263, E1L3N, etc.) should we use? How well do these assays stain tumor cells vs. immune cells?</jats:p><jats:p>IHC testing processes: What is our volume of IHC testing and how would adding PD-L1 impact our workflow for all IHC tests? How often do we encounter technical issues? How much staff time will it take to add PD-L1? What are the maintenance costs?</jats:p><jats:p>Interpretation and scoring: Which pathologists are trained to interpret PD-L1 tests? Are they trained to interpret tumor cells, immune cells, or both? Do we train residents? Which scoring systems will we use and how will we report results?</jats:p><jats:p>Validation: How many cases are needed for validation? Should validation samples include tumor cell and immune cell staining?</jats:p><jats:p>Reimbursement: How will the lab be reimbursed for performing PD-L1 testing and interpretation?</jats:p></jats:sec><jats:sec><jats:title>Conclusion</jats:title><jats:p>Before establishing a PD-L1 LDT, the medical laboratory must review these questions against the backdrop of an evolving PD-L1 testing landscape. An LDT may be an appropriate approach for labs that aim to simplify PD-L1 testing based on the IHC platform(s) they are using.</jats:p></jats:sec>

Topics
  • impedance spectroscopy
  • size-exclusion chromatography