Evidence map›Paper›PMID 26054054›Full record

ReviewCytometry. Part B, Clinical cytometry2016

Receptor occupancy assessment by flow cytometry as a pharmacodynamic biomarker in biopharmaceutical development.

Meina Liang, Martin Schwickart, Amy K Schneider, Inna Vainshtein, Christopher Del Nagro, Nathan Standifer, Lorin K Roskos

Abstract readReview
In one paragraph

Review in Cytometry. Part B, Clinical cytometry, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers.

0numbers the graph read from it
0cells of the map it votes in
26citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

26 citing papers in PubMed.

  1. Trial
  2. Trial
  3. Trial
  4. Bio-protocol · 2026
    Article
  5. FDA-AACR Strategies for Optimizing Dosages for Oncology Drug Products: Selecting Optimized Dosages for Registrational Trials.Clinical cancer research : an official journal of the American Association for Cancer Research · 2025
    Review
  6. Dynamic Tracking ofMolecular pharmaceutics · 2025
    Article
  7. Real-time platelet P2YActa pharmaceutica Sinica. B · 2025
    Article
  8. Applications of Flow Cytometry in Drug Discovery and Translational Research.International journal of molecular sciences · 2024
    Review
  9. Article
  10. Review
  11. Article
  12. Experimental and therapeutic medicine · 2022
    Article
  13. Review
  14. A human receptor occupancy assay to measure anti-PD-1 binding in patients with prior anti-PD-1.Cytometry. Part A : the journal of the International Society for Analytical Cytology · 2021
    Article
  15. Article
  16. Review
  17. Review
  18. Article
  19. Article
  20. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Meina LiangDepartment of Clinical Pharmacology and DMPK, Medimmune, LLC, Mountain View, California, 94043.
Martin SchwickartDepartment of Clinical Pharmacology and DMPK, Medimmune, LLC, Mountain View, California, 94043.
Amy K SchneiderDepartment of Clinical Pharmacology and DMPK, Medimmune, LLC, Mountain View, California, 94043.
Inna VainshteinDepartment of Clinical Pharmacology and DMPK, Medimmune, LLC, Mountain View, California, 94043.
Christopher Del NagroDepartment of Clinical Pharmacology and DMPK, Medimmune, LLC, Mountain View, California, 94043.
Nathan StandiferDepartment of Clinical Pharmacology and DMPK, Medimmune, LLC, Mountain View, California, 94043.
Lorin K RoskosDepartment of Clinical Pharmacology and DMPK, Medimmune, LLC, Mountain View, California, 94043.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Receptor occupancy (RO) assays are designed to quantify the binding of therapeutics to their targets on the cell surface and are frequently used to generate pharmacodynamic (PD) biomarker data in nonclinical and clinical studies of biopharmaceuticals. When combined with the pharmacokinetic (PK) profile, RO data can establish PKPD relationships, which are crucial for informing dose decisions. RO is commonly measured by flow cytometry on fresh blood specimens and is subject to numerous technical and logistical challenges. To ensure that reliable and high quality results are generated from RO assays, careful assay design, key reagent characterization, data normalization/reporting, and thorough planning for implementation are of critical importance during development. In this article, the authors share their experiences and perspectives in these areas and discuss challenges and potential solutions when developing and implementing a flow cytometry-based RO method in support of biopharmaceutical drug development.

Indexed as

Drug DiscoveryBiomarkersFlow CytometryHumansPharmacokineticsBiomarkersanimal and human studiesbiopharmaceuticalclinical trialdose selectiondrug developmentflow cytometrypharmacodynamic biomarkerPKPD relationshipreceptor occupancytarget binding

Identifiers

PMID26054054
PMCPMC5042057

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.