Evidence map›Paper›PMID 31877721›Full record

ReviewCancers2019

Structure and Optimization of Checkpoint Inhibitors.

Sarah L Picardo, Jeffrey Doi, Aaron R Hansen

Open access · goldAbstract readReview
In one paragraph

Review in Cancers, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.

0numbers the graph read from it
0cells of the map it votes in
24citing papers in PubMed
3.4field-weighted citation impact, top 6% of its field
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

24 citing papers in PubMed, 45 citations in OpenAlex.

  1. Review
  2. Article
  3. Immune interactions in pembrolizumab (PD-1 inhibitor) cancer therapy and cardiovascular complications.American journal of physiology. Heart and circulatory physiology · 2023
    Review
  4. Article
  5. Article
  6. Review
  7. Review
  8. Article
  9. Article
  10. Review
  11. Review
  12. Article
  13. Article
  14. Review
  15. Article
  16. Review
  17. First line Immunotherapy for Non-Small Cell Lung Cancer.Pharmaceuticals (Basel, Switzerland) · 2020
    Review
  18. Review
  19. A possible asymmetry at the checkpoint.Translational oncology · 2020
    Article
  20. Review
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

3 authors at 1 institution in 1 country.

Sarah L PicardoDepartment of Medical Oncology, Princess Margaret Cancer Centre, 700 University Avenue, Toronto, ON M5G 1X6, Canada.
Jeffrey DoiDepartment of Pharmacy, Princess Margaret Cancer Centre, 610 University Avenue, Toronto, ON M5G 2M9, Canada.
Aaron R HansenDepartment of Medical Oncology, Princess Margaret Cancer Centre, 700 University Avenue, Toronto, ON M5G 1X6, Canada.
Princess Margaret Cancer Centre · CA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

With the advent of checkpoint inhibitor treatment for various cancer types, the optimization of drug selection, pharmacokinetics and biomarker assays is an urgent and as yet unresolved dilemma for clinicians, pharmaceutical companies and researchers. Drugs which inhibit cytotoxic T-lymphocyte associated protein-4 (CTLA-4), such as ipilimumab and tremelimumab, programmed cell death protein-1 (PD-1), such as nivolumab and pembrolizumab, and programmed cell death ligand-1 (PD-L1), such as atezolizumab, durvalumab and avelumab, each appear to have varying pharmacokinetics and clinical activity in different cancer types. Each drug differs in terms of dosing, which becomes an issue when drug comparisons are attempted. Here, we examine the various checkpoint inhibitors currently used and in development. We discuss the antibodies and their protein targets, their pharmacokinetics as measured in various tumor types, and their binding affinities to their respective antigens. We also examine the various dosing regimens for these drugs and how they differ. Finally, we examine new developments and methods to optimize delivery and efficacy in the field of checkpoint inhibitors, including non-fucosylation, prodrug formations, bispecific antibodies, and newer small molecule and peptide checkpoint inhibitors.

Indexed as

checkpoint inhibitors 1drug optimization 4pharmacokinetics 3protein structure 2

Identifiers

PMID31877721
PMCPMC7017177
OpenAlexW2996522289

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.