Evidence map›Paper›PMID 33222057›Full record

ReviewThe AAPS journal2020

Keytruda and PD-L1: a Real-World Example of Co-development of a Drug with a Predictive Biomarker.

Kenneth Emancipator

Abstract readReview
PubMed Publisher
In one paragraph

Review in The AAPS journal, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed, 2 pooled it
1.8field-weighted citation impact, top 13% 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

21 citing papers in PubMed, 2 syntheses or guidelines pooled it, 31 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Trial
  4. Trial
  5. Trial
  6. Article
  7. Review
  8. Article
  9. Article
  10. Article
  11. Article
  12. Review
  13. Review
  14. Review
  15. Article
  16. Review
  17. Article
  18. Article
  19. Review
  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

1 author at 1 institution in 1 country.

Kenneth EmancipatorDepartment of Translational Medicine, Merck & Co., Inc, 2000 Galloping Hill Road, Kenilworth, New Jersey, 07033, USA. kenneth.emancipator@merck.com.
Merck & Co., Inc., Rahway, NJ, USA (United States) · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Pembrolizumab, an anti-programmed death 1 monoclonal antibody, underwent a rapid clinical development program for the treatment of patients with malignancies in parallel to the development of a companion diagnostic for detecting programmed death ligand 1 (PD-L1) expression, which was considered to be a likely biomarker for response and cancer outcome. When investigating outcomes in patients with non-small cell lung cancer (NSCLC) treated with pembrolizumab, PD-L1 tumor proportion score (TPS) was initially identified as a marker of clinical efficacy, with a cutoff of ≥ 50%. This threshold was later reduced to TPS ≥ 1%, which demonstrated that pembrolizumab offered a clinical benefit in a broader population of patients with PD-L1-expressing tumors. As new evidence emerged, it also became clear that immune cell PD-L1 expression has an important role in predicting tumor response in patients treated with pembrolizumab; the combined positive score (CPS), which accounts for both tumor and immune cell PD-L1 expression, was then applied in clinical studies for indications outside of NSCLC. This review summarizes the outcomes of landmark studies in the KEYNOTE clinical development program that investigated the efficacy of pembrolizumab in patients with a variety of malignancies, the relative outcomes when patients were stratified by PD-L1 status, and how these observations have influenced the approved indications for pembrolizumab.

Indexed as

Drug DevelopmentAntibodies, Monoclonal, HumanizedB7-H1 AntigenBiomarkers, TumorHumansNeoplasmsPatient SelectionPrognosisProgrammed Cell Death 1 ReceptorProgression-Free SurvivalReference ValuesAntibodies, Monoclonal, HumanizedB7-H1 AntigenBiomarkers, TumorCD274 protein, humanPDCD1 protein, humanpembrolizumabProgrammed Cell Death 1 Receptorcancercompanion diagnosticimmunotherapypembrolizumabprogrammed death ligand 1

Identifiers

PMID33222057
OpenAlexW3107378798

What OpenQuestion holds

Textmetadata
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.