Evidence map›Paper›PMID 31444294›Full record

ReviewThe oncologist2019

Programmed Cell Death Ligand 1 in Breast Cancer: Technical Aspects, Prognostic Implications, and Predictive Value.

Federica Miglietta, Gaia Griguolo, Valentina Guarneri, Maria Vittoria Dieci

Open access · bronzeAbstract readReview
In one paragraph

Review in The oncologist, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers.

0numbers the graph read from it
0cells of the map it votes in
28citing papers in PubMed
3.2field-weighted citation impact, top 7% 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

28 citing papers in PubMed, 42 citations in OpenAlex.

  1. Review
  2. Observational
  3. Article
  4. Understanding the role of TNFR2 signaling in the tumor microenvironment of breast cancer.Journal of experimental & clinical cancer research : CR · 2024
    Review
  5. Article
  6. Article
  7. Article
  8. Article
  9. Review
  10. Review
  11. Review
  12. Review
  13. Article
  14. Article
  15. Review
  16. Article
  17. Article
  18. Review
  19. Review
  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

4 authors at 1 institution in 1 country.

Federica MigliettaDepartment of Surgery, Oncology and Gastroenterology, University of Padova, Padova, Italy.
Gaia GriguoloDepartment of Surgery, Oncology and Gastroenterology, University of Padova, Padova, Italy.
Valentina GuarneriDepartment of Surgery, Oncology and Gastroenterology, University of Padova, Padova, Italy valentina.guarneri@unipd.it.
Maria Vittoria DieciDepartment of Surgery, Oncology and Gastroenterology, University of Padova, Padova, Italy.
University of Padua · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In the light of recent advances in the immunotherapy field for breast cancer (BC) treatment, especially in the triple-negative subtype, the identification of reliable biomarkers capable of improving patient selection is paramount, because only a portion of patients seem to derive benefit from this appealing treatment strategy. In this context, the role of programmed cell death ligand 1 (PD-L1) as a potential prognostic and/or predictive biomarker has been intensively explored, with controversial results. The aim of the present review is to collect available evidence on the biological relevance and clinical utility of PD-L1 expression in BC, with particular emphasis on technical aspects, prognostic implications, and predictive value of this promising biomarker. IMPLICATIONS FOR PRACTICE: In the light of the promising results coming from trials of immune checkpoint inhibitors for breast cancer treatment, the potential predictive and/or prognostic role of programmed cell death ligand 1 (PD-L1) in breast cancer has gained increasing interest. This review provides clinicians with an overview of the available clinical evidence regarding PD-L1 as a biomarker in breast cancer, focusing on both data with a possible direct impact on clinic and methodological pitfalls that need to be addressed in order to optimize PD-L1 implementation as a clinically useful tool for breast cancer management.

Indexed as

Antineoplastic Agents, ImmunologicalB7-H1 AntigenBiomarkers, TumorBreast NeoplasmsFemaleHumansImmunotherapyPatient SelectionPrognosisAntineoplastic Agents, ImmunologicalB7-H1 AntigenBiomarkers, TumorCD274 protein, humanBiomarkersBreast cancerImmune checkpoint inhibitorsImmunotherapyPatient selectionProgrammed cell death ligand 1

Identifiers

PMID31444294
PMCPMC6853089
OpenAlexW2969621080

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.