Evidence map›Paper›PMID 32817133›Full record

ReviewESMO open2020

Current status and future potential of predictive biomarkers for immune checkpoint inhibitors in gastric cancer.

Byung Woog Kang, Ian Chau

Open access · goldAbstract readReview
In one paragraph

Review in ESMO open, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 33 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
33citing papers in PubMed, 2 pooled it
2.6field-weighted citation impact, top 8% 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

33 citing papers in PubMed, 2 syntheses or guidelines pooled it, 48 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Review
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  10. T-betNature communications · 2025
    Article
  11. Article
  12. Review
  13. Review
  14. Article
  15. Review
  16. Article
  17. Immunotherapy for advanced gastric cancer.World journal of methodology · 2023
    Review
  18. Article
  19. Article
  20. Current trends in perioperative treatment of resectable gastric cancer.World journal of gastrointestinal surgery · 2023
    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

2 authors at 2 institutions in 2 countries.

Byung Woog KangDepartment of Oncology/Hematology, Kyungpook National University Hospital, School of Medicine, Kyungpook National University, Daegu, Republic of Korea.
Ian ChauDepartment of Medicine, Royal Marsden Hospital, London and Surrey, UK ian.chau@rmh.nhs.uk.ORCID 0000-0003-0286-8703
Kyungpook National University Hospital · KRRoyal Marsden NHS Foundation Trust · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Immunotherapy is revolutionising cancer treatment and has already emerged as standard treatment for patients with recurrent or metastatic gastric cancer (GC). Recent research has been focused on identifying robust predictive biomarkers for GC treated with immune checkpoint inhibitors (ICIs). The expression of programmed cell death protein-ligand-1 (PD-L1) is considered a manifestation of immune response evasion, and several studies have already reported the potential of PD-L1 expression as a predictive parameter for various human malignancies. Meanwhile, based on comprehensive molecular characterisation of GC, testing for Epstein-Barr virus and microsatellite instability is a potential predictive biomarker. Culminating evidence suggests that novel biomarkers, such as the tumour mutational burden and gene expression signature, could indicate the success of treatment with ICIs. However, the exact roles of these biomarkers in GC treated with ICIs remain unclear. Therefore, this study reviews recent scientific data on current and emerging biomarkers for ICIs in GC, which have potential to improve treatment outcomes.

Indexed as

Stomach NeoplasmsB7-H1 AntigenEpstein-Barr Virus InfectionsHerpesvirus 4, HumanHumansImmune Checkpoint InhibitorsB7-H1 AntigenImmune Checkpoint Inhibitorsgastric cancerimmunotherapy

Identifiers

PMID32817133
PMCPMC7440716
OpenAlexW3050696755

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.