Evidence map›Paper›PMID 34235004›Full record

ArticleOncoimmunology2021

The clinicopathological significance and predictive value for immunotherapy of programmed death ligand-1 expression in Epstein-Barr virus-associated gastric cancer.

Xiao-Li Wei, Qian-Wen Liu, Fu-Rong Liu, Sha-Sha Yuan, Xiao-Fen Li, Jia-Ning Li, An-Li Yang, Yi-Hong Ling

Open access · goldAbstract read
In one paragraph

Article in Oncoimmunology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed
1.9field-weighted citation impact, top 11% 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

23 citing papers in PubMed, 31 citations in OpenAlex.

  1. Review
  2. Article
  3. Efficacy of Immune Checkpoint Inhibitors and Oncoviruses in Solid Tumors.Clinical cancer research : an official journal of the American Association for Cancer Research · 2026
    Review
  4. Article
  5. Article
  6. Review
  7. Article
  8. Digestive cancers: mechanisms, therapeutics and management.Signal transduction and targeted therapy · 2025
    Review
  9. Therapeutic opportunities in EBV-positive gastric cancer subtypes.Therapeutic advances in medical oncology · 2025
    Review
  10. Review
  11. High Incidence of Gastric Cancer in El Salvador: A National Multisectorial Study during 2000 to 2014.Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology · 2024
    Article
  12. Review
  13. Review
  14. Article
  15. Article
  16. Article
  17. Review
  18. Predictive biomarkers in gastric cancer.Journal of cancer research and clinical oncology · 2023
    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

8 authors at 2 institutions in 1 country.

Xiao-Li WeiDepartment of Medical Oncology, Sun Yat-sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangzhou, China.
Qian-Wen LiuDepartment of Clinical Research, Sun Yat-sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangzhou, China.
Fu-Rong LiuDepartment of Clinical Research, Sun Yat-sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangzhou, China.
Sha-Sha YuanDepartment of Pathology, Sun Yat-sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangzhou, China.
Xiao-Fen LiDepartment of Abdominal Oncology, West China Hospital of Medicine, Sichuan University, Chengdu, Sichuan, China.ORCID 0000-0002-1064-768X
Jia-Ning LiDepartment of Clinical Research, Sun Yat-sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangzhou, China.
An-Li YangDepartment of Breast Oncology, Sun Yat-sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangzhou, China.
Yi-Hong LingDepartment of Pathology, Sun Yat-sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangzhou, China.
Sun Yat-sen University · CNSichuan University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The effect of anti-programmed cell death 1 (PD-1) antibody in Epstein-Barr virus-associated gastric cancer (EBVaGC) was debatable, and no predictive biomarkers for efficacy have been reported. Public reports on anti-PD-1 antibody monotherapy-treated EBVaGC with available programmed death ligand-1 (PD-L1) expression status were summarized and analyzed. Relevance with clinicopathologic characteristics of PD-L1 expression by immunohistochemistry was analyzed in 159 patients diagnosed with EBVaGC. Relevance with genomic transcriptome and mutation profile of PD-L1 status in EBVaGC was assessed with three datasets, the cancer genome atlas (TCGA), Gene Expression Omnibus (GEO) GSE51575, and GSE62254. Based on the data from 8 reports, patients with positive PD-L1 expression (n = 30) had significantly superior objective response rate (ORR) than patients with negative PD-L1 expression (n = 9) (63.3% vs. 0%,

Indexed as

Epstein-Barr Virus InfectionsStomach NeoplasmsB7-H1 AntigenHerpesvirus 4, HumanHumansImmunotherapyTumor MicroenvironmentB7-H1 AntigenbiomarkerEpstein-Barr virus-associated gastric cancerimmunotherapyProgrammed death ligand-1

Identifiers

PMID34235004
PMCPMC8216206
OpenAlexW3171414289

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.