Evidence map›Paper›PMID 37559976›Full record

ReviewAmerican journal of cancer research2023

Predictive biomarkers and new developments of immunotherapy in gastric cancer: a 2023 update.

Yanli Nie, Wei Zhao, Li Lu, Fuxiang Zhou

Abstract readReview
In one paragraph

Review in American journal of cancer research, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
–field-weighted citation impact
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

14 citing papers in PubMed.

  1. Article
  2. Review
  3. Review
  4. Article
  5. Viral oncogenesis in cancer: from mechanisms to therapeutics.Signal transduction and targeted therapy · 2025
    Review
  6. Review
  7. Article
  8. Article
  9. Effects of FAPCancer drug resistance (Alhambra, Calif.) · 2025
    Article
  10. Article
  11. Review
  12. Article
  13. Article
  14. 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.

Yanli NieDepartment of Gastrointestinal Medical Oncology, Hubei Cancer Hospital, Tongji Medical College, Huazhong University of Science and Technology Wuhan 430079, Hubei, China.
Wei ZhaoPLA Rocket Force Characteristic Medical Center Beijing 100088, China.
Li LuDepartment of Gastrointestinal Surgical Oncology, Hubei Cancer Hospital, Tongji Medical College, Huazhong University of Science and Technology Wuhan 430079, Hubei, China.
Fuxiang ZhouDepartment of Radiation Oncology and Medical Oncology, Zhongnan Hospital of Wuhan University Wuhan 430071, Hubei, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Gastric cancer is an extremely common digestive tract tumor. The promotion and application of standardized therapy, treatment scheme optimization, and development of new targeted drugs and immunotherapies have improved gastric cancer survival somewhat. However, gastric cancer prognosis generally remains non-optimistic. Immune checkpoint inhibitors (ICI) have gradually become a new choice for gastric cancer treatment and can prolong the survival of some patients. Among them, high-microsatellite instability, Epstein-Barr virus-positive status, or high-tumor mutational burden patients with gastric cancer may be the potential population to benefit from immunotherapy. Nevertheless, there remains a lack of unified and effective predictive markers. Accordingly, this review mainly focused on the possible predictive biomarkers of anti-PD-1/PD-L1 in gastric cancer treatment. Furthermore, the application of anti-PD-1/PD-L1 therapy-related clinical trials on gastric cancer is discussed. The current findings suggest that immunotherapy is a promising application in gastric cancer treatment. Therefore, combining immunotherapy and other therapies may be the trend in the future. Nevertheless, exploring biomarkers to predict ICI response remains a major challenge.

Indexed as

biomarkerGastric cancerimmune checkpoint inhibitorimmunotherapy

Identifiers

PMID37559976
PMCPMC10408463

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.