Evidence map›Paper›PMID 31495054›Full record

ReviewCancer science2019

Dissection of gastric cancer heterogeneity for precision oncology.

Shamaine Wei Ting Ho, Patrick Tan

Abstract readReview
In one paragraph

Review in Cancer science, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 71 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
71citing papers in PubMed, 1 pooled it
–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

71 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Trial
  3. Article
  4. Article
  5. Article
  6. Expression and clinical significance ofJournal of gastrointestinal oncology · 2025
    Article
  7. Article
  8. Article
  9. Article
  10. Review
  11. Article
  12. Review
  13. GCclassifier: An R package for the prediction of molecular subtypes of gastric cancer.Computational and structural biotechnology journal · 2024
    Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Review
  19. Review
  20. Article

11 more citing papers are in PubMed but not listed here.

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.

Shamaine Wei Ting HoCancer Science Institute of Singapore, National University of Singapore, Singapore.ORCID https://orcid.org/0000-0002-2595-0710
Patrick TanCancer Science Institute of Singapore, National University of Singapore, Singapore.

Funding

National Medical Research Council NMRC/STaR/0026/2015
6 · The paper itself

Abstract

Gastric cancer (GC) remains the fifth most prevalent cancer worldwide and the third leading cause of global cancer mortality. Comprehensive -omic studies have unveiled a heterogeneous GC landscape, with considerable molecular diversity both between and within tumors. Given the complex nature of GC, a long-sought goal includes effective identification of distinct patient subsets with prognostic and/or predictive outcomes to enable tailoring of specific treatments ("precision oncology"). In this review, we highlight various approaches to molecular classification in GC, covering recent genomic, transcriptomic, proteomic and epigenomic features. We pay special attention to the translational significance of classifier systems and examine potential confounding factors which deserve further investigation. In particular, we discuss recent advancements in our knowledge of intra-subtype, intra-patient and intra-tumor heterogeneity, and the pivotal role of the tumor stromal microenvironment.

Indexed as

Precision MedicineDissectionEpigenesis, GeneticGenomicsHigh-Throughput Nucleotide SequencingHumansMedical OncologyPrognosisProteomicsStomach NeoplasmsTranscriptomeTranslational Research, BiomedicalTumor Microenvironmentgastric cancermolecular classificationtranslational researchtumor heterogeneitytumor microenvironment

Identifiers

PMID31495054
PMCPMC6825006

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.