Evidence map›Paper›PMID 31371521›Full record

ArticleThe oncologist2019

Development and Validation of an Easy-to-Implement, Practical Algorithm for the Identification of Molecular Subtypes of Gastric Cancer: Prognostic and Therapeutic Implications.

Jiwon Koh, Keun-Wook Lee, Soo Kyung Nam, An Na Seo, Ji-Won Kim, Jin Won Kim, Do Joong Park, Hyung-Ho Kim, Woo Ho Kim, Hye Seung Lee

Abstract read
In one paragraph

Article in The oncologist, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed, 2 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

19 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Article
  4. Article
  5. Article
  6. Comprehensive histopathological analysis of gastric cancer in European and Latin America populations reveals differences in PDL1, HER2, p53 and MUC6 expression.Gastric cancer : official journal of the International Gastric Cancer Association and the Japanese Gastric Cancer Association · 2025
    Article
  7. Article
  8. Article
  9. A standardized pathology report for gastric cancer: 2nd edition.Journal of pathology and translational medicine · 2023
    Review
  10. Review
  11. Article
  12. Article
  13. Article
  14. Different effects of p53 protein overexpression on the survival of gastric cancer patients according to Lauren histologic classification: a retrospective study.Gastric cancer : official journal of the International Gastric Cancer Association and the Japanese Gastric Cancer Association · 2021
    Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. 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

10 authors.

Jiwon KohDepartment of Pathology, Seoul National University Hospital, Seoul, Republic of Korea.
Keun-Wook LeeDepartment of Internal Medicine, Seoul National University Bundang Hospital, Seongnam, Republic of Korea.
Soo Kyung NamDepartment of Pathology, Seoul National University Bundang Hospital, Seongnam, Republic of Korea.
An Na SeoDepartment of Pathology, School of Medicine, Kyungpook National University, Kyungpook National University Chilgok Hospital, Daegu, Republic of Korea.
Ji-Won KimDepartment of Internal Medicine, Seoul National University Bundang Hospital, Seongnam, Republic of Korea.
Jin Won KimDepartment of Internal Medicine, Seoul National University Bundang Hospital, Seongnam, Republic of Korea.
Do Joong ParkDepartment of Surgery, Seoul National University Bundang Hospital, Seongnam, Republic of Korea.
Hyung-Ho KimDepartment of Surgery, Seoul National University Bundang Hospital, Seongnam, Republic of Korea.
Woo Ho KimDepartment of Pathology, Seoul National University College of Medicine, Seoul, Republic of Korea.
Hye Seung LeeDepartment of Pathology, Seoul National University Bundang Hospital, Seongnam, Republic of Korea hye2@snu.ac.kr.ORCID 0000-0002-1667-7986

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundGastric cancer (GC) is a heterogeneous disease, and substantial efforts have been made to develop a molecular biology-based classification system for GC. Analysis of the genomic signature is not always feasible, and thus, we aimed to (i) develop and validate a practical immunohistochemistry (IHC)- and polymerase chain reaction (PCR)-based molecular classification of GC and (ii) to assess HER2 status according to this classification. MATERIALS AND

methodsA total of 894 consecutive patients with GC from two individual cohorts (training,

resultsWe were able to classify patients into five groups in the training cohort: group 1 (MSI

conclusionWe developed and validated a modified IHC- and PCR-based molecular classification system in GC, which showed significant impact on survival, irrespective of stage or other clinical variables. We also found close association between HER2 status and non-EMT phenotype in our classification system. IMPLICATIONS FOR PRACTICE: Molecular classification of gastric cancer suggested by previous studies mostly relies on extensive genomic data analysis, which is not always available in daily practice. The authors developed a simplified immunohistochemistry- and polymerase chain reaction-based molecular classification of gastric cancer and proved the prognostic significance of this classification, as well as the close association between HER2 status and certain groups of the classification, in the largest consecutive cohort of gastric cancer. Results of this study suggest that this scheme is a cost-effective, easy-to-implement, and feasible way of classifying gastric cancer in daily clinical practice, also serving as a practical tool for aiding therapeutic decisions and predicting prognosis.

Indexed as

AlgorithmsAdultAgedAged, 80 and overFemaleHumansMaleMiddle AgedPrognosisStomach NeoplasmsEpithelial‐mesenchymal transitionGastric cancerMicrosatellite instabilityMolecular classificationPrognosis

Identifiers

PMID31371521
PMCPMC6975942

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.