Evidence map›Paper›PMID 32468041›Full record

ArticleMolecular medicine reports2020

Clinical characteristics and prognostic significance of TCGA and ACRG classification in gastric cancer among the Chinese population.

Qiang Wang, Qi Xie, Yang Liu, Honghai Guo, Yingchun Ren, Jianke Li, Qun Zhao

Abstract read
In one paragraph

Article in Molecular medicine reports, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
23citing 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

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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, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Review
  3. Explainable Deep Learning of Transcriptomes Prioritizes Candidate Biomarkers With Preferential Performance in Gastric Cardia Cancer Cohorts.FASEB journal : official publication of the Federation of American Societies for Experimental Biology · 2026
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  6. Predictive value ofBMC cancer · 2025
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  12. Research advances in the molecular classification of gastric cancer.Cellular oncology (Dordrecht, Netherlands) · 2024
    Review
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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

7 authors.

Qiang WangDepartment of Thoracic Surgery, The First Hospital of Hebei Medical University, Shijiazhuang, Hebei 050031, P.R. China.
Qi XieDepartment of Clinical Nutrition, The Fourth Hospital of Hebei Medical University, Shijiazhuang, Hebei 050011, P.R. China.
Yang LiuThird Department of General Surgery, The Fourth Hospital of Hebei Medical University, Shijiazhuang, Hebei 050011, P.R. China.
Honghai GuoThird Department of General Surgery, The Fourth Hospital of Hebei Medical University, Shijiazhuang, Hebei 050011, P.R. China.
Yingchun RenDepartment of Thoracic Surgery, The First Hospital of Hebei Medical University, Shijiazhuang, Hebei 050031, P.R. China.
Jianke LiDepartment of Thoracic Surgery, The First Hospital of Hebei Medical University, Shijiazhuang, Hebei 050031, P.R. China.
Qun ZhaoThird Department of General Surgery, The Fourth Hospital of Hebei Medical University, Shijiazhuang, Hebei 050011, P.R. China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Molecular classifications of gastric cancer (GC) by the Asian Cancer Research Group (ACRG) and The Cancer Genome Atlas Consortium (TCGA) are useful for diagnosis and treatment of GC. However, their clinical significance is unknown. The present study aims to explore the associations between subtypes of GC and prognosis of patients with GC. Immunohistochemistry (IHC) was used in the ACRG molecular classification of GC, while next‑generation sequencing technology was used in TCGA molecular classification. The results indicated that, out of a total of 65 cases of GC, some were classified as Epstein‑Barr virus positive type (9.2%, 6 of 65), some as microsatellite instability (MSI) type (23.1%, 15 of 65), some as gene stable type (21.5%, 14 of 65) and some as chromosome instability type (46.2%, 30 of 65) according to TCGA typing standard. Of the total 65 GC cases, some were classified as MSI (21.5%, 14 of 65), some as microsatellite stable/epithelial‑mesenchymal transition (MSS/EMT; 20.0%, 13 of 65), some as MSS/tumor protein 53 active (TP53+; 15.4%, 10 of 65) and some as MSS/TP53 inactive (43.1%, 28 of 65) according to ACRG typing standard. ARCG molecular subtype (P=0.010) and Lauren classification (P=0.011) were independently correlated with the overall survival of patients with GC. In conclusion, TCGA classification based on a Chinese population is the same as TCGA typing based on a European population in terms of proportion and clinical characteristics, but there are differences in gene amplification and gene mutation. ACRG molecular classification could be performed by IHC analysis and may be a valuable independent prognostic marker for patients with GC.

Indexed as

AdultAgedAged, 80 and overAsian PeopleBiomarkers, TumorDatabases, GeneticFemaleGenomicsHigh-Throughput Nucleotide SequencingHumansImmunohistochemistryKaplan-Meier EstimateMaleMiddle AgedMolecular EpidemiologyMolecular TypingBiomarkers, TumorAsian Cancer Research Groupgastric cancerimmunohistochemical stainingnext‑generation sequencingprognosisThe Cancer Genome Atlas Consortium

Identifiers

PMID32468041
PMCPMC7346591

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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.