Evidence map›Paper›PMID 31803306›Full record

ReviewGastroenterology research2019

Molecular Classification of Gastric Adenocarcinoma.

Qianqian Wang, Ganglei Liu, Chunhong Hu

Abstract readReview
PubMed Full text at PMC Publisher
In one paragraph

Review in Gastroenterology research, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 52 papers.

0numbers the graph read from it
0cells of the map it votes in
52citing 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

52 citing papers in PubMed.

  1. Review
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  12. Gastric Cancer Genetics and Its Implications for Diagnosis, Prognosis, and Treatment of the Disease.The Korean journal of helicobacter and upper gastrointestinal research · 2024
    Review
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  20. Immunotherapy for advanced gastric cancer.World journal of methodology · 2023
    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

3 authors.

Qianqian WangDepartment of Oncology, The Second Xiangya Hospital, Central South University, Changsha, Hunan 410011, China.
Ganglei LiuDepartment of Geriatrics Surgery, The Second Xiangya Hospital, Central South University, Changsha, Hunan 410011, China.
Chunhong HuDepartment of Oncology, The Second Xiangya Hospital, Central South University, Changsha, Hunan 410011, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

As one of the leading causes of cancer-related deaths, gastric cancer (GC) has gained more and more attention. Although most GCs are adenocarcinomas, they have considerable heterogeneity among patients. Thus, appropriate classification and individualized treatment of GCs is essential. The traditional morphology-based classification systems including the World Health Organization (WHO) classification and the Lauren's classification have a limited utility in guiding clinical treatment due to the molecular heterogeneity of GC. Classifications based on molecular features become important. Recent years, molecular methods such as next-generation sequencing (NGS) including deoxyribonucleic acid (DNA) sequencing, ribonucleic acid (RNA) sequencing, whole-exome sequencing, copy number variation analysis and DNA methylation arrays have been used to classify the GC into molecular subtypes which can convey more detailed information of tumor than histopathological characteristics. In this review, we described the current molecular classifications of GC including the intrinsic subtypes, Lei subtypes, The Cancer Genome Atlas (TCGA) subtypes, Asian Cancer Research Group (ACRG) subtypes, and some other additional classifications.

Indexed as

Gastric cancerMolecular classificationPrognosis

Identifiers

PMID31803306
PMCPMC6879029

What OpenQuestion holds

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Registered trials

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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.