Evidence map›Paper›PMID 33095797›Full record

ArticlePloS one2020

Protein expression-based classification of gastric cancer by immunohistochemistry of tissue microarray.

Chong Zhao, Zhiqiang Feng, Hongzhen He, Dan Zang, Hong Du, Hongli Huang, Yanlei Du, Jie He, Yongjian Zhou, Yuqiang Nie

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in PloS one, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed, 1 pooled it
0.9field-weighted citation impact, top 21% of its field
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

11 citing papers in PubMed, 1 synthesis or guideline pooled it, 13 citations in OpenAlex.

  1. Pooled it
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  11. Implementing an integrated molecular classification for gastric cancer from endoscopic biopsies using on-slide tests.Romanian journal of morphology and embryology = Revue roumaine de morphologie et embryologie
    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

10 authors at 2 institutions in 1 country.

Chong ZhaoDepartment of Gastroenterology, Guangzhou First People's Hospital, Medical School, South China University of Technology, Guangzhou, China.
Zhiqiang FengDepartment of Gastroenterology, Guangzhou First People's Hospital, Medical School, South China University of Technology, Guangzhou, China.
Hongzhen HeDepartment of Gastroenterology, Guangzhou First People's Hospital, Medical School, South China University of Technology, Guangzhou, China.
Dan ZangDepartment of Pathology, The First Affiliated Hospital of Xinxiang Medical University, Xinxiang, China.
Hong DuDepartment of Pathology, Guangzhou First People's Hospital, Medical School, South China University of Technology, Guangzhou, China.
Hongli HuangDepartment of Gastroenterology, Guangzhou First People's Hospital, Medical School, South China University of Technology, Guangzhou, China.
Yanlei DuDepartment of Gastroenterology, Guangzhou First People's Hospital, Medical School, South China University of Technology, Guangzhou, China.
Jie HeDepartment of Gastroenterology, Guangzhou First People's Hospital, Medical School, South China University of Technology, Guangzhou, China.
Yongjian ZhouDepartment of Gastroenterology, Guangzhou First People's Hospital, Medical School, South China University of Technology, Guangzhou, China.
Yuqiang NieDepartment of Gastroenterology, Guangzhou First People's Hospital, Medical School, South China University of Technology, Guangzhou, China.ORCID 0000-0001-7037-5340
Guangzhou First People's Hospital · CNFirst Affiliated Hospital of Xinxiang Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Recently, the Cancer Genome Atlas and Asian Cancer Research Group propose two new classifications system of gastric cancer by using multi-platforms of molecular analyses. However, these highly complicated and cost technologies have not yet been translated into full clinical utility. In addition, the clinicians are expected to gain more guidance of treatment for different molecular subtypes. In this study, we developed a panel of gastric cancer patients in population from Southern China using commercially accessible TMA and immunohistochemical technology. A cohort of 259 GC patients was classified into 4 subtypes on the basis of expression of mismatch repair proteins (PMS2, MLH1, MSH2, and MSH6), E-cadherin and p21 protein. We observed that the subtypes presented distinct prognosis. dMMR-like subtype was associated with the best prognosis, and E-cadherin-a subtype was associated with the worst prognosis. Patients with p21-High and p21-Ligh subtypes had intermediate overall survival. In multivariate analysis, the dMMR-like subtype remained an independent prediction power for overall survival in the model. We described a molecular classification of gastric cancers using clinically applicable assay. The biological relevance of the four subtypes was illustrated by significant differences in prognosis. Our molecular classification provided an effective and inexpensive screening tool for improving prognostic models. Nevertheless, our study should be considered preliminary and carries a limited predictive value as a single-center retrospective study.

Indexed as

AdultAgedAged, 80 and overAntigens, CDBiomarkers, TumorCadherinsChinaCohort StudiesCyclin-Dependent Kinase Inhibitor p21DNA-Binding ProteinsDNA Mismatch RepairFemaleHumansImmunohistochemistryMaleMiddle AgedAntigens, CDBiomarkers, TumorCadherinsCDH1 protein, humanCDKN1A protein, humanCyclin-Dependent Kinase Inhibitor p21DNA-Binding ProteinsG-T mismatch-binding proteinMismatch Repair Endonuclease PMS2MLH1 protein, humanMSH2 protein, humanMutL Protein Homolog 1MutS Homolog 2 ProteinNeoplasm ProteinsPMS2 protein, human

Identifiers

PMID33095797
PMCPMC7584200
OpenAlexW3093962128

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LicenceCC BY
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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.