Evidence map›Paper›PMID 35321285›Full record

ArticleWorld journal of gastrointestinal oncology2022

O

Yue-Xia Chen, Lu-Lu He, Xue-Ping Xiang, Jing Shen, Hong-Yan Qi

Abstract read
In one paragraph

Article in World journal of gastrointestinal oncology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

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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

5 authors.

Yue-Xia ChenDepartment of Pathology and Pathophysiology and Department of Radiation Oncology of the Second Affiliated Hospital, University School of Medicine, Zhejiang University, Hangzhou 310058, Zhejiang Province, China.
Lu-Lu HeDepartment of Pathology and Pathophysiology and Department of Radiation Oncology of the Second Affiliated Hospital, University School of Medicine, Zhejiang University, Hangzhou 310058, Zhejiang Province, China.
Xue-Ping XiangDepartment of Pathology, the Second Affiliated Hospital, Zhejiang University, Hangzhou 310058, Zhejiang Province, China.
Jing ShenDepartment of Pathology and Pathophysiology andDepartment of Medical Oncology of the Second Affiliated Hospital, Zhejiang University School of Medicine, Zhejiang University, Hangzhou 310058, Zhejiang Province, China.
Hong-Yan QiDepartment of Pathology and Pathophysiology and Department of Radiation Oncology of the Second Affiliated Hospital, University School of Medicine, Zhejiang University, Hangzhou 310058, Zhejiang Province, China. qihongyan@zju.edu.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundO

aimTo investigate the molecular regulatory mechanism of MGMT in NOCs-induced gastric cell malignant transformation and tumorigenesis.

methodsWe established a gastric epithelial cell malignant transformation model induced by N-methyl-N'-nitro-N-nitrosoguanidine (MNNG) or N-methyl-N-nitroso-urea (MNU) treatment. Cell proliferation, colony formation, soft agar, cell migration, and xenograft assays were used to verify the malignant phenotype. By using quantitative real-time polymerase chain reaction (qPCR) and Western blot analysis, we detected the MGMT expression in malignant transformed cells. We also confirmed the MGMT expression in early stage gastric tumor tissues by qPCR and immunohistochemistry.

resultsWe observed a constant increase in MGMT mRNA and protein expression in gastric epithelial cell malignant transformation induced by MNNG or MNU treatment. Moreover, we found a reduction of

conclusionOur finding indicated that MGMT upregulation is induced

Indexed as

DNA methylationEpigenetic regulationGastric carcinogenesisMalignant transformationO6-methylguanine-DNA methyltransferase

Identifiers

PMID35321285
PMCPMC8919019

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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.