Evidence map›Paper›PMID 36193316›Full record

ArticleBioMed research international2022

Integrated Analyses of m6A Regulator-Based Signature on Its Clinical Application and Immunogenomic Landscape in Stomach Adenocarcinoma.

Lan Zhang, Qing Zhang, Zebo Huang, Mingxia Zhu, Tongshan Wang, Wei Zhu, Xiaping Wang, Xin Zhou

Open access · hybridAbstract read
In one paragraph

Article in BioMed research international, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
0.2field-weighted citation impact, top 52% 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

0 citing papers in PubMed, 2 citations in OpenAlex.

No citing paper in PubMed yet.

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

8 authors at 6 institutions in 1 country.

Lan Zhang *Department of Radiation Oncology, Shanghai Tenth People's Hospital of Tongji University, Shanghai, China.
Qing Zhang *Department of Neurosurgery, Xinghua People's Hospital, Xinghua, 225700 Jiangsu, China.
Zebo Huang *Department of Oncology, The Affiliated Hospital of Jiangnan University, Wuxi 214062, China.
Mingxia Zhu *Department of Radiation Oncology, The First Affiliated Hospital of Soochow University, Suzhou 215006, China.
Tongshan WangDepartment of Oncology, First Affiliated Hospital of Nanjing Medical University, Nanjing 210029, China.
Wei ZhuDepartment of Oncology, First Affiliated Hospital of Nanjing Medical University, Nanjing 210029, China.ORCID https://orcid.org/0000-0002-5744-5962
Xiaping WangDepartment of Pathology, The Second Affiliated Hospital of Nanjing Medical University, Nanjing 210000, China.ORCID https://orcid.org/0000-0002-9180-341X
Xin ZhouDepartment of Oncology, First Affiliated Hospital of Nanjing Medical University, Nanjing 210029, China.ORCID https://orcid.org/0000-0002-6566-9018
Jiangsu Province Hospital · CNJiangnan University · CNSecond Affiliated Hospital of Nanjing Medical University · CNSoochow University · CNTongji University · CNXintai People's Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: The whole tumor microenvironment (TME) infiltration features monitored by integrated roles of different RNA N6-methyladenosine (m6A) regulators remain elusive. Our study is aimed at exploring the association between m6A modification patterns, TME cell-infiltrating levels, and patients' prognosis in stomach adenocarcinoma (STAD) patients. Methods: Consensus clustering was performed based on the integrated analyses of 17 m6A regulators and 229 m6A-related hallmark genes in STAD (The Cancer Genome Atlas (TCGA) cohort, Results: Three m6A clusters were identified among 1246 STAD patients, which had significant overall survival (OS) differences and demonstrated different TME immune cell infiltration and biological behaviors. According to the m6ASig score, which was generated from the m6A-related hallmark genes, STAD patients were divided into the high-m6ASig group ( Conclusion: Our m6ASig scoring system could characterize TME immune cell infiltration, thus predict patient's prognosis and immunotherapy and chemotherapy efficacy, offering a novel tool for the individualized therapeutic implications for STAD patients.

Indexed as

AdenocarcinomaStomach NeoplasmsB7-H1 AntigenCTLA-4 AntigenHumansRNATumor MicroenvironmentB7-H1 AntigenCTLA-4 AntigenRNA

Identifiers

PMID36193316
PMCPMC9526603
OpenAlexW4296493361

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.