Evidence map›Paper›PMID 35619651›Full record

ArticleFrontiers in cellular and infection microbiology2022

A Multi-Omics Study on the Effect of Helicobacter Pylori-Related Genes in the Tumor Immunity on Stomach Adenocarcinoma.

Xinrui Wu, Aiwen Jian, Haidan Tang, Wangrui Liu, Fengyuan Liu, Shifan Liu, Huiqun Wu

Open access · goldAbstract read
In one paragraph

Article in Frontiers in cellular and infection microbiology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
3.7field-weighted citation impact, top 6% 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

12 citing papers in PubMed, 17 citations in OpenAlex.

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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 at 3 institutions in 1 country.

Xinrui WuDepartment of Clinical Medicine, Medical School of Nantong University, Nantong, China.
Aiwen JianSchool of Basic Medical Sciences, Shandong University, Jinan, China.
Haidan TangAffiliated Hospital of Youjiang Medical University for Nationalities, Baise, China.
Wangrui LiuAffiliated Hospital of Youjiang Medical University for Nationalities, Baise, China.
Fengyuan LiuDepartment of Clinical Medicine, Medical School of Nantong University, Nantong, China.
Shifan LiuDepartment of Medical Imaging, Medical School of Nantong University, Nantong, China.
Huiqun WuDepartment of Medical Informatics, Medical School of Nantong University, Nantong, China.
Nantong University · CNAffiliated Hospital of Youjiang Medical University for Nationalities · CNShandong University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Methods: HP infection-induced mutation patterns of STAD samples from six cohorts were comprehensively assessed based on 73 HP-related genes, which were then correlated with the immune cell-infiltrating characteristics of the tumor microenvironment (TME). The risk signature was constructed to quantify the influence of HP infection on individual tumors. Subsequently, an accurate nomogram was generated to improve the clinical applicability of the risk signature. We conducted immunohistochemical experiments and used the Affiliated Hospital of Youjiang Medical University for Nationalities (AHYMUN) cohort data set with survival information to further verify the clinical value of this risk signature. Results: Two distinct HP-related mutation patterns with different immune cell-infiltrating characteristics (ICIC) and survival possibility were identified. We demonstrated that the evaluation of HP infection-induced mutation patterns of tumor could assist the prediction of stages, phenotypes, stromal activity, genetic diversity, and patient prognosis. A low risk score involved an increased mutation burden and activation of immune responses, with a higher 5-year survival rate and enhanced response to anti-PD-1/L1 immunotherapy, while a high risk score involved stromal activation and poorer survival. The efficiency of the risk signature was further evidenced by the nomogram. Conclusions: STAD patients with a low risk score demonstrated significant therapeutic advantages and clinical benefits. HP infection-induced mutations play a nonnegligible role in STAD development. Quantifying the HP-related mutation patterns of individual tumors will contribute to phenotype classification, guide more effective targeted and personalized therapies, and enable more accurate predictions of metastasis and prognosis.

Indexed as

AdenocarcinomaHelicobacter InfectionsHelicobacter pyloriStomach NeoplasmsHumansTumor MicroenvironmentHelicobacter pyloriimmunotherapymultiomics studymutation burdentumor immunity

Identifiers

PMID35619651
PMCPMC9127319
OpenAlexW4229452492

What OpenQuestion holds

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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.