Evidence map›Paper›PMID 34249015›Full record

ArticleFrontiers in immunology2021

Screening and Validation of the Hypoxia-Related Signature of Evaluating Tumor Immune Microenvironment and Predicting Prognosis in Gastric Cancer.

Jun-Peng Pei, Chun-Dong Zhang, Maimaititusun Yusupu, Cheng Zhang, Dong-Qiu Dai

Open access · goldAbstract readEvaluation Study
In one paragraph

Article in Frontiers in immunology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 34 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
34citing papers in PubMed, 1 pooled it
4.0field-weighted citation impact, top 4% 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

34 citing papers in PubMed, 1 synthesis or guideline pooled it, 50 citations in OpenAlex.

  1. Pooled it
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  15. Genes · 2023
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  20. Three-dimensional core-shell alginate microsphere for cancer hypoxia simulationFrontiers in bioengineering and biotechnology · 2023
    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

5 authors at 1 institution in 2 countries.

Jun-Peng PeiDepartment of Gastrointestinal Surgery, The Fourth Affiliated Hospital of China Medical University, Shenyang, China.
Chun-Dong ZhangDepartment of Gastrointestinal Surgery, The Fourth Affiliated Hospital of China Medical University, Shenyang, China.
Maimaititusun YusupuDepartment of Gastrointestinal Surgery, The Fourth Affiliated Hospital of China Medical University, Shenyang, China.
Cheng ZhangDepartment of Gastrointestinal Surgery, The Fourth Affiliated Hospital of China Medical University, Shenyang, China.
Dong-Qiu DaiDepartment of Gastrointestinal Surgery, The Fourth Affiliated Hospital of China Medical University, Shenyang, China.
Fourth Affiliated Hospital of China Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Hypoxia is one driving factor of gastric cancer. It causes a series of immunosuppressive processes and malignant cell responses, leading to a poor prognosis. It is clinically important to identify the molecular markers related to hypoxia. Methods: We screened the prognostic markers related to hypoxia in The Cancer Genome Atlas database, and a risk score model was developed based on these markers. The relationships between the risk score and tumor immune microenvironment were investigated. An independent validation cohort from Gene Expression Omnibus was applied to validate the results. A nomogram of risk score model and clinicopathological factor was developed to individually predict the prognosis. Results: We developed a hypoxia risk score model based on SERPINE1 and EFNA3. Quantified real-time PCR was further applied to verified gene expressions of SERPINE1 and EFNA3 in gastric cancer patients and cell lines. A high-risk score is associated with a poor prognosis through the immunosuppressive microenvironment and immune escape mechanisms, including infiltration of immunosuppressive cells, expression of immune checkpoint molecules, and enrichment of signal pathways related to cancer and immunosuppression. The nomogram basing on the hypoxia-related risk score model showed a good ability to predict prognosis and high clinical net benefits. Conclusions: The hypoxia risk score model revealed a close relationship between hypoxia and tumor immune microenvironment. The current study potentially provides new insights of how hypoxia affects the prognosis, and may provide a new therapeutic target for patients with gastric cancer.

Indexed as

Databases, Nucleic AcidNeoplasm ProteinsPlasminogen Activator Inhibitor 1Stomach NeoplasmsTumor MicroenvironmentFemaleGene Expression Regulation, NeoplasticHumansMaleMiddle AgedPrognosisNeoplasm ProteinsPlasminogen Activator Inhibitor 1SERPINE1 protein, humangastric cancerhypoxianomogramprognosistumor immune microenvironment

Identifiers

PMID34249015
PMCPMC8267919
OpenAlexW3173809926

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.