Evidence map›Paper›PMID 32685487›Full record

ArticleBioMed research international2020

Potential Prognostic Value and Mechanism of Stromal-Immune Signature in Tumor Microenvironment for Stomach Adenocarcinoma.

Xinying Zhu, Xiaoli Xie, Qingchao Zhao, Lixian Zhang, Changjuan Li, Dongqiang Zhao

Open access · hybridAbstract read
In one paragraph

Article in BioMed research international, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
1.4field-weighted citation impact, top 16% 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

10 citing papers in PubMed, 14 citations in OpenAlex.

  1. Article
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  6. Identification of 8-gene risk prediction signature associated withJournal of gastrointestinal oncology · 2022
    Article
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  9. The Prognostic Model and Drug Sensitivity ofFrontiers in molecular biosciences · 2022
    Article
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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

6 authors at 2 institutions in 1 country.

Xinying ZhuDepartment of Gastroenterology, Second Hospital of Hebei Medical University, Shijiazhuang, 050000 Hebei Province, China.ORCID https://orcid.org/0000-0003-2163-3715
Xiaoli XieDepartment of Gastroenterology, Second Hospital of Hebei Medical University, Shijiazhuang, 050000 Hebei Province, China.
Qingchao ZhaoDepartment of Gastroenterology, Second Hospital of Baoding, Baoding, 071051 Hebei Province, China.
Lixian ZhangDepartment of Gastroenterology, Second Hospital of Hebei Medical University, Shijiazhuang, 050000 Hebei Province, China.
Changjuan LiDepartment of Gastroenterology, Second Hospital of Hebei Medical University, Shijiazhuang, 050000 Hebei Province, China.
Dongqiang ZhaoDepartment of Gastroenterology, Second Hospital of Hebei Medical University, Shijiazhuang, 050000 Hebei Province, China.ORCID https://orcid.org/0000-0003-3470-448X
Hebei Medical University · CNBaoding People's Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Stomach adenocarcinoma (STAD) is one of the most common malignancies. But the molecular mechanism is unknown. In this study, we downloaded the transcriptional profiles and clinical data of 344 STAD and 30 normal samples from The Cancer Genome Atlas (TCGA) database. Stromal and immune scores of STAD were calculated by the Estimation of Stromal and Immune cells in Malignant Tumor tissues using Expression data (ESTIMATE) algorithm, and association of stromal/immune scores with tumor differentiation/T/N/M stage and survival was investigated. The differentially expressed genes (DEGs) between high and low score groups (based on media) were identified, and prognostic genes over-/underexpressed in both STAD and stromal/immune signature were retrieved. Furthermore, proportions of 22 infiltrating immune cells for the cohort from TCGA were estimated by the Cell-type Identification By Estimating Relative Subsets Of RNA Transcripts (CIBERSORT) algorithm, and association of 22 immune cells with tumor differentiation/T/N/M stage and survival was investigated. Next, coexpression analysis of 22 immune cells and intersection genes over-/underexpressed in both STAD and stromal signature was conducted. We found high stromal and immune scores and macrophage infiltration predicting poor tumor differentiation and severe local invasion, obtained a list of prognostic genes based on stromal-immune signature, and explored the interaction of collagen, chemokines such as CXCL9, CXCL10, and CXCL11, and macrophage through coexpression analysis and may provide novel prognostic biomarkers and immunotherapeutic targets for STAD.

Indexed as

Gene Expression ProfilingGene Expression Regulation, NeoplasticAdenocarcinomaHumansNeoplasm ProteinsPrognosisStomach NeoplasmsTumor MicroenvironmentNeoplasm Proteins

Identifiers

PMID32685487
PMCPMC7335387
OpenAlexW3038089603

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.