Evidence map›Paper›PMID 35422890›Full record

ArticleDisease markers2022

Identification and Validation of Immune Cells and Hub Genes in Gastric Cancer Microenvironment.

Huan Wang, Jianfang Rong, Qiaoyun Zhao, Conghua Song, Rulin Zhao, Sihai Chen, Yong Xie

Abstract read
In one paragraph

Article in Disease markers, 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

7 authors.

Huan WangThe First Affiliated Hospital of Nanchang University, Nanchang, 330006 Jiangxi Province, China.
Jianfang RongThe First Affiliated Hospital of Nanchang University, Nanchang, 330006 Jiangxi Province, China.
Qiaoyun ZhaoMedical College of Nanchang University, Nanchang, 330006 Jiangxi Province, China.
Conghua SongMedical College of Nanchang University, Nanchang, 330006 Jiangxi Province, China.
Rulin ZhaoThe First Affiliated Hospital of Nanchang University, Nanchang, 330006 Jiangxi Province, China.
Sihai ChenThe First Affiliated Hospital of Nanchang University, Nanchang, 330006 Jiangxi Province, China.
Yong XieThe First Affiliated Hospital of Nanchang University, Nanchang, 330006 Jiangxi Province, China.ORCID https://orcid.org/0000-0002-5290-5579

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Gastric cancer (GC) is the most common malignant tumor in the digestive system, traditional radiotherapy and chemotherapy are not effective for some patients. The research progress of immunotherapy seems to provide a new way for treatment. However, it is still urgent to predict immunotherapy biomarkers and determine novel therapeutic targets. In this study, the gene expression profiles and clinical data of 407 stomach adenocarcinoma (STAD) patients were downloaded from The Cancer Genome Atlas (TCGA) portal, and the abundance ratio of immune cells in each sample was obtained via the "Cell Type Identification by Estimating Relative Subsets of RNA Transcripts (CIBERSORT)" algorithm. Five immune cells were obtained as a result of abundance comparison, and 295 immune-related genes were obtained through differential gene analysis. Enrichment, protein interaction, and module analysis were performed on these genes. We identified five immune cells associated with infiltration and 20 hub genes, of which five genes were correlated with overall survival. Finally, we used Real-time PCR (RT-PCR) to detect the expression differences of the five hub genes in 18 pairs of GC and adjacent tissues. This research not only provides cellular and gene targets for immunotherapy of GC but also provides new ideas for researchers to explore immunotherapy for various tumors.

Indexed as

AdenocarcinomaStomach NeoplasmsHumansPrognosisTranscriptomeTumor Microenvironment

Identifiers

PMID35422890
PMCPMC9005323

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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.