Evidence map›Paper›PMID 36625357›Full record

ArticleCancer control : journal of the Moffitt Cancer Center

Construction and Validation of a Novel Immune-Related Gene Pairs-Based Prognostic Model in Lung Adenocarcinoma.

Yafeng Liu, Jiawei Zhou, Jing Wu, Xin Zhang, Jianqiang Guo, Yingru Xing, Jun Xie, Ying Bai, Dong Hu

Open access · goldAbstract read
In one paragraph

Article in Cancer control : journal of the Moffitt Cancer Center. 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
0.3field-weighted citation impact, top 41% 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, 1 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

9 authors at 1 institution in 1 country.

Yafeng LiuSchool of Medicine, 91594Anhui University of Science and Technology, Huainan, China.ORCID 0000-0003-3930-4872
Jiawei ZhouSchool of Medicine, 91594Anhui University of Science and Technology, Huainan, China.
Jing WuSchool of Medicine, 91594Anhui University of Science and Technology, Huainan, China.
Xin ZhangSchool of Medicine, 91594Anhui University of Science and Technology, Huainan, China.
Jianqiang GuoSchool of Medicine, 91594Anhui University of Science and Technology, Huainan, China.
Yingru XingSchool of Medicine, 91594Anhui University of Science and Technology, Huainan, China.
Jun XieAffiliated Cancer Hospital, 91594Anhui University of Science and Technology, Huainan, China.
Ying BaiSchool of Medicine, 91594Anhui University of Science and Technology, Huainan, China.
Dong HuSchool of Medicine, 91594Anhui University of Science and Technology, Huainan, China.ORCID 0000-0002-8995-4729
Anhui University of Science and Technology · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectFocus on immune-related gene pairs (IRGPs) and develop a prognostic model to predict the prognosis of patients with lung adenocarcinoma (LUAD).

methodsFirst, the LUAD patient dataset was downloaded from The Cancer Genome Atlas database, and paired analysis of immune-related genes was subsequently conducted. Then, LASSO regression was used to screen prognostic IRGPs for building a risk prediction model. Meanwhile, the Gene Expression Omnibus database was used for external validation of the model. Next, the clinical predictive power of IRGPs features was assessed by uni-multivariate Cox regression analysis, the infiltration of key immune cells in high and low IRGPs risk groups was analyzed with CIBERSORT, quanTIseq, and Timer, and the key pathways enriched for IRGPs were assessed using the Kyoto Encyclopedia of Genes and Genomes. Finally, the expression and related functions of key immune cells and genes were verified by immunofluorescence and cell experiments of tissue samples.

resultsIt was revealed that the risk score of 19 IRGPs could be used as accurate indicators to evaluate the prognosis of LUAD patients, and the risk score was mainly related to T cell infiltration based on CIBERSORT analysis. Two genes of IRGPs, IL6, and CCL2, were found to be closely associated with the expression of PD-1/PD-L1 and the function of T-cells. Depending on the results of tissue immunofluorescence, IL6, CCL2, and T cells were highly expressed in the LUAD tissues of patients. Furthermore, IL6 and CCL2 were positively correlated with the expression of T cells. Besides, qRT-PCR assay in four different LUAD cells proved that IL6 and CCL2 were positively correlated with the expression of PD-L1 (P < .001).

conclusionsBased on 19 IRGPs, an effective prognosis model was established to predict the prognosis of LUAD patients. In addition, IL6 and CCL2 are closely related to the function of T-cells.

Indexed as

Adenocarcinoma of LungLung NeoplasmsB7-H1 AntigenHumansInterleukin-6PrognosisB7-H1 AntigenInterleukin-6IRGPslung adenocarcinomaprognostic modeltumorimmunology

Identifiers

PMID36625357
PMCPMC9834935
OpenAlexW4315435846

What OpenQuestion holds

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LicenceCC BY-NC
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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.