Evidence map›Paper›PMID 38015361›Full record

ArticleCurrent medical science2023

Prediction of Tumor Microenvironment Characteristics and Treatment Response in Lung Squamous Cell Carcinoma by Pseudogene OR7E47P-related Immune Genes.

Ya-Qi Zhao, Hao-Han Zhang, Jie Wu, Lan Li, Jing Li, Hao Zhong, Yan Jin, Tian-Yu Lei, Xin-Yi Zhao, Bin Xu and 2 more

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In one paragraph

Article in Current medical science, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
1.6field-weighted citation impact, top 15% 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

2 citing papers in PubMed, 6 citations in OpenAlex.

  1. 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

12 authors at 2 institutions in 2 countries.

Ya-Qi Zhao *Cancer Center, Renmin Hospital of Wuhan University, Wuhan, 430060, China.
Hao-Han Zhang *Cancer Center, Renmin Hospital of Wuhan University, Wuhan, 430060, China.
Jie WuCancer Center, Renmin Hospital of Wuhan University, Wuhan, 430060, China.
Lan LiCancer Center, Renmin Hospital of Wuhan University, Wuhan, 430060, China.
Jing LiCancer Center, Renmin Hospital of Wuhan University, Wuhan, 430060, China.
Hao ZhongCancer Center, Renmin Hospital of Wuhan University, Wuhan, 430060, China.
Yan JinCancer Center, Renmin Hospital of Wuhan University, Wuhan, 430060, China.
Tian-Yu LeiCancer Center, Renmin Hospital of Wuhan University, Wuhan, 430060, China.
Xin-Yi ZhaoCancer Center, Renmin Hospital of Wuhan University, Wuhan, 430060, China.
Bin XuCancer Center, Renmin Hospital of Wuhan University, Wuhan, 430060, China.
Qi-Bin SongCancer Center, Renmin Hospital of Wuhan University, Wuhan, 430060, China. qibinsong@whu.edu.cn.
Jie HeCancer Center, Renmin Hospital of Wuhan University, Wuhan, 430060, China. hejie@cicams.ac.cn.
Renmin Hospital of Wuhan University · CNWuhan University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivePseudogenes are initially regarded as nonfunctional genomic sequences, but some pseudogenes regulate tumor initiation and progression by interacting with other genes to modulate their transcriptional activities. Olfactory receptor family 7 subfamily E member 47 pseudogene (OR7E47P) is expressed broadly in lung tissues and has been identified as a positive regulator in the tumor microenvironment (TME) of lung adenocarcinoma (LUAD). This study aimed to elucidate the correlation between OR7E47P and tumor immunity in lung squamous cell carcinoma (LUSC).

methodsClinical and molecular information from The Cancer Genome Atlas (TCGA) LUSC cohort was used to identify OR7E47P-related immune genes (ORIGs) by weighted gene correlation network analysis (WGCNA). Based on the ORIGs, 2 OR7E47P clusters were identified using non-negative matrix factorization (NMF) clustering, and the stability of the clustering was tested by an extreme gradient boosting classifier (XGBoost). LASSO-Cox and stepwise regressions were applied to further select prognostic ORIGs and to construct a predictive model (ORPScore) for immunotherapy. The Botling cohorts and 8 immunotherapy cohorts (the Samstein, Braun, Jung, Gide, IMvigor210, Lauss, Van Allen, and Cho cohorts) were included as independent validation cohorts.

resultsOR7E47P expression was positively correlated with immune cell infiltration and enrichment of immune-related pathways in LUSC. A total of 57 ORIGs were identified to classify the patients into 2 OR7E47P clusters (Cluster 1 and Cluster 2) with distinct immune, mutation, and stromal programs. Compared to Cluster 1, Cluster 2 had more infiltration by immune and stromal cells, lower mutation rates of driver genes, and higher expression of immune-related proteins. The clustering performed well in the internal and 5 external validation cohorts. Based on the 7 ORIGs (HOPX, STX2, WFS, DUSP22, SLFN13, GGCT, and CCSER2), the ORPScore was constructed to predict the prognosis and the treatment response. In addition, the ORPScore was a better prognostic factor and correlated positively with the immunotherapeutic response in cancer patients. The area under the curve values ranged from 0.584 to 0.805 in the 6 independent immunotherapy cohorts.

conclusionOur study suggests a significant correlation between OR7E47P and TME modulation in LUSC. ORIGs can be applied to molecularly stratify patients, and the ORPScore may serve as a biomarker for clinical decision-making regarding individualized prognostication and immunotherapy.

Indexed as

Carcinoma, Non-Small-Cell LungCarcinoma, Squamous CellLung NeoplasmsHumansLungPseudogenesReceptors, OdorantTumor MicroenvironmentHGMP07E olfactory receptorReceptors, Odorantimmunotherapylung squamous cell carcinomaolfactory receptor family 7 subfamily E member 47 pseudogene-related immune genepseudogenetumor microenvironment

Identifiers

PMID38015361
OpenAlexW4389081981

What OpenQuestion holds

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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.