Evidence map›Paper›PMID 29700419›Full record

ArticleScientific reports2018

The Correlation Between the Immune and Epithelial-Mesenchymal Transition Signatures Suggests Potential Therapeutic Targets and Prognosis Prediction Approaches in Kidney Cancer.

Jiayu Liang, Zhihong Liu, Zijun Zou, Yongquan Tang, Chuan Zhou, Jian Yang, Xin Wei, Yiping Lu

Abstract read
In one paragraph

Article in Scientific reports, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing 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

15 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

8 authors.

Jiayu LiangDepartment of Urology, Institute of Urology, West China Hospital, Sichuan University, Chengdu, 610041, Sichuan, China.
Zhihong LiuDepartment of Urology, Institute of Urology, West China Hospital, Sichuan University, Chengdu, 610041, Sichuan, China.
Zijun ZouDepartment of Urology, Institute of Urology, West China Hospital, Sichuan University, Chengdu, 610041, Sichuan, China.
Yongquan TangDepartment of Urology, Institute of Urology, West China Hospital, Sichuan University, Chengdu, 610041, Sichuan, China.
Chuan ZhouDepartment of Urology, Institute of Urology, West China Hospital, Sichuan University, Chengdu, 610041, Sichuan, China.
Jian YangCenter of Growth, Metabolism, and Aging, Key Laboratory of Bio-Resources and Eco-Environment, College of Life Sciences, Sichuan University, Chengdu, 610064, Sichuan, China.
Xin WeiDepartment of Urology, Institute of Urology, West China Hospital, Sichuan University, Chengdu, 610041, Sichuan, China. wxmd01@gmail.com.
Yiping LuDepartment of Urology, Institute of Urology, West China Hospital, Sichuan University, Chengdu, 610041, Sichuan, China. yipinglu@163.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Both epithelial-mesenchymal transition (EMT) and immune regulation are important biological process in malignant tumours. The current research aims to comprehensively explore the potential association between the epithelial-mesenchymal transition (EMT) signature and immune checkpoint signature and its role in predicting the prognosis of clear-cell renal cell carcinoma (ccRCC) patients. EMT-related genes were collected from an experiment-based study and then were investigated using data from the Cancer Genome Atlas. A total of 357 genes were included, and 23 of them that were upregulated and correlated with prognosis were analysed further as core EMT genes in ccRCC. Interestingly, the emerging immune checkpoints CD276, OX40 and TGFB1 were found to be significantly co-expressed with core EMT genes, and TGFB1, CXCR4, IL10, and IL6 were the most important molecules potentially interacting with EMT molecules in our model, as determined from mRNA co-expression and protein-protein interaction network analysis. Additionally, an integrated scoring model based on FOXM1, TIMP1 and IL6 was successfully established to distinguish ccRCC patients with different clinical risks. Our results identified core genes in the EMT-immunophenotyping correlation and evaluated their risk assessment capabilities, providing more potential therapeutic targets and prediction approaches regarding the translational research of treatment and prognosis in ccRCC.

Indexed as

Biomarkers, TumorAdultAgedDisease SusceptibilityEpithelial-Mesenchymal TransitionFemaleGene Expression ProfilingGene Expression Regulation, NeoplasticGene Regulatory NetworksHumansKaplan-Meier EstimateKidney NeoplasmsMaleMiddle AgedNeoplasm GradingNeoplasm StagingBiomarkers, Tumor

Identifiers

PMID29700419
PMCPMC5919934

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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.