Evidence map›Paper›PMID 35898498›Full record

ArticleFrontiers in immunology2022

Analysis and Experimental Validation of Rheumatoid Arthritis Innate Immunity Gene CYFIP2 and Pan-Cancer.

ZhenYu Zhao, ShaoJie He, XinCheng Yu, XiaoFeng Lai, Sheng Tang, El Akkawi Mariya M, MoHan Wang, Hai Yan, XingQi Huang, Shan Zeng and 1 more

Open access · goldAbstract read
In one paragraph

Article in Frontiers in immunology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 42 papers.

0numbers the graph read from it
0cells of the map it votes in
42citing papers in PubMed
5.3field-weighted citation impact, top 3% 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

42 citing papers in PubMed, 55 citations in OpenAlex.

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  7. Plin2 Coordinates Immune and Metabolic Reprogramming in Lacrimal Gland Aging.Investigative ophthalmology & visual science · 2025
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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

11 authors at 6 institutions in 2 countries.

ZhenYu ZhaoDepartment of Orthopaedics, The First Affiliated Hospital, Jinan University, Guangzhou, China.
ShaoJie HeDepartment of Orthopaedics, Panyu Hospital of Chinese Medicine, Guangzhou, China.
XinCheng YuDepartment of Orthopaedics, The First Affiliated Hospital, Jinan University, Guangzhou, China.
XiaoFeng LaiDepartment of Orthopaedics, The First Affiliated Hospital, Jinan University, Guangzhou, China.
Sheng TangDepartment of Orthopedics, The Sixth Affiliated Hospital, South China University of Technology, Foshan, China.
El Akkawi Mariya MDepartment of Plastic and Reconstructive Surgery, ZhuJiang Hospital of Southern Medical University, GuangZhou, China.
MoHan WangDepartment of Orthopaedics, The First Affiliated Hospital, Jinan University, Guangzhou, China.
Hai YanDepartment of Medicine, Flushing Hospital Medical Center, Flushing, NY, United States.
XingQi HuangDepartment of Neurosurgery , General Hospital of Tianjin Medical University, China.
Shan ZengDepartment of Rheumatology, The First Affiliated Hospital, Jinan University, Guangzhou, China.
DingSheng ZhaDepartment of Orthopaedics, The First Affiliated Hospital, Jinan University, Guangzhou, China.
First Affiliated Hospital of Jinan University · CNFlushing Hospital Medical Center · USPanyu Hospital of Chinese Medicine · CNSouth China University of Technology · CNTianjin Medical University General Hospital · CNZhujiang Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Rheumatoid arthritis (RA) is a chronic, heterogeneous autoimmune disease. Its high disability rate has a serious impact on society and individuals, but there is still a lack of effective and reliable diagnostic markers and therapeutic targets for RA. In this study, we integrated RA patient information from three GEO databases for differential gene expression analysis. Additionally, we also obtained pan-cancer-related genes from the TCGA and GTEx databases. For RA-related differential genes, we performed functional enrichment analysis and constructed a weighted gene co-expression network (WGCNA). Then, we obtained 490 key genes by intersecting the significant module genes selected by WGCNA and the differential genes. After using the RanddomForest, SVM-REF, and LASSO three algorithms to analyze these key genes and take the intersection, based on the four core genes (BTN3A2, CYFIP2, ST8SIA1, and TYMS) that we found, we constructed an RA diagnosis. The nomogram model showed good reliability and validity after evaluation, and the ROC curves of the four genes showed that these four genes played an important role in the pathogenesis of RA. After further gene correlation analysis, immune infiltration analysis, and mouse gene expression validation, we finally selected CYFIP2 as the cut-in gene for pan-cancer analysis. The results of the pan-cancer analysis showed that CYFIP2 was closely related to the prognosis of patients with various tumors, the degree of immune cell infiltration, as well as TMB, MSI, and other indicators, suggesting that this gene may be a potential intervention target for human diseases including RA and tumors.

Indexed as

Arthritis, RheumatoidNeoplasmsAdaptor Proteins, Signal TransducingAnimalsGene Regulatory NetworksHumansImmunity, InnateMiceReproducibility of ResultsAdaptor Proteins, Signal TransducingCYFIP2 protein, humanCyfip2 protein, mouseCIA mouseCYFIP2GEOpan-cancerrheumatoid arthritisST8SIA1WGCNA

Identifiers

PMID35898498
PMCPMC9311328
OpenAlexW4285006444

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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.