Evidence map›Paper›PMID 36551184›Full record

ArticleBiomolecules2022

EIF4G1 Is a Potential Prognostic Biomarker of Breast Cancer.

Kun Li, Guangqing Tan, Xin Zhang, Weiyu Lu, Jingyi Ren, Yuewen Si, Enoch Appiah Adu-Gyamfi, Fangfang Li, Yingxiong Wang, Biao Xie and 1 more

Open access · goldAbstract read
In one paragraph

Article in Biomolecules, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
1.6field-weighted citation impact, top 16% 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

14 citing papers in PubMed, 19 citations in OpenAlex.

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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 3 institutions in 2 countries.

Kun LiDepartment of Physiology, College of Basic Medicine, Chongqing Medical University, Chongqing 400016, China.
Guangqing TanDepartment of Physiology, College of Basic Medicine, Chongqing Medical University, Chongqing 400016, China.
Xin ZhangDepartment of Physiology, College of Basic Medicine, Chongqing Medical University, Chongqing 400016, China.
Weiyu LuDepartment of Physiology, College of Basic Medicine, Chongqing Medical University, Chongqing 400016, China.
Jingyi RenDepartment of Physiology, College of Basic Medicine, Chongqing Medical University, Chongqing 400016, China.
Yuewen SiDepartment of Physiology, College of Basic Medicine, Chongqing Medical University, Chongqing 400016, China.
Enoch Appiah Adu-GyamfiDepartment of Genetics, Development and Cell Biology, Iowa State University, Ames, IA 50011, USA.ORCID 0000-0002-0667-890X
Fangfang LiJoint International Research Laboratory of Reproduction, Development of the Ministry of Education of China, School of Public Health and Management, Chongqing Medical University, Chongqing 400016, China.
Yingxiong WangJoint International Research Laboratory of Reproduction, Development of the Ministry of Education of China, School of Public Health and Management, Chongqing Medical University, Chongqing 400016, China.
Biao XieDepartment of Biostatistics, School of Public Health and Management, Chongqing Medical University, Chongqing 400016, China.
Meijiao WangDepartment of Physiology, College of Basic Medicine, Chongqing Medical University, Chongqing 400016, China.ORCID 0000-0003-2913-745X
Chongqing Medical University · CNChongqing Public Health Medical Center · CNIowa State University · US

Funding

National Natural Science Foundation of China 82171624National Natural Science Foundation of China 82204159
6 · The paper itself

Abstract

backgroundBreast cancer (BRCA) is one of the most common cancers in women worldwide and a leading cause of death from malignancy. This study was designed to identify a novel biomarker for prognosticating the survival of BRCA patients.

methodsThe prognostic potential of eukaryotic translation initiation factor 4 gamma 1 (EIF4G1) was assessed using RNA sequencing (RNA-seq) data from The Cancer Genome Atlas (TCGA) and Gene Expression Omnibus (GEO) as training cohort and validation set, respectively. The functional enrichment analysis of differentially expressed genes (DEGs) was performed. The relationship between EIF4G1 and tumor microenvironment (TME) was analyzed. Immunotherapy responses were explored by the immunophenoscores (IPS) and tumor immune dysfunction and exclusion (TIDE) score. The Connectivity Map (CMap) was used to discover potentially effective therapeutic molecules against BRCA. Immunohistochemistry (IHC) was applied to compare the protein levels of EIF4G1 in normal and cancer tissues and to verify the prognostic value of EIF4G1.

resultsBRCA patients with increased expression of EIF4G1 had a shorter overall survival (OS) in all cohorts and results from IHC. EIF4G1-related genes were mainly involved in DNA replication, BRCA metastasis, and the MAPK signaling pathway. Infiltration levels of CD4

conclusionEIF4G1 might regulate the TME and affect BRCA metastasis, and it is a potential prognostic biomarker and therapeutic target for BRCA.

Indexed as

Biomarkers, TumorBreast NeoplasmsEukaryotic Initiation Factor-4GFemaleHumansPrognosisTumor MicroenvironmentBiomarkers, TumorEIF4G1 protein, humanEukaryotic Initiation Factor-4Gbreast cancerEIF4G1immune infiltrationimmunohistochemistryprognosis

Identifiers

PMID36551184
PMCPMC9776011
OpenAlexW4310215874

What OpenQuestion holds

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LicenceCC BY
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Registered trials

None linked

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.