Evidence map›Paper›PMID 35120484›Full record

ArticleBMC cancer2022

FCER1G positively relates to macrophage infiltration in clear cell renal cell carcinoma and contributes to unfavorable prognosis by regulating tumor immunity.

Keqin Dong, Wenjin Chen, Xiuwu Pan, Hongru Wang, Ye Sun, Cheng Qian, Weijie Chen, Chao Wang, Fu Yang, Xingang Cui

Open access · goldAbstract read
In one paragraph

Article in BMC cancer, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers.

0numbers the graph read from it
0cells of the map it votes in
27citing papers in PubMed
5.6field-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

27 citing papers in PubMed, 38 citations in OpenAlex.

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  17. Single cell sequencing of the mouse anterior palate reveals mesenchymal heterogeneity.Developmental dynamics : an official publication of the American Association of Anatomists · 2023
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  20. Digits in a dish: AnFrontiers in cell and developmental biology · 2023
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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

10 authors at 3 institutions in 1 country.

Keqin Dong *Department of Urinary Surgery, Third Affiliated Hospital of Naval Medical University (Eastern Hepatobiliary Surgery Hospital), 700 North Moyu Road, 201805, Shanghai, China.
Wenjin Chen *Department of Urinary Surgery, Third Affiliated Hospital of Naval Medical University (Eastern Hepatobiliary Surgery Hospital), 700 North Moyu Road, 201805, Shanghai, China.
Xiuwu Pan *Department of Urinary Surgery, Third Affiliated Hospital of Naval Medical University (Eastern Hepatobiliary Surgery Hospital), 700 North Moyu Road, 201805, Shanghai, China.
Hongru Wang *Department of Urinary Surgery, Third Affiliated Hospital of Naval Medical University (Eastern Hepatobiliary Surgery Hospital), 700 North Moyu Road, 201805, Shanghai, China.
Ye SunPost-graduate Training Base in Shanghai Gongli Hospital, Post-graduate College, Ningxia Medical University, Yinchuan, China.
Cheng QianPost-graduate Training Base in Shanghai Gongli Hospital, Post-graduate College, Ningxia Medical University, Yinchuan, China.
Weijie ChenDepartment of Urinary Surgery, Third Affiliated Hospital of Naval Medical University (Eastern Hepatobiliary Surgery Hospital), 700 North Moyu Road, 201805, Shanghai, China.
Chao WangDepartment of Urinary Surgery, Gongli Hospital, Second Military Medical University (Naval Medical University), 219 Miaopu Road, 200135, Shanghai, China. superwang2012@aliyun.com.
Fu YangThe Department of Medical Genetics, Naval Medical University, 800 Xiangyin Road, 200433, Shanghai, China. yangfusq@smmu.edu.cn.
Xingang CuiDepartment of Urinary Surgery, Third Affiliated Hospital of Naval Medical University (Eastern Hepatobiliary Surgery Hospital), 700 North Moyu Road, 201805, Shanghai, China. cuixingang@smmu.edu.cn.
Eastern Hepatobiliary Surgery Hospital · CNSecond Military Medical University · CNShanghai Pudong New Area Gongli Hospital · CN

Funding

National Natural Science Foundation of China 81772747National Natural Science Foundation of China 81773154Pudong New Area Science and technology development fund special fund for people's livelihood Research (medical and health) PKJ2019-Y19Shanghai Natural Science Foundation 20ZR1449600the Clinical Research Plan of SHDC SHDC2020CR4025the Program of Shanghai Academic/Technology Research Leader 19XD1405100the Shanghai Key Medical Specialties Project ZK2019A09the Shanghai Municipal Commission of Health and Family Planning 20204Y0042the Technology Project of Jiading District Health System 2019-QN-03the Top-level Clinical Discipline Project of Shanghai Pudong PWYgf2018-03
6 · The paper itself

Abstract

backgroundTumor-associated macrophages (TAMs) are closely related to unfavorable prognosis of patients with clear cell renal cell carcinoma (ccRCC). However, the important molecules in the interaction between ccRCC and TAMs are unclear.

methodsTCGA-KIRC gene expression data of tumor tissues and normal tissues adjacent to tumor were compared to identify differentially expressed genes in ccRCC. TAMs related genes were discovered by analyzing the correlation between these differentially expressed genes and common macrophage biomarkers. Gene set enrichment analysis was performed to predict functions of TAMs related gene. The findings were further validated using RNA sequencing data obtained from the CheckMate 025 study and immunohistochemical analysis of samples from 350 patients with ccRCC. Kaplan-Meier survival curve, Cox regression analysis and Harrell's concordance index analysis were used to determine the prognostic significance.

resultsIn this study, we applied bioinformatic analysis to explore TAMs related differentially expressed genes in ccRCC and identified 5 genes strongly correlated with all selected macrophage biomarkers: STAC3, LGALS9, TREM2, FCER1G, and PILRA. Among them, FCER1G was abundantly expressed in tumor tissues and showed prognostic importance in patients with ccRCC who received treatment with Nivolumab; however, it did not exhibit prognostic value in those treated with Everolimus. We also discovered that high expression levels of FCER1G are related to T cell suppression. Moreover, combination of FCER1G and macrophage biomarker CD68 can improve the prognostic stratification of patients with ccRCC from TCGA-KIRC. Based on the immunohistochemical analysis of samples from patients with ccRCC, we further validated that FCER1G and CD68 are both highly expressed in tumor tissue and correlate with each other. Higher expression of CD68 or FCER1G in ccRCC tissue indicates shorter overall survival and progression-free survival; patients with high expression of both CD68 and FCER1G have the worst outcome. Combining CD68 and FCER1G facilitates the screening of patients with a worse prognosis from the same TNM stage group.

conclusionsHigh expression of FCER1G in ccRCC is closely related to TAMs infiltration and suppression of T cell activation and proliferation. Combining the expression levels of FCER1G and macrophage biomarker CD68 may be a promising postoperative prognostic index for patients with ccRCC.

Indexed as

Adaptor Proteins, Signal TransducingAntigens, CDAntigens, Differentiation, MyelomonocyticBiomarkers, TumorCarcinoma, Renal CellCD68 MoleculeCell ProliferationGalectinsHumansImmunohistochemistryKaplan-Meier EstimateKidney NeoplasmsLymphocyte ActivationMembrane GlycoproteinsPrognosisProportional Hazards ModelsAdaptor Proteins, Signal TransducingAntigens, CDAntigens, Differentiation, MyelomonocyticBiomarkers, TumorCD68 antigen, humanCD68 MoleculeFCER1G, humanGalectinsLGALS9 protein, humanMembrane GlycoproteinsPILRA protein, humanReceptors, FcReceptors, ImmunologicStac3 protein, humanTREM2 protein, humanBioinformatic analysisClear cell renal cell carcinomaFCER1GPrognosisTumor-associated macrophageTumor microenvironment

Identifiers

PMID35120484
PMCPMC8815209
OpenAlexW4220998079

What OpenQuestion holds

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LicenceCC BY
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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.