Evidence map›Paper›PMID 34488791›Full record

ArticleJournal of translational medicine2021

Interferon regulatory factor family influences tumor immunity and prognosis of patients with colorectal cancer.

Yan-Jie Chen, Shu-Neng Luo, Ling Dong, Tao-Tao Liu, Xi-Zhong Shen, Ning-Ping Zhang, Li Liang

Open access · goldAbstract read
In one paragraph

Article in Journal of translational medicine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed
2.0field-weighted citation impact, top 11% 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

17 citing papers in PubMed, 28 citations in OpenAlex.

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  10. Frontiers in pharmacology · 2024
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  15. Immunogenic cell stress and death.Nature immunology · 2022
    Review
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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

7 authors at 1 institution in 1 country.

Yan-Jie ChenDepartment of Gastroenterology, Zhongshan Hospital, Fudan University, 180 Fenglin Road, Shanghai, 200032, China.ORCID 0000-0001-7303-2212
Shu-Neng LuoDepartment of Gastroenterology, Zhongshan Hospital, Fudan University, 180 Fenglin Road, Shanghai, 200032, China.
Ling DongDepartment of Gastroenterology, Zhongshan Hospital, Fudan University, 180 Fenglin Road, Shanghai, 200032, China.
Tao-Tao LiuDepartment of Gastroenterology, Zhongshan Hospital, Fudan University, 180 Fenglin Road, Shanghai, 200032, China.
Xi-Zhong ShenDepartment of Gastroenterology, Zhongshan Hospital, Fudan University, 180 Fenglin Road, Shanghai, 200032, China.
Ning-Ping ZhangDepartment of Gastroenterology, Zhongshan Hospital, Fudan University, 180 Fenglin Road, Shanghai, 200032, China. zhang.ningping@zs-hospital.sh.cn.
Li LiangDepartment of Medical Oncology, and Cancer Center, Zhongshan Hospital, Fudan University, 180 Fenglin Road, Shanghai, 200032, China. liang.li@zs-hospital.sh.cn.ORCID 0000-0002-1694-380X
Fudan University · CN

Funding

csco-youth innovation research fund Y-young2019-057national natural science foundation of china No. 81900482natural science foundation of shanghai 21ZR1412500Outstanding Youth Foundation of Zhongshan Hospital 2019ZSYQ21
6 · The paper itself

Abstract

backgroundSince interferon regulatory factor (IRF) family functions in immune response to viral infection, its role in colorectal cancer (CRC) has not been inspected before. This study tries to investigate members of IRF family using bioinformatics approaches in aspect of differential expressions, biological function, tumor immune infiltration and clinical prognostic value for patients with CRC.

methodsTranscriptome profiles data, somatic mutations and clinical information of CRC were obtained from COAD/READ dataset of The Cancer Genome Atlas (TCGA) as a training set. Gene expression data (GSE17536 and GSE39582) were downloaded from the Gene Expression Omnibus as a validating set. A random forest algorithm was used to score the risk for every case. Analyzing gene and function enrichment, constructing protein-protein interaction and noncoding RNA network, identifying hub-gene, characterizing tumor immune infiltration, evaluating differences in tumor mutational burden (TMB) and sensitivity to chemotherapeutics or immunotherapy were performed by a series of online tools and R packages. Immunohistochemical (IHC) examinations were carried out validation in tissue samples.

resultsPrincipal-component analysis (PCA) suggested that the transcript expression levels of nine members of IRF family differed between normal colorectum and CRC. The risk score constructed by IRF family not only acted as an independent factor for predicting survival in CRC patients with different biological processes, signaling pathways and TMB, but also indicated different immunotherapy response with diverse immune and stromal cells infiltration. IRF3 and IRF7 were upregulated in CRC and suggested a shorter survival time in patients with CRC. Differentially expressed members of IRF family exhibited varying degrees of immune cell infiltration. IHC analysis showed a positive association between IRF3 and IRF7 expression and tumor-infiltrating immune cells, including CD4

conclusionsOn account of differential expression, IRF family members can help to predict both response to immunotherapy and clinical prognosis of patients with CRC. Our bioinformatic investigation not only gives a preliminary picture of the genetic features as well as tumor microenvironment, but it may provide a clue for further experimental exploration and verification on IRF family members in CRC.

Indexed as

Colorectal NeoplasmsInterferon Regulatory FactorsBiomarkers, TumorGene Expression Regulation, NeoplasticHumansPrognosisTumor MicroenvironmentBiomarkers, TumorInterferon Regulatory FactorsColorectal cancerImmunotherapyInterferon regulatory factor familyPrognosisTumor immune infiltration

Identifiers

PMID34488791
PMCPMC8422700
OpenAlexW3197469235

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.