Evidence map›Paper›PMID 35958446›Full record

ArticleAmerican journal of translational research2022

An inflammatory response-related gene signature associated with immune status and prognosis of acute myeloid leukemia.

Xin Wu, Shiqin Li, Dongjie Chen, Guiping Zheng, Zhaohua Zhang, Zian Li, Xiaoying Sun, Qiangqiang Zhao, Jingjuan Xu

Open access · greenAbstract read
In one paragraph

Article in American journal of translational research, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
1.3field-weighted citation impact, top 21% 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

12 citing papers in PubMed, 15 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

9 authors at 4 institutions in 1 country.

Xin WuDepartment of Spine Surgery, The Third Xiangya Hospital, Central South University Changsha 410013, Hunan, China.
Shiqin LiDepartment of Cell Biology, School of Life Sciences, Central South University Changsha 410013, Hunan, China.
Dongjie ChenDepartment of Hepatopancreatobiliary Surgery, The Third Xiangya Hospital, Central South University Changsha 410013, Hunan, China.
Guiping ZhengDepartment of Hematology, The Qinghai Provincial People's Hospital Xining 810007, Qinghai, China.
Zhaohua ZhangDepartment of Hematology, The Qinghai Provincial People's Hospital Xining 810007, Qinghai, China.
Zian LiDepartment of Clinical Laboratory, Qinghai Provincial People's Hospital Xining 810007, Qinghai, China.
Xiaoying SunDepartment of Emergency, The Qinghai Provincial People's Hospital Xining 810007, China.
Qiangqiang ZhaoDepartment of Hematology, The Qinghai Provincial People's Hospital Xining 810007, Qinghai, China.
Jingjuan XuDepartment of Outpatient, The First People's Hospital of Changzhou Changzhou 213000, Jiangsu, China.
Central South University · CNQinghai No.3 People's Hospital · CNQinghai Provincial Peoples Hospital · CNThe First People's Hospital of Changzhou · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo determine the prognostic significance of inflammatory response-associated genes in acute myeloid leukemia (AML).

methodsTranscriptomic profiles and related clinical information of AML patients were acquired from a public database. To establish a multi-gene prognosis signature, we performed least absolute shrinkage and selection operator Cox analysis for the TCGA cohort and evaluated the ICGC cohort for verification. Subsequently, Kaplan-Meier analysis was carried out to compare the overall survival (OS) rates between high- and low-risk groups. Biological function and single-sample gene set enrichment (ssGSEA) analyses were employed to investigate the association of risk score with immune status and the tumor microenvironment. Prognostic gene expression levels in AML samples and normal controls were confirmed by qRT-PCR and immunofluorescence.

resultsWe identified a potential inflammatory response-related signature comprising 11 differentially expressed genes, including ACVR2A, CCL22, EBI3, EDN1, FFAR2, HRH1, ICOSLG, IL-10, INHBA, ITGB3, and LAMP3, and found that AML patients with high expression levels in the high-risk group had poor OS rates. Biological function analyses revealed that prognostic genes mainly participated in inflammation and immunity signaling pathways. Analyses of cancer-infiltrating immunocytes indicated that in high-risk patients, the immune suppressive microenvironment was significantly affected. The expression of the inflammation reaction-associated signature was found to be associated with susceptibility to chemotherapy. There was a significant difference in prognostic gene expression between AML and control tissues.

conclusionA novel inflammatory response-related signature was developed with 11 candidate genes to predict prognosis and immune status in AML patients.

Indexed as

Acute myeloid leukemiadrug sensitivityimmune statusinflammatory responseoverall survivalprognostic gene signaturetumor microenvironment

Identifiers

PMID35958446
PMCPMC9360836
OpenAlexW4291676942

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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.