Evidence map›Paper›PMID 34733938›Full record

ArticleAnnals of translational medicine2021

Key immune-related gene ITGB2 as a prognostic signature for acute myeloid leukemia.

Jie Wei, Xun-Jun Huang, Yan Huang, Ming-Yue Xiong, Xiang-You Yao, Zhi-Ning Huang, Si-Nian Li, Wei-Jie Zhou, Da-Lang Fang, Dong-Hong Deng and 1 more

Open access · diamondAbstract read
In one paragraph

Article in Annals of translational medicine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers.

0numbers the graph read from it
0cells of the map it votes in
25citing papers in PubMed
3.7field-weighted citation impact, top 6% 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

25 citing papers in PubMed, 38 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 4 institutions in 1 country.

Jie WeiDepartment of Hematology, Baise People's Hospital, Baise, China.
Xun-Jun HuangDepartment of Hematology, Baise People's Hospital, Baise, China.
Yan HuangDepartment of Hematology, Baise People's Hospital, Baise, China.
Ming-Yue XiongDepartment of Hematology, Baise People's Hospital, Baise, China.
Xiang-You YaoDepartment of Hematology, Baise People's Hospital, Baise, China.
Zhi-Ning HuangDepartment of Hematology, Baise People's Hospital, Baise, China.
Si-Nian LiDepartment of Hematology, Baise People's Hospital, Baise, China.
Wei-Jie ZhouDepartment of Hematology, Baise People's Hospital, Baise, China.
Da-Lang FangDepartment of Breast and Thyroid Surgery, The Affiliated Hospital of Youjiang Medical University for Nationalities, Baise, China.
Dong-Hong DengDepartment of Hematology, The First Affiliated Hospital of Guangxi Medical University, Nanning, China.
Peng ChengDepartment of Hematology, The First Affiliated Hospital of Guangxi Medical University, Nanning, China.
Baise University · CNAffiliated Hospital of Youjiang Medical University for Nationalities · CNFirst Affiliated Hospital of GuangXi Medical University · CNGuangxi Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe tumor microenvironment (TME) has an essential role in tumorigenesis, progression, and therapeutic response in many cancers. Currently, the role of TME in acute myeloid leukemia (AML) is unclear. This study investigated the correlation between immune-related genes and prognosis in AML patients.

methodsTranscriptome RNA-Seq data for 151 AML samples were downloaded from TCGA database (https://portal.gdc.cancer.gov/), and the immune related genes (irgs) were selected from Immport database. Bioinformatics screening was used to identify irgs for AML, and genes with a critical role in the prognosis of AML were selected for further analysis. To confirm the prognostic role of irgs in AML, we undertook protein-protein interaction (PPI) network analysis of the top 30 interacting genes. We then investigated associations between immune cell infiltration and prognosis in AML patients. Immunohistochemistry was used to validate protein expression levels between AML and normal bone marrow samples. Analysis of the drug sensitivity of the selected gene was then performed.

resultsThe integrin lymphocyte function-associated antigen 1 (CD11A/CD18; ITGAL/ITGB2) was identified as the key immune-related gene that significantly influenced prognosis in AML patients. Overexpression of ITGB2 indicated poor prognosis in AML patients (P=0.007). Risk modeling indicated that a high-risk score led to poor outcomes (P=3.076e-08) in AML patients. The risk model showed accuracy for predicting prognosis in AML patients, with area under curve (AUC) at 1 year, 0.816; AUC at 3 years, 0.82; and AUC at 5 years, 0.875. In addition, we found that ITGB2 had a powerful influence on immune cell infiltration into AML TME. The results of immunohistochemistry showed that AML patients had significantly higher ITGB2 protein expression than normal samples. The AML patients were divided into 2 groups based on ITGB2 risk scores. Drug sensitivity test results indicated that the high-risk group was sensitive to cytarabine, axitinib, bosutinib, and docetaxel, but resistant to cisplatin and bortezomib.

conclusionsIn the present study, we found that ITGB2 may be able to serve as a biomarker for assessing prognosis and drug sensitivity in AML patients.

Indexed as

Acute myeloid leukemia (AML)ITGB2tumor microenvironment (TME)

Identifiers

PMID34733938
PMCPMC8506550
OpenAlexW3194797978

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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.