Evidence map›Paper›PMID 33986802›Full record

ArticleJournal of oncology2021

An Immune Checkpoint-Related Gene Signature for Predicting Survival of Pediatric Acute Myeloid Leukemia.

Feng Jiang, Xin-Yu Wang, Ming-Yan Wang, Yan Mao, Xiao-Lin Miao, Chu-Yan Wu, Guo-Ping Zhou

Abstract read
In one paragraph

Article in Journal of oncology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed
–field-weighted citation impact
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

21 citing papers in PubMed.

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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.

Feng JiangDepartment of Pediatrics, The First Affiliated Hospital of Nanjing Medical University, Nanjing 210000, China.ORCID https://orcid.org/0000-0002-3525-8752
Xin-Yu WangDepartment of Pediatrics, The First Affiliated Hospital of Nanjing Medical University, Nanjing 210000, China.ORCID https://orcid.org/0000-0003-2158-4917
Ming-Yan WangDepartment of Pediatrics, The First Affiliated Hospital of Nanjing Medical University, Nanjing 210000, China.ORCID https://orcid.org/0000-0001-5277-8488
Yan MaoDepartment of Pediatrics, The First Affiliated Hospital of Nanjing Medical University, Nanjing 210000, China.ORCID https://orcid.org/0000-0003-0440-1605
Xiao-Lin MiaoDepartment of Pediatrics, The First Affiliated Hospital of Nanjing Medical University, Nanjing 210000, China.ORCID https://orcid.org/0000-0002-6148-5027
Chu-Yan WuDepartment of Rehabilitation Medicine, The First Affiliated Hospital of Nanjing Medical University, Nanjing 210000, China.ORCID https://orcid.org/0000-0002-5622-6020
Guo-Ping ZhouDepartment of Pediatrics, The First Affiliated Hospital of Nanjing Medical University, Nanjing 210000, China.ORCID https://orcid.org/0000-0002-7472-9940

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveThe aim of this research was to create a new genetic signature of immune checkpoint-associated genes as a prognostic method for pediatric acute myeloid leukemia (AML).

methodsTranscriptome profiles and clinical follow-up details were obtained in Therapeutically Applicable Research to Generate Effective Treatments (TARGET), a database of pediatric tumors. Secondary data was collected from the Gene Expression Omnibus (GEO) to test the observations. In univariate Cox regression and multivariate Cox regression studies, the expression of immune checkpoint-related genes was studied. A three-mRNA signature was developed for predicting pediatric AML patient survival. Furthermore, the GEO cohort was used to confirm the reliability. A bioinformatics method was utilized to identify the diagnostic and prognostic value.

resultsA three-gene (STAT1, BATF, EML4) signature was developed to identify patients into two danger categories depending on their OS. A multivariate regression study showed that the immune checkpoint-related signature (STAT1, BATF, EML4) was an independent indicator of pediatric AML. By immune cell subtypes analyses, the signature was correlated with multiple subtypes of immune cells.

conclusionIn summary, our three-gene signature can be a useful tool to predict the OS in AML patients.

Identifiers

PMID33986802
PMCPMC8079183

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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.