Evidence map›Paper›PMID 34777463›Full record

ArticleFrontiers in genetics2021

Establishment of Prognosis Model in Acute Myeloid Leukemia Based on Hypoxia Microenvironment, and Exploration of Hypoxia-Related Mechanisms.

Jinman Zhong, Hang Wu, Xiaoyin Bu, Weiru Li, Shengchun Cai, Meixue Du, Ya Gao, Baohong Ping

Open access · goldAbstract read
In one paragraph

Article in Frontiers in genetics, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.6field-weighted citation impact, top 32% 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

1 citing paper in PubMed, 4 citations in OpenAlex.

  1. Review
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

8 authors at 2 institutions in 1 country.

Jinman ZhongDepartment of Hematology, Nanfang Hospital, Southern Medical University, Guangzhou, China.
Hang WuDepartment of Hematology, Nanfang Hospital, Southern Medical University, Guangzhou, China.
Xiaoyin BuDepartment of Hematology, Nanfang Hospital, Southern Medical University, Guangzhou, China.
Weiru LiDepartment of Hematology, Nanfang Hospital, Southern Medical University, Guangzhou, China.
Shengchun CaiDepartment of Hematology, Nanfang Hospital, Southern Medical University, Guangzhou, China.
Meixue DuDepartment of Hematology, Nanfang Hospital, Southern Medical University, Guangzhou, China.
Ya GaoDepartment of Hematology, Nanfang Hospital, Southern Medical University, Guangzhou, China.
Baohong PingDepartment of Hematology, Nanfang Hospital, Southern Medical University, Guangzhou, China.
Nanfang Hospital · CNSouthern Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Acute myeloid leukemia (AML) is a highly heterogeneous hematologic neoplasm with poor survival outcomes. However, the routine clinical features are not sufficient to accurately predict the prognosis of AML. The expression of hypoxia-related genes was associated with survival outcomes of a variety of hematologic and lymphoid neoplasms. We established an 18-gene signature-based hypoxia-related prognosis model (HPM) and a complex model that consisted of the HPM and clinical risk factors using machine learning methods. Both two models were able to effectively predict the survival of AML patients, which might contribute to improving risk classification. Differentially expressed genes analysis, Gene Ontology (GO) categories, and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analysis were performed to reveal the underlying functions and pathways implicated in AML development. To explore hypoxia-related changes in the bone marrow immune microenvironment, we used CIBERSORT to calculate and compare the proportion of 22 immune cells between the two groups with high and low hypoxia-risk scores. Enrichment analysis and immune cell composition analysis indicated that the biological processes and molecular functions of drug metabolism, angiogenesis, and immune cell infiltration of bone marrow play a role in the occurrence and development of AML, which might help us to evaluate several hypoxia-related metabolic and immune targets for AML therapy.

Indexed as

acute myeloid leukemiabone marrow microenvironmenthypoxiaimmunitymetabolismprognostic model

Identifiers

PMID34777463
PMCPMC8578022
OpenAlexW3211136859

What OpenQuestion holds

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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.