Evidence map›Paper›PMID 33062256›Full record

ArticleCell & bioscience2020

Clusterization in acute myeloid leukemia based on prognostic alternative splicing signature to reveal the clinical characteristics in the bone marrow microenvironment.

Nan Zhang, Ping Zhang, Ying Chen, Shifeng Lou, Hanqing Zeng, Jianchuan Deng

Open access · goldAbstract read
In one paragraph

Article in Cell & bioscience, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
0.9field-weighted citation impact, top 26% 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

9 citing papers in PubMed, 13 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

6 authors at 1 institution in 1 country.

Nan ZhangDepartment of Hematology, The Second Affiliated Hospital of Chongqing Medical University, 76 Linjiang Road, Chongqing, 400010 People's Republic of China.
Ping ZhangHematology Laboratory, The Second Affiliated Hospital of Chongqing Medical University, Chongqing, 400010 China.
Ying ChenDepartment of Hematology, The Second Affiliated Hospital of Chongqing Medical University, 76 Linjiang Road, Chongqing, 400010 People's Republic of China.
Shifeng LouDepartment of Hematology, The Second Affiliated Hospital of Chongqing Medical University, 76 Linjiang Road, Chongqing, 400010 People's Republic of China.
Hanqing ZengDepartment of Hematology, The Second Affiliated Hospital of Chongqing Medical University, 76 Linjiang Road, Chongqing, 400010 People's Republic of China.
Jianchuan DengDepartment of Hematology, The Second Affiliated Hospital of Chongqing Medical University, 76 Linjiang Road, Chongqing, 400010 People's Republic of China.ORCID 0000-0001-9927-579X
Dalian Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAlternative splicing (AS), a crucial post-transcriptional regulatory mechanism in expanding the coding capacities of genomes and increasing the diversity of proteins, still faces various challenges in the splicing regulation mechanism of acute myeloid leukemia (AML) and microenvironmental changes.

resultsA total of 27,833 AS events were detected in 8337 genes in 178 AML patients, with exon skip being the predominant type. Approximately 11% of the AS events were significantly related to prognosis, and the prediction models based on various events demonstrated high classification efficiencies. Splicing factors correlation networks further altered the diversity of AS events through epigenetic regulation and clarified the potential mechanism of the splicing pathway. Unsupervised cluster analysis revealed significant correlations between AS and immune features, molecular mutations, immune checkpoints and clinical outcome. The results suggested that AS clusters could be used to identify patient subgroups with different survival outcomes in AML, among which C1 was both associated with good outcome in overall survival. Interestingly, C1 was associated with lower immune scores compared with C2 and C3, and favorable-risk cytogenetics was rarely distributed in C2, but much more common in C1.

conclusionsThis study revealed a comprehensive landscape of AS events, and provides new insight into molecular targeted therapy and immunotherapy strategy for AML.

Indexed as

Acute myeloid leukemiaAlternative splicingGenome-wide analysisMicroenvironmentPrognosis

Identifiers

PMID33062256
PMCPMC7552347
OpenAlexW3092924054

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.